deep learning

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Feasibility of an Ultra-Low-Dose PET Scan Protocol with CT-Based and LSO-TX–Based Attenuation Correction Using a Long–Axial-Field-of-View PET/CT Scanner
Hasan Sari, Mohammadreza Teimoorisichani, Marco Viscione, Clemens Mingels, Robert Seifert, Kuangyu Shi, Michael Morris, Eliot Siegel, Babak Saboury, Thomas Pyka and Axel Rominger

Journal of Nuclear Medicine April 10, 2025, jnumed.124.268380; DOI: https://doi.org/10.2967/jnumed.124.268380
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Artificial Intelligence–Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging
Robert J.H. Miller, Paul Kavanagh, Mark Lemley, Joanna X. Liang, Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Sean Hayes, John Friedman, Daniel S. Berman, Damini Dey and Piotr J. Slomka

Journal of Nuclear Medicine April 1, 2025, 66 (4) 648-653; DOI: https://doi.org/10.2967/jnumed.124.268079
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A Deep-Learning–Based Partial-Volume Correction Method for Quantitative ¹⁷⁷Lu SPECT/CT Imaging
Julian Leube, Johan Gustafsson, Michael Lassmann, Maikol Salas-Ramirez and Johannes Tran-Gia

Journal of Nuclear Medicine June 1, 2024, 65 (6) 980-987; DOI: https://doi.org/10.2967/jnumed.123.266889
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Deep Semisupervised Transfer Learning for Fully Automated Whole-Body Tumor Quantification and Prognosis of Cancer on PET/CT
Kevin H. Leung, Steven P. Rowe, Moe S. Sadaghiani, Jeffrey P. Leal, Esther Mena, Peter L. Choyke, Yong Du and Martin G. Pomper

Journal of Nuclear Medicine April 1, 2024, 65 (4) 643-650; DOI: https://doi.org/10.2967/jnumed.123.267048
Open Access
Clinical Evaluation of Deep Learning for Tumor Delineation on ¹⁸F-FDG PET/CT of Head and Neck Cancer
David G. Kovacs, Claes N. Ladefoged, Kim F. Andersen, Jane M. Brittain, Charlotte B. Christensen, Danijela Dejanovic, Naja L. Hansen, Annika Loft, Jørgen H. Petersen, Michala Reichkendler, Flemming L. Andersen and Barbara M. Fischer

Journal of Nuclear Medicine April 1, 2024, 65 (4) 623-629; DOI: https://doi.org/10.2967/jnumed.123.266574
Open Access
Need for Objective Task-Based Evaluation of Image Segmentation Algorithms for Quantitative PET: A Study with ACRIN 6668/RTOG 0235 Multicenter Clinical Trial Data
Ziping Liu, Joyce C. Mhlanga, Huitian Xia, Barry A. Siegel and Abhinav K. Jha

Journal of Nuclear Medicine March 1, 2024, 65 (3) 485-492; DOI: https://doi.org/10.2967/jnumed.123.266018
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Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events
Robert J.H. Miller, Konrad Pieszko, Aakash Shanbhag, Attila Feher, Mark Lemley, Aditya Killekar, Paul B. Kavanagh, Serge D. Van Kriekinge, Joanna X. Liang, Cathleen Huang, Edward J. Miller, Timothy Bateman, Daniel S. Berman, Damini Dey and Piotr J. Slomka

Journal of Nuclear Medicine April 1, 2023, 64 (4) 652-658; DOI: https://doi.org/10.2967/jnumed.122.264423
Open Access
Fast and Accurate Amyloid Brain PET Quantification Without MRI Using Deep Neural Networks
Seung Kwan Kang, Daewoon Kim, Seong A Shin, Yu Kyeong Kim, Hongyoon Choi and Jae Sung Lee

Journal of Nuclear Medicine April 1, 2023, 64 (4) 659-666; DOI: https://doi.org/10.2967/jnumed.122.264414
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Deep Learning–Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT
Aakash D. Shanbhag, Robert J.H. Miller, Konrad Pieszko, Mark Lemley, Paul Kavanagh, Attila Feher, Edward J. Miller, Albert J. Sinusas, Philipp A. Kaufmann, Donghee Han, Cathleen Huang, Joanna X. Liang, Daniel S. Berman, Damini Dey and Piotr J. Slomka

Journal of Nuclear Medicine March 1, 2023, 64 (3) 472-478; DOI: https://doi.org/10.2967/jnumed.122.264429
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Differential Diagnosis of Parkinsonism Based on Deep Metabolic Imaging Indices
Ping Wu, Yu Zhao, Jianjun Wu, Matthias Brendel, Jiaying Lu, Jingjie Ge, Alexander Bernhardt, Ling Li, Ian Alberts, Sabrina Katzdobler, Igor Yakushev, Jimin Hong, Qian Xu, Yimin Sun, Fengtao Liu, Johannes Levin, Günter U. Höglinger, Claudio Bassetti, Yihui Guan, Wolfgang H. Oertel, Wolfgang Weber, Axel Rominger, Jian Wang, Chuantao Zuo and Kuangyu Shi

Journal of Nuclear Medicine November 1, 2022, 63 (11) 1741-1747; DOI: https://doi.org/10.2967/jnumed.121.263029

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