Shahira Abousamra

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 22

Top Topics

Multi Class Classifier

Fluorescence Microscopy

Breast Cancer Detection

Top Venues

BrainLes@MICCAI (2)

Publications

Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CVPR (2023)
Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CoRR (2023)
Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen
TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised Segmentation of Histopathology Images. CoRR (2023)
Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen
Calibrating Uncertainty for Semi-Supervised Crowd Counting. ICCV (2023)
Jakub R. Kaczmarzyk, Rajarsi Gupta, Tahsin M. Kurç, Shahira Abousamra, Joel H. Saltz, Peter K. Koo
ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification. Comput. Methods Programs Biomed. 239 (2023)
Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen
Calibrating Uncertainty for Semi-Supervised Crowd Counting. CoRR (2023)
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
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. MIDL (2023)
Jakub R. Kaczmarzyk, Tahsin M. Kurç, Shahira Abousamra, Rajarsi Gupta, Joel H. Saltz, Peter K. Koo
Evaluating histopathology transfer learning with ChampKit. CoRR (2022)
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
A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment. CoRR (2022)
Ujjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas
Federated Learning for the Classification of Tumor Infiltrating Lymphocytes. CoRR (2022)
Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Multi-Class Cell Detection Using Spatial Context Representation. ICCV (2021)
Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Multi-Class Cell Detection Using Spatial Context Representation. CoRR (2021)
Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen
Localization in the Crowd with Topological Constraints. AAAI (2021)
Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen
Localization in the Crowd with Topological Constraints. CoRR (2020)
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
Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images. ISBI (2020)
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
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer. CoRR (2019)
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
Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData (2019)
Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz
Exascale Deep Learning to Accelerate Cancer Research. CoRR (2019)
Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojsa Jojic, Danielle Fassler, Tahsin M. Kurç, Rajarsi R. Gupta, Kolya Malkin, Shahira Abousamra, Shroyer Kenneth, Joel H. Saltz
Label Super Resolution with Inter-Instance Loss. CoRR (2019)
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
From Whole Slide Tissues to Knowledge: Mapping Sub-cellular Morphology of Cancer. BrainLes@MICCAI (2) (2019)
Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, Shroyer Kenneth, Joel H. Saltz
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. CoRR (2019)
Shahira Abousamra, Shai Adar, Natalie Elia, Roy Shilkrot
Localization and Tracking in 4D Fluorescence Microscopy Imagery. CVPR Workshops (2018)