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09/11/2023
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration
Deformable image registration aims to find a dense non-linear spatial co...
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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 ...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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10/28/2022
Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features
[18F]-Fluorodeoxyglucose (FDG) positron emission tomography - computed t...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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06/09/2021
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation
Sequential whole-body 18F-Fluorodeoxyglucose (FDG) positron emission tom...
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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...
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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...
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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...
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03/09/2021
Enhancing Medical Image Registration via Appearance Adjustment Networks
Deformable image registration is fundamental for many medical image anal...
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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...
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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...
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07/29/2020
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation
Multimodal positron emission tomography-computed tomography (PET-CT) is ...
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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...
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07/12/2020
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search
'Radiomics' is a method that extracts mineable quantitative features fro...
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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...
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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...
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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...
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03/15/2019
Unsupervised Deep Transfer Feature Learning for Medical Image Classification
The accuracy and robustness of image classification with supervised deep...
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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...
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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...
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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...
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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...
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07/16/2018
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis
The availability of large-scale annotated image datasets coupled with re...
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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...
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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...
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04/10/2017
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
Automatic segmentation of liver lesions is a fundamental requirement tow...
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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 ...
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09/17/2016