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)

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; et al. (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)

ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology. - Tan H. Nguyen; Dinkar Juyal; Jin Li; Aaditya Prakash; Shima Nofallah; Chintan Shah; Sai Chowdary Gullapally; Limin Yu; Michael Griffin; Anand Sampat; John Abel; Justin Lee; et al. (COMPAY@MICCAI, 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 (WACV, 2024)

Composition of Experts: A Modular Compound AI System Leveraging Large Language Models. - Swayambhoo Jain; Ravi Raju; Bo Li; Zoltan Csaki; Jonathan Li 009; Kaizhao Liang; Guoyao Feng; Urmish Thakkar; Anand Sampat; Raghu Prabhakar; Sumati Jairath (CoRR, 2024)