Computational Imaging & VisAnalysis

#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.

#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.

#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.

#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.

#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.

#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.

#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