Deep learning-based detection of intravenous contrast in computed tomography scans. - Zezhong Ye; Jack M. Qian; Ahmed Hosny; Roman Zeleznik; Deborah Plana; Jirapat Likitlersuang; Zhongyi Zhang; Raymond H. Mak; Hugo J. W. L. Aerts; Benjamin H. Kann (CoRR, 2021)

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer. - Roman Zeleznik; Jakob Weiss; Jana Taron; Christian V. Guthier; Danielle S. Bitterman; Cindy Hancox; Benjamin H. Kann; Daniel W. Kim; Rinaa S. Punglia; Jeremy Bredfeldt; Borek Foldyna; Parastou Eslami; et al. (npj Digit. Medicine, 2021)

Head and Neck Primary Tumor and Lymph Node Auto-segmentation for PET/CT Scans. - Arnav Jain; Julia Huang; Yashwanth Ravipati; Gregory Cain; Aidan Boyd; Zezhong Ye; Benjamin H. Kann (HECKTOR@MICCAI, 2022)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Syed Muhammad Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2023)

Large Language Models to Identify Social Determinants of Health in Electronic Health Records. - Marco Guevara; Shan Chen 004; Spencer Thomas; Tafadzwa L. Chaunzwa; Idalid Franco; Benjamin H. Kann; Shalini Moningi; Jack M. Qian; Madeleine Goldstein; Susan Harper; Hugo J. W. L. Aerts; Guergana K. Savova; et al. (CoRR, 2023)

The impact of using an AI chatbot to respond to patient messages. - Shan Chen 004; Marco Guevara; Shalini Moningi; Frank Hoebers; Hesham Elhalawani; Benjamin H. Kann; Fallon E. Chipidza; Jonathan Leeman; Hugo J. W. L. Aerts; Timothy A. Miller; Guergana K. Savova; Raymond H. Mak; et al. (CoRR, 2023)

SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations. - Anna Zapaishchykova; Divyanshu Tak; Aidan Boyd; Zezhong Ye; Hugo J. W. L. Aerts; Benjamin H. Kann (Softw. Impacts, 2023)

SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People. - Anna Zapaishchykova; Benjamin H. Kann; Divyanshu Tak; Zezhong Ye; Daphne A. Haas-Kogan; Hugo J. W. L. Aerts (DGM4MICCAI@MICCAI, 2024)

Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy. - Yining Zha; Benjamin H. Kann; Zezhong Ye; Anna Zapaishchykova; John He; Shu-Hui Hsu; Jonathan E. Leeman; Kelly J. Fitzgerald; David E. Kozono; Raymond H. Mak; Hugo J. W. L. Aerts (CoRR, 2024)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Deep Gandhi; Xinyang Liu; Zhifan Jiang; Syed Muhammed Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; 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)

Large language models to identify social determinants of health in electronic health records. - Marco Guevara; Shan Chen 004; Spencer Thomas; Tafadzwa L. Chaunzwa; Idalid Franco; Benjamin H. Kann; Shalini Moningi; Jack M. Qian; Madeleine Goldstein; Susan Harper; Hugo J. W. L. Aerts; Paul J. Catalano; et al. (npj Digit. Medicine, 2024)

Vision Foundation Models for Computed Tomography. - Suraj Pai; Ibrahim Hadzic; Dennis Bontempi; Keno K. Bressem; Benjamin H. Kann; Andriy Fedorov; Raymond H. Mak; Hugo J. W. L. Aerts (CoRR, 2025)

TissUnet: Improved Extracranial Tissue and Cranium Segmentation for Children through Adulthood. - Markiian Mandzak; Elvira Yang; Anna Zapaishchykova; Yu-Hui Chen; Lucas Heilbroner; John Zielke; Divyanshu Tak; Reza Mojahed-Yazdi; Francesca Romana Mussa; Zezhong Ye; Sridhar Vajapeyam; Viviana Benitez; et al. (CoRR, 2025)

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face). - Fridolin Haugg; Grace Lee; John He; Leonard Nürnberg; Dennis Bontempi; Danielle S. Bitterman; Paul J. Catalano; Vasco Prudente; Dmitrii Glubokov; Andrew Warrington; Suraj Pai; Dirk De Ruysscher; et al. (CoRR, 2025)