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07/31/2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging
As machine learning methods gain prominence within clinical decision-mak...
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05/09/2023
Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query
We introduce a novel Region-based contrastive pretraining for Medical Im...
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01/11/2023
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Self-supervised learning in vision-language processing exploits semantic...
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04/21/2022
Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing
Multi-modal data abounds in biomedicine, such as radiology images and re...
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07/22/2019
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration
Image registration with deep neural networks has become an active field ...
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06/28/2019
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling
Quantification of anatomical shape changes still relies on scalar global...
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01/27/2019
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study
Background: The trend towards large-scale studies including population i...
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10/03/2018
A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks
In the clinical routine, short axis (SA) cine cardiac MR (CMR) image sta...
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08/22/2018
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
We propose a novel attention gate (AG) model for medical image analysis ...
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08/01/2018
Recurrent neural networks for aortic image sequence segmentation with sparse annotations
Segmentation of image sequences is an important task in medical image an...
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07/18/2018
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling
Alterations in the geometry and function of the heart define well-establ...
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06/28/2018
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
Deep learning approaches have shown promising performance for compressed...
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06/16/2018
Real-time Prediction of Segmentation Quality
Recent advances in deep learning based image segmentation methods have e...
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06/08/2018
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents
We propose a fully automatic method to find standardized view planes in ...
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04/15/2018
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection
In this work, we apply an attention-gated network to real-time automated...
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04/11/2018
Attention U-Net: Learning Where to Look for the Pancreas
We propose a novel attention gate (AG) model for medical imaging that au...
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03/25/2018
Learning-Based Quality Control for Cardiac MR Images
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depe...
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01/29/2018
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
Deep convolutional neural networks (DCNN) are currently ubiquitous in me...
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10/25/2017
Human-level CMR image analysis with deep fully convolutional networks
Cardiovascular magnetic resonance (CMR) imaging is a standard imaging mo...
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05/22/2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
Incorporation of prior knowledge about organ shape and location is key t...
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02/28/2017
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging
3D Magnetic Resonance Imaging (MRI) is often a trade-off between fast bu...
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06/03/2016
Learning under Distributed Weak Supervision
The availability of training data for supervision is a frequently encoun...
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05/25/2016
