Yasmin M. Kassim

According to our database, Yasmin M. Kassim authored at least 17 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears.

Yasmin M. Kassim, Kannappan Palaniappan, Feng Yang, Mahdieh Poostchi, Nila Palaniappan, Richard James Maude, Sameer K. Antani, Stefan Jäger

IEEE J. Biomed. Health Informatics, 2021

Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies.

Manohar Karki, Karthik Kantipudi, Hang Yu, Feng Yang, Yasmin M. Kassim, Ziv Yaniv, Stefan Jäger

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis.

Deniz Kavzak Ufuktepe, Feng Yang, Yasmin M. Kassim, Hang Yu, Richard James Maude, Kannappan Palaniappan, Stefan Jaeger

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

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

Proceedings of the 25th International Conference on Pattern Recognition, 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

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2020, 2020

A Cell Augmentation Tool for Blood Smear Analysis.

Yasmin M. Kassim, Stefan Jaeger

Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2019

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

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

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

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction.

Yasmin M. Kassim, Richard James Maude, Kannappan Palaniappan

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

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

Proceedings of the 47th IEEE Applied Imagery Pattern Recognition Workshop, 2018

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

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Extracting retinal vascular networks using deep learning architecture.

Yasmin M. Kassim, Kannappan Palaniappan

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Unsupervised Learning Method for Plant and Leaf Segmentation.

Noor M. Al-Shakarji, Yasmin M. Kassim, Kannappan Palaniappan

Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017

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

Proceedings of the 23rd International Conference on Pattern Recognition, 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

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

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

Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016