Hepatology | Oncology | Radiology Improving detection performance of hepatocellular carcinoma and interobserver agreement for liver imaging reporting and data system on CT using deep learning reconstruction. February 9, 2023
Orthopedics | Radiology Acceleration of knee magnetic resonance imaging using a combination of compressed sensing and commercially available deep learning reconstruction: a preliminary study. January 9, 2023
Orthopedics | Radiology Deep learning reconstruction for the evaluation of neuroforaminal stenosis using 1.5T cervical spine MRI: comparison with 3T MRI without deep learning reconstruction. August 2, 2022
Orthopedics | Radiology Commercially Available Deep-learning-reconstruction of MR Imaging of the Knee at 1.5T Has Higher Image Quality Than Conventionally-reconstructed Imaging at 3T: A Normal Volunteer Study. July 10, 2022
Oncology | Radiology | Urology Feasibility of accelerated whole-body diffusion-weighted imaging using a deep learning-based noise-reduction technique in patients with prostate cancer. June 30, 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 Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes. March 29, 2022
Neuroradiology | Radiology Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography. December 1, 2021
Gastroenterology | Radiology Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique. October 9, 2021
Neurology | Radiology Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study. July 2, 2019