research
∙
04/27/2023
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-Net
Atrial fibrillation (AF) is the most common cardiac arrhythmia. Accurate...
share
research
∙
04/07/2023
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model
Image segmentation is a fundamental task in the field of imaging and vis...
research
∙
03/22/2022
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
Multiple instance learning (MIL) has been increasingly used in the class...
research
∙
03/09/2022
3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs
In this paper, we propose a novel multi-level aggregation network to reg...
research
∙
03/08/2022
Counting with Adaptive Auxiliary Learning
This paper proposes an adaptive auxiliary task learning based approach f...
research
∙
10/27/2021
BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation
Segmentation is an essential operation of image processing. The convolut...
research
∙
07/28/2021
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
Semi-supervised approaches for crowd counting attract attention, as the ...
research
∙
02/26/2021
3D Vessel Reconstruction in OCT-Angiography via Depth Map Estimation
Optical Coherence Tomography Angiography (OCTA) has been increasingly us...
research
∙
11/01/2020
Learning Euler's Elastica Model for Medical Image Segmentation
Image segmentation is a fundamental topic in image processing and has be...
research
∙
10/15/2020
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
Automated detection of curvilinear structures, e.g., blood vessels or ne...
research
∙
07/10/2020
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
Optical Coherence Tomography Angiography (OCT-A) is a non-invasive imagi...
research
∙
07/10/2020