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Showing results (121-130 of 129) with videos related to

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Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|September 19, 2024
Initial Experience with [<sup>177</sup>Lu]Lu-PSMA-617 After Regulatory Approval for Metastatic Castration-Resistant Prostate Cancer: Efficacy, Safety, and Outcome PredictionAndrei Gafita, Andrew Voter, Somya Shesadri, et al.
Pediatric Pulmonology|May 2, 2026
Evolution of the New York State Cystic Fibrosis Newborn Screening Algorithm: Two Decades of ExperienceElinor Langfelder-Schwind, Denise M Kay, Maria Berdella, et al.
Journal of Imaging Informatics in Medicine|April 8, 2024
An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate CancerYang Li, Maliha R Imami, Linmei Zhao, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|September 26, 2024
Efficacy and Toxicity of [<sup>177</sup>Lu]Lu-PSMA-617 for Metastatic Castration-Resistant Prostate Cancer: Results from the U.S. Expanded-Access Program and Comparisons with Phase 3 VISION DataVishnu Murthy, Andrew F Voter, Kathleen Nguyen, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|December 5, 2023
Comparison of Multiple Segmentation Methods for Volumetric Delineation of Primary Prostate Cancer with Prostate-Specific Membrane Antigen-Targeted <sup>18</sup>F-DCFPyL PET/CTFelicia Wang, Chen Liu, Igor Vidal, et al.
Human Mutation|November 6, 2015
Clinical Sensitivity of Cystic Fibrosis Mutation Panels in a Diverse PopulationErin E Hughes, Colleen F Stevens, Carlos A Saavedra-Matiz, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 7, 2025
Artificial intelligence-based lesion characterization and outcome prediction of prostate cancer on [<sup>18</sup>F]DCFPyL PSMA imagingLinmei Zhao, Maliha R Imami, Yuli Wang, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 5, 2022
Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteinsHelgi I Ingólfsson, Chris Neale, Timothy S Carpenter, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|January 21, 2020
Exascale applications: skin in the gameFrancis Alexander, Ann Almgren, John Bell, et al.
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Showing results (121-130 of 129) with videos related to

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Pageof 13
You have reached the last page of results.This site can display upto 129 results.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|September 19, 2024
Initial Experience with [<sup>177</sup>Lu]Lu-PSMA-617 After Regulatory Approval for Metastatic Castration-Resistant Prostate Cancer: Efficacy, Safety, and Outcome PredictionAndrei Gafita, Andrew Voter, Somya Shesadri, et al.
Pediatric Pulmonology|May 2, 2026
Evolution of the New York State Cystic Fibrosis Newborn Screening Algorithm: Two Decades of ExperienceElinor Langfelder-Schwind, Denise M Kay, Maria Berdella, et al.
Journal of Imaging Informatics in Medicine|April 8, 2024
An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate CancerYang Li, Maliha R Imami, Linmei Zhao, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|September 26, 2024
Efficacy and Toxicity of [<sup>177</sup>Lu]Lu-PSMA-617 for Metastatic Castration-Resistant Prostate Cancer: Results from the U.S. Expanded-Access Program and Comparisons with Phase 3 VISION DataVishnu Murthy, Andrew F Voter, Kathleen Nguyen, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|December 5, 2023
Comparison of Multiple Segmentation Methods for Volumetric Delineation of Primary Prostate Cancer with Prostate-Specific Membrane Antigen-Targeted <sup>18</sup>F-DCFPyL PET/CTFelicia Wang, Chen Liu, Igor Vidal, et al.
Human Mutation|November 6, 2015
Clinical Sensitivity of Cystic Fibrosis Mutation Panels in a Diverse PopulationErin E Hughes, Colleen F Stevens, Carlos A Saavedra-Matiz, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 7, 2025
Artificial intelligence-based lesion characterization and outcome prediction of prostate cancer on [<sup>18</sup>F]DCFPyL PSMA imagingLinmei Zhao, Maliha R Imami, Yuli Wang, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 5, 2022
Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteinsHelgi I Ingólfsson, Chris Neale, Timothy S Carpenter, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|January 21, 2020
Exascale applications: skin in the gameFrancis Alexander, Ann Almgren, John Bell, et al.
Pageof 13