Radiology Automated selection of abdominal MRI series using a DICOM metadata classifier and selective use of a pixel-based classifier. June 11, 2024
Radiology Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National Cohort. February 2, 2023
Radiation Oncology | Radiology Automatic Contour Refinement for Deep Learning Auto-segmentation of Complex Organs in MRI-guided Adaptive Radiation Therapy. July 18, 2022
Radiology Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity. July 9, 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
Radiology Deep Learning-Based Superresolution Reconstruction for Upper Abdominal Magnetic Resonance Imaging: An Analysis of Image Quality, Diagnostic Confidence, and Lesion Conspicuity. February 24, 2021
Oncology | Radiology Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks. August 4, 2020
Endocrinology | Obesity Medicine | Radiology FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI. October 21, 2019