Computational Imaging & VisAnalysis

#352: M. M. H. Shuvo, Y. M. Kassim, F. Bunyak, O. V. Glinskii, L. Xie, V. V. Glinsky, V. H. Huxley, M. M. Thakkar, and K. Palaniappan

Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map

International Conference on Pattern Recognition (ICPR), pgs. 4317-4323, 2021

Bibtex, PlainText, DOI, Google Scholar

@inproceedings{Shuvo:ICPR2021,
  author = "M. M. H. Shuvo and Y. M. Kassim and F. Bunyak and O. V. Glinskii and L. Xie and V. V. Glinsky and V. H. Huxley and M. M. Thakkar and K. Palaniappan",
  title = "Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map",
  year = 2021,
  booktitle = "International Conference on Pattern Recognition (ICPR)",
  pages = "4317-4323",
  doi = "10.1109/ICPR48806.2021.9412122"
}

#326: O. Glinskii, V. Huxley, L. Xie, F. Bunyak, K. Palaniappan, and V. Glinsky

Microvascular Pachymeningeal Lymphatic Structures: Association with Blood Vessels and Cranial Bones

The FASEB Journal, Volume 34, pgs. 1--1, 2020

Bibtex, PlainText, Google Scholar

@article{Glinskii:FASEB2020,
  author = "O. Glinskii and V. Huxley and L. Xie and F. Bunyak and K. Palaniappan and V. Glinsky",
  title = "Microvascular Pachymeningeal Lymphatic Structures: Association with Blood Vessels and Cranial Bones",
  year = 2020,
  journal = "The FASEB Journal",
  publisher = "Wiley Online Library",
  volume = 34,
  number = S1,
  pages = "1--1"
}

#323: 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

Bibtex, PlainText, DOI, Google Scholar

@inproceedings{Aktar:ICIP2020,
  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,
  booktitle = "IEEE International Conference on Image Processing (ICIP)",
  pages = "563-567",
  doi = "10.1109/ICIP40778.2020.9191045"
}

#312: R. Aktar, V. H. Huxley, G. Guidoboni, O. V. Glinskii, and K. Palaniappan

Interactive global mosaic stitching from mesentery video sequences

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-5, 2020

global mosaicing, registration, normalize cross correlation, fuse descriptor, mesentery

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

@inproceedings{9425109,
  author = "R. Aktar and V. H. Huxley and G. Guidoboni and O. V. Glinskii and K. Palaniappan",
  title = "Interactive global mosaic stitching from mesentery video sequences",
  year = 2020,
  booktitle = "IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
  pages = "1-5",
  keywords = "global mosaicing, registration, normalize cross correlation, fuse descriptor, mesentery",
  doi = "10.1109/AIPR50011.2020.9425109",
  url = "https://ieeexplore.ieee.org/abstract/document/9425109"
}

R. Aktar, V. H. Huxley, G. Guidoboni, O. V. Glinskii, and K. Palaniappan. Interactive global mosaic stitching from mesentery video sequences. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pages 1-5, 2020.

#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.

#307: O. V. Glinskii, V. H. Huxley, L. Xie, F. Bunyak, K. Palaniappan, and V. V. Glinsky

Complex non-sinus-associated pachymeningeal lymphatic structures: Interrelationship with blood microvasculature

Frontiers in physiology, Volume 10, pgs. 1-8, 2019

dura mater, lymphatics, vascular structures, microvessels, pachymeningeal

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

@article{2019a,
  author = "O. V. Glinskii and V. H. Huxley and L. Xie and F. Bunyak and K. Palaniappan and V. V. Glinsky",
  title = "Complex non-sinus-associated pachymeningeal lymphatic structures: Interrelationship with blood microvasculature",
  year = 2019,
  journal = "Frontiers in physiology",
  publisher = "Frontiers",
  volume = 10,
  pages = "1-8",
  month = "Oct",
  keywords = "dura mater, lymphatics, vascular structures, microvessels, pachymeningeal",
  doi = "10.3389/fphys.2019.01364",
  url = "https://scholar.google.com/scholar?hl=en&as_sdt=0%2C26&q=Complex+Non-sinus-associated+Pachymeningeal+Lymphatic+Structures%3A+Interrelationship+With+Blood+Microvasculature&btnG="
}

O. V. Glinskii, V. H. Huxley, L. Xie, F. Bunyak, K. Palaniappan, and V. V. Glinsky. Complex non-sinus-associated pachymeningeal lymphatic structures: Interrelationship with blood microvasculature. Frontiers in physiology, Frontiers, volume 10, pages 1-8, October 2019.

#306: Y. M. Kassim, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, G. Guidoboni, and K. Palaniappan

Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation

2019 IEEE International Conference on Image Processing (ICIP), pgs. 1445-1449, 2019

semantic vessel segmentation, deep learning, histogram equalization, random forests, u-net

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

@inproceedings{2019a,
  author = "Y. M. Kassim and O. V. Glinskii and V. V. Glinsky and V. H. Huxley and G. Guidoboni and K. Palaniappan",
  title = "Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation",
  year = 2019,
  journal = "2019 IEEE International Conference on Image Processing (ICIP)",
  publisher = "IEEE",
  pages = "1445-1449",
  month = "Aug",
  keywords = "semantic vessel segmentation, deep learning, histogram equalization, random forests, u-net",
  doi = "10.1109/ICIP.2019.8803084",
  url = "https://scholar.google.com/scholar?hl=en&as_sdt=0%2C26&q=Deep+U-Net+Regression+and+Hand-Crafted+Feature+Fusion+for+Accurate+Blood+Vessel+Segmentation&btnG="
}

Y. M. Kassim, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, G. Guidoboni, and K. Palaniappan. Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation. 2019 IEEE International Conference on Image Processing (ICIP), IEEE, pages 1445-1449, August 2019.

#279: Y. M. Kassim, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan

Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery

IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pgs. 1-5, 2018

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

@inproceedings{2018a,
  author = "Y. M. Kassim and O. V. Glinskii and V. V. Glinsky and V. H. Huxley and K. Palaniappan",
  title = "Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery",
  year = 2018,
  journal = "IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
  publisher = "IEEE",
  pages = "1-5",
  month = "Oct",
  doi = "10.1109/AIPR.2018.8707387",
  url = "https://scholar.google.com/scholar?hl=en&as_sdt=0%2C26&q=Patch-Based+Semantic+Segmentation+for+Detecting+Arterioles+and+Venules+in+Epifluorescence+Imagery&btnG="
}

Y. M. Kassim, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan. Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), IEEE, pages 1-5, October 2018.

#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

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.

16 Publications by "V. Huxley"

global mosaicing, registration, normalize cross correlation, fuse descriptor, mesentery

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

dura mater, lymphatics, vascular structures, microvessels, pachymeningeal

semantic vessel segmentation, deep learning, histogram equalization, random forests, u-net

deep learning, segmentation, vasculature, biomedical

random forest, segmentation, vasculature, confocal, biomedical

interactive, segmentation, vasculature, biomedical

random forest, segmentation, vasculature, biomedical

anisotropic diffusion, denoising, vasculature, biomedical

multifocus, image fusion, vasculature, biomedical

segmentation, image enhancement, vasculature, biomedical

segmentation, image enhancement, active contours, vasculature, biomedical