research
∙
11/10/2022
SETGen: Scalable and Efficient Template Generation Framework for Groupwise Medical Image Registration
Template generation is a crucial step of groupwise image registration wh...
share
research
∙
10/20/2022
Robust Image Registration with Absent Correspondences in Pre-operative and Follow-up Brain MRI Scans of Diffuse Glioma Patients
Registration of pre-operative and follow-up brain MRI scans is challengi...
research
∙
06/08/2022
Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans
Registration of pre-operative and post-recurrence brain images is often ...
research
∙
03/29/2022
Affine Medical Image Registration with Coarse-to-Fine Vision Transformer
Affine registration is indispensable in a comprehensive medical image re...
research
∙
12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
research
∙
06/23/2021
Conditional Deformable Image Registration with Convolutional Neural Network
Recent deep learning-based methods have shown promising results and runt...
research
∙
09/06/2020
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction
There is a rising need for computational models that can complementarily...
research
∙
06/29/2020
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks
Deep learning-based methods have recently demonstrated promising results...
research
∙
03/20/2020
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks
Diffeomorphic deformable image registration is crucial in many medical i...
research
∙
09/16/2019
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning
Despite deep convolutional neural networks boost the performance of imag...
research
∙
07/29/2019
A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation
When introducing advanced image computing algorithms, e.g., whole-heart ...
research
∙
08/31/2018
A Unified Mammogram Analysis Method via Hybrid Deep Supervision
Automatic mammogram classification and mass segmentation play a critical...
research
∙
06/06/2018
Deep supervision with additional labels for retinal vessel segmentation task
Automatic analysis of retinal blood images is of vital importance in dia...
research
∙
05/29/2018
Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks
There is a common belief that the successful training of deep neural net...
research
∙
11/11/2017
3D Randomized Connection Network with Graph-based Label Inference
In this paper, a novel 3D deep learning network is proposed for brain MR...
research
∙
10/24/2016