Yasmin M. Kassim

17 papers B 4Journal 1Unranked 12

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. IEEE J. Biomed. Health Informatics Yasmin M. Kassim, Kannappan Palaniappan, Feng Yang, Mahdieh Poostchi, Nila Palaniappan, Richard James Maude, Sameer K. Antani, Stefan Jäger
2021	—	`conf`	Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis. AIPR Deniz Kavzak Ufuktepe, Feng Yang, Yasmin M. Kassim, Hang Yu, Richard James Maude, Kannappan Palaniappan, Stefan Jaeger
2021	—	`conf`	Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies. EMBC Manohar Karki, Karthik Kantipudi, Hang Yu, Feng Yang, Yasmin M. Kassim, Ziv Yaniv, Stefan Jäger
2020	—	`conf`	A Cell Augmentation Tool for Blood Smear Analysis. AIPR Yasmin M. Kassim, Stefan Jaeger
2020	B	`conf`	Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map. ICPR 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
2020	—	`conf`	Small Object Bird Detection in Infrared Drone Videos Using Mask R-CNN Deep Learning. IMAWM Yasmin M. Kassim, Michael E. Byrne, Cristy Burch, Kevin Mote, Jason Hardin, David R. Larsen, Kannappan Palaniappan
2019	B	`conf`	Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation. ICIP Yasmin M. Kassim, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Giovanna Guidoboni, Kannappan Palaniappan
2018	—	`conf`	Dissecting branchiomotor neuron circuits in zebrafish - toward high-throughput automated analysis of jaw movements. ISBI Yasmin M. Kassim, Noor M. Al-Shakarji, Emilia Asante, Anand Chandrasekhar, Kannappan Palaniappan
2018	—	`conf`	Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery. AIPR Yasmin M. Kassim, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
2018	—	`conf`	Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction. EMBC Yasmin M. Kassim, Richard James Maude, Kannappan Palaniappan
2017	—	`conf`	Extracting retinal vascular networks using deep learning architecture. BIBM Yasmin M. Kassim, Kannappan Palaniappan
2017	B	`conf`	Microvasculature segmentation of arterioles using deep CNN. ICIP Yasmin M. Kassim, V. B. Surya Prasath, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
2017	—	`conf`	Unsupervised Learning Method for Plant and Leaf Segmentation. AIPR Noor M. Al-Shakarji, Yasmin M. Kassim, Kannappan Palaniappan
2016	—	`conf`	Confocal vessel structure segmentation with optimized feature bank and random forests. AIPR Yasmin M. Kassim, V. B. Surya Prasath, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
2016	B	`conf`	HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests. ICPR V. B. Surya Prasath, Yasmin M. Kassim, Zakariya A. Oraibi, Jean-Baptiste Guiriec, Adel Hafiane, Guna Seetharaman, Kannappan Palaniappan
2016	—	`conf`	Multiquadric spline-based interactive segmentation of vascular networks. EMBC Sachin Meena, V. B. Surya Prasath, Yasmin M. Kassim, Richard James Maude, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
2016	—	`conf`	Random forests for dura mater microvasculature segmentation using epifluorescence images. EMBC Yasmin M. Kassim, V. B. Surya Prasath, Rengarajan Pelapur, Olga V. Glinskii, Richard James Maude, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan