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09/05/2023
A skeletonization algorithm for gradient-based optimization
The skeleton of a digital image is a compact representation of its topol...
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08/26/2023
Bias in Unsupervised Anomaly Detection in Brain MRI
Unsupervised anomaly detection methods offer a promising and flexible al...
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08/17/2023
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space
Motion-resolved reconstruction for abdominal magnetic resonance imaging ...
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07/24/2023
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains
Deep generative models have emerged as influential instruments for data ...
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05/31/2023
Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
The introduction of diffusion models in anomaly detection has paved the ...
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05/11/2023
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review
Motion represents one of the major challenges in magnetic resonance imag...
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03/15/2023
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
Early and accurate disease detection is crucial for patient management a...
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01/23/2023
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study
Background: Deep learning (DL) can extract predictive and prognostic bio...
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09/28/2022
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging
Flow analysis carried out using phase contrast cardiac magnetic resonanc...
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06/08/2022
What do we learn? Debunking the Myth of Unsupervised Outlier Detection
Even though auto-encoders (AEs) have the desirable property of learning ...
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05/02/2022
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis
Cine cardiac magnetic resonance (CMR) imaging is considered the gold sta...
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09/22/2021
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images
Domain shift refers to the difference in the data distribution of two da...
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09/16/2021
Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data
Cine cardiac MRI is routinely acquired for the assessment of cardiac hea...
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08/11/2021
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification
Using publicly available data to determine the performance of methodolog...
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08/10/2021
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data
Convolutional Neural Networks (CNNs) are widely used for image classific...
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06/18/2021
Medical Image Analysis on Left Atrial LGE MRI for Atrial Fibrillation Studies: A Review
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is comm...
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06/16/2021
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs
Left atrial (LA) segmentation from late gadolinium enhanced magnetic res...
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08/27/2020
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information
Deep learning (DL)-based models have demonstrated good performance in me...
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08/11/2020
AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information
Left atrial (LA) and atrial scar segmentation from late gadolinium enhan...
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07/13/2020
Screen Tracking for Clinical Translation of Live Ultrasound Image Analysis Methods
Ultrasound (US) imaging is one of the most commonly used non-invasive im...
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06/23/2020
Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention
We propose an end-to-end deep neural network (DNN) which can simultaneou...
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10/11/2019
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
Segmenting anatomical structures in medical images has been successfully...
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10/11/2019
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentatio
Segmenting anatomical structures in medical images has been successfully...
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10/04/2019
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
We introduce a method for training neural networks to perform image or v...
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09/24/2019
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
AUTOMAP is a promising generalized reconstruction approach, however, it ...
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09/23/2019
Model-Based and Data-Driven Strategies in Medical Image Computing
Model-based approaches for image reconstruction, analysis and interpreta...
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06/14/2019
Global and Local Interpretability for Cardiac MRI Classification
Deep learning methods for classifying medical images have demonstrated i...
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06/12/2019
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space
In fully sampled cardiac MR (CMR) acquisitions, motion can lead to corru...
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05/17/2019
Mechanically Powered Motion Imaging Phantoms: Proof of Concept
Motion imaging phantoms are expensive, bulky and difficult to transport ...
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03/05/2019
FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms
We present a new approach to diffeomorphic non-rigid registration of med...
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01/29/2019
Explicit topological priors for deep-learning based image segmentation using persistent homology
We present a novel method to explicitly incorporate topological prior kn...
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12/19/2018
Magnetic Resonance Fingerprinting using Recurrent Neural Networks
Magnetic Resonance Fingerprinting (MRF) is a new approach to quantitativ...
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10/29/2018
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
Good quality of medical images is a prerequisite for the success of subs...
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08/15/2018
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection
Quality assessment of medical images is essential for complete automatio...
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08/02/2018
Weakly Supervised Localisation for Fetal Ultrasound Images
This paper addresses the task of detecting and localising fetal anatomic...
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07/27/2018
Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas
The availability of large scale databases containing imaging and non-ima...
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07/19/2018
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers
Ultrasound (US) is the most widely used fetal imaging technique. However...
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06/01/2018
Oversegmenting Graphs
We propose a novel method to adapt a graph to image data. The method dri...
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05/26/2017
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
Vasculature is known to be of key biological significance, especially in...
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04/18/2016
