Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022). - Arman Rahmim; Tyler J. Bradshaw; Irène Buvat; Joyita Dutta; Abhinav K. Jha; Paul E. Kinahan; Quanzheng Li; Chi Liu; Melissa D. McCradden; Babak Saboury; Eliot L. Siegel; John J. Sunderland; et al. (CoRR, 2022)

On the effect of training database size for MR-based synthetic CT generation in the head. - Seyed Iman Zare Estakhraji; Ali Pirasteh; Tyler J. Bradshaw; Alan B. McMillan (Comput. Medical Imaging Graph., 2023)

Domain-adapted large language models for classifying nuclear medicine reports. - Zachary Huemann; Changhee Lee; Junjie Hu 001; Steve Y. Cho; Tyler J. Bradshaw (CoRR, 2023)

ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax. - Zachary Huemann; Junjie Hu 001; Tyler J. Bradshaw (CoRR, 2023)

Automatic Personalized Impression Generation for PET Reports Using Large Language Models. - Xin Tie; Muheon Shin; Ali Pirasteh; Nevein Ibrahim; Zachary Huemann; Sharon M. Castellino; Kara M. Kelly; John W. Garrett; Junjie Hu 001; Steve Y. Cho; Tyler J. Bradshaw (CoRR, 2023)

Anatomy and Physiology of Artificial Intelligence in PET Imaging. - Tyler J. Bradshaw; Alan B. McMillan (CoRR, 2023)

Knowledge-Grounded Adaptation Strategy for Vision-Language Models: Building a Unique Case-Set for Screening Mammograms for Residents Training. - Aisha Urooj Khan; John W. Garrett; Tyler J. Bradshaw; Lonie Salkowski; Jiwoong Jason Jeong; Amara Tariq; Imon Banerjee (MICCAI (12), 2024)

Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer. - Xin Tie; Weijie Chen 008; Zachary Huemann; Brayden Schott; Nuohao Liu; Tyler J. Bradshaw (HNTS-MRG@MICCAI, 2024)

Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network. - Xin Tie; Muheon Shin; Changhee Lee; Scott B. Perlman; Zachary Huemann; Amy J. Weisman; Sharon M. Castellino; Kara M. Kelly; Kathleen M. McCarten; Adina L. Alazraki; Junjie Hu 001; Steve Y. Cho; et al. (CoRR, 2024)

Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024). - Arman Rahmim; Tyler J. Bradshaw; Guido Davidzon; Joyita Dutta; Georges El Fakhri; Munir Ghesani; Nicolas A. Karakatsanis; Quanzheng Li; Chi Liu; Emilie Roncali; Babak Saboury; Tahir Yusufaly; et al. (CoRR, 2024)

COMMA: A Communicative Multimodal Multi-Agent Benchmark. - Timothy Ossowski; Jixuan Chen; Danyal Maqbool; Zefan Cai; Tyler J. Bradshaw; Junjie Hu 001 (CoRR, 2024)

Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings. - Zachary Huemann; Samuel Church; Joshua D. Warner; Daniel Tran; Xin Tie; Alan B. McMillan; Junjie Hu 001; Steve Y. Cho; Meghan G. Lubner; Tyler J. Bradshaw (CoRR, 2025)

From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification. - Xue Li; Jameson Merkow; Noel C. F. Codella; Alberto Santamaría-Pang; Naiteek Sangani; Alexander Ersoy; Christopher Burt; John W. Garrett; Richard J. Bruce; Joshua D. Warner; Tyler J. Bradshaw; Ivan Tarapov; et al. (CoRR, 2025)