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Zachary Huemann

Showing results (1-10 of 10) with videos related to

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Radiology. Artificial Intelligence|August 2, 2023
A Guide to Cross-Validation for Artificial Intelligence in Medical ImagingTyler J Bradshaw, Zachary Huemann, Junjie Hu, et al.
Journal of Imaging Informatics in Medicine|March 15, 2024
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of PneumothoraxZachary Huemann, Xin Tie, Junjie Hu, et al.
Radiology. Artificial Intelligence|December 11, 2023
Domain-adapted Large Language Models for Classifying Nuclear Medicine ReportsZachary Huemann, Changhee Lee, Junjie Hu, et al.
Head and Neck Tumor Segmentation for Mr-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, Proceedings|April 29, 2025
Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck CancerXin Tie, Weijie Chen, Zachary Huemann, et al.
Academic Radiology|March 9, 2025
Artificial Intelligence for Teaching Case Curation: Evaluating Model Performance on Imaging Report DiscrepanciesMichael Bartley, Zachary Huemann, Junjie Hu, et al.
Journal of Imaging Informatics in Medicine|April 14, 2026
ConTEXTual Net 3D: Vision-Language Modeling in PET/CT for Visual Grounding of Positive FindingsZachary Huemann, Samuel Church, Joshua D Warner, et al.
Arxiv|October 31, 2023
Automatic Personalized Impression Generation for PET Reports Using Large Language ModelsXin Tie, Muheon Shin, Ali Pirasteh, et al.
Journal of Imaging Informatics in Medicine|February 2, 2024
Personalized Impression Generation for PET Reports Using Large Language ModelsXin Tie, Muheon Shin, Ali Pirasteh, et al.
Arxiv|April 25, 2024
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation NetworkXin Tie, Muheon Shin, Changhee Lee, et al.
Radiology. Artificial Intelligence|February 19, 2025
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Using a Longitudinally Aware Segmentation NetworkXin Tie, Muheon Shin, Changhee Lee, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Radiology. Artificial Intelligence|August 2, 2023
A Guide to Cross-Validation for Artificial Intelligence in Medical ImagingTyler J Bradshaw, Zachary Huemann, Junjie Hu, et al.
Journal of Imaging Informatics in Medicine|March 15, 2024
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of PneumothoraxZachary Huemann, Xin Tie, Junjie Hu, et al.
Radiology. Artificial Intelligence|December 11, 2023
Domain-adapted Large Language Models for Classifying Nuclear Medicine ReportsZachary Huemann, Changhee Lee, Junjie Hu, et al.
Head and Neck Tumor Segmentation for Mr-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, Proceedings|April 29, 2025
Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck CancerXin Tie, Weijie Chen, Zachary Huemann, et al.
Academic Radiology|March 9, 2025
Artificial Intelligence for Teaching Case Curation: Evaluating Model Performance on Imaging Report DiscrepanciesMichael Bartley, Zachary Huemann, Junjie Hu, et al.
Journal of Imaging Informatics in Medicine|April 14, 2026
ConTEXTual Net 3D: Vision-Language Modeling in PET/CT for Visual Grounding of Positive FindingsZachary Huemann, Samuel Church, Joshua D Warner, et al.
Arxiv|October 31, 2023
Automatic Personalized Impression Generation for PET Reports Using Large Language ModelsXin Tie, Muheon Shin, Ali Pirasteh, et al.
Journal of Imaging Informatics in Medicine|February 2, 2024
Personalized Impression Generation for PET Reports Using Large Language ModelsXin Tie, Muheon Shin, Ali Pirasteh, et al.
Arxiv|April 25, 2024
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation NetworkXin Tie, Muheon Shin, Changhee Lee, et al.
Radiology. Artificial Intelligence|February 19, 2025
Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Using a Longitudinally Aware Segmentation NetworkXin Tie, Muheon Shin, Changhee Lee, et al.
Pageof 1