Shahira Abousamra

According to our database, Shahira Abousamra authored at least 23 papers between 2018 and 2024.

Collaborative distances:

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

2024

Spatial Diffusion for Cell Layout Generation.

Chen Li, Xiaoling Hu, Shahira Abousamra, Meilong Xu, Chao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hard Negative Sample Mining for Whole Slide Image Classification.

Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images.

Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel H. Saltz, Chao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency.

Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

Uncertainty Estimation for Tumor Prediction with Unlabeled Data.

Juyoung Yun, Shahira Abousamra, Chen Li, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Alison L. Van Dyke, Joel H. Saltz, Chao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

New Spatial Phenotypes from Imaging Uncover Survival Differences for Breast Cancer Patients.

Mahmudul Hasan, Ariadna Kim Silva, Shahira Abousamra, Shao-Jun Tang, Prateek Prasanna, Joel H. Saltz, Kevin Gardner, Chao Chen, Alisa Yurovsky

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification.

Jakub R. Kaczmarzyk, Rajarsi Gupta, Tahsin M. Kurç, Shahira Abousamra, Joel H. Saltz, Peter K. Koo

Comput. Methods Programs Biomed., September, 2023

TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised Segmentation of Histopathology Images.

Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen

CoRR, 2023

Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images.

Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R. Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth Shroyer, Joel H. Saltz, Chao Chen

Proceedings of the Medical Imaging with Deep Learning, 2023

Calibrating Uncertainty for Semi-Supervised Crowd Counting.

Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Topology-Guided Multi-Class Cell Context Generation for Digital Pathology.

Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Evaluating histopathology transfer learning with ChampKit.

Jakub R. Kaczmarzyk, Tahsin M. Kurç, Shahira Abousamra, Rajarsi Gupta, Joel H. Saltz, Peter K. Koo

CoRR, 2022

A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment.

Mahmudul Hasan, Jakub R. Kaczmarzyk, David Paredes, Lyanne Oblein, Jaymie Oentoro, Shahira Abousamra, Michael Horowitz, Dimitris Samaras, Chao Chen, Tahsin M. Kurç, Kenneth R. Shroyer, Joel H. Saltz

CoRR, 2022

Federated Learning for the Classification of Tumor Infiltrating Lymphocytes.

Ujjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas

CoRR, 2022

2021

Multi-Class Cell Detection Using Spatial Context Representation.

Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Localization in the Crowd with Topological Constraints.

Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images.

Shahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth Shroyer, Joel H. Saltz, Chao Chen

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types.

Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, Kenneth Shroyer, Joel H. Saltz

CoRR, 2019

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer.

Han Le, Rajarsi R. Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Tahsin M. Kurç, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel H. Saltz

CoRR, 2019

Label Super Resolution with Inter-Instance Loss.

Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojsa Jojic, Danielle Fassler, Tahsin M. Kurç, Rajarsi R. Gupta, Kolya Malkin, Shahira Abousamra, Kenneth Shroyer, Joel H. Saltz

CoRR, 2019

From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer.

Tahsin M. Kurç, Ashish Sharma, Rajarsi Gupta, Le Hou, Han Le, Shahira Abousamra, Erich Bremer, Ryan Birmingham, Tammy Diprima, Nan Li, Feiqiao Wang, Joseph Balsamo, Whitney Bremer, Dimitris Samaras, Joel H. Saltz

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Exascale Deep Learning to Accelerate Cancer Research.

Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Localization and Tracking in 4D Fluorescence Microscopy Imagery.

Shahira Abousamra, Shai Adar, Natalie Elia, Roy Shilkrot

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018