Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network

1 code implementation • 12 Apr 2024 • 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

For baseline segmentation, LAS-Net achieved a mean Dice score of 0. 772.

Automatic Personalized Impression Generation for PET Reports Using Large Language Models

2 code implementations • 18 Sep 2023 • Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara M. Kelly, John Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw

Twelve language models were trained on a corpus of PET reports using the teacher-forcing algorithm, with the report findings as input and the clinical impressions as reference.

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

1 code implementation • 2 Mar 2023 • Zachary Huemann, Xin Tie, Junjie Hu, Tyler J. Bradshaw

ConTEXTual Net was trained on the CANDID-PTX dataset consisting of 3, 196 positive cases of pneumothorax with segmentation annotations from 6 different physicians as well as clinical radiology reports.

Descriptive Image Captioning +5

Domain-adapted large language models for classifying nuclear medicine reports

no code implementations • 1 Mar 2023 • Zachary Huemann, Changhee Lee, Junjie Hu, Steve Y. Cho, Tyler Bradshaw

Domain adaptation improved the performance of large language models in interpreting nuclear medicine text reports.

Domain Adaptation Language Modelling +1