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
∙
03/20/2023
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images
Supervised deep learning methods have achieved considerable success in m...
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
∙
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
∙
09/14/2022
A Transfer Function Design Using A Knowledge Database based on Deep Image and Primitive Intensity Profile Features Retrieval
Transfer function (TF) plays a key role for the generation of direct vol...
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
∙
04/09/2022
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model
A user-generated text on social media enables health workers to keep tra...
research
∙
01/26/2022
Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization
Mixed reality head-mounted displays (mxdR-HMD) have the potential to vis...
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
∙
07/16/2021
Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation
Recent supervised deep learning methods have shown that heart rate can b...
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
∙
07/09/2021
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT
The availability of biomedical text data and advances in natural languag...
research
∙
06/17/2021
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU
Vaccines are an important public health measure, but vaccine hesitancy a...
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
∙
09/19/2020
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition
In recent years, with the growing amount of biomedical documents, couple...
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
∙
09/22/2019
Semi-supervised estimation of event temporal length for cell event detection
Cell event detection in cell videos is essential for monitoring of cellu...
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
∙
07/16/2018
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis
The availability of large-scale annotated image datasets coupled with re...
research
∙
09/07/2017
An unsupervised long short-term memory neural network for event detection in cell videos
We propose an automatic unsupervised cell event detection and classifica...
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
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks
Malignant melanoma has one of the most rapidly increasing incidences in ...
research
∙
09/17/2016
