Dinkar Juyal

According to our database, Dinkar Juyal authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• 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

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

Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts.

Jin Li, Deepta Rajan, Chintan Shah, Dinkar Juyal, Shreya Chakraborty, Chandan Akiti, Filip Kos, Janani Iyer, Anand Sampat, Ali Behrooz

CoRR, 2022

Additive MIL: Intrinsic Interpretability for Pathology.

Syed Ashar Javed, Dinkar Juyal, Harshith Padigela, Amaro Taylor-Weiner, Limin Yu, Aaditya Prakash

CoRR, 2022

Rethinking Machine Learning Model Evaluation in Pathology.

Syed Ashar Javed, Dinkar Juyal, Zahil Shanis, Shreya Chakraborty, Harsha Pokkalla, Aaditya Prakash

CoRR, 2022

Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology.

Syed Ashar Javed, Dinkar Juyal, Harshith Padigela, Amaro Taylor-Weiner, Limin Yu, Aaditya Prakash

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022