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Confocal vessel structure segmentation with optimized feature bank and random forests.

Y. Kassim, V. Prasath, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. AIPR, page 1-6. IEEE Computer Society, (2016)

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Kassim Guruli

Nadja Kassim

Kassim Khalil

Mahmoud Kassim

Husain Kassim

Other publications of authors with the same name

Random forests for dura mater microvasculature segmentation using epifluorescence images.Y. Kassim, V. Prasath, R. Pelapur, O. Glinskii, R. Maude, V. Glinsky, V. Huxley, and K. Palaniappan. EMBC, page 2901-2904. IEEE, (2016)Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction.Y. Kassim, R. Maude, and K. Palaniappan. EMBC, page 2736-2739. IEEE, (2018)Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation.Y. Kassim, O. Glinskii, V. Glinsky, V. Huxley, G. Guidoboni, and K. Palaniappan. ICIP, page 1445-1449. IEEE, (2019)Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery.Y. Kassim, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. AIPR, page 1-5. IEEE, (2018)Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies.M. Karki, K. Kantipudi, H. Yu, F. Yang, Y. Kassim, Z. Yaniv, and S. Jäger. EMBC, page 2964-2967. IEEE, (2021)Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map.M. Shuvo, Y. Kassim, F. Bunyak, O. Glinskii, L. Xie, V. Glinsky, V. Huxley, M. Thakkar, and K. Palaniappan. ICPR, page 4317-4323. IEEE, (2020)Extracting retinal vascular networks using deep learning architecture.Y. Kassim, and K. Palaniappan. BIBM, page 1170-1174. IEEE Computer Society, (2017)Microvasculature segmentation of arterioles using deep CNN.Y. Kassim, V. Prasath, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. ICIP, page 580-584. IEEE, (2017)Unsupervised Learning Method for Plant and Leaf Segmentation.N. Al-Shakarji, Y. Kassim, and K. Palaniappan. AIPR, page 1-4. IEEE Computer Society, (2017)Confocal vessel structure segmentation with optimized feature bank and random forests.Y. Kassim, V. Prasath, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. AIPR, page 1-6. IEEE Computer Society, (2016)

BibSonomy

Disambiguation of "Kassim, Yasmin M."

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Confocal vessel structure segmentation with optimized feature bank and random forests.

Please choose a person to relate this publication to

Kassim Guruli

Nadja Kassim

Kassim Khalil

Mahmoud Kassim

Husain Kassim

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kassim, Yasmin M."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Confocal vessel structure segmentation with optimized feature bank and random forests.

Please choose a person to relate this publication to

Kassim Guruli

Nadja Kassim

Kassim Khalil

Mahmoud Kassim

Husain Kassim

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Confocal vessel structure segmentation with optimized feature bank and random forests.