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ORCIDTyler J. Bradshaw
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2020 – today
- 2024
[c1]Aisha Urooj Khan, John W. Garrett, Tyler J. Bradshaw, Lonie Salkowski, Jiwoong Jason Jeong, Amara Tariq, Imon Banerjee:
Knowledge-Grounded Adaptation Strategy for Vision-Language Models: Building a Unique Case-Set for Screening Mammograms for Residents Training. MICCAI (12) 2024: 587-598- [i8]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:
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network. CoRR abs/2404.08611 (2024) - [i7]Aisha Urooj Khan, John W. Garrett, Tyler J. Bradshaw, Lonie Salkowski, Jiwoong Jason Jeong, Amara Tariq, Imon Banerjee
:
Knowledge-grounded Adaptation Strategy for Vision-language Models: Building Unique Case-set for Screening Mammograms for Residents Training. CoRR abs/2405.19675 (2024) - [i6]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:
Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024). CoRR abs/2406.01044 (2024) - 2023
- [j1]Seyed Iman Zare Estakhraji, Ali Pirasteh, Tyler J. Bradshaw, Alan B. McMillan:
On the effect of training database size for MR-based synthetic CT generation in the head. Comput. Medical Imaging Graph. 107: 102227 (2023) - [i5]Zachary Huemann, Changhee Lee, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw:
Domain-adapted large language models for classifying nuclear medicine reports. CoRR abs/2303.01258 (2023) - [i4]Zachary Huemann, Junjie Hu, Tyler J. Bradshaw:
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax. CoRR abs/2303.01615 (2023) - [i3]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:
Automatic Personalized Impression Generation for PET Reports Using Large Language Models. CoRR abs/2309.10066 (2023) - [i2]Tyler J. Bradshaw, Alan B. McMillan:
Anatomy and Physiology of Artificial Intelligence in PET Imaging. CoRR abs/2311.18614 (2023) - 2022
- [i1]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:
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022). CoRR abs/2211.03783 (2022)
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