Amy Weisman

8PUBLICATIONS
17CO-AUTHORS
Natural language processingCancer therapy (excl. chemotherapy and radiation therapy)Neural networksPredictive and prognostic markersCellular immunology
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Publications (8)

|Mar 27, 2026
Repeatability of Semi-Quantitative and Volumetric Features from Artificial-Intelligence-Guided Lesion Segmentation on 18F-DCFPyL PSMA-PET/CT Images: Results from a Test-Retest Cohort.

Md Zobaer Islam, Timothy G Perk, Amy Weisman

|Oct 26, 2024
Clinical Meaningfulness of an Algorithm-Based Service for Analyzing Treatment Response in Patients with Metastatic Cancer Using FDG PET/CT.

Manojkumar Bupathi, Benjamin Garmezy, Michael Lattanzi

|Sep 19, 2023
Multi-organ segmentation of CT via convolutional neural network: impact of training setting and scanner manufacturer.

Amy J Weisman, Daniel T Huff, Rajkumar Munian Govindan

|Aug 11, 2023
Performance of an automated registration-based method for longitudinal lesion matching and comparison to inter-reader variability.

Daniel T Huff, Victor Santoro-Fernandes, Song Chen

|May 03, 2021
Convolutional Neural Networks for Automated PET/CT Detection of Diseased Lymph Node Burden in Patients with Lymphoma.

Amy J Weisman, Minnie W Kieler, Scott B Perlman

|Nov 23, 2020
Interpretation and visualization techniques for deep learning models in medical imaging.

Daniel T Huff, Amy J Weisman, Robert Jeraj

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Frequent Collaborators

4 joint publications

Timothy G Perk

3 joint publications

Tyler J Bradshaw

3 joint publications

Daniel T Huff

2 joint publications

Scott Perlman