Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network. - Yicheng Chen 004; Javier E. Villanueva-Meyer; Melanie A. Morrison; Janine M. Lupo (J. Digit. Imaging, 2019)

Correction to: Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network. - Yicheng Chen 004; Javier E. Villanueva-Meyer; Melanie A. Morrison; Janine M. Lupo (J. Digit. Imaging, 2019)

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. - Ujjwal Baid; Satyam Ghodasara; Michel Bilello; Suyash Mohan; Evan Calabrese; Errol Colak; Keyvan Farahani; Jayashree Kalpathy-Cramer; Felipe C. Kitamura; Sarthak Pati; Luciano M. Prevedello; Jeffrey D. Rudie; et al. (CoRR, 2021)

The University of California San Francisco Preoperative Diffuse Glioma (UCSF-PDGM) MRI Dataset. - Evan Calabrese; Javier E. Villanueva-Meyer; Jeffrey D. Rudie; Andreas M. Rauschecker; Ujjwal Baid; Spyridon Bakas; John Mongan; Christopher Hess; Soonmee Cha (CoRR, 2021)

The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. - Bhakti Baheti; Diana Waldmannstetter; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; et al. (CoRR, 2021)

Federated Learning Enables Big Data for Rare Cancer Boundary Detection. - Sarthak Pati; Ujjwal Baid; Brandon Edwards; Micah J. Sheller; Hans Shih-Han Wang; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Deepthi Karkada; Christos Davatzikos; Chiharu Sako; Satyam Ghodasara; et al. (CoRR, 2022)

Clinical validation of rapid GPU-enabled DTI tractography of the brain. - Felix Liu; Vanitha Sankaranarayanan; Javier E. Villanueva-Meyer; Shawn Hervey-Jumper; James Hawkins; Pablo F. Damasceno; Mauro Bisson; Joshua Romero; Thorsten Kurth; Massimiliano Fatica; Eleftherios Garyfallidis; Ariel Rokem; et al. (High Performance Computing for Imaging, 2023)

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)

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. - Dominic LaBella; Maruf Adewole; Michelle Alonso-Basanta; Talissa Altes; Syed Muhammad Anwar; Ujjwal Baid; Timothy Bergquist; Radhika Bhalerao; Sully F. Chen; Verena Chung; Gian Marco Conte; Farouk Dako; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)

Comparison of quantitative susceptibility mapping methods for iron-sensitive susceptibility imaging at 7T: An evaluation in healthy subjects and patients with Huntington's disease. - Jingwen Yao; Melanie A. Morrison; Angela Jakary; Sivakami Avadiappan; Yicheng Chen 004; Johanna Luitjens; Julia Glueck; Theresa Driscoll; Michael D. Geschwind; Alexandra B. Nelson; Javier E. Villanueva-Meyer; Christopher Paul Hess; et al. (NeuroImage, 2023)

Hyperpolarized [2-13C]pyruvate MR molecular imaging with whole brain coverage. - Brian T. Chung; Yaewon Kim; Jeremy W. Gordon; Hsin-Yu Chen; Adam Autry; Philip M. Lee; Jasmine Y. Hu; Chou T. Tan; Chris Suszczynski; Susan M. Chang; Javier E. Villanueva-Meyer; Robert Bok; et al. (NeuroImage, 2023)

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)

Brain Tumor Sequence Registration (BraTS-Reg) Challenge Dataset. - Bhakti Baheti; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; Brandon K. K. Fields; et al. (Zenodo, 2025)