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09/14/2023
Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO)
The extraction of consensus segmentations from several binary or probabi...
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06/07/2022
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
In privacy-preserving machine learning, it is common that the owner of t...
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03/05/2021
Deep reinforcement learning in medical imaging: A literature review
Deep reinforcement learning (DRL) augments the reinforcement learning fr...
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11/03/2020
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix
We propose to learn a probabilistic motion model from a sequence of imag...
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07/31/2019
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI
We propose to learn a probabilistic motion model from a sequence of imag...
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07/03/2019
Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks
Planning of radiotherapy involves accurate segmentation of a large numbe...
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05/23/2019
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments
In this study we propose a deformation-based framework to jointly model ...
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02/28/2019
Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data
We introduce a probabilistic generative model for disentangling spatio-t...
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02/15/2019
Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank
We perform unsupervised analysis of image-derived shape and motion featu...
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12/18/2018
Learning a Probabilistic Model for Diffeomorphic Registration
We propose to learn a low-dimensional probabilistic deformation model fr...
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12/10/2018
Deep Learning with Mixed Supervision for Brain Tumor Segmentation
Most of the current state-of-the-art methods for tumor segmentation are ...
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11/08/2018
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow
We propose a method to classify cardiac pathology based on a novel appro...
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08/20/2018
Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes
Alzheimer's disease (AD) is characterized by complex and largely unknown...
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08/10/2018
Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease
The joint analysis of biomedical data in Alzheimer's Disease (AD) is imp...
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07/23/2018
3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context
We present an efficient deep learning approach for the challenging task ...
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04/25/2018
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation
We propose a method based on deep learning to perform cardiac segmentati...
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04/21/2018
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training
Multiple sclerosis (MS) is a demyelinating disease of the central nervou...
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04/19/2018
Learning Structured Deformations using Diffeomorphic Registration
Studying organ motion or pathology progression is an important task in d...
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03/29/2018
3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation
We present a novel automated method to segment the myocardium of both le...
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10/13/2016