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ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI
Frontiers in Neurology, 9, 679, 2018
Enabling on-Demand Features for Decision Forests - An Approach to Lesion Segmentation in MR Volumes
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 215-218, 2015
Image processing of pulmonary radiography of pediatric patients to assess tuberculosis or pneumonia for the application in diagnosis in low- and middle-income countries
In: (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 199-202, 2016
Extra Tree forests for sub-acute ischemic stroke lesion segmentation in MR sequences
Journal of Neuroscience Methods, 240, 89-100, 2015

Random Forests with Selected Features for Stroke Lesion Segmentation
In: MICCAI Challenge on Ischemic Stroke Lesion Segmentation, ISLES 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, 17-22, 2015
Segmentierung von ischämischen Schlaganfall-Läsionen in multispektralen MR-Bildern mit Random Decision Forests
In: (eds.), Bildverarbeitung für die Medizin 2014, Aachen, Informatik aktuell, Springer, Berlin Heidelberg, 156-161, 2014
Local Problem Forests: Classifier Training for Locally Limited Sub-Problems Using Spectral Clustering
In: 2015 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2015, New York, IEEE Proceedings, The Printing House, 806-809, 2015
Image Features for Brain Lesion Segmentation Using Random Forests
In: (eds.), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Brainles 2015), München, Lecture Notes in Computer Science, Springer International Publishing, 9556, 119-130, 2016
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study
PLOS ONE, 10, 12, e0145118, 2015
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
Medical Image Analysis, 35, 250-269, 2017

MS lesion segmentation in MRI with random forests
Proc. 2015 Longitudinal Multiple Sclerosis Lesion Segmentation Challenge, 1-2, 2015
Ischemic Stroke Lesion Segmentation in Multi-Spectral MR Images with Support Vector Machine Classifiers
In: (eds.), SPIE Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, California, USA, SPIE, 9035, 903504-903504-12, 2014
Shallow fully-connected neural networks for ischemic stroke-lesion segmentation in MRI
In: (eds.), Bildverarbeitung in der Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 261-266, 2017
Automatische Detektion von Okklusionen zerebraler Arterien in 3D-Magnetresonanzangiographiedaten
In: (eds.), Bildverarbeitung für die Medizin 2015, Lübeck, Informatik aktuell, Springer, Berlin Heidelberg, 17-22, 2015
Multi-modal Multi-Atlas Segmentation using Discrete Optimisation and Self-Similarities
In: VISCERAL Anatomy3 Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging - ISBI 2015, Procceedings, VISCERAL@ISBI 2015, CEUR-WS.org, 2015

Ischemic Stroke Lesion Segmentation - Setup of a Challenge
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 219-222, 2015
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, First International Workshop, Brainles 2015, Held in Conjuction with MICCAI 2015, Springer International Publishing, München, 2016
Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
NeuroImage, 148, 77-102, 2017
Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis
Scientific Reports, 10, 1, 1-19, 2020