Yasmin M. Kassim

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 17

Top Topics

Interactive Segmentation

Vessel Segmentation

Top Venues

Publications

Manohar Karki, Karthik Kantipudi, Hang Yu, Feng Yang, Yasmin M. Kassim, Ziv Yaniv, Stefan Jäger
Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies. EMBC (2021)
Yasmin M. Kassim, Kannappan Palaniappan, Feng Yang, Mahdieh Poostchi, Nila Palaniappan, Richard James Maude, Sameer K. Antani, Stefan Jäger
Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. IEEE J. Biomed. Health Informatics 25 (5) (2021)
Deniz Kavzak Ufuktepe, Feng Yang, Yasmin M. Kassim, Hang Yu, Richard James Maude, Kannappan Palaniappan, Stefan Jaeger
Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis. AIPR (2021)
Yasmin M. Kassim, Michael E. Byrne, Cristy Burch, Kevin Mote, Jason Hardin, David R. Larsen, Kannappan Palaniappan
Small Object Bird Detection in Infrared Drone Videos Using Mask R-CNN Deep Learning. IMAWM (2020)
Yasmin M. Kassim, Stefan Jaeger
A Cell Augmentation Tool for Blood Smear Analysis. AIPR (2020)
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
Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map. ICPR (2020)
Yasmin M. Kassim, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Giovanna Guidoboni, Kannappan Palaniappan
Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation. ICIP (2019)
Yasmin M. Kassim, Richard James Maude, Kannappan Palaniappan
Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction. EMBC (2018)
Yasmin M. Kassim, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery. AIPR (2018)
Yasmin M. Kassim, Noor M. Al-Shakarji, Emilia Asante, Anand Chandrasekhar, Kannappan Palaniappan
Dissecting branchiomotor neuron circuits in zebrafish - toward high-throughput automated analysis of jaw movements. ISBI (2018)
Yasmin M. Kassim, V. B. Surya Prasath, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
Microvasculature segmentation of arterioles using deep CNN. ICIP (2017)
Noor M. Al-Shakarji, Yasmin M. Kassim, Kannappan Palaniappan
Unsupervised Learning Method for Plant and Leaf Segmentation. AIPR (2017)
Yasmin M. Kassim, Kannappan Palaniappan
Extracting retinal vascular networks using deep learning architecture. BIBM (2017)
Sachin Meena, V. B. Surya Prasath, Yasmin M. Kassim, Richard James Maude, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
Multiquadric spline-based interactive segmentation of vascular networks. EMBC (2016)
Yasmin M. Kassim, V. B. Surya Prasath, Rengarajan Pelapur, Olga V. Glinskii, Richard James Maude, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
Random forests for dura mater microvasculature segmentation using epifluorescence images. EMBC (2016)
Yasmin M. Kassim, V. B. Surya Prasath, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
Confocal vessel structure segmentation with optimized feature bank and random forests. AIPR (2016)
V. B. Surya Prasath, Yasmin M. Kassim, Zakariya A. Oraibi, Jean-Baptiste Guiriec, Adel Hafiane, Guna Seetharaman, Kannappan Palaniappan
HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests. ICPR (2016)