Tyler J. Bradshaw

According to our database, Tyler J. Bradshaw authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Steve Y. Cho, Tyler J. Bradshaw

CoRR, 2024

2023

Anatomy and Physiology of Artificial Intelligence in PET Imaging.

Tyler J. Bradshaw, Alan B. McMillan

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, Steve Y. Cho, Tyler J. Bradshaw

CoRR, 2023

ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax.

Zachary Huemann, Junjie Hu, Tyler J. Bradshaw

CoRR, 2023

Domain-adapted large language models for classifying nuclear medicine reports.

Zachary Huemann, Changhee Lee, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw

CoRR, 2023

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

2022

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, Richard L. Wahl

CoRR, 2022