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Differentiable Deconvolution for Improved Stroke Perfusion Analysis


Mar 31, 2021
Ezequiel de la Rosa, David Robben, Diana M. Sima, Jan S. Kirschke, Bjoern Menze

* International Conference on Medical Image Computing and Computer-Assisted Intervention 2020 Oct 4 (pp. 593-602) 
* Accepted at MICCAI 2020 

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An augmentation strategy to mimic multi-scanner variability in MRI


Mar 23, 2021
Maria Ines Meyer, Ezequiel de la Rosa, Nuno Barros, Roberto Paolella, Koen Van Leemput, Diana M. Sima

* 5 pages, 2 figures. accepted for presentation at the International Symposium on Biomedical Imaging (ISBI) 2021. Code available at https://github.com/icometrix/gmm-augmentation 

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Unsupervised 3D Brain Anomaly Detection


Oct 09, 2020
Jaime Simarro Viana, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana M. Sima

* Accepted at BrainLes Workshop in MICCAI 2020 

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AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning


Oct 04, 2020
Ezequiel de la Rosa, Diana M. Sima, Bjoern Menze, Jan S. Kirschke, David Robben

* Preprint submitted to Elsevier 

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Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data


Feb 03, 2020
Mattias Billast, Maria Ines Meyer, Diana M. Sima, David Robben

* MICCAI BrainLes 2019 Workshop 

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Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors


Nov 08, 2019
Maria Ines Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana M. Sima

* OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging. OR 2.0 2019, MLCN 2019. Lecture Notes in Computer Science, vol 11796. Springer, Cham 
* 9 pages, 4 figures. Presented at the International Workshop on Machine Learning in Clinical Neuroimaging (MLCN) 2019 

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A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans


Nov 14, 2018
Ezequiel de la Rosa, Diana M. Sima, Thijs Vande Vyvere, Jan S. Kirschke, Bjoern Menze

* Submitted to ISBI 2019 

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