research
∙
09/11/2023
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration
Deformable image registration aims to find a dense non-linear spatial co...
share
research
∙
07/07/2023
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer
Survival prediction is crucial for cancer patients as it provides early ...
research
∙
07/07/2023
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
Image registration is a fundamental requirement for medical image analys...
research
∙
05/17/2023
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images
Survival prediction is a major concern for cancer management. Deep survi...
research
∙
04/03/2023
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images
Positron emission tomography (PET) is the most sensitive molecular imagi...
research
∙
02/10/2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Over the last decade, supervised deep learning on manually annotated big...
research
∙
11/15/2022
Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision
In this study, we focus on brain tumor sequence registration between pre...
research
∙
11/10/2022
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer
Outcome prediction is crucial for head and neck cancer patients as it ca...
research
∙
09/16/2022
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images
Multi-modality Fluorodeoxyglucose (FDG) positron emission tomography / c...
research
∙
06/25/2022
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning
Deformable image registration is a crucial step in medical image analysi...
research
∙
05/24/2022
Unsupervised Difference Learning for Noisy Rigid Image Alignment
Rigid image alignment is a fundamental task in computer vision, while th...
research
∙
09/30/2021
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images
Motion estimation is a fundamental step in dynamic medical image process...
research
∙
07/11/2021
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation
The segmentation of medical images is a fundamental step in automated cl...
research
∙
04/23/2021
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning
Distant metastases (DM) refer to the dissemination of tumors, usually, b...
research
∙
07/12/2020
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search
'Radiomics' is a method that extracts mineable quantitative features fro...
research
∙
02/28/2020
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image
Dynamic medical imaging is usually limited in application due to the lar...
research
∙
09/21/2019
IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes
Generative adversarial networks (GANs) have demonstrated great success i...
research
∙
06/07/2019
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification
Medical image analysis using supervised deep learning methods remains pr...
research
∙
03/15/2019
Unsupervised Deep Transfer Feature Learning for Medical Image Classification
The accuracy and robustness of image classification with supervised deep...
research
∙
02/13/2019
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks
Automated segmentation of the optic cup and disk on retinal fundus image...
research
∙
10/05/2018
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
The analysis of multi-modality positron emission tomography and computed...
research
∙
07/23/2018
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation
Segmentation of skin lesions is considered as an important step in compu...
research
∙
07/23/2018
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Argumentation
Segmentation of skin lesions is considered as an important step in compu...
research
∙
07/18/2018
3D Global Convolutional Adversarial Network for Prostate MR Volume Segmentation
Advanced deep learning methods have been developed to conduct prostate M...
research
∙
07/16/2018
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis
The availability of large-scale annotated image datasets coupled with re...
research
∙
07/31/2017
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)
Positron emission tomography (PET) image synthesis plays an important ro...
research
∙
04/10/2017
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
Automatic segmentation of liver lesions is a fundamental requirement tow...
research
∙
03/12/2017
