Neurology | Neurosurgery | Radiology DORIS: A diffusion MRI-based 10 tissue class deep learning segmentation algorithm tailored to improve anatomically-constrained tractography. August 9, 2023
Neuroimaging | Neurology | Radiology Manifold-aware synthesis of high-resolution diffusion from structural imaging. August 9, 2023
Aging | Neurology | Neurosurgery FIESTA: Autoencoders for accurate fiber segmentation in tractography. July 26, 2023
Neurology | Neurosurgery | Radiology Generative Sampling in Bundle Tractography using Autoencoders (GESTA). February 11, 2023
Artificial Intelligence | Oncology | Radiology ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. January 27, 2022
Neurology | Neurosurgery | Radiology Track-to-Learn: A general framework for tractography with deep reinforcement learning. May 23, 2021
Cardiology | Radiology LU-Net: a multi-stage attention network to improve the robustness of segmentation of left ventricular structures in 2D echocardiography. August 3, 2020
Cardiology | Radiology Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? April 2, 2019
Cardiology Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography. March 5, 2019
Computer Vision | Traffic Engineering MIO-TCD: A new benchmark dataset for vehicle classification and localization. July 11, 2018