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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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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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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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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
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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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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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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07/18/2018
3D Global Convolutional Adversarial Network for Prostate MR Volume Segmentation
Advanced deep learning methods have been developed to conduct prostate M...
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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