Anurag Vaidya

According to our database, Anurag Vaidya authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

Composable Interventions for Language Models.

Arinbjorn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen

CoRR, 2024

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis.

Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag J. Vaidya, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Faisal Mahmood

CoRR, 2024

Artificial Intelligence for Digital and Computational Pathology.

Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, Ming Y. Lu, Anurag Vaidya, Tiffany R. Miller, Faisal Mahmood

CoRR, 2024

Multimodal Prototyping for cancer survival prediction.

Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multistain Pretraining for Slide Representation Learning in Pathology.

Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood

Proceedings of the Computer Vision - ECCV 2024, 2024

Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction.

Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Transcriptomics-Guided Slide Representation Learning in Computational Pathology.

Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A General-Purpose Self-Supervised Model for Computational Pathology.

Richard J. Chen, Tong Ding, Ming Y. Lu, Drew F. K. Williamson, Guillaume Jaume, Bowen Chen, Andrew Zhang, Daniel Shao, Andrew H. Song, Muhammad Shaban, Mane Williams, Anurag Vaidya, Sharifa Sahai, Lukas Oldenburg, Luca L. Weishaupt, Judy J. Wang, Walt Williams, Long Phi Le, Georg Gerber, Faisal Mahmood

CoRR, 2023

2022

Perceptually improved T1-T2 MRI translations using conditional generative adversarial networks.

Anurag Vaidya, Joshua V. Stough, Aalpen A. Patel

Proceedings of the Medical Imaging 2022: Image Processing, 2022