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Physics in Medicine and Biology|November 23, 2020
Interpretation and visualization techniques for deep learning models in medical imagingDaniel T Huff, Amy J Weisman, Robert Jeraj
Physics in Medicine and Biology|September 9, 2020
Impact of scanner harmonization on PET-based treatment response assessment in metastatic melanomaAmy J Weisman, Tyler J Bradshaw, Mauro Namias, et al.
Statistics in Medicine|December 18, 2020
Spatial process decomposition for quantitative imaging biomarkers using multiple images of varying shapesShengLi Tzeng, Jun Zhu, Amy J Weisman, et al.
Biomedical Physics & Engineering Express|September 19, 2023
Multi-organ segmentation of CT via convolutional neural network: impact of training setting and scanner manufacturerAmy J Weisman, Daniel T Huff, Rajkumar Munian Govindan, et al.
Physics in Medicine and Biology|December 29, 2022
Comparison of automated full-body bone metastases delineation methods and their corresponding prognostic powerBrayden Schott, Amy J Weisman, Timothy G Perk, et al.
Physics in Medicine and Biology|September 9, 2020
Comparison of 11 automated PET segmentation methods in lymphomaAmy J Weisman, Minnie W Kieler, Scott Perlman, et al.
Radiology. Artificial Intelligence|May 3, 2021
Convolutional Neural Networks for Automated PET/CT Detection of Diseased Lymph Node Burden in Patients with LymphomaAmy J Weisman, Minnie W Kieler, Scott B Perlman, et al.
Journal of Clinical Medicine|October 26, 2024
Clinical Meaningfulness of an Algorithm-Based Service for Analyzing Treatment Response in Patients with Metastatic Cancer Using FDG PET/CTManojkumar Bupathi, Benjamin Garmezy, Michael Lattanzi, et al.
Physics in Medicine and Biology|August 11, 2023
Performance of an automated registration-based method for longitudinal lesion matching and comparison to inter-reader variabilityDaniel T Huff, Victor Santoro-Fernandes, Song Chen, et al.
Radiology. Imaging Cancer|May 2, 2025
Evaluating Automated Tools for Lesion Detection on 18F Fluoroestradiol PET/CT Images and Assessment of Concordance with Standard-of-Care Imaging in Metastatic Breast CancerRenee Miller, Mark Battle, Kristen Wangerin, et al.
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