RoentGen: Vision-Language Foundation Model for Chest X-ray Generation. - Pierre J. Chambon; Christian Bluethgen; Jean-Benoit Delbrouck; Rogier van der Sluijs; Malgorzata Polacin; Juan Manuel Zambrano Chaves; Tanishq Mathew Abraham; Shivanshu Purohit; Curtis P. Langlotz; Akshay Chaudhari (CoRR, 2022)

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors. - Paul S. Scotti; Atmadeep Banerjee; Jimmie Goode; Stepan Shabalin; Alex Nguyen; Ethan Cohen; Aidan J. Dempster; Nathalie Verlinde; Elad Yundler; David Weisberg; Kenneth A. Norman; Tanishq Mathew Abraham (NeurIPS, 2023)

Label- and slide-free tissue histology using 3D epi-mode quantitative phase imaging and virtual H&E staining. - Tanishq Mathew Abraham; Paloma Casteleiro Costa; Caroline Filan; Zhe Guang; Zhaobin Zhang; Stewart Neill; Jeffrey J. Olson; Richard M. Levenson 001; Francisco E. Robles (CoRR, 2023)

Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers. - Katherine Crowson; Stefan Andreas Baumann; Alex Birch; Tanishq Mathew Abraham; Daniel Z. Kaplan; Enrico Shippole (ICML, 2024)

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data. - Paul S. Scotti; Mihir Tripathy; Cesar Torrico 002; Reese Kneeland; Tong Chen; Ashutosh Narang; Charan Santhirasegaran; Jonathan Xu; Thomas Naselaris; Kenneth A. Norman; Tanishq Mathew Abraham (ICML, 2024)

CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. - Zhihong Chen; Maya Varma; Jean-Benoit Delbrouck; Magdalini Paschali; Louis Blankemeier; Dave Van Veen; Jeya Maria Jose Valanarasu; Alaa Youssef; Joseph Paul Cohen; Eduardo Pontes Reis; Emily Bao Tsai; Andrew Johnston; et al. (CoRR, 2024)