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08/03/2023
Explainable unsupervised multi-modal image registration using deep networks
Clinical decision making from magnetic resonance imaging (MRI) combines ...
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07/24/2023
Is attention all you need in medical image analysis? A review
Medical imaging is a key component in clinical diagnosis, treatment plan...
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03/07/2022
Unsupervised Image Registration Towards Enhancing Performance and Explainability in Cardiac And Brain Image Analysis
Magnetic Resonance Imaging (MRI) typically recruits multiple sequences (...
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12/09/2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images
The world is currently experiencing an ongoing pandemic of an infectious...
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09/05/2020
Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling
Automatic segmentation of multi-sequence (multi-modal) cardiac MR (CMR) ...
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08/05/2020
Annealing Genetic GAN for Minority Oversampling
The key to overcome class imbalance problems is to capture the distribut...
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06/23/2020
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness
The performance of traditional compressive sensing-based MRI (CS-MRI) re...
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12/04/2019
Learning to synthesise the ageing brain without longitudinal data
Brain ageing is a continuous process that is affected by many factors in...
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11/11/2019
Disentangle, align and fuse for multimodal and zero-shot image segmentation
Magnetic resonance (MR) protocols rely on several sequences to properly ...
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07/24/2019
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation
Multi-view echocardiographic sequences segmentation is crucial for clini...
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07/11/2019
FIRE: Unsupervised bi-directional inter-modality registration using deep networks
Inter-modality image registration is an critical preprocessing step for ...
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02/21/2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Knowledge of whole heart anatomy is a prerequisite for many clinical app...
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08/12/2018
Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks
Recently, the cycle-consistent generative adversarial networks (CycleGAN...
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04/12/2018
A two-stage 3D Unet framework for multi-class segmentation on full resolution image
Deep convolutional neural networks (CNNs) have been intensively used for...
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03/20/2018
