Ivan Ezhov

Cited by

	All	Since 2017
Citations	276	276
h-index	9	9
i10-index	8	8

160

120

2017201820192020202120225 1 2 41 144 83

Public access

View all

20 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Suprosanna ShitDoctoral Candidate, Technical University MunichVerified email at tum.de
Bjoern H MenzeUniversität Zürich, TU MünchenVerified email at uzh.ch
Johannes C. PaetzoldTechnische Universität MünchenVerified email at tum.de
Florian KoflerTU MunichVerified email at tum.de
Jana LipkovaHarvard Medical School, Brigham and Women's HospitalVerified email at bwh.harvard.edu
Bene WiestlerDept. of Neuroradiology, TUMVerified email at tum.de
Fernando NavarroTechnische Universität MünchenVerified email at tum.de
Hongwei Bran LiDept. of Computer Science, Techinical University of Munich / University of ZurichVerified email at tum.de
Giles TettehDoctoral Candidate, Technische Universität München (TUM)Verified email at tum.de
Anjany SekuboyinaPhD Student, Technical University of MunichVerified email at tum.de
Jan KirschkeNeuroradiologe, Technische Universität MünchenVerified email at tum.de
Josien PluimProfessor of Medical Image Analysis, Eindhoven University of Technology / UMC UtrechtVerified email at tue.nl
Ahmad Bin QasimGerman Cancer Research Center (DKFZ)Verified email at tum.de
Jan C. PeekenGroup Leader "Artificial Intelligence and Radiomics in Radiation Oncology", Technical University of Munich and Institute of Radiation Medicine, Helmholtz Zentrum MünchenVerified email at tum.de
Ali ErtürkInstitute of Tissue Engineering and Regenerative Medicine (iTERM)Verified email at helmholtz-muenchen.de
András JakabResearch group leader, University of Zürich and University Children's Hospital ZürichVerified email at kispi.uzh.ch
Theofanis KarayannisBrain Research Institute, University of ZurichVerified email at hifo.uzh.ch
Asim IqbalCajal NeuroVerified email at cajalneuro.com
Meritxell Bach CuadraRadiology Department (CHUV) - CIBM Center for Biomedical Imaging, Lausanne University (UNIL)Verified email at unil.ch
Hamza KebiriRadiology Department (CHUV) - CIBM Center for Biomedical Imaging, Lausanne University (UNIL)Verified email at unil.ch

Ivan Ezhov

PhD student, Technical University of Munich

Verified email at tum.de

Medical image computing Physics-informed deep learning Inverse modelling


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
clDice-a Topology-Preserving Loss Function for Tubular Structure Segmentation. S Shit, JC Paetzold, A Sekuboyina, A Zhylka, I Ezhov, A Unger, ...	36*	2020
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	33	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
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	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, ... Proceedings of Machine Learning Research 1, 14, 2020	19*	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	18*	2020
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
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
Influence of screening on longitudinal-optical phonon scattering in quantum cascade lasers I Ezhov, C Jirauschek Journal of Applied Physics 119 (3), 033102, 2016	9	2016
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	8	2021
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	8*	2021
Imbalance-aware self-supervised learning for 3d radiomic representations H Li, FF Xue, K Chaitanya, S Luo, I Ezhov, B Wiestler, J Zhang, B Menze International Conference on Medical Image Computing and Computer-Assisted …, 2021	5	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	5	2019
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
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	3	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	3	2019
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling I Ezhov, K Scibilia, K Franitza, F Steinbauer, S Shit, L Zimmer, J Lipkova, ... arXiv preprint arXiv:2111.04090, 2021	2	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, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021	2*	2021
A-Net: Automatic Detection and Segmentation of Aneurysm S Shit, I Ezhov, JC Paetzold, B Menze International workshop on Cerebral Aneurysm Detection, 51-57, 2020	2	2020

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors