Neurology | Radiology Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging. January 8, 2024
Pathology | Radiology A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI. July 5, 2023
Neurology | Radiology Deep Constrained Spherical Deconvolution for Robust Harmonization. May 25, 2023
Radiology An unsupervised convolutional neural network method for estimation of intravoxel incoherent motion parameters. October 13, 2022
Nephrology | Radiology A DEEP LEARNING-BASED CAD SYSTEM FOR RENAL ALLOGRAFT ASSESSMENT: DIFFUSION, BOLD, AND CLINICAL BIOMARKERS. November 1, 2021
Radiation Oncology | Radiology A convolutional neural network for contouring metastatic lymph nodes on diffusion-weighted magnetic resonance images for assessment of radiotherapy response. October 12, 2020
Nephrology | Radiology A Multimodal Computer-Aided Diagnostic System for Precise Identification of Renal Allograft Rejection: Preliminary Results. March 4, 2020
Neurology | Radiology Harmonizing 1.5T/3T Diffusion Weighted MRI through Development of Deep Learning Stabilized Microarchitecture Estimators. February 24, 2020
Oncology | Radiology Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer. November 12, 2019
Medical Imaging | Radiology Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI. August 7, 2019
Neurology | Radiology Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI. July 19, 2019
Nephrology | Radiology A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction. April 18, 2019