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European Journal of Radiology|August 13, 2021
Detection and PI-RADS classification of focal lesions in prostate MRI: Performance comparison between a deep learning-based algorithm (DLA) and radiologists with various levels of experienceSeo Yeon Youn, Moon Hyung Choi, Dong Hwan Kim, et al.
Investigative Radiology|March 31, 2021
A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase StudyDavid J Winkel, Angela Tong, Bin Lou, et al.
European Radiology|July 28, 2022
A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologistsSandra Labus, Martin M Altmann, Henkjan Huisman, et al.
European Urology Oncology|January 29, 2025
ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate BiopsiesMirabela Rusu, Hassan Jahanandish, Sulaiman Vesal, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|June 4, 2018
Discordancy and changes in the pattern of programmed death ligand 1 expression before and after platinum-based chemotherapy in metastatic gastric cancerJi Hyun Yang, Hyunho Kim, Sang Young Roh, et al.
Radiology. Artificial Intelligence|August 21, 2024
Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI DatasetsHao Li, Han Liu, Heinrich von Busch, et al.
NPJ Digital Medicine|June 5, 2026
Enhancing foundation model transfer for prostate cancer detection with patch-level contrastive learningJeong Hoon Lee, Cynthia Xinran Li, Hassan Jahanandish, et al.
Radiology|March 11, 2025
MRI-based Deep Learning Algorithm for Assisting Clinically Significant Prostate Cancer Detection: A Bicenter Prospective StudyYoung Joon Lee, Hyong Woo Moon, Moon Hyung Choi, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|January 16, 2023
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional techniqueLei Hu, Caixia Fu, Xinyang Song, et al.
Quantitative Imaging in Medicine and Surgery|March 31, 2025
Improved prostate cancer diagnosis: upgraded prostate imaging reporting and data system (PI-RADS) scores by zoomed diffusion-weighted imaging enhance deep-learning-based computer-aided diagnosis accuracyHaining Long, Lei Hu, Liming Wei, et al.
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