Neurology | Neuroscience TractoSCR: a novel supervised contrastive regression framework for prediction of neurocognitive measures using multi-site harmonized diffusion MRI tractography. July 11, 2024
Neurology | Radiology Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. May 3, 2024
Cognitive Psychology | Neurology | Radiology TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. March 8, 2024
Epileptology | Neurology Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications. November 29, 2023
Neurology | Radiology High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions. September 28, 2023
Medical Imaging | Neurology Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning. June 5, 2023
Neurology | Neurosurgery Deep Fiber Clustering: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation. April 5, 2023
Neurology | Radiology Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions. January 27, 2023
Biomedical imaging | Pathology | Radiology Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images. January 15, 2021
Medical Imaging | Neurosurgery | Radiology Deep Learning Methodology for Differentiating Glioma Recurrence From Radiation Necrosis Using Multimodal Magnetic Resonance Imaging: Algorithm Development and Validation. November 17, 2020
Oncology | Radiology | Urology 3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images. July 11, 2019