| 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 | 859 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 359 | 2019 |
| Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks PF Christ, F Ettlinger, F Grün, MEA Elshaera, J Lipkova, S Schlecht, ... arXiv preprint arXiv:1702.05970, 2017 | 295 | 2017 |
| AI-based pathology predicts origins for cancers of unknown primary MY Lu, TY Chen, DFK Williamson, M Zhao, M Shady, J Lipkova, ... Nature 594 (7861), 106-110, 2021 | 89 | 2021 |
| Analysis of Brownian dynamics simulations of reversible bimolecular reactions J Lipková, KC Zygalakis, SJ Chapman, R Erban SIAM Journal on Applied Mathematics 71 (3), 714-730, 2011 | 82 | 2011 |
| Automated whole-body bone lesion detection for multiple myeloma on 68Ga-pentixafor PET/CT imaging using deep learning methods L Xu, G Tetteh, J Lipkova, Y Zhao, H Li, P Christ, M Piraud, A Buck, K Shi, ... Contrast media & molecular imaging 2018, 2018 | 80 | 2018 |
| Personalized radiotherapy design for glioblastoma: Integrating mathematical tumor models, multimodal scans, and bayesian inference J Lipková, P Angelikopoulos, S Wu, E Alberts, B Wiestler, C Diehl, ... IEEE transactions on medical imaging 38 (8), 1875-1884, 2019 | 65 | 2019 |
| Identifying the best machine learning algorithms for brain tumor segmentation S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... Progression Assessment, and Overall Survival Prediction in the BRATS …, 2018 | 64 | 2018 |
| The Art of Theoretical Biology F Matthäus, S Matthäus, S Harris, T Hillen Springer, 2020 | 39 | 2020 |
| BraTS Toolkit: translating BraTS brain tumor segmentation algorithms into clinical and scientific practice F Kofler, C Berger, D Waldmannstetter, J Lipkova, I Ezhov, G Tetteh, ... Frontiers in neuroscience, 125, 2020 | 28 | 2020 |
| CXCR4-targeted PET imaging of central nervous system B-cell lymphoma P Herhaus, J Lipkova, F Lammer, I Yakushev, T Vag, J Slotta-Huspenina, ... Journal of Nuclear Medicine 61 (12), 1765-1771, 2020 | 22 | 2020 |
| Lits-liver tumor segmentation challenge P Christ, F Ettlinger, F Grün, J Lipkova, G Kaissis ISBI and MICCAI, 2017 | 19 | 2017 |
| Predicting glioblastoma recurrence from preoperative MR scans using fractional-anisotropy maps with free-water suppression MC Metz, M Molina-Romero, J Lipkova, J Gempt, F Liesche-Starnecker, ... Cancers 12 (3), 728, 2020 | 17 | 2020 |
| Importance of the assessment of coenzyme Q10, alpha-tocopherol and oxidative stress for the diagnosis and therapy of infertility in men. A Gvozdjakova, J Kucharska, J Lipkova, B Bartolcicova, J Dubravicky, ... Bratislavske Lekarske Listy 114 (11), 607-609, 2013 | 17 | 2013 |
| Federated learning for computational pathology on gigapixel whole slide images MY Lu, RJ Chen, D Kong, J Lipkova, R Singh, DFK Williamson, TY Chen, ... Medical image analysis 76, 102298, 2022 | 16 | 2022 |
| Neural parameters estimation for brain tumor growth modeling I Ezhov, J Lipkova, S Shit, F Kofler, N Collomb, B Lemasson, E Barbier, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 15 | 2019 |
| Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. AB Qasim, I Ezhov, S Shit, O Schoppe, JC Paetzold, A Sekuboyina, ... Medical Imaging with Deep Learning, 655-668, 2020 | 14 | 2020 |
| Real-time Bayesian personalization via a learnable brain tumor growth model I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, F Navarro, M Metz, ... arXiv preprint arXiv:2009.04240, 2020 | 8* | 2020 |
| Automated unsupervised segmentation of liver lesions in ct scans via cahn-hilliard phase separation J Lipková, M Rempfler, P Christ, J Lowengrub, BH Menze arXiv preprint arXiv:1704.02348, 2017 | 6 | 2017 |
| Algorithm fairness in ai for medicine and healthcare RJ Chen, TY Chen, J Lipkova, JJ Wang, DFK Williamson, MY Lu, S Sahai, ... arXiv preprint arXiv:2110.00603, 2021 | 5 | 2021 |
Bjoern H MenzeUniversität Zürich, TU MünchenVerified email at uzh.ch
