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Physics in Medicine and Biology|May 16, 2025
Uncertainty quantification for deep learning-based metastatic lesion segmentation on whole body PET/CTBrayden Schott, Victor Santoro-Fernandes, Zan Klanecek, et al.
Physics in Medicine and Biology|October 8, 2025
InfoOOD: information bottleneck optimization for post hoc medical image out-of-distribution detectionBrayden Schott, Žan Klaneček, Victor Santoro-Fernandes, et al.
Physics in Medicine and Biology|March 8, 2024
An automated methodology for whole-body, multimodality tracking of individual cancer lesionsVictor Santoro-Fernandes, Daniel T Huff, Luciano Rivetti, et al.
European Journal of Nuclear Medicine and Molecular Imaging|May 25, 2024
Models using comprehensive, lesion-level, longitudinal [68Ga]Ga-DOTA-TATE PET-derived features lead to superior outcome prediction in neuroendocrine tumor patients treated with [177Lu]Lu-DOTA-TATEVictor Santoro-Fernandes, Brayden Schott, Ali Deatsch, et al.
Physics in Medicine and Biology|July 9, 2024
Uncertainty quantification via localized gradients for deep learning-based medical image assessmentsBrayden Schott, Dmitry Pinchuk, Victor Santoro-Fernandes, 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.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|February 13, 2025
Full-Body Tumor Response Heterogeneity of Metastatic Neuroendocrine Tumor Patients Undergoing Peptide Receptor Radiopharmaceutical TherapyVictor Santoro-Fernandes, Brayden Schott, Amy J Weisman, et al.
Physics in Medicine and Biology|July 14, 2021
Development and validation of a longitudinal soft-tissue metastatic lesion matching algorithmVictor Santoro-Fernandes, Daniel Huff, Mathew L Scarpelli, et al.
Journal of Medicinal Chemistry|June 24, 2026
Biocompatible Glycoconjugation Enables Sensitive In Vivo Cell Tracking by PET/CTNathan Clemons, Anna S Thickens, Liudmila Lambert Lepesevich, et al.
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