| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1770 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 933 | 2023 |
| Segmentation of brain tumors and patient survival prediction: Methods for the brats 2018 challenge L Weninger, O Rippel, S Koppers, D Merhof Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 89 | 2019 |
| Radiomics feature reproducibility under inter-rater variability in segmentations of CT images C Haarburger, G Müller-Franzes, L Weninger, C Kuhl, D Truhn, D Merhof Scientific reports 10 (1), 12688, 2020 | 88 | 2020 |
| Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ... Neuroimage 221, 117128, 2020 | 56 | 2020 |
| Multi-task learning for brain tumor segmentation L Weninger, Q Liu, D Merhof Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 32 | 2020 |
| Robustness of radiomics for survival prediction of brain tumor patients depending on resection status L Weninger, C Haarburger, D Merhof Frontiers in computational neuroscience 13, 73, 2019 | 25 | 2019 |
| Modelhub. ai: Dissemination platform for deep learning models A Hosny, M Schwier, C Berger, EP Örnek, M Turan, PV Tran, L Weninger, ... arXiv preprint arXiv:1911.13218, 2019 | 21 | 2019 |
| Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): progress and results L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ... Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain …, 2019 | 20 | 2019 |
| Defect detection in plain weave fabrics by yarn tracking and fully convolutional networks L Weninger, M Kopaczka, D Merhof 2018 IEEE International Instrumentation and Measurement Technology …, 2018 | 19 | 2018 |
| Dissociation of structural and functional connectomic coherence in glioma patients K Jütten, L Weninger, V Mainz, S Gauggel, F Binkofski, M Wiesmann, ... Scientific Reports 11 (1), 16790, 2021 | 16 | 2021 |
| Information content of brain states is explained by structural constraints on state energetics L Weninger, P Srivastava, D Zhou, JZ Kim, EJ Cornblath, MA Bertolero, ... Physical Review E 106 (1), 014401, 2022 | 10 | 2022 |
| Analyzing the effects of free water modeling by deep learning on diffusion MRI structural connectivity estimates in glioma patients L Weninger, CH Na, K Jütten, D Merhof PLoS One 15 (9), e0239475, 2020 | 9 | 2020 |
| Radiomic feature stability analysis based on probabilistic segmentations C Haarburger, J Schock, D Truhn, P Weitz, G Mueller-Franzes, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1188-1192, 2020 | 8 | 2020 |
| Free-Water Correction in Diffusion MRI: A Reliable and Robust Learning Approach L Weninger, S Koppers, CH Na, K Juetten, D Merhof MICCAI Workshop on Computational Diffusion MRI (CDMRI), 2019 | 7 | 2019 |
| From supervised to unsupervised harmonization of diffusion MRI acquisitions L Weninger, M Ahmad, D Merhof 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 4 | 2022 |
| Harmonization of diffusion MRI data obtained with multiple head coils using hybrid CNNs L Weninger, S Romanzetti, J Ebert, K Reetz, D Merhof ECCV AIMIA, 2022 | 3 | 2022 |
| AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018 O Rippel, L Weninger, D Merhof arXiv preprint arXiv:2005.09978, 2020 | 3 | 2020 |
| Cross-scanner and cross-protocol harmonisation of multi-shell diffusion MRI data: open challenge and evaluation results L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ... | 3 | 2019 |
| Diffusion MRI specific pretraining by self-supervision on an auxiliary dataset L Weninger, J Ecke, CH Na, K Jütten, D Merhof Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | 2 | 2022 |
