research
∙
03/15/2022
A Noise-level-aware Framework for PET Image Denoising
In PET, the amount of relative (signal-dependent) noise present in diffe...
share
research
∙
10/28/2021
Dispensed Transformer Network for Unsupervised Domain Adaptation
Accurate segmentation is a crucial step in medical image analysis and ap...
research
∙
09/30/2021
GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation
To achieve an accurate assessment of root canal therapy, a fundamental s...
research
∙
05/02/2021
Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy
Objective: Accurate evaluation of the root canal filling result in X-ray...
research
∙
03/04/2021
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference
The MICCAI conference has encountered tremendous growth over the last ye...
research
∙
12/23/2020
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation
Unsupervised domain adaptation (UDA) for cross-modality medical image se...
research
∙
04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
research
∙
02/21/2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Knowledge of whole heart anatomy is a prerequisite for many clinical app...
research
∙
12/24/2018
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images
Convolutional Neural Networks (CNNs) have achieved state-of-the-art perf...
research
∙
12/05/2017
Fully Automatic Segmentation of Lumbar Vertebrae from CT Images using Cascaded 3D Fully Convolutional Networks
We present a method to address the challenging problem of segmentation o...
research
∙
11/28/2017