Confocal vessel structure segmentation with optimized feature bank and random forests. - Yasmin M. Kassim; V. B. Surya Prasath; Olga V. Glinskii; Vladislav V. Glinsky; Virginia H. Huxley; Kannappan Palaniappan (AIPR, 2016)

Random forests for dura mater microvasculature segmentation using epifluorescence images. - Yasmin M. Kassim; V. B. Surya Prasath; Rengarajan Pelapur; Olga V. Glinskii; Richard James Maude; Vladislav V. Glinsky; Virginia H. Huxley; Kannappan Palaniappan (EMBC, 2016)

Multiquadric spline-based interactive segmentation of vascular networks. - Sachin Meena; V. B. Surya Prasath; Yasmin M. Kassim; Richard James Maude; Olga V. Glinskii; Vladislav V. Glinsky; Virginia H. Huxley; Kannappan Palaniappan (EMBC, 2016)

HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests. - V. B. Surya Prasath; Yasmin M. Kassim; Zakariya A. Oraibi; Jean-Baptiste Guiriec; Adel Hafiane; Guna Seetharaman; Kannappan Palaniappan (ICPR, 2016)

Unsupervised Learning Method for Plant and Leaf Segmentation. - Noor M. Al-Shakarji; Yasmin M. Kassim; Kannappan Palaniappan (AIPR, 2017)

Extracting retinal vascular networks using deep learning architecture. - Yasmin M. Kassim; Kannappan Palaniappan (BIBM, 2017)

Microvasculature segmentation of arterioles using deep CNN. - Yasmin M. Kassim; V. B. Surya Prasath; Olga V. Glinskii; Vladislav V. Glinsky; Virginia H. Huxley; Kannappan Palaniappan (ICIP, 2017)

Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery. - Yasmin M. Kassim; Olga V. Glinskii; Vladislav V. Glinsky; Virginia H. Huxley; Kannappan Palaniappan (AIPR, 2018)

Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction. - Yasmin M. Kassim; Richard James Maude; Kannappan Palaniappan (EMBC, 2018)

Dissecting branchiomotor neuron circuits in zebrafish - toward high-throughput automated analysis of jaw movements. - Yasmin M. Kassim; Noor M. Al-Shakarji; Emilia Asante; Anand Chandrasekhar; Kannappan Palaniappan (ISBI, 2018)

Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation. - Yasmin M. Kassim; Olga V. Glinskii; Vladislav V. Glinsky; Virginia H. Huxley; Giovanna Guidoboni; Kannappan Palaniappan (ICIP, 2019)

A Cell Augmentation Tool for Blood Smear Analysis. - Yasmin M. Kassim; Stefan Jaeger 001 (AIPR, 2020)

Small Object Bird Detection in Infrared Drone Videos Using Mask R-CNN Deep Learning. - Yasmin M. Kassim; Michael E. Byrne; Cristy Burch; Kevin Mote; Jason Hardin; David R. Larsen; Kannappan Palaniappan (IMAWM, 2020)

Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map. - Md Maruf Hossain Shuvo; Yasmin M. Kassim; Filiz Bunyak; Olga V. Glinskii; Leike Xie; Vladislav V. Glinsky; Virginia H. Huxley; Mahesh M. Thakkar; Kannappan Palaniappan (ICPR, 2020)

Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis. - Deniz Kavzak Ufuktepe; Feng Yang 010; Yasmin M. Kassim; Hang Yu; Richard James Maude; Kannappan Palaniappan; Stefan Jaeger 001 (AIPR, 2021)

Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies. - Manohar Karki; Karthik Kantipudi; Hang Yu; Feng Yang 010; Yasmin M. Kassim; Ziv Yaniv; Stefan Jäger 001 (EMBC, 2021)

Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. - Yasmin M. Kassim; Kannappan Palaniappan; Feng Yang 010; Mahdieh Poostchi; Nila Palaniappan; Richard James Maude; Sameer K. Antani; Stefan Jäger 001 (IEEE J. Biomed. Health Informatics, 2021)