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2020 – today
- 2023
[j3]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023)- 2022
- [c11]Leon Weninger, Jarek Ecke, Chuh-Hyoun Na, Kerstin Jütten, Dorit Merhof:
Diffusion MRI Specific Pretraining by Self-supervision on an Auxiliary Dataset. Bildverarbeitung für die Medizin 2022: 147-152 - [c10]Leon Weninger, Sandro Romanzetti, Julia Ebert, Kathrin Reetz, Dorit Merhof:
Harmonization of Diffusion MRI Data Obtained with Multiple Head Coils Using Hybrid CNNs. ECCV Workshops (7) 2022: 385-396 - [c9]Leon Weninger, Mushawar Ahmad, Dorit Merhof:
From Supervised to Unsupervised Harmonization of Diffusion Mri Acquisitions. ISBI 2022: 1-5 - 2021
- [c8]Leon Weninger, Maxim Drobjazko, Chuh-Hyoun Na, Kerstin Jütten, Dorit Merhof:
Autoencoder-based Quality Assessment for Synthetic Diffusion-MRI Data. Bildverarbeitung für die Medizin 2021: 338-343 - [c7]Leon Weninger, Andre Gilerson, Dorit Merhof:
Improving Localization of Brain Tumors through 3D GAN Inpainting. EMBC 2021: 2651-2654 - 2020
- [j2]Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart, Stefano B. Blumberg, Can Son Khoo, Marco Palombo, Iasonas Kokkinos, Daniel C. Alexander, Jaume Coll-Font, Benoit Scherrer, Simon K. Warfield, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger, Chantal M. W. Tax:
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. NeuroImage 221: 117128 (2020) - [c6]Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis Based on Probabilistic Segmentations. ISBI 2020: 1188-1192 - [i3]Oliver Rippel, Leon Weninger, Dorit Merhof:
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018. CoRR abs/2005.09978 (2020)
2010 – 2019
- 2019
- [j1]Leon Weninger, Christoph Haarburger, Dorit Merhof:
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status. Frontiers Comput. Neurosci. 13: 73 (2019) - [c5]Leon Weninger, Qianyu Liu, Dorit Merhof:
Multi-task Learning for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2019: 327-337 - [c4]Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Feuerhake, Julia Schüler, Johannes Stegmaier, Dorit Merhof:
Combined Learning for Similar Tasks with Domain-Switching Networks. MICCAI (5) 2019: 565-572 - [c3]Leon Weninger, Imke Krauhausen, Dorit Merhof:
Semantic Segmentation of Brain Tumors in MRI Data Without any Labels. VCBM 2019: 45-49 - [i2]Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis based on Probabilistic Segmentations. CoRR abs/1910.05693 (2019) - [i1]Ahmed Hosny, Michael Schwier, Christoph Berger, Evin Pinar Örnek, Mehmet Turan, Phi V. Tran, Leon Weninger, Fabian Isensee, Klaus H. Maier-Hein, Richard McKinley, Michael T. Lu, Udo Hoffmann, Bjoern H. Menze, Spyridon Bakas, Andriy Fedorov, Hugo J. W. L. Aerts:
ModelHub.AI: Dissemination Platform for Deep Learning Models. CoRR abs/1911.13218 (2019) - 2018
- [c2]Leon Weninger, Marcin Kopaczka, Dorit Merhof:
Defect detection in plain weave fabrics by yarn tracking and fully convolutional networks. I2MTC 2018: 1-6 - [c1]Leon Weninger, Oliver Rippel, Simon Koppers, Dorit Merhof:
Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge. BrainLes@MICCAI (2) 2018: 3-12
Coauthor Index
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