| Cellular and molecular probing of intact human organs S Zhao, MI Todorov, R Cai, AIM Rami, H Steinke, E Kemter, H Mai, ... Cell 180 (4), 796-812. e19, 2020 | 126 | 2020 |
| Machine learning analysis of whole mouse brain vasculature MI Todorov*, JC Paetzold*, O Schoppe, G Tetteh, S Shit, V Efremov, ... Nature Methods 17 (4), 442-449, 2020 | 123* | 2020 |
| DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis BM Hongwei Li*, Johannes C. Paetzold*, Anjany Sekuboyina, Florian Kofler ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 39 | 2019 |
| clDice--a Topology-Preserving Loss Function for Tubular Structure Segmentation S Shit*, JC Paetzold*, A Sekuboyina, A Zhylka, I Ezhov, A Unger, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 36* | 2021 |
| Shape-aware complementary-task learning for multi-organ segmentation F Navarro, S Shit, I Ezhov, J Paetzold, A Gafita, JC Peeken, SE Combs, ... International Workshop on Machine Learning in Medical Imaging, 620-627, 2019 | 36* | 2019 |
| VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ... Medical image analysis 73, 102166, 2021 | 35 | 2021 |
| Verse: a vertebrae labelling and segmentation benchmark A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ... arXiv. org e-Print archive, 2020 | 28 | 2020 |
| 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 | 20* | 2020 |
| An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset K Payette, P de Dumast, H Kebiri, I Ezhov, JC Paetzold, S Shit, A Iqbal, ... Scientific Data 8 (1), 1-14, 2021 | 18* | 2021 |
| Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite A Shekhar, J Chen, JC Paetzold, F Dietrich, X Zhao, S Bhattacharjee, ... Environmental Research Letters 15 (9), 095010, 2020 | 18 | 2020 |
| Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient F Kofler, I Ezhov, F Isensee, F Balsiger, C Berger, M Koerner, J Paetzold, ... arXiv preprint arXiv:2103.06205, 2021 | 9* | 2021 |
| A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images S Gerl*, JC Paetzold*, H He*, I Ezhov, S Shit, F Kofler, A Bayat, G Tetteh, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 9 | 2020 |
| Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework TS Jones, JE Franklin, J Chen, F Dietrich, KD Hajny, JC Paetzold, ... Atmospheric Chemistry and Physics 21 (17), 13131-13147, 2021 | 8 | 2021 |
| 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 |
| Transfer learning from synthetic data reduces need for labels to segment brain vasculature and neural pathways in 3D JC Paetzold*, O Schoppe*, R Al-Maskari, G Tetteh, V Efremov, MI Todorov, ... International Conference on Medical Imaging with Deep Learning--Extended …, 2019 | 7 | 2019 |
| Inferring the 3D standing spine posture from 2D radiographs A Bayat, A Sekuboyina, JC Paetzold, C Payer, D Stern, M Urschler, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 6 | 2020 |
| clDice-a Novel Connectivity-Preserving Loss Function for Vessel Segmentation JC Paetzold*, S Shit*, I Ezhov, G Tetteh, A Ertürk, B Menze Medical Imaging Meets NeurIPS 2019, 2019 | 6* | 2019 |
| Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience JC Paetzold, J McGinnis, S Shit, I Ezhov, P Büschl, C Prabhakar, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 5* | 2021 |
| Assessing urban methane emissions using column observing portable FTIR spectrometers and a novel Bayesian inversion framework TS Jones, JE Franklin, J Chen, F Dietrich, KD Hajny, JC Paetzold, ... Atmos. Chem. Phys. Discuss.[preprint], https://doi. org/10.5194/acp-2020 …, 2021 | 5 | 2021 |
| A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information F Kofler, JC Paetzold, I Ezhov, S Shit, D Krahulec, JS Kirschke, C Zimmer, ... International MICCAI Brainlesion Workshop, 254-261, 2019 | 4 | 2019 |
Bjoern H MenzeUniversität Zürich, TU MünchenVerified email at uzh.ch
