| A guide to cross-validation for artificial intelligence in medical imaging TJ Bradshaw, Z Huemann, J Hu, A Rahmim Radiology: Artificial Intelligence 5 (4), e220232, 2023 | 22 | 2023 |
| ConTEXTual net: a multimodal vision-language model for segmentation of pneumothorax Z Huemann, X Tie, J Hu, TJ Bradshaw Journal of Imaging Informatics in Medicine, 1-12, 2024 | 4 | 2024 |
| Domain-adapted large language models for classifying nuclear medicine reports Z Huemann, C Lee, J Hu, SY Cho, TJ Bradshaw Radiology: Artificial Intelligence 5 (6), e220281, 2023 | 4 | 2023 |
| Personalized Impression Generation for PET Reports Using Large Language Models X Tie, M Shin, A Pirasteh, N Ibrahim, Z Huemann, SM Castellino, KM Kelly, ... Journal of Imaging Informatics in Medicine, 1-18, 2024 | 3 | 2024 |
| Automatic personalized impression generation for pet reports using large language models X Tie, M Shin, A Pirasteh, N Ibrahim, Z Huemann, SM Castellino, KM Kelly, ... ArXiv, 2023 | 1 | 2023 |
| Multimodal learning and natural language processing for interpreting PET images and reports in lymphoma Z Huemann, C Lee, J Hu, S Cho, T Bradshaw Journal of Nuclear Medicine 63 (supplement 2), 3345-3345, 2022 | 1 | 2022 |
| A Longitudinally-Aware Segmentation Network for Automatic Interim PET Analysis in Pediatric Hodgkin Lymphoma Patients X Tie, M Shin, C Lee, S Perlman, Z Huemann, S Castellino, K Kelly, J Hu, ... Journal of Nuclear Medicine 65 (supplement 2), 241137-241137, 2024 | | 2024 |
| Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network X Tie, M Shin, C Lee, SB Perlman, Z Huemann, AJ Weisman, ... ArXiv, 2024 | | 2024 |
