John Abel

According to our database, John Abel authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Interpretability analysis on a pathology foundation model reveals biologically relevant embeddings across modalities.

Nhat Le, Ciyue Shen, Chintan Shah, Blake Martin, Daniel Shenker, Harshith Padigela, Jennifer A. Hipp, Sean Grullon, John Abel, Harsha Pokkalla, Dinkar Juyal

CoRR, 2024

PLUTO: Pathology-Universal Transformer.

Dinkar Juyal, Harshith Padigela, Chintan Shah, Daniel Shenker, Natalia Harguindeguy, Yi Liu, Blake Martin, Yibo Zhang, Michael Nercessian, Miles Markey, Isaac Finberg, Kelsey Luu, Daniel Borders, Syed Ashar Javed, Emma Krause, Raymond Biju, Aashish Sood, Allen Ma, Jackson Nyman, John Shamshoian, Guillaume Chhor, Darpan Sanghavi, Marc Thibault, Limin Yu, Fedaa Najdawi, Jennifer A. Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Pokkalla, Andrew H. Beck, Sean Grullon

CoRR, 2024

SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology.

Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed, Harshith Padigela, Chintan Shah, Anand Sampat, Archit Khosla, John Abel, Amaro Taylor-Weiner

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Improved statistical benchmarking of digital pathology models using pairwise frames evaluation.

Ylaine Gerardin, John Shamshoian, Judy Shen, Nhat Le, Jamie Prezioso, John Abel, Isaac Finberg, Daniel Borders, Raymond Biju, Michael Nercessian, Vaed Prasad, Joseph Lee, Spencer Wyman, Sid Gupta, Abigail Emerson, Bahar Rahsepar, Darpan Sanghavi, Ryan Leung, Limin Yu, Archit Khosla, Amaro Taylor-Weiner

CoRR, 2023

ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis.

Tan H. Nguyen, Dinkar Juyal, Jin Li, Aaditya Prakash, Shima Nofallah, Chintan Shah, Sai Chowdary Gullapally, Michael Griffin, Anand Sampat, John Abel, Justin Lee, Amaro Taylor-Weiner

CoRR, 2023

Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology.

Sai Chowdary Gullapally, Yibo Zhang, Nitin Kumar Mittal, Deeksha Kartik, Sandhya Srinivasan, Kevin Rose, Daniel Shenker, Dinkar Juyal, Harshith Padigela, Raymond Biju, Victor Minden, Chirag Maheshwari, Marc Thibault, Zvi Goldstein, Luke Novak, Nidhi Chandra, Justin Lee, Aaditya Prakash, Chintan Shah, John Abel, Darren Fahy, Amaro Taylor-Weiner, Anand Sampat

CoRR, 2023

2022

Multi stain graph fusion for multimodal integration in pathology.

Chaitanya Dwivedi, Shima Nofallah, Maryam Pouryahya, Janani Iyer, Kenneth Leidal, Chuhan Chung, Timothy Watkins, Andrew Billin, Robert Myers, John Abel, Ali Behrooz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022