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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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01/31/2023
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion
Cross-modality data translation has attracted great interest in image co...
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11/21/2022
Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers
Image registration is an essential but challenging task in medical image...
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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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04/09/2022
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning
Recently, super-resolution ultrasound imaging with ultrasound localizati...
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12/22/2021
Geodesic squared exponential kernel for non-rigid shape registration
This work addresses the problem of non-rigid registration of 3D scans, w...
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05/05/2021
Attention for Image Registration (AiR): an unsupervised Transformer approach
Image registration as an important basis in signal processing task often...
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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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09/02/2020
Quasi-symplectic Langevin Variational Autoencoder
Variational autoencoder (VAE) as one of the well investigated generative...
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05/26/2020
A Deep Learning based Fast Signed Distance Map Generation
Signed distance map (SDM) is a common representation of surfaces in medi...
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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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07/03/2019
Robust Cochlear Modiolar Axis Detection in CT
The cochlea, the auditory part of the inner ear, is a spiral-shaped orga...
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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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02/15/2019
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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12/06/2018
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss
Radiological imaging offers effective measurement of anatomy, which is u...
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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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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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04/19/2018
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