Madeline Hess Research Data Analyst madeline.hess@ucsf.edu UCSF Profile Research Lab Quantitative Biomarkers and Artificial Intelligence in Musculoskeletal Imaging Publications Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts. Deep Learning for Multi-Tissue Segmentation and Fully Automatic Personalized Biomechanical Models from BACPAC Clinical Lumbar Spine MRI. Technology and Tool Development for BACPAC: Qualitative and Quantitative Analysis of Accelerated Lumbar Spine MRI with Deep-Learning Based Image Reconstruction at 3T. Thresholding approaches for estimating paraspinal muscle fat infiltration using T1- and T2-weighted MRI: Comparative analysis using water-fat MRI. Automatic detection and voxel-wise mapping of lumbar spine Modic changes with deep learning. See All Publications
