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)

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)

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)