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06/14/2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Magnetic resonance imaging (MRI) is a central modality for stroke imagin...
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06/06/2021
Deep Learning-based Type Identification of Volumetric MRI Sequences
The analysis of Magnetic Resonance Imaging (MRI) sequences enables clini...
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04/12/2021
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is increasing at an eno...
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01/02/2021
Combining unsupervised and supervised learning for predicting the final stroke lesion
Predicting the final ischaemic stroke lesion provides crucial informatio...
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10/07/2020
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
Background and Objective: Deep learning enables tremendous progress in m...
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08/10/2020
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
Magnetic resonance fingerprinting (MRF) enables fast and multiparametric...
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11/09/2019
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting
Magnetic resonance fingerprinting (MRF) provides a unique concept for si...
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09/26/2019
Dual-Stream Pyramid Registration Network
We propose a Dual-Stream Pyramid Registration Network (referred as Dual-...
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07/07/2019
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
Despite the recent improvements in overall accuracy, deep learning syste...
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06/05/2019
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation
Volumetric image segmentation with convolutional neural networks (CNNs) ...
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04/05/2019
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
The detection of new or enlarged white-matter lesions in multiple sclero...
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04/04/2019
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks
In applications of supervised learning applied to medical image segmenta...
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01/22/2019
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks
Segmentation of both white matter lesions and deep grey matter structure...
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11/12/2018
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction
Deep learning for regression tasks on medical imaging data has shown pro...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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09/25/2018
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment
Glioblastoma Multiforme is a high grade, very aggressive, brain tumor, w...
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07/17/2018
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks
Magnetic resonance fingerprinting (MRF) quantifies multiple nuclear magn...
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06/14/2018
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network
Training robust deep learning (DL) systems for medical image classificat...
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06/12/2018
Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction
Stroke is the second most common cause of death in developed countries, ...
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06/08/2018
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation
Uncertainty estimates of modern neuronal networks provide additional inf...
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06/07/2018
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation
Uncertainty estimation methods are expected to improve the understanding...
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03/01/2017