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
∙
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
∙
10/28/2022
Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features
[18F]-Fluorodeoxyglucose (FDG) positron emission tomography - computed t...
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
∙
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
∙
09/16/2021
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT
Nasopharyngeal Carcinoma (NPC) is a worldwide malignant epithelial cance...
research
∙
06/09/2021
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation
Sequential whole-body 18F-Fluorodeoxyglucose (FDG) positron emission tom...
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
∙
04/01/2021
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images
The identification of melanoma involves an integrated analysis of skin l...
research
∙
03/09/2021
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics
Deep Learning-based Radiomics (DLR) has achieved great success on medica...
research
∙
03/09/2021
Enhancing Medical Image Registration via Appearance Adjustment Networks
Deformable image registration is fundamental for many medical image anal...
research
∙
03/05/2021
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT
Accurate characterisation of visual attributes such as spiculation, lobu...
research
∙
07/29/2020
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation
Multimodal positron emission tomography-computed tomography (PET-CT) is ...
research
∙
07/29/2020
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images
Objective: The accurate classification of mass lesions in the adrenal gl...
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
∙
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
∙
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
∙
07/31/2017
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