Computational Imaging & VisAnalysis

#345: E. Asante, D. Hummel, S. Gurung, Y. Kassim, N. Al-Shakarji, K. Palaniappan, V. Sittaramane, and A. Chandrasekhar

Defective neuronal positioning correlates with aberrant motor circuit function in zebrafish

Frontiers in Neural Circuits, Volume 15, 2021

jaw movement, food intake, behavior, neuronal migration, axon guidance, zebrafish, neural circuits, facial branchiomotor neuron, fusion, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Zebafish2021:FrontiersJornal,
  author = "E. Asante and D. Hummel and S. Gurung and Y. Kassim and N. Al-Shakarji and K. Palaniappan and V. Sittaramane and A. Chandrasekhar",
  title = "Defective neuronal positioning correlates with aberrant motor circuit function in zebrafish",
  year = 2021,
  journal = "Frontiers in Neural Circuits",
  volume = 15,
  keywords = "jaw movement, food intake, behavior, neuronal migration, axon guidance, zebrafish, neural circuits, facial branchiomotor neuron, fusion, biomedical",
  doi = "10.3389/fncir.2021.690475",
  url = "https://www.frontiersin.org/article/10.3389/fncir.2021.690475"
}

E. Asante, D. Hummel, S. Gurung, Y. Kassim, N. Al-Shakarji, K. Palaniappan, V. Sittaramane, and A. Chandrasekhar. Defective neuronal positioning correlates with aberrant motor circuit function in zebrafish. Frontiers in Neural Circuits, volume 15, 2021.

#308: R. Aktar, V. H. Huxley, G. Guidoboni, H. AliAkbarpour, F. Bunyak, and K. Palaniappan

Mosaicing of dynamic mesentery video with gradient blending

IEEE International Conference on Image Processing (ICIP), pgs. 563--567, 2020

normalize cross correlation, gradient blending, mosaicing, registration, biomedical, mesentery

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{aktar2020mosaicing,
  author = "R. Aktar and V. H. Huxley and G. Guidoboni and H. AliAkbarpour and F. Bunyak and K. Palaniappan",
  title = "Mosaicing of dynamic mesentery video with gradient blending",
  year = 2020,
  journal = "IEEE International Conference on Image Processing (ICIP)",
  pages = "563--567",
  keywords = "normalize cross correlation, gradient blending, mosaicing, registration, biomedical, mesentery",
  doi = "10.1109/ICIP40778.2020.9191045",
  url = "https://ieeexplore.ieee.org/abstract/document/9191045"
}

R. Aktar, V. H. Huxley, G. Guidoboni, H. AliAkbarpour, F. Bunyak, and K. Palaniappan. Mosaicing of dynamic mesentery video with gradient blending. IEEE International Conference on Image Processing (ICIP), pages 563--567, 2020.

#257: Y. M. Kassim, V. B. S. Prasath, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan

Microvasculature segmentation of arterioles using deep CNN

IEEE International Conference on Image Processing (ICIP), 2017

deep learning, segmentation, vasculature, biomedical

Abstract, Bibtex, PlainText, URL, Google Scholar

@inproceedings{Yasmin:Deep-Vessel-ICIP2017,
  author = "Y. M. Kassim and V. B. S. Prasath and O. V. Glinskii and V. V. Glinsky and V. H. Huxley and K. Palaniappan",
  title = "Microvasculature segmentation of arterioles using deep CNN",
  year = 2017,
  journal = "IEEE International Conference on Image Processing (ICIP)",
  month = "Sep",
  keywords = "deep learning, segmentation, vasculature, biomedical",
  url = "http://2017.ieeeicip.org/"
}

Y. M. Kassim, V. B. S. Prasath, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan. Microvasculature segmentation of arterioles using deep CNN. IEEE International Conference on Image Processing (ICIP), September 2017.

#241: Z. Liang, S. Jaeger, G. Thoma, J. Huang, P. Guo, A. Powell, K. Silamut, I. Ersoy, M. Poostchi, K. Palaniappan, and R. J. Maude

CNN - Based Image Analysis for Malaria Diagnosis

Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016

deep learning, malaira, cells, classification, biomedical

Abstract, Bibtex, PlainText, Google Scholar

@inproceedings{2016a,
  author = "Z. Liang and S. Jaeger and G. Thoma and J. Huang and P. Guo and A. Powell and K. Silamut and I. Ersoy and M. Poostchi and K. Palaniappan and R. J. Maude",
  title = "CNN - Based Image Analysis for Malaria Diagnosis",
  year = 2016,
  journal = "Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
  month = "Dec",
  keywords = "deep learning, malaira, cells, classification, biomedical"
}

Z. Liang, S. Jaeger, G. Thoma, J. Huang, P. Guo, A. Powell, K. Silamut, I. Ersoy, M. Poostchi, K. Palaniappan, and R. J. Maude. CNN - Based Image Analysis for Malaria Diagnosis. Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December 2016.

#235: V. B. S. Prasath, Y. M. Kassim, Z. A. Oraibi, J.-B. Guiriec, A. Hafiane, G. Seetharaman, and K. Palaniappan

HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests

Proc. IEEE International Conference on Pattern Recognition (ICPR), 2016

hep-2 cell classification, cell segmentation, texture features, motif patterns, random forests, segmentation, biomedical

Abstract, Bibtex, PlainText, URL, Google Scholar

@inproceedings{2016a,
  author = "V. B. S. Prasath and Y. M. Kassim and Z. A. Oraibi and J.-B. Guiriec and A. Hafiane and G. Seetharaman and K. Palaniappan",
  title = "HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests",
  year = 2016,
  journal = "Proc. IEEE International Conference on Pattern Recognition (ICPR)",
  month = "Dec",
  keywords = "hep-2 cell classification, cell segmentation, texture features, motif patterns, random forests, segmentation, biomedical",
  url = "http://hep2.unisa.it/"
}

V. B. S. Prasath, Y. M. Kassim, Z. A. Oraibi, J.-B. Guiriec, A. Hafiane, G. Seetharaman, and K. Palaniappan. HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests. Proc. IEEE International Conference on Pattern Recognition (ICPR), December 2016.

#240: Y. M. Kassim, V. B. S. Prasath, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan

Confocal vessel structure segmentation with optimized feature bank and random forests

Proc. IEEE Applied Imagery Pattern Recognition (AIPR), 2016

random forest, segmentation, vasculature, confocal, biomedical

Abstract, Bibtex, PlainText, Google Scholar

@inproceedings{Kassim:RandomForest-Confocal-AIPR-2016,
  author = "Y. M. Kassim and V. B. S. Prasath and O. Glinskii and V. Glinsky and V. Huxley and K. Palaniappan",
  title = "Confocal vessel structure segmentation with optimized feature bank and random forests",
  year = 2016,
  journal = "Proc. IEEE Applied Imagery Pattern Recognition (AIPR)",
  month = "Oct",
  keywords = "random forest, segmentation, vasculature, confocal, biomedical"
}

Y. M. Kassim, V. B. S. Prasath, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. Confocal vessel structure segmentation with optimized feature bank and random forests. Proc. IEEE Applied Imagery Pattern Recognition (AIPR), October 2016.

#226: J. Kwon, A. Wang, D. J. Burke, H. E. Boudreau, K. J. Lekstrom, A. Korzeniowska, R. Sugamata, Y.-S. Kim, L. Yi, I. Ersoy, S. Jaeger, K. Palaniappan, D. R. Ambruso, S. H. Jackson, and T. L. Leto

Peroxiredoxin 6 (Prdx6) supports NADPH oxidase1 (Nox1)-based superoxide generation and cell migration

Free Radical Biology and Medicine, 2016

cell migration, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Kwon-Cell-Migration-FRBM2016,
  author = "J. Kwon and A. Wang and D. J. Burke and H. E. Boudreau and K. J. Lekstrom and A. Korzeniowska and R. Sugamata and Y.-S. Kim and L. Yi and I. Ersoy and S. Jaeger and K. Palaniappan and D. R. Ambruso and S. H. Jackson and T. L. Leto",
  title = "Peroxiredoxin 6 (Prdx6) supports NADPH oxidase1 (Nox1)-based superoxide generation and cell migration",
  year = 2016,
  journal = "Free Radical Biology and Medicine",
  month = "Apr",
  keywords = "cell migration, biomedical",
  doi = "10.1016/j.freeradbiomed.2016.04.009"
}

J. Kwon, A. Wang, D. J. Burke, H. E. Boudreau, K. J. Lekstrom, A. Korzeniowska, R. Sugamata, Y.-S. Kim, L. Yi, I. Ersoy, S. Jaeger, K. Palaniappan, D. R. Ambruso, S. H. Jackson, and T. L. Leto. Peroxiredoxin 6 (Prdx6) supports NADPH oxidase1 (Nox1)-based superoxide generation and cell migration. Free Radical Biology and Medicine, April 2016.

#229: S. Meena, V. B. S. Prasath, Y. M. Kassim, R. J. Maude, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan

Multiquadric spline-based interactive segmentation of vascular networks

38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 5913-5916, 2016

interactive, segmentation, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Meena:Spline-EMBS-2016,
  author = "S. Meena and V. B. S. Prasath and Y. M. Kassim and R. J. Maude and O. Glinskii and V. Glinsky and V. Huxley and K. Palaniappan",
  title = "Multiquadric spline-based interactive segmentation of vascular networks",
  year = 2016,
  journal = "38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "5913-5916",
  keywords = "interactive, segmentation, vasculature, biomedical",
  doi = "10.1109/EMBC.2016.7592074"
}

S. Meena, V. B. S. Prasath, Y. M. Kassim, R. J. Maude, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. Multiquadric spline-based interactive segmentation of vascular networks. 38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 5913-5916, 2016.

#225: Y. M. Kassim, V. B. S. Prasath, R. Pelapur, O. Glinskii, R. J. Maude, V. Glinsky, V. Huxley, and K. Palaniappan

Random forests for dura mater microvasculature segmentation using epifluorescence images

38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 2901-2904, 2016

random forest, segmentation, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Kassim:RandomForest-EMBS-2016,
  author = "Y. M. Kassim and V. B. S. Prasath and R. Pelapur and O. Glinskii and R. J. Maude and V. Glinsky and V. Huxley and K. Palaniappan",
  title = "Random forests for dura mater microvasculature segmentation using epifluorescence images",
  year = 2016,
  journal = "38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "2901-2904",
  keywords = "random forest, segmentation, vasculature, biomedical",
  doi = "10.1109/EMBC.2016.7591336"
}

Y. M. Kassim, V. B. S. Prasath, R. Pelapur, O. Glinskii, R. J. Maude, V. Glinsky, V. Huxley, and K. Palaniappan. Random forests for dura mater microvasculature segmentation using epifluorescence images. 38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 2901-2904, 2016.

#201: A. Haridas, F. Bunyak, and K. Palaniappan

Interactive segmentation relabeling for classification of whole-slide histopathology imagery

IEEE Int. Symposium on Computer-Based Medical Systems (CBMS), pgs. 84-87, 2015

visualization, big data, biomedical, histopathology

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Haridas:CBMS-2015,
  author = "A. Haridas and F. Bunyak and K. Palaniappan",
  title = "Interactive segmentation relabeling for classification of whole-slide histopathology imagery",
  year = 2015,
  booktitle = "IEEE Int. Symposium on Computer-Based Medical Systems (CBMS)",
  pages = "84-87",
  month = "Jun",
  keywords = "visualization, big data, biomedical, histopathology",
  doi = "10.1109/CBMS.2015.89",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7167462"
}

A. Haridas, F. Bunyak, and K. Palaniappan. Interactive segmentation relabeling for classification of whole-slide histopathology imagery. IEEE Int. Symposium on Computer-Based Medical Systems (CBMS), pages 84-87, June 2015.

#215: F. Bunyak, A. Hafiane, Z. Al-Milagi, I. Ersoy, A. Haridas, and K. Palaniappan

A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images

Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pgs. 450-453, 2015

biomedical, histopathology, segmentation, classification

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Bunyak:histo-seg-2015,
  author = "F. Bunyak and A. Hafiane and Z. Al-Milagi and I. Ersoy and A. Haridas and K. Palaniappan",
  title = "A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images",
  year = 2015,
  booktitle = "Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
  pages = "450-453",
  keywords = "biomedical, histopathology, segmentation, classification",
  url = "http://cci.drexel.edu/ieeebibm/bibm2015/index.html"
}

F. Bunyak, A. Hafiane, Z. Al-Milagi, I. Ersoy, A. Haridas, and K. Palaniappan. A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images. Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pages 450-453, 2015.

#206: S. Thutupalli, M. Sun, F. Bunyak, K. Palaniappan, and J. W. Shaevitz

Directional reversals enable Myxococcus xanthus cells to produce collective one-dimensional streams during fruiting-body formation

Journal of The Royal Society Interface, Volume 12, pgs. 20150049, 2015

biomedical, cell tracking, microscopy

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Thutupalli:Myxococcus-Interface-2015,
  author = "S. Thutupalli and M. Sun and F. Bunyak and K. Palaniappan and J. W. Shaevitz",
  title = "Directional reversals enable Myxococcus xanthus cells to produce collective one-dimensional streams during fruiting-body formation",
  year = 2015,
  journal = "Journal of The Royal Society Interface",
  volume = 12,
  number = 109,
  pages = "20150049",
  keywords = "biomedical, cell tracking, microscopy",
  doi = "10.1098/rsif.2015.0049",
  url = "http://arxiv.org/pdf/1410.7230"
}

S. Thutupalli, M. Sun, F. Bunyak, K. Palaniappan, and J. W. Shaevitz. Directional reversals enable Myxococcus xanthus cells to produce collective one-dimensional streams during fruiting-body formation. Journal of The Royal Society Interface, volume 12, issue 109, pages 20150049, 2015.

#198: V. B. S. Prasath, R. Pelapur, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan

Multiscale tensor anisotropic filtering of fluorescence microscopy for denoising microvasculature

IEEE Int. Symposium on Biomedical Imaging (ISBI), pgs. 540-543, 2015

anisotropic diffusion, denoising, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Surya:VesselDiffusion-ISBI-2015,
  author = "V. B. S. Prasath and R. Pelapur and O. V. Glinskii and V. V. Glinsky and V. H. Huxley and K. Palaniappan",
  title = "Multiscale tensor anisotropic filtering of fluorescence microscopy for denoising microvasculature",
  year = 2015,
  booktitle = "IEEE Int. Symposium on Biomedical Imaging (ISBI)",
  pages = "540-543",
  keywords = "anisotropic diffusion, denoising, vasculature, biomedical",
  doi = "10.1109/ISBI.2015.7163930",
  url = "https://sites.google.com/site/suryaiit/research/microscopy/denoise"
}

V. B. S. Prasath, R. Pelapur, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan. Multiscale tensor anisotropic filtering of fluorescence microscopy for denoising microvasculature. IEEE Int. Symposium on Biomedical Imaging (ISBI), pages 540-543, 2015.

#187: J. C. Moreno, V. B. S. Prasath, H. Proenca, and K. Palaniappan

Fast and globally convex multiphase active contours for brain MRI segmentation

Computer Vision and Image Understanding, Volume 125, pgs. 237-250, 2014

segmentation, active contours, globally convex, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Juan:BrainMRI-Segmentation-CVIU-2014,
  author = "J. C. Moreno and V. B. S. Prasath and H. Proenca and K. Palaniappan",
  title = "Fast and globally convex multiphase active contours for brain MRI segmentation",
  year = 2014,
  journal = "Computer Vision and Image Understanding",
  volume = 125,
  pages = "237-250",
  month = "Aug",
  keywords = "segmentation, active contours, globally convex, biomedical",
  doi = "10.1016/j.cviu.2014.04.010",
  url = "http://cell.missouri.edu/pages/BrainMRISegmentation/"
}

J. C. Moreno, V. B. S. Prasath, H. Proenca, and K. Palaniappan. Fast and globally convex multiphase active contours for brain MRI segmentation. Computer Vision and Image Understanding, volume 125, pages 237-250, August 2014.

#179: M. Sun, J. Huang, F. Bunyak, K. Gumpper, G. De, M. Sermersheim, G. Liu, P.-H. Lin, K. Palaniappan, and J. Ma

Superresolution microscope image reconstruction by spatiotemporal object decomposition and association: application in resolving t-tubule structure in skeletal muscle

Optics Express, Volume 22, pgs. 12160-12176, 2014

biomedical, image analysis

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Sun:Supreresolution-microscope-2014a,
  author = "M. Sun and J. Huang and F. Bunyak and K. Gumpper and G. De and M. Sermersheim and G. Liu and P.-H. Lin and K. Palaniappan and J. Ma",
  title = "Superresolution microscope image reconstruction by spatiotemporal object decomposition and association: application in resolving t-tubule structure in skeletal muscle",
  year = 2014,
  journal = "Optics Express",
  volume = 22,
  number = 10,
  pages = "12160-12176",
  month = "May",
  keywords = "biomedical, image analysis",
  doi = "10.1364/OE.22.012160",
  url = "http://www.opticsinfobase.org/oe/abstract.cfm?uri=oe-22-10-12160"
}

M. Sun, J. Huang, F. Bunyak, K. Gumpper, G. De, M. Sermersheim, G. Liu, P.-H. Lin, K. Palaniappan, and J. Ma. Superresolution microscope image reconstruction by spatiotemporal object decomposition and association: application in resolving t-tubule structure in skeletal muscle. Optics Express, volume 22, issue 10, pages 12160-12176, May 2014.

#177: Z. Hong, Z. Sun, M. Li, Z. Li, F. Bunyak, I. Ersoy, J. P. Trzeciakowski, M. C. Staiculescu, M. Jin, L. Martinez-Lemus, M. A. Hill, K. Palaniappan, and G. A. Meininger

Vasoactive agonists exert dynamic and coordinated effects on vascular smooth muscle cell elasticity, cytoskeletal remodelling and adhesion

The Journal of Physiology, Volume 592, pgs. 1249-1266, 2014

biomedical, vascular

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Hong:Vasoactive-Physiology-2014a,
  author = "Z. Hong and Z. Sun and M. Li and Z. Li and F. Bunyak and I. Ersoy and J. P. Trzeciakowski and M. C. Staiculescu and M. Jin and L. Martinez-Lemus and M. A. Hill and K. Palaniappan and G. A. Meininger",
  title = "Vasoactive agonists exert dynamic and coordinated effects on vascular smooth muscle cell elasticity, cytoskeletal remodelling and adhesion",
  year = 2014,
  journal = "The Journal of Physiology",
  volume = 592,
  pages = "1249-1266",
  month = "Mar",
  keywords = "biomedical, vascular",
  doi = "10.1113/jphysiol.2013.264929",
  url = "http://jp.physoc.org/content/592/6/1249.short"
}

Z. Hong, Z. Sun, M. Li, Z. Li, F. Bunyak, I. Ersoy, J. P. Trzeciakowski, M. C. Staiculescu, M. Jin, L. Martinez-Lemus, M. A. Hill, K. Palaniappan, and G. A. Meininger. Vasoactive agonists exert dynamic and coordinated effects on vascular smooth muscle cell elasticity, cytoskeletal remodelling and adhesion. The Journal of Physiology, volume 592, pages 1249-1266, March 2014.

#183: R. Pelapur, V. B. S. Prasath, F. Bunyak, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan

Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation

36th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 4735-4738, 2014

multifocus, image fusion, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar

@inproceedings{Rengarajan:Multifocus-EMBS-2014,
  author = "R. Pelapur and V. B. S. Prasath and F. Bunyak and O. V. Glinskii and V. V. Glinsky and V. H. Huxley and K. Palaniappan",
  title = "Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation",
  year = 2014,
  booktitle = "36th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "4735-4738",
  keywords = "multifocus, image fusion, vasculature, biomedical",
  doi = "10.1109/EMBC.2014.6944682",
  url = "http://www.ncbi.nlm.nih.gov/pubmed/25571050"
}

R. Pelapur, V. B. S. Prasath, F. Bunyak, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan. Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation. 36th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 4735-4738, 2014.

#184: S. Candemir, S. Jaeger, K. Palaniappan, J. P. Musco, R. Singh, Z. Xue, A. Karargyris, S. Antani, G. Thoma, and C. J. McDonald

Lung segmentation in chest radiographs using anatomical atlases with non-rigid registration

IEEE Trans. Medical Imaging, Volume 33, pgs. 577-590, 2014

segmentation, graph methods, chest x-ray, cbir, registration, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Sema:TMI-2013-lung-seg,
  author = "S. Candemir and S. Jaeger and K. Palaniappan and J. P. Musco and R. Singh and Z. Xue and A. Karargyris and S. Antani and G. Thoma and C. J. McDonald",
  title = "Lung segmentation in chest radiographs using anatomical atlases with non-rigid registration",
  year = 2014,
  journal = "IEEE Trans. Medical Imaging",
  volume = 33,
  number = 2,
  pages = "577-590",
  keywords = "segmentation, graph methods, chest x-ray, cbir, registration, biomedical",
  doi = "10.1109/TMI.2013.2290491"
}

S. Candemir, S. Jaeger, K. Palaniappan, J. P. Musco, R. Singh, Z. Xue, A. Karargyris, S. Antani, G. Thoma, and C. J. McDonald. Lung segmentation in chest radiographs using anatomical atlases with non-rigid registration. IEEE Trans. Medical Imaging, volume 33, issue 2, pages 577-590, 2014.

#189: S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. Singh, S. Antani, G. Thoma, Y.-X. Wang, P.-X. Lu, and C. J. McDonald

Automatic tuberculosis screening using chest radiographs

IEEE Trans. Medical Imaging, Volume 33, pgs. 233-245, 2014

classification, features, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Jaeger:TMI-2013-TBScreening,
  author = "S. Jaeger and A. Karargyris and S. Candemir and L. Folio and J. Siegelman and F. Callaghan and Z. Xue and K. Palaniappan and R. Singh and S. Antani and G. Thoma and Y.-X. Wang and P.-X. Lu and C. J. McDonald",
  title = "Automatic tuberculosis screening using chest radiographs",
  year = 2014,
  journal = "IEEE Trans. Medical Imaging",
  volume = 33,
  number = 2,
  pages = "233-245",
  keywords = "classification, features, machine learning, data mining, biomedical",
  doi = "10.1109/TMI.2013.2284099"
}

S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. Singh, S. Antani, G. Thoma, Y.-X. Wang, P.-X. Lu, and C. J. McDonald. Automatic tuberculosis screening using chest radiographs. IEEE Trans. Medical Imaging, volume 33, issue 2, pages 233-245, 2014.

#167: S. Candemir, K. Palaniappan, and Y. S. Akgul

Multi-class regularization parameter learning for graph cut image segmentation

IEEE Int. Symposium on Biomedical Imaging (ISBI), 2013

segmentation, graph methods, chest x-ray, machine learning, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Sema:ISBI-2013-graph-cut,
  author = "S. Candemir and K. Palaniappan and Y. S. Akgul",
  title = "Multi-class regularization parameter learning for graph cut image segmentation",
  year = 2013,
  booktitle = "IEEE Int. Symposium on Biomedical Imaging (ISBI)",
  keywords = "segmentation, graph methods, chest x-ray, machine learning, biomedical",
  doi = "10.1109/ISBI.2013.6556813"
}

S. Candemir, K. Palaniappan, and Y. S. Akgul. Multi-class regularization parameter learning for graph cut image segmentation. IEEE Int. Symposium on Biomedical Imaging (ISBI), 2013.

#166: V. B. S. Prasath, O. Haddad, F. Bunyak, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan

Robust filtering based segmentation and analysis of dura mater vessel laminae using epiflourescence microscopy

35th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 6055-6058, 2013

segmentation, image enhancement, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Surya:EMBC-2013-vessel,
  author = "V. B. S. Prasath and O. Haddad and F. Bunyak and O. Glinskii and V. Glinsky and V. Huxley and K. Palaniappan",
  title = "Robust filtering based segmentation and analysis of dura mater vessel laminae using epiflourescence microscopy",
  year = 2013,
  booktitle = "35th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "6055-6058",
  keywords = "segmentation, image enhancement, vasculature, biomedical"
}

V. B. S. Prasath, O. Haddad, F. Bunyak, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. Robust filtering based segmentation and analysis of dura mater vessel laminae using epiflourescence microscopy. 35th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 6055-6058, 2013.

#169: Z. Hong, I. Ersoy, M. Sun, F. Bunyak, P. Hampel, Z. Hong, Z. Sun, Z. Li, I. Levitan, G. A. Meininger, and K. Palaniappan

Influence of membrane cholesterol and substrate elasticity on endothelial cell spreading behavior

J. Biomedical Material Research Part A, 2013

cell segmentation, active contours, high content, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar

@article{Zhongqui:cell-spreading-2012,
  author = "Z. Hong and I. Ersoy and M. Sun and F. Bunyak and P. Hampel and Z. Hong and Z. Sun and Z. Li and I. Levitan and G. A. Meininger and K. Palaniappan",
  title = "Influence of membrane cholesterol and substrate elasticity on endothelial cell spreading behavior",
  year = 2013,
  journal = "J. Biomedical Material Research Part A",
  keywords = "cell segmentation, active contours, high content, biomedical",
  doi = "10.1002/jbm.a.34504",
  url = "http://www.ncbi.nlm.nih.gov/pubmed/23239612"
}

Z. Hong, I. Ersoy, M. Sun, F. Bunyak, P. Hampel, Z. Hong, Z. Sun, Z. Li, I. Levitan, G. A. Meininger, and K. Palaniappan. Influence of membrane cholesterol and substrate elasticity on endothelial cell spreading behavior. J. Biomedical Material Research Part A, 2013.

#168: J. Fraser, A. Haridas, G. Seetharaman, R. Rao, and K. Palaniappan

KOLAM: A cross-platform architecture for scalable visualization and tracking in wide-area motion imagery

Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8747, pgs. 87470N, 2013

visualization, big data, wami, tracking, fmv, features, motion, dod, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

KOLAM is an open, cross-platform, interoperable, scalable and extensible framework supporting a novel multi- scale spatiotemporal dual-cache data structure for big data visualization and visual analytics. This paper focuses on the use of KOLAM for target tracking in high-resolution, high throughput wide format video also known as wide-area motion imagery (WAMI). It was originally developed for the interactive visualization of extremely large geospatial imagery of high spatial and spectral resolution. KOLAM is platform, operating system and (graphics) hardware independent, and supports embedded datasets scalable from hundreds of gigabytes to feasibly petabytes in size on clusters, workstations, desktops and mobile computers. In addition to rapid roam, zoom and hyper- jump spatial operations, a large number of simultaneously viewable embedded pyramid layers (also referred to as multiscale or sparse imagery), interactive colormap and histogram enhancement, spherical projection and terrain maps are supported. The KOLAM software architecture was extended to support airborne wide-area motion imagery by organizing spatiotemporal tiles in very large format video frames using a temporal cache of tiled pyramid cached data structures. The current version supports WAMI animation, fast intelligent inspection, trajectory visualization and target tracking (digital tagging); the latter by interfacing with external automatic tracking software. One of the critical needs for working with WAMI is a supervised tracking and visualization tool that allows analysts to digitally tag multiple targets, quickly review and correct tracking results and apply geospatial visual analytic tools on the generated trajectories. One-click manual tracking combined with multiple automated tracking algorithms are available to assist the analyst and increase human effectiveness. Keywords: wide-area motion imagery, WAMI, digital tagging, assisted tracking, trajectory visualization, tra- jectory data mining, spatiotemporal cache, multiresolution tiled pyramid imagery

@inproceedings{Fraser:KOLAM_SPIE-2013,
  author = "J. Fraser and A. Haridas and G. Seetharaman and R. Rao and K. Palaniappan",
  title = "KOLAM: A cross-platform architecture for scalable visualization and tracking in wide-area motion imagery",
  year = 2013,
  booktitle = "Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation)",
  volume = 8747,
  pages = "87470N",
  keywords = "visualization, big data, wami, tracking, fmv, features, motion, dod, biomedical",
  doi = "10.1117/12.2018162"
}

J. Fraser, A. Haridas, G. Seetharaman, R. Rao, and K. Palaniappan. KOLAM: A cross-platform architecture for scalable visualization and tracking in wide-area motion imagery. Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation), volume 8747, pages 87470N, 2013.

#152: V. B. S. Prasath, I. Figueiredo, P. Figueiredo, and K. Palaniappan

Mucosal region detection and 3D reconstruction in wireless capsule endoscopy videos using active contours

34th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 4014--4017, 2012

cell detection, cell segmentation, cell tracking, active contours, red blood cells, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Surya:EMBC-2012-wce,
  author = "V. B. S. Prasath and I. Figueiredo and P. Figueiredo and K. Palaniappan",
  title = "Mucosal region detection and 3D reconstruction in wireless capsule endoscopy videos using active contours",
  year = 2012,
  booktitle = "34th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "4014--4017",
  keywords = "cell detection, cell segmentation, cell tracking, active contours, red blood cells, biomedical",
  doi = "10.1109/EMBC.2012.6346847"
}

V. B. S. Prasath, I. Figueiredo, P. Figueiredo, and K. Palaniappan. Mucosal region detection and 3D reconstruction in wireless capsule endoscopy videos using active contours. 34th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 4014--4017, 2012.

#161: I. Ersoy, F. Bunyak, J. Higgins, and K. Palaniappan

Coupled edge profile geodesic active contours for red blood cell flow analysis

IEEE Int. Symposium on Biomedical Imaging (ISBI), 2012

cell segmentation, level set active contours, red blood cells, cell tracking, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Ersoy:ISBI-2012-rbc,
  author = "I. Ersoy and F. Bunyak and J. Higgins and K. Palaniappan",
  title = "Coupled edge profile geodesic active contours for red blood cell flow analysis",
  year = 2012,
  booktitle = "IEEE Int. Symposium on Biomedical Imaging (ISBI)",
  keywords = "cell segmentation, level set active contours, red blood cells, cell tracking, biomedical",
  doi = "10.1109/ISBI.2012.6235656",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6235656"
}

I. Ersoy, F. Bunyak, J. Higgins, and K. Palaniappan. Coupled edge profile geodesic active contours for red blood cell flow analysis. IEEE Int. Symposium on Biomedical Imaging (ISBI), 2012.

#143: A. Chowdhury, A. Paul, F. Bunyak, D. Cornelison, and K. Palaniappan

Semi-automated tracking of muscle satellite cells in brightfield microscopy video

IEEE Int. Conf. Image Processing, 2012

cell detection, cell tracking, particle filters, image enhancement, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Ananda:satellite-cell_ICIP-2012,
  author = "A. Chowdhury and A. Paul and F. Bunyak and D. Cornelison and K. Palaniappan",
  title = "Semi-automated tracking of muscle satellite cells in brightfield microscopy video",
  year = 2012,
  booktitle = "IEEE Int. Conf. Image Processing",
  keywords = "cell detection, cell tracking, particle filters, image enhancement, biomedical",
  doi = "10.1109/ICIP.2012.6467487"
}

A. Chowdhury, A. Paul, F. Bunyak, D. Cornelison, and K. Palaniappan. Semi-automated tracking of muscle satellite cells in brightfield microscopy video. IEEE Int. Conf. Image Processing, 2012.

#155: I. Ersoy, F. Bunyak, K. Palaniappan, and J. Peng

HEp-2 Cell Classification in IIF Images Using ShareBoost

Int. Conf. Pattern Recognition, 2012

cell detection, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Ersoy:ICPR-2012-hep2,
  author = "I. Ersoy and F. Bunyak and K. Palaniappan and J. Peng",
  title = "HEp-2 Cell Classification in IIF Images Using ShareBoost",
  year = 2012,
  booktitle = "Int. Conf. Pattern Recognition",
  keywords = "cell detection, cell classification, features, texture, machine learning, data mining, biomedical",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6460885"
}

I. Ersoy, F. Bunyak, K. Palaniappan, and J. Peng. HEp-2 Cell Classification in IIF Images Using ShareBoost. Int. Conf. Pattern Recognition, 2012.

#144: V. B. S. Prasath, F. Bunyak, P. Dale, S. R. Frazier, and K. Palaniappan

Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology

IEEE Healthcare Innovation Conference, 2012

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Surya:HIC-2012-histopath,
  author = "V. B. S. Prasath and F. Bunyak and P. Dale and S. R. Frazier and K. Palaniappan",
  title = "Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology",
  year = 2012,
  booktitle = "IEEE Healthcare Innovation Conference",
  keywords = "histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical"
}

V. B. S. Prasath, F. Bunyak, P. Dale, S. R. Frazier, and K. Palaniappan. Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology. IEEE Healthcare Innovation Conference, 2012.

#156: S. Candemir, S. Jaeger, K. Palaniappan, S. Antani, and G. Thoma

Graph cut based automatic lung boundary detection in chest radiographs

IEEE Healthcare Innovation Conference, 2012

registration, segmentation, graph methods, anatomical, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Sema:HIC-2012-lung-seg,
  author = "S. Candemir and S. Jaeger and K. Palaniappan and S. Antani and G. Thoma",
  title = "Graph cut based automatic lung boundary detection in chest radiographs",
  year = 2012,
  booktitle = "IEEE Healthcare Innovation Conference",
  keywords = "registration, segmentation, graph methods, anatomical, biomedical"
}

S. Candemir, S. Jaeger, K. Palaniappan, S. Antani, and G. Thoma. Graph cut based automatic lung boundary detection in chest radiographs. IEEE Healthcare Innovation Conference, 2012.

#134: F. Bunyak, A. Hafiane, and K. Palaniappan

Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets

Software Tools and Algorithms for Biological Systems, Springer, pgs. 413--424, 2011

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@incollection{Bunyak:histo-book-2011,
  author = "F. Bunyak and A. Hafiane and K. Palaniappan",
  title = "Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets",
  year = 2011,
  booktitle = "Software Tools and Algorithms for Biological Systems",
  publisher = "Springer",
  pages = "413--424",
  keywords = "histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical",
  doi = "10.1007/978-1-4419-7046-6_41",
  url = "http://link.springer.com/chapter/10.1007/978-1-4419-7046-6_41"
}

F. Bunyak, A. Hafiane, and K. Palaniappan. Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets. Software Tools and Algorithms for Biological Systems, Springer, pages 413--424, 2011.

#116: S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso

Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features

7th Indian Conference on Computer Vision, Graphics and Image Processing, 2010

cell detection, cell segmentation, cell classification, cell tracking, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Jaeger:ICVGIP-2010,
  author = "S. Jaeger and K. Palaniappan and C. S. Casas-Delucchi and M. C. Cardoso",
  title = "Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features",
  year = 2010,
  booktitle = "7th Indian Conference on Computer Vision, Graphics and Image Processing",
  keywords = "cell detection, cell segmentation, cell classification, cell tracking, features, texture, machine learning, data mining, biomedical",
  doi = "10.1145/1924559.1924614",
  url = "http://dl.acm.org/citation.cfm?id=1924614"
}

S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso. Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features. 7th Indian Conference on Computer Vision, Graphics and Image Processing, 2010.

#115: S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso

Dual channel colocalization for cell cycle analysis using 3D confocal microscopy

IEEE Int. Conf. Pattern Recognition, 2010

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Jaeger:ICPR-2010,
  author = "S. Jaeger and K. Palaniappan and C. S. Casas-Delucchi and M. C. Cardoso",
  title = "Dual channel colocalization for cell cycle analysis using 3D confocal microscopy",
  year = 2010,
  booktitle = "IEEE Int. Conf. Pattern Recognition",
  keywords = "cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical",
  doi = "10.1109/ICPR.2010.632",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5595781"
}

S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso. Dual channel colocalization for cell cycle analysis using 3D confocal microscopy. IEEE Int. Conf. Pattern Recognition, 2010.

#103: F. Bunyak, K. Palaniappan, V. Chagin, and M. C. Cardoso

Cell segmentation in time-lapse fluorescence microscopy with temporally varying sub-cellular fusion protein patterns

31st IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 1--5, 2009

cell detection, cell segmentation, cell tracking, features, texture, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Bunyak:EMBC-2009,
  author = "F. Bunyak and K. Palaniappan and V. Chagin and M. C. Cardoso",
  title = "Cell segmentation in time-lapse fluorescence microscopy with temporally varying sub-cellular fusion protein patterns",
  year = 2009,
  booktitle = "31st IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "1--5",
  keywords = "cell detection, cell segmentation, cell tracking, features, texture, biomedical",
  doi = "10.1109/IEMBS.2009.5334168",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5334168"
}

F. Bunyak, K. Palaniappan, V. Chagin, and M. C. Cardoso. Cell segmentation in time-lapse fluorescence microscopy with temporally varying sub-cellular fusion protein patterns. 31st IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 1--5, 2009.

#89: I. Ersoy, F. Bunyak, V. Chagin, M. C. Cardoso, and K. Palaniappan

Segmentation and classification of cell cycle phases in fluorescence imaging

Lecture Notes in Computer Science (MICCAI), Volume 5762, pgs. 617--624, 2009

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar

@article{Ersoy:MICCAI-2009,
  author = "I. Ersoy and F. Bunyak and V. Chagin and M. C. Cardoso and K. Palaniappan",
  title = "Segmentation and classification of cell cycle phases in fluorescence imaging",
  year = 2009,
  journal = "Lecture Notes in Computer Science (MICCAI)",
  volume = 5762,
  pages = "617--624",
  keywords = "cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical",
  doi = "10.1007/978-3-642-04271-3_75",
  url = "http://www.ncbi.nlm.nih.gov/pubmed/20426163"
}

I. Ersoy, F. Bunyak, V. Chagin, M. C. Cardoso, and K. Palaniappan. Segmentation and classification of cell cycle phases in fluorescence imaging. Lecture Notes in Computer Science (MICCAI), volume 5762, pages 617--624, 2009.

#92: K. Palaniappan, F. Bunyak, S. Nath, and J. Goffeney

Parallel processing strategies for cell motility and shape analysis

High-Throughput Image Reconstruction and Analysis, Artech House Publishers, pgs. 39--85, 2009

parallelization, gpu, cell detection, cell segmentation, cell tracking, machine learning, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inbook{Palani:Raobook-2009,
  author = "K. Palaniappan and F. Bunyak and S. Nath and J. Goffeney",
  title = "Parallel processing strategies for cell motility and shape analysis",
  year = 2009,
  booktitle = "High-Throughput Image Reconstruction and Analysis",
  publisher = "Artech House Publishers",
  pages = "39--85",
  keywords = "parallelization, gpu, cell detection, cell segmentation, cell tracking, machine learning, biomedical"
}

K. Palaniappan, F. Bunyak, S. Nath, and J. Goffeney. Parallel processing strategies for cell motility and shape analysis. High-Throughput Image Reconstruction and Analysis, Artech House Publishers, pages 39--85, 2009.

#87: A. Mosig, S. Jaeger, W. Chaofeng, I. Ersoy, S. K. Nath, K. Palaniappan, and S. Chen

Tracking cells in live cell imaging videos using topological alignments

Algorithms in Molecular Biology, Volume 4, pgs. 10p, 2009

cell detection, cell segmentation, cell tracking, features, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{AxelMosig:topoalign-2009,
  author = "A. Mosig and S. Jaeger and W. Chaofeng and I. Ersoy and S. K. Nath and K. Palaniappan and S. Chen",
  title = "Tracking cells in live cell imaging videos using topological alignments",
  year = 2009,
  journal = "Algorithms in Molecular Biology",
  volume = 4,
  pages = "10p",
  keywords = "cell detection, cell segmentation, cell tracking, features, biomedical",
  doi = "10.1186/1748-7188-4-10",
  url = "http://www.almob.org/content/4/1/10"
}

A. Mosig, S. Jaeger, W. Chaofeng, I. Ersoy, S. K. Nath, K. Palaniappan, and S. Chen. Tracking cells in live cell imaging videos using topological alignments. Algorithms in Molecular Biology, volume 4, pages 10p, 2009.

#101: A. Hafiane, F. Bunyak, and K. Palaniappan

Evaluation of level set-based histology image segmentation using geometric region criteria

IEEE Int. Symposium on Biomedical Imaging (ISBI), 2009

histopathology, active contours, classification, segmentation, features, texture, biomedical

Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Hafiane:ISBI-2009,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Evaluation of level set-based histology image segmentation using geometric region criteria",
  year = 2009,
  booktitle = "IEEE Int. Symposium on Biomedical Imaging (ISBI)",
  keywords = "histopathology, active contours, classification, segmentation, features, texture, biomedical",
  doi = "10.1109/ISBI.2009.5192968",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5192968"
}

#83: I. Ersoy, F. Bunyak, M. A. Mackey, and K. Palaniappan

Cell segmentation using Hessian-based detection and contour evolution with directional derivatives

IEEE Int. Conf. Image Processing, pgs. 1804--1807, 2008

cell segmentation, cell detection, active contours, features, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Ersoy:ICIP-2008,
  author = "I. Ersoy and F. Bunyak and M. A. Mackey and K. Palaniappan",
  title = "Cell segmentation using Hessian-based detection and contour evolution with directional derivatives",
  year = 2008,
  booktitle = "IEEE Int. Conf. Image Processing",
  pages = "1804--1807",
  keywords = "cell segmentation, cell detection, active contours, features, biomedical",
  doi = "10.1109/ICIP.2008.4712127",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4712127"
}

I. Ersoy, F. Bunyak, M. A. Mackey, and K. Palaniappan. Cell segmentation using Hessian-based detection and contour evolution with directional derivatives. IEEE Int. Conf. Image Processing, pages 1804--1807, 2008.

#77: A. Hafiane, F. Bunyak, and K. Palaniappan

Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection

Lecture Notes in Computer Science (ACIVS), Volume 5259, pgs. 903--914, 2008

histopathology, active contours, classification, segmentation, features, texture, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Hafiane:ACIVS-2008,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection",
  year = 2008,
  journal = "Lecture Notes in Computer Science (ACIVS)",
  volume = 5259,
  pages = "903--914",
  keywords = "histopathology, active contours, classification, segmentation, features, texture, biomedical",
  doi = "10.1007/978-3-540-88458-3_82",
  url = "http://link.springer.com/chapter/10.1007%2F978-3-540-88458-3_82"
}

A. Hafiane, F. Bunyak, and K. Palaniappan. Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection. Lecture Notes in Computer Science (ACIVS), volume 5259, pages 903--914, 2008.

#82: I. Ersoy, F. Bunyak, K. Palaniappan, M. Sun, and G. Forgacs

Cell spreading analysis with directed edge profile-guided level set active contours

Lecture Notes in Computer Science (MICCAI), Volume 5241, pgs. 376--383, 2008

cell segmentation, active contours, high content, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar

@article{Ersoy:MICCAI-2008,
  author = "I. Ersoy and F. Bunyak and K. Palaniappan and M. Sun and G. Forgacs",
  title = "Cell spreading analysis with directed edge profile-guided level set active contours",
  year = 2008,
  journal = "Lecture Notes in Computer Science (MICCAI)",
  volume = 5241,
  pages = "376--383",
  keywords = "cell segmentation, active contours, high content, biomedical",
  doi = "10.1007/978-3-540-85988-8_45",
  url = "http://www.ncbi.nlm.nih.gov/pubmed/18979769"
}

I. Ersoy, F. Bunyak, K. Palaniappan, M. Sun, and G. Forgacs. Cell spreading analysis with directed edge profile-guided level set active contours. Lecture Notes in Computer Science (MICCAI), volume 5241, pages 376--383, 2008.

#81: A. Hafiane, F. Bunyak, and K. Palaniappan

Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation

IEEE Int. Conf. Pattern Recognition, pgs. Online, 2008

histopathology, active contours, classification, segmentation, features, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Hafiane:ICPR-2008,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation",
  year = 2008,
  booktitle = "IEEE Int. Conf. Pattern Recognition",
  pages = "Online",
  keywords = "histopathology, active contours, classification, segmentation, features, biomedical",
  doi = "10.1109/ICPR.2008.4761744",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4761744"
}

A. Hafiane, F. Bunyak, and K. Palaniappan. Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation. IEEE Int. Conf. Pattern Recognition, pages Online, 2008.

#78: F. Bunyak, K. Palaniappan, O. Glinskii, V. Glinskii, V. Glinsky, and V. Huxley

Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution

30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 3134--3137, 2008

segmentation, image enhancement, active contours, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Bunyak:EMBC-2008,
  author = "F. Bunyak and K. Palaniappan and O. Glinskii and V. Glinskii and V. Glinsky and V. Huxley",
  title = "Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution",
  year = 2008,
  booktitle = "30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "3134--3137",
  keywords = "segmentation, image enhancement, active contours, vasculature, biomedical",
  doi = "10.1109/IEMBS.2008.4649868",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4649868"
}

F. Bunyak, K. Palaniappan, O. Glinskii, V. Glinskii, V. Glinsky, and V. Huxley. Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution. 30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 3134--3137, 2008.

#75: A. Hafiane, F. Bunyak, and K. Palaniappan

Level-set-based histology image segmentation with region-based comparison

MICCAI Workshop MIAAB, pgs. Online, 2008

histopathology, active contours, classification, features, texture, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Hafiane:MIAAB-2008,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Level-set-based histology image segmentation with region-based comparison",
  year = 2008,
  booktitle = "MICCAI Workshop MIAAB",
  pages = "Online",
  keywords = "histopathology, active contours, classification, features, texture, data mining, biomedical",
  doi = "10.1007/978-3-540-88458-3_82",
  url = "http://link.springer.com/chapter/10.1007%2F978-3-540-88458-3_82"
}

A. Hafiane, F. Bunyak, and K. Palaniappan. Level-set-based histology image segmentation with region-based comparison. MICCAI Workshop MIAAB, pages Online, 2008.

#74: I. Ersoy and K. Palaniappan

Multi-feature contour evolution for automatic live cell segmentation in time lapse imagery

30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 371--374, 2008

cell segmentation, active contours, cell tracking, high content, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar

@inproceedings{Ersoy:EMBC-2008,
  author = "I. Ersoy and K. Palaniappan",
  title = "Multi-feature contour evolution for automatic live cell segmentation in time lapse imagery",
  year = 2008,
  booktitle = "30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "371--374",
  keywords = "cell segmentation, active contours, cell tracking, high content, biomedical",
  doi = "10.1109/IEMBS.2008.4649167",
  url = "http://www.ncbi.nlm.nih.gov/pubmed/19162670"
}

I. Ersoy and K. Palaniappan. Multi-feature contour evolution for automatic live cell segmentation in time lapse imagery. 30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 371--374, 2008.

#60: F. Bunyak, K. Palaniappan, S. K. Nath, T. I. Baskin, and G. Dong

Quantitative cell motility for in vitro wound healing using level set-based active contour tracking

IEEE Int. Symposium on Biomedical Imaging (ISBI), pgs. 1040--1043, 2006

cell detection, cell segmentation, active contours, cell tracking, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@incollection{Bunyak:ISBI-2006,
  author = "F. Bunyak and K. Palaniappan and S. K. Nath and T. I. Baskin and G. Dong",
  title = "Quantitative cell motility for in vitro wound healing using level set-based active contour tracking",
  year = 2006,
  booktitle = "IEEE Int. Symposium on Biomedical Imaging (ISBI)",
  pages = "1040--1043",
  month = "Apr",
  keywords = "cell detection, cell segmentation, active contours, cell tracking, biomedical",
  doi = "10.1109/ISBI.2006.1625099"
}

F. Bunyak, K. Palaniappan, S. K. Nath, T. I. Baskin, and G. Dong. Quantitative cell motility for in vitro wound healing using level set-based active contour tracking. IEEE Int. Symposium on Biomedical Imaging (ISBI), pages 1040--1043, April 2006.

#59: S. K. Nath, F. Bunyak, and K. Palaniappan

Robust tracking of migrating cells using four-color level set segmentation

Lecture Notes in Computer Science (ACIVS), Volume 4179, pgs. 920--932, 2006

cell detection, cell segmentation, active contours, cell tracking, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Nath:ACIVS-2006,
  author = "S. K. Nath and F. Bunyak and K. Palaniappan",
  title = "Robust tracking of migrating cells using four-color level set segmentation",
  year = 2006,
  journal = "Lecture Notes in Computer Science (ACIVS)",
  publisher = "Springer-Verlag",
  volume = 4179,
  pages = "920--932",
  keywords = "cell detection, cell segmentation, active contours, cell tracking, biomedical",
  doi = "10.1007/11864349_84"
}

S. K. Nath, F. Bunyak, and K. Palaniappan. Robust tracking of migrating cells using four-color level set segmentation. Lecture Notes in Computer Science (ACIVS), Springer-Verlag, volume 4179, pages 920--932, 2006.

#64: S. K. Nath, K. Palaniappan, and F. Bunyak

Cell segmentation using coupled level sets and graph-vertex coloring

Lecture Notes in Computer Science (MICCAI), Volume 4190, pgs. 101--108, 2006

cell detection, cell segmentation, active contours, cell tracking, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Nath:MICCAI-2006,
  author = "S. K. Nath and K. Palaniappan and F. Bunyak",
  title = "Cell segmentation using coupled level sets and graph-vertex coloring",
  year = 2006,
  journal = "Lecture Notes in Computer Science (MICCAI)",
  volume = 4190,
  pages = "101--108",
  keywords = "cell detection, cell segmentation, active contours, cell tracking, biomedical",
  doi = "10.1007/11866565_13"
}

S. K. Nath, K. Palaniappan, and F. Bunyak. Cell segmentation using coupled level sets and graph-vertex coloring. Lecture Notes in Computer Science (MICCAI), volume 4190, pages 101--108, 2006.

#61: G. Dong, T. I. Baskin, and K. Palaniappan

Motion flow estimation from image sequences with applications to biological growth and motility

IEEE Int. Conf. Image Processing, pgs. 1245--1248, 2006

cell detection, cell segmentation, active contours, cell tracking, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{GDong:ICIP-2006,
  author = "G. Dong and T. I. Baskin and K. Palaniappan",
  title = "Motion flow estimation from image sequences with applications to biological growth and motility",
  year = 2006,
  booktitle = "IEEE Int. Conf. Image Processing",
  pages = "1245--1248",
  keywords = "cell detection, cell segmentation, active contours, cell tracking, biomedical",
  doi = "10.1109/ICIP.2006.312551"
}

G. Dong, T. I. Baskin, and K. Palaniappan. Motion flow estimation from image sequences with applications to biological growth and motility. IEEE Int. Conf. Image Processing, pages 1245--1248, 2006.

#51: K. Palaniappan, H. S. Jiang, and T. I. Baskin

Non-rigid motion estimation using the robust tensor method

IEEE CVPR Workshop on Articulated and Nonrigid Motion, Volume 1, pgs. 25--33, 2004

detection, segmentation, features, tracking, convex relaxation, plants, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Palani:CVPRW-2004,
  author = "K. Palaniappan and H. S. Jiang and T. I. Baskin",
  title = "Non-rigid motion estimation using the robust tensor method",
  year = 2004,
  booktitle = "IEEE CVPR Workshop on Articulated and Nonrigid Motion",
  volume = 1,
  pages = "25--33",
  keywords = "detection, segmentation, features, tracking, convex relaxation, plants, biomedical",
  doi = "10.1109/CVPR.2004.405",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1384814"
}

K. Palaniappan, H. S. Jiang, and T. I. Baskin. Non-rigid motion estimation using the robust tensor method. IEEE CVPR Workshop on Articulated and Nonrigid Motion, volume 1, pages 25--33, 2004.

#48: C. Weele, H. Jiang, K. K. Palaniappan, V. B. Ivanov, K. Palaniappan, and T. I. Baskin

A new algorithm for computational image analysis of deformable motion at high spatial and temporal resolution applied to root growth: Roughly uniform elongation in the meristem and also, after an abrupt acceleration, in the elongation zone

Plant Physiology, Volume 132, pgs. 1138--1148, 2003

detection, segmentation, features, tracking, plants, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Baskin:PlantPhys-2003-long,
  author = "C. Weele and H. Jiang and K. K. Palaniappan and V. B. Ivanov and K. Palaniappan and T. I. Baskin",
  title = "A new algorithm for computational image analysis of deformable motion at high spatial and temporal resolution applied to root growth: Roughly uniform elongation in the meristem and also, after an abrupt acceleration, in the elongation zone",
  year = 2003,
  journal = "Plant Physiology",
  volume = 132,
  number = 3,
  pages = "1138--1148",
  month = "Jul",
  keywords = "detection, segmentation, features, tracking, plants, biomedical",
  doi = "10.1104/pp.103.021345",
  url = "http://www.plantphysiol.org/content/132/3/1138"
}

C. Weele, H. Jiang, K. K. Palaniappan, V. B. Ivanov, K. Palaniappan, and T. I. Baskin. A new algorithm for computational image analysis of deformable motion at high spatial and temporal resolution applied to root growth: Roughly uniform elongation in the meristem and also, after an abrupt acceleration, in the elongation zone. Plant Physiology, volume 132, issue 3, pages 1138--1148, July 2003.

#49: H. S. Jiang, K. Palaniappan, and T. I. Baskin

A combined matching and tensor method to obtain high fidelity velocity fields from image sequences of the non-rigid motion of the growth of a plant root

IASTED Int. Conf. on Biomedical Engineering, pgs. 159--165, 2003

detection, segmentation, features, tracking, convex relaxation, plants, biomedical

Abstract, Bibtex, PlainText, URL, Google Scholar

@inproceedings{Jiang:BioMed-2003,
  author = "H. S. Jiang and K. Palaniappan and T. I. Baskin",
  title = "A combined matching and tensor method to obtain high fidelity velocity fields from image sequences of the non-rigid motion of the growth of a plant root",
  year = 2003,
  booktitle = "IASTED Int. Conf. on Biomedical Engineering",
  pages = "159--165",
  keywords = "detection, segmentation, features, tracking, convex relaxation, plants, biomedical",
  url = "http://www.actapress.com/PaperInfo.aspx?paperId=13363"
}

H. S. Jiang, K. Palaniappan, and T. I. Baskin. A combined matching and tensor method to obtain high fidelity velocity fields from image sequences of the non-rigid motion of the growth of a plant root. IASTED Int. Conf. on Biomedical Engineering, pages 159--165, 2003.

#29: J. Vass, K. Palaniappan, and X. Zhuang

Three dimensional wavelet coding of volumetric imagery

J. Robotics and Automation, Volume 15, pgs. 34--47, 2000

image enhancement, image compression, image analysis, visualization, biomedical

Bibtex, PlainText, Google Scholar

@article{Vass:JRobotics-2000,
  author = "J. Vass and K. Palaniappan and X. Zhuang",
  title = "Three dimensional wavelet coding of volumetric imagery",
  year = 2000,
  journal = "J. Robotics and Automation",
  volume = 15,
  number = 1,
  pages = "34--47",
  keywords = "image enhancement, image compression, image analysis, visualization, biomedical"
}

#26: J. Vass, J. Yao, K. Palaniappan, and X. Zhuang

Three dimensional wavelet coding of magnetic resonance images

IASTED Computer Graphics and Imaging, pgs. 128--133, 1999

image compression, image analysis, video coding, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Vass:3D-wavelet-CGIM-1998,
  author = "J. Vass and J. Yao and K. Palaniappan and X. Zhuang",
  title = "Three dimensional wavelet coding of magnetic resonance images",
  year = 1999,
  booktitle = "IASTED Computer Graphics and Imaging",
  pages = "128--133",
  keywords = "image compression, image analysis, video coding, biomedical"
}

J. Vass, J. Yao, K. Palaniappan, and X. Zhuang. Three dimensional wavelet coding of magnetic resonance images. IASTED Computer Graphics and Imaging, pages 128--133, 1999.

#5: K. Palaniappan, T. S. Huang, and H. Lee

Comparison of image matching criteria for obtaining projections

IEEE Int. Conf. Image Processing, pgs. 112--117, 1989

segmentation, features, image analysis, biomedical

Bibtex, PlainText, Google Scholar

@inproceedings{Palani:ICIP-1989,
  author = "K. Palaniappan and T. S. Huang and H. Lee",
  title = "Comparison of image matching criteria for obtaining projections",
  year = 1989,
  booktitle = "IEEE Int. Conf. Image Processing",
  pages = "112--117",
  keywords = "segmentation, features, image analysis, biomedical"
}

#6: K. Palaniappan, T. S. Huang, and H. Lee

Automated reading of DNA autoradiogram images using lane profiling methods

IEEE Int. Workshop on Industrial Applications of Machine Intelligence and Vision, pgs. 360--367, 1989

segmentation, features, image analysis, bioinformatics, biomedical

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Palani:readingDNA-1989,
  author = "K. Palaniappan and T. S. Huang and H. Lee",
  title = "Automated reading of DNA autoradiogram images using lane profiling methods",
  year = 1989,
  booktitle = "IEEE Int. Workshop on Industrial Applications of Machine Intelligence and Vision",
  pages = "360--367",
  keywords = "segmentation, features, image analysis, bioinformatics, biomedical",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=40578"
}

K. Palaniappan, T. S. Huang, and H. Lee. Automated reading of DNA autoradiogram images using lane profiling methods. IEEE Int. Workshop on Industrial Applications of Machine Intelligence and Vision, pages 360--367, 1989.

#4: K. Palaniappan and T. S. Huang

Image analysis for DNA sequencing

SPIE Proceedings on Biomedical Image Processing II, Volume 1450, pgs. 186--197, 1989

segmentation, features, image analysis, bioinformatics, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Palani:SPIE-1989,
  author = "K. Palaniappan and T. S. Huang",
  title = "Image analysis for DNA sequencing",
  year = 1989,
  booktitle = "SPIE Proceedings on Biomedical Image Processing II",
  volume = 1450,
  pages = "186--197",
  keywords = "segmentation, features, image analysis, bioinformatics, biomedical",
  doi = "10.1117/12.44310",
  url = "http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=960882"
}

K. Palaniappan and T. S. Huang. Image analysis for DNA sequencing. SPIE Proceedings on Biomedical Image Processing II, volume 1450, pages 186--197, 1989.

56 publications with the keyword "biomedical"

jaw movement, food intake, behavior, neuronal migration, axon guidance, zebrafish, neural circuits, facial branchiomotor neuron, fusion, biomedical

normalize cross correlation, gradient blending, mosaicing, registration, biomedical, mesentery

deep learning, segmentation, vasculature, biomedical

deep learning, malaira, cells, classification, biomedical

hep-2 cell classification, cell segmentation, texture features, motif patterns, random forests, segmentation, biomedical

random forest, segmentation, vasculature, confocal, biomedical

cell migration, biomedical

interactive, segmentation, vasculature, biomedical

random forest, segmentation, vasculature, biomedical

visualization, big data, biomedical, histopathology

biomedical, histopathology, segmentation, classification

biomedical, cell tracking, microscopy

anisotropic diffusion, denoising, vasculature, biomedical

segmentation, active contours, globally convex, biomedical

biomedical, image analysis

biomedical, vascular

multifocus, image fusion, vasculature, biomedical

segmentation, graph methods, chest x-ray, cbir, registration, biomedical

classification, features, machine learning, data mining, biomedical

segmentation, graph methods, chest x-ray, machine learning, biomedical

segmentation, image enhancement, vasculature, biomedical

cell segmentation, active contours, high content, biomedical

visualization, big data, wami, tracking, fmv, features, motion, dod, biomedical

cell detection, cell segmentation, cell tracking, active contours, red blood cells, biomedical

cell segmentation, level set active contours, red blood cells, cell tracking, biomedical

cell detection, cell tracking, particle filters, image enhancement, biomedical

cell detection, cell classification, features, texture, machine learning, data mining, biomedical

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

registration, segmentation, graph methods, anatomical, biomedical

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

cell detection, cell segmentation, cell classification, cell tracking, features, texture, machine learning, data mining, biomedical

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

cell detection, cell segmentation, cell tracking, features, texture, biomedical

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

parallelization, gpu, cell detection, cell segmentation, cell tracking, machine learning, biomedical

cell detection, cell segmentation, cell tracking, features, biomedical

histopathology, active contours, classification, segmentation, features, texture, biomedical

cell segmentation, cell detection, active contours, features, biomedical

histopathology, active contours, classification, segmentation, features, texture, biomedical

cell segmentation, active contours, high content, biomedical

histopathology, active contours, classification, segmentation, features, biomedical

segmentation, image enhancement, active contours, vasculature, biomedical

histopathology, active contours, classification, features, texture, data mining, biomedical

cell segmentation, active contours, cell tracking, high content, biomedical

cell detection, cell segmentation, active contours, cell tracking, biomedical

cell detection, cell segmentation, active contours, cell tracking, biomedical

cell detection, cell segmentation, active contours, cell tracking, biomedical

cell detection, cell segmentation, active contours, cell tracking, biomedical

detection, segmentation, features, tracking, convex relaxation, plants, biomedical

detection, segmentation, features, tracking, plants, biomedical

detection, segmentation, features, tracking, convex relaxation, plants, biomedical

image enhancement, image compression, image analysis, visualization, biomedical

image compression, image analysis, video coding, biomedical

segmentation, features, image analysis, biomedical

segmentation, features, image analysis, bioinformatics, biomedical

segmentation, features, image analysis, bioinformatics, biomedical