Akshay S. Chaudhari
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
5
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback. | Dennis Hein, Zhihong Chen, Sophie Ostmeier, Justin Xu, Maya Varma, Eduardo Pontes Reis, Arne Edward Michalson, Christian Bluethgen, Hyun Joo Shin, Curtis P. Langlotz, Akshay S. Chaudhari |
| 2025 | ICLR | Time-to-Event Pretraining for 3D Medical Imaging. | Zepeng Frazier Huo, Jason Alan Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier, Akshay S. Chaudhari, Curtis P. Langlotz, Nigam Shah |
| 2025 | ICML | Efficient Noise Calculation in Deep Learning-based MRI Reconstructions. | Onat Dalmaz, Arjun D. Desai, Reinhard Heckel, Tolga ukur, Akshay S. Chaudhari, Brian A. Hargreaves |
| 2025 | ICML | LieRE: Lie Rotational Positional Encodings. | Sophie Ostmeier, Brian Axelrod, Maya Varma, Michael E. Moseley, Akshay S. Chaudhari, Curtis Langlotz |
| 2024 | AAAI | MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. | Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah |
| 2022 | MICCAI | Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning. | Louis Blankemeier, Isabel Gallegos, Juan Manuel Zambrano Chaves, David J. Maron, Alexander T. Sandhu, Ftima Rodriguez, Daniel L. Rubin, Bhavik N. Patel, Marc H. Willis, Robert D. Boutin, Akshay S. Chaudhari |
| 2022 | MICCAI | Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. | Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly |
| 2021 | ICML | Measuring Robustness in Deep Learning Based Compressive Sensing. | Mohammad Zalbagi Darestani, Akshay S. Chaudhari, Reinhard Heckel |