Rebecca Batiste

According to our database, Rebecca Batiste authored at least 5 papers between 2016 and 2025.

Collaborative distances:

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

2025

TCGA-SBU-TIL-Maps: AI-derived Tumor Infiltrating Lymphocyte maps for the TCGA collections.

Christopher P. Bridge, Shahira Abousamra, Joel H. Saltz, Rajarsi Gupta, Tahsin Kurc, Yuwei Zhang, Tianhao Zhao, Rebecca Batiste, Dimitris Samaras, Erich Bremer, Kenneth R. Shroyer, Vu Nguyen, Pankaj Singh, Le Hou, John S. Van Arnam, Ilya Shmulevich, Arvind U. K. Rao, Alexander J. Lazar, Ashish Sharma, Vesteinn Thorsson, Anand Shankar, Chao Chen, David A. Clunie, Andrey Fedorov

Dataset, November, 2025

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

2016

Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis.

Brad M. Keller, Aimilia Gastounioti, Rebecca C. Batiste, Despina Kontos, Michael D. Feldman

Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale Gap.

Predrag R. Bakic, David D. Pokrajac, Rebecca Batiste, Michael D. Feldman, Andrew D. A. Maidment

Proceedings of the Breast Imaging, 2016