Radiology | Urology Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time. May 9, 2024
Oncology | Radiology T2-weighted imaging-based deep-learning method for noninvasive prostate cancer detection and Gleason grade prediction: a multicenter study. May 7, 2024
Radiology Feasibility of the application of deep learning-reconstructed ultra-fast respiratory-triggered T2-weighted imaging at 3 T in liver imaging. March 4, 2024
Gynecology | Radiology Deep learning-accelerated T2-weighted imaging versus conventional T2-weighted imaging in the female pelvic cavity: image quality and diagnostic performance. February 12, 2024
Radiology | Urology Development and clinical utility analysis of a prostate zonal segmentation model on T2-weighted imaging: a multicenter study. March 17, 2023
Oncology | Radiology | Urology Predicting muscle invasion in bladder cancer based on MRI: A comparison of radiomics, and single-task and multi-task deep learning. March 12, 2023
Oncology | Radiology Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction. February 11, 2023
Radiology Usefulness of Breath-Hold Fat-Suppressed T2-Weighted Images With Deep Learning-Based Reconstruction of the Liver: Comparison to Conventional Free-Breathing Turbo Spin Echo. February 2, 2023
Radiology | Urology Prospectively Accelerated T2-Weighted Imaging of the Prostate by Combining Compressed SENSE and Deep Learning in Patients with Histologically Proven Prostate Cancer. December 11, 2022
Radiology Accelerated 3D high-resolution T2-weighted breast MRI with deep learning constrained compressed sensing, comparison with conventional T2-weighted sequence on 3.0 T. October 21, 2022
Gastroenterology | Radiology Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach. May 3, 2022
Radiology Comprehensive clinical evaluation of a deep learning-accelerated, single-breath-hold abdominal HASTE at 1.5 T and 3 T. April 26, 2022