research
∙
06/09/2022
Cardiac Adipose Tissue Segmentation via Image-Level Annotations
Automatically identifying the structural substrates underlying cardiac a...
share
research
∙
06/02/2022
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
Machine learning has been widely adopted for medical image analysis in r...
research
∙
06/14/2021
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans
Unsupervised learning-based medical image registration approaches have w...
research
∙
01/31/2021
Co-Seg: An Image Segmentation Framework Against Label Corruption
Supervised deep learning performance is heavily tied to the availability...
research
∙
06/26/2020
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling
Machine learning has been widely adopted for medical image analysis in r...
research
∙
02/02/2020
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention
Three-dimensional late gadolinium enhanced (LGE) cardiac MR (CMR) of lef...
research
∙
11/19/2019
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction
Gliomas are the most common malignant brain tumourswith intrinsic hetero...
research
∙
08/28/2019
Transfer Learning from Partial Annotations for Whole Brain Segmentation
Brain MR image segmentation is a key task in neuroimaging studies. It is...
research
∙
02/06/2019
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only
Chronic Pulmonary Aspergillosis (CPA) is a complex lung disease caused b...
research
∙
06/12/2018
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation
Late Gadolinium Enhanced Cardiac MRI (LGE-CMRI) for detecting atrial sca...
research
∙
04/29/2010