John S. Van Arnam

According to our database, John S. Van Arnam authored at least 4 papers between 2020 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

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

A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification.

Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types.

Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurç, Joel H. Saltz

CoRR, 2020