Ivan Ezhov
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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
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
clDice-a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
S Shit, JC Paetzold, I Ezhov, A Sekuboyina, A Unger, A Zhylka, ...
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
Influence of screening on longitudinal-optical phonon scattering in quantum cascade lasers
I Ezhov, C Jirauschek
Journal of Applied Physics 119 (3), 033102, 2016
Red-GAN: Attacking class imbalance via conditioned generation. Yet another perspective on medical image synthesis for skin lesion dermoscopy and brain tumor MRI.
AB Qasim*, I Ezhov*, S Shit, O Schoppe, JC Paetzold, A Sekuboyina, ...
Proceedings of Machine Learning Research 1, 14, 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 14, 125, 2020
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 e-prints, arXiv: 2010.15526, 2020
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
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
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
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
Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee
S Shit, A Ravi, I Ezhov, J Lipkova, M Piraud, B Menze
NeurIPS 2019 Workshop on Machine Learning with Guarantees, 2019
Velocity-To-Pressure (V2P)-Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities
S Shit, D Das, I Ezhov, JC Paetzold, AF Sanches, N Thuerey, BH Menze
International Conference on Information Processing in Medical Imaging, 545-558, 2021
Imbalance-aware self-supervised learning for 3d radiomic representations
H Li, FF Xue, K Chaitanya, S Liu, I Ezhov, B Wiestler, J Zhang, B Menze
arXiv preprint arXiv:2103.04167, 2021
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
Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations
S Shit, I Ezhov, L Mächler, J Lipkova, JC Paetzold, F Kofler, M Piraud, ...
arXiv preprint arXiv:2109.01467, 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)
JC Paetzold, J McGinnis, S Shit, I Ezhov, P Büschl, C Prabhakar, ...
arXiv preprint arXiv:2108.13233, 2021
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, ...
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
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