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

V. Prasath, Y. Kassim, Z. Oraibi, J. Guiriec, A. Hafiane, G. Seetharaman, and K. Palaniappan. ICPR, page 90-95. IEEE, (2016)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

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)Multiquadric spline-based interactive segmentation of vascular networks.S. Meena, V. Prasath, Y. Kassim, R. Maude, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. EMBC, page 5913-5916. IEEE, (2016)Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears.Y. Kassim, K. Palaniappan, F. Yang, M. Poostchi, N. Palaniappan, R. Maude, S. Antani, and S. Jäger. IEEE J. Biomed. Health Informatics, 25 (5): 1735-1746 (2021)Dissecting branchiomotor neuron circuits in zebrafish - toward high-throughput automated analysis of jaw movements.Y. Kassim, N. Al-Shakarji, E. Asante, A. Chandrasekhar, and K. Palaniappan. ISBI, page 943-947. IEEE, (2018)

BibSonomy

Disambiguation of "Kassim, Yasmin M."

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

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