research
∙
02/07/2023
Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation
Myocardial pathology segmentation (MyoPS) is critical for the risk strat...
share
research
∙
08/26/2022
Multi-Modality Cardiac Image Computing: A Survey
Multi-modality cardiac imaging plays a key role in the management of pat...
research
∙
08/08/2022
Multi-Depth Boundary-Aware Left Atrial Scar Segmentation Network
Automatic segmentation of left atrial (LA) scars from late gadolinium en...
research
∙
09/05/2021
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition
Right ventricular (RV) segmentation from magnetic resonance imaging (MRI...
research
∙
05/16/2021
Unsupervised MMRegNet based on Spatially Encoded Gradient Information
Multi-modality medical images can provide relevant and complementary ana...
research
∙
02/22/2021
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation
Background and Objective:Computer-aided diagnosis (CAD) systems promote ...
research
∙
10/29/2020
Brain Tumor Segmentation Network Using Attention-based Fusion and Spatial Relationship Constraint
Delineating the brain tumor from magnetic resonance (MR) images is criti...
research
∙
08/27/2020
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information
Deep learning (DL)-based models have demonstrated good performance in me...
research
∙
08/15/2020
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks
Both image registration and label fusion in the multi-atlas segmentation...
research
∙
08/13/2020