Follow
Matthias Wilms
Title
Cited by
Cited by
Year
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
4872017
Extra tree forests for sub-acute ischemic stroke lesion segmentation in MR sequences
O Maier, M Wilms, J von der Gablentz, UM Krämer, TF Münte, H Handels
Journal of neuroscience methods 240, 89-100, 2015
1832015
Training CNNs for image registration from few samples with model-based data augmentation
H Uzunova, M Wilms, H Handels, J Ehrhardt
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
1242017
Supervised machine learning tools: a tutorial for clinicians
LL Vercio, K Amador, JJ Bannister, S Crites, A Gutierrez, ME MacDonald, ...
Journal of Neural Engineering 17 (6), 062001, 2020
922020
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge
A Suinesiaputra, P Ablin, X Alba, M Alessandrini, J Allen, W Bai, S Cimen, ...
IEEE journal of biomedical and health informatics 22 (2), 503-515, 2017
872017
Model-based sparse-to-dense image registration for realtime respiratory motion estimation in image-guided interventions
IY Ha, M Wilms, H Handels, MP Heinrich
IEEE Transactions on Biomedical Engineering 66 (2), 302-310, 2018
462018
Multivariate regression approaches for surrogate-based diffeomorphic estimation of respiratory motion in radiation therapy
M Wilms, R Werner, J Ehrhardt, A Schmidt-Richberg, HP Schlemmer, ...
Physics in Medicine & Biology 59 (5), 1147, 2014
372014
Direct visuo-haptic 4D volume rendering using respiratory motion models
D Fortmeier, M Wilms, A Mastmeyer, H Handels
IEEE transactions on haptics 8 (4), 371-383, 2015
362015
Ischemic stroke lesion segmentation in multi-spectral MR images with support vector machine classifiers
O Maier, M Wilms, J von der Gablentz, U Krämer, H Handels
Medical Imaging 2014: Computer-Aided Diagnosis 9035, 21-32, 2014
342014
Multi-resolution multi-object statistical shape models based on the locality assumption
M Wilms, H Handels, J Ehrhardt
Medical image analysis 38, 17-29, 2017
312017
Real-Time Ultrasound Simulation for Training of US-Guided Needle Insertion in Breathing Virtual Patients
A Mastmeyer, M Wilms, D Fortmeier, J Schröder, H Handels
Medicine Meets Virtual Reality 22: NextMed/MMVR22 220, 219, 2016
31*2016
Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions
P Mouches, M Wilms, D Rajashekar, S Langner, ND Forkert
Human brain mapping 43 (8), 2554-2566, 2022
272022
Image features for brain lesion segmentation using random forests
O Maier, M Wilms, H Handels
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
272016
High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly
D Rajashekar, M Wilms, ME MacDonald, J Ehrhardt, P Mouches, ...
Scientific Data 7 (1), 56, 2020
252020
Interpatient respiratory motion model transfer for virtual reality simulations of liver punctures
A Mastmeyer, M Wilms, H Handels
arXiv preprint arXiv:1707.08554, 2017
232017
Fully automatic landmarking of syndromic 3D facial surface scans using 2D images
JJ Bannister, SR Crites, JD Aponte, DC Katz, M Wilms, OD Klein, ...
Sensors 20 (11), 3171, 2020
202020
Population-based respiratory 4D motion atlas construction and its application for VR simulations of liver punctures
A Mastmeyer, M Wilms, H Handels
Medical Imaging 2018: Image Processing 10574, 300-306, 2018
192018
A 4D statistical shape model for automated segmentation of lungs with large tumors
M Wilms, J Ehrhardt, H Handels
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012
192012
Model-based regularisation for respiratory motion estimation with sparse features in image-guided interventions
M Wilms, IY Ha, H Handels, MP Heinrich
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
182016
An analysis of the vulnerability of two common deep learning-based medical image segmentation techniques to model inversion attacks
N Subbanna, M Wilms, A Tuladhar, ND Forkert
Sensors 21 (11), 3874, 2021
152021
The system can't perform the operation now. Try again later.
Articles 1–20