Johannes C. Paetzold
Titel
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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
552020
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
53*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
242019
Verse: a vertebrae labelling and segmentation benchmark
A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ...
arXiv preprint arXiv:2001.09193, 2020
142020
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
132019
clDice--a Topology-Preserving Loss Function for Tubular Structure Segmentation
S Shit*, JC Paetzold*, A Sekuboyina, A Zhylka, I Ezhov, A Unger, ...
arXiv preprint arXiv:2003.07311, 2020
92020
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
42019
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
32020
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
32020
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, ...
Atmospheric Chemistry and Physics Discussions, 1-30, 2021
22021
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
22020
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
22020
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
22019
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
12021
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset
K Payette, P de Dumast, H Kebiri, I Ezhov, JC Paetzold, S Shit, A Iqbal, ...
arXiv preprint arXiv:2010.15526, 2020
12020
Geometry-aware neural solver for fast Bayesian calibration of brain tumor models
I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, F Navarro, ...
arXiv preprint arXiv:2009.04240, 2020
12020
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
12019
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy
I Horvath, JC Paetzold, O Schoppe, R Al-Maskari, I Ezhov, S Shit, H Li, ...
arXiv preprint arXiv:2104.10993, 2021
2021
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference
F Balsiger, A Jungo, J Chen, I Ezhov, S Liu, J Ma, JC Paetzold, ...
arXiv preprint arXiv:2103.05437, 2021
2021
Urban methane emission estimate using measurements obtained by MUCCnet (Munich Urban Carbon Column network)
F Dietrich, J Chen, A Wenzel, A Forstmaier, F Klappenbach, X Zhao, ...
EGU21, 2021
2021
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