Movement science needs different pose tracking algorithms. - Nidhi Seethapathi; Shaofei Wang; Rachit Saluja; Gunnar Blohm; Konrad P. Körding (CoRR, 2019)

Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network. - Jeffrey D. Rudie; David A. Weiss; Rachit Saluja; Andreas M. Rauschecker; Jiancong Wang; Leo Sugrue; Spyridon Bakas; John B. Colby (Frontiers Comput. Neurosci., 2019)

The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. - Jeffrey D. Rudie; Rachit Saluja; David A. Weiss; Pierre Nedelec; Evan Calabrese; John B. Colby; Benjamin Laguna; John Mongan; Steve Braunstein; Christopher Paul Hess; Andreas M. Rauschecker; Leo P. Sugrue; et al. (CoRR, 2023)

A Framework for Interpretability in Machine Learning for Medical Imaging. - Alan Q. Wang 003; Batuhan K. Karaman; Heejong Kim; Jacob Rosenthal; Rachit Saluja; Sean I. Young; Mert R. Sabuncu (IEEE Access, 2024)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration. - Alan Q. Wang 003; Rachit Saluja; Heejong Kim; Xinzi He; Adrian V. Dalca; Mert R. Sabuncu (CoRR, 2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - Dominic LaBella; Katherine Schumacher; Michael Mix; Kevin Leu; Shan McBurney-Lin; Pierre Nedelec; Javier E. Villanueva-Meyer; Jonathan Shapey; Tom Vercauteren; Kazumi Chia; Omar Al-Salihi; Justin Leu; et al. (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (CoRR, 2024)

Cancer Type, Stage and Prognosis Assessment from Pathology Reports using LLMs. - Rachit Saluja; Jacob Rosenthal; Yoav Artzi; David J. Pisapia; Benjamin Liechty; Mert R. Sabuncu (CoRR, 2025)

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis. - Florian Kofler; Marcel Rosier; Mehdi Astaraki; Ujjwal Baid; Hendrik Kristian Möller; Josef A. Buchner; Felix Steinbauer; Eva Oswald; Ezequiel de la Rosa; Ivan Ezhov; Constantin von See; Jan Kirschke; et al. (CoRR, 2025)

BPD-Neo: An MRI Dataset for Lung-Trachea Segmentation with Clinical Data for Neonatal Bronchopulmonary Dysplasia. - Rachit Saluja; Arzu Kovanlikaya; Candace Chien; Lauren Kathryn Blatt; Jeffrey M. Perlman; Stefan Worgall; Mert R. Sabuncu; Jonathan P. Dyke (CoRR, 2025)