Tyler J. Bradshaw

21 papers Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the transfer learning behavior of domain-specific vision-language models in screening mammography.
J. Biomed. Informatics
Aisha Urooj Khan, Gokul Ramasamy, Muhammad Danish Khan, John W. Garrett, Tyler J. Bradshaw, Lonie Salkowski, Imon Banerjee
2026 J jnl
Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation.
CoRR
Samuel Church, Joshua D. Warner, Danyal Maqbool, Xin Tie, Junjie Hu, Meghan G. Lubner, Tyler J. Bradshaw
2025 J jnl
COMMA: A Communicative Multimodal Multi-Agent Benchmark.
Trans. Mach. Learn. Res.
Timothy Ossowski, Danyal Maqbool, Jixuan Chen, Zefan Cai, Tyler J. Bradshaw, Junjie Hu
2025 J jnl
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification.
CoRR
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, Matthew P. Lungren, Alan B. McMillan
2025 J jnl
PETAR: Localized Findings Generation with Mask-Aware Vision-Language Modeling for PET Automated Reporting.
CoRR
Danyal Maqbool, Changhee Lee, Zachary Huemann, Samuel Church, Matthew E. Larson, Scott B. Perlman, Tomas A. Romero, Joshua D. Warner, Meghan G. Lubner, Xin Tie, Jameson Merkow, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw
2025 J jnl
Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings.
CoRR
Zachary Huemann, Samuel Church, Joshua D. Warner, Daniel Tran, Xin Tie, Alan B. McMillan, Junjie Hu, Steve Y. Cho, Meghan G. Lubner, Tyler J. Bradshaw
2024 J jnl
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network.
CoRR
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, Steve Y. Cho, Tyler J. Bradshaw
2024 J jnl
COMMA: A Communicative Multimodal Multi-Agent Benchmark.
CoRR
Timothy Ossowski, Jixuan Chen, Danyal Maqbool, Zefan Cai, Tyler J. Bradshaw, Junjie Hu
2024 J jnl
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax.
J. Imaging Inform. Medicine
Zachary Huemann, Xin Tie, Junjie Hu, Tyler J. Bradshaw
2024 — conf
Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer.
HNTS-MRG@MICCAI
Xin Tie, Weijie Chen, Zachary Huemann, Brayden Schott, Nuohao Liu, Tyler J. Bradshaw
2024 J jnl
Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer.
CoRR
Xin Tie, Weijie Chen, Zachary Huemann, Brayden Schott, Nuohao Liu, Tyler J. Bradshaw
2024 — conf
Knowledge-Grounded Adaptation Strategy for Vision-Language Models: Building a Unique Case-Set for Screening Mammograms for Residents Training.
MICCAI (12)
Aisha Urooj Khan, John W. Garrett, Tyler J. Bradshaw, Lonie Salkowski, Jiwoong Jason Jeong, Amara Tariq, Imon Banerjee
2024 J jnl
Knowledge-grounded Adaptation Strategy for Vision-language Models: Building Unique Case-set for Screening Mammograms for Residents Training.
CoRR
Aisha Urooj Khan, John W. Garrett, Tyler J. Bradshaw, Lonie Salkowski, Jiwoong Jason Jeong, Amara Tariq, Imon Banerjee
2024 J jnl
Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024).
CoRR
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, Abhinav K. Jha
2024 J jnl
Personalized Impression Generation for PET Reports Using Large Language Models.
J. Imaging Inform. Medicine
Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara M. Kelly, John W. Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw
2023 J jnl
Anatomy and Physiology of Artificial Intelligence in PET Imaging.
CoRR
Tyler J. Bradshaw, Alan B. McMillan
2023 J jnl
Automatic Personalized Impression Generation for PET Reports Using Large Language Models.
CoRR
Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara M. Kelly, John W. Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw
2023 J jnl
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax.
CoRR
Zachary Huemann, Junjie Hu, Tyler J. Bradshaw
2023 J jnl
Domain-adapted large language models for classifying nuclear medicine reports.
CoRR
Zachary Huemann, Changhee Lee, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw
2023 J jnl
On the effect of training database size for MR-based synthetic CT generation in the head.
Comput. Medical Imaging Graph.
Seyed Iman Zare Estakhraji, Ali Pirasteh, Tyler J. Bradshaw, Alan B. McMillan
2022 J jnl
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022).
CoRR
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, Richard L. Wahl