Zachary Huemann

According to our database, Zachary Huemann authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

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, Steve Y. Cho, Meghan G. Lubner, Tyler J. Bradshaw

CoRR, February, 2025

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

Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer.

Xin Tie, Weijie Chen, Zachary Huemann, Brayden Schott, Nuohao Liu, Tyler J. Bradshaw

Proceedings of the Head and Neck Tumor Segmentation for MR-Guided Applications, 2024

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