Ivan Ezhov

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2018
Позовавания	1097	1091
h-индекс	13	13
i10-индекс	15	15

500

250

125

375

20172018201920202021202220235 1 26 126 305 499 131

Публичен достъп

Преглед на всички

22 статии

0 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Suprosanna ShitDoctoral Candidate, Technical University MunichПотвърден имейл адрес: tum.de
Bjoern H MenzeUniversität ZürichПотвърден имейл адрес: uzh.ch
Johannes C. PaetzoldImperial College LondonПотвърден имейл адрес: ic.ac.uk
Florian KoflerHelmholtz AI | Helmholtz MunichПотвърден имейл адрес: tum.de
Bene WiestlerDept. of Neuroradiology, TUMПотвърден имейл адрес: tum.de
Jana LipkovaHarvard Medical School, Brigham and Women's HospitalПотвърден имейл адрес: bwh.harvard.edu
Jan KirschkeNeuroradiologe, Technische Universität MünchenПотвърден имейл адрес: tum.de
Anjany SekuboyinaPhD Student, Technical University of MunichПотвърден имейл адрес: tum.de
Hongwei Bran LiDept. of Computer Science, Techinical University of Munich / University of ZurichПотвърден имейл адрес: tum.de
Fernando NavarroTechnische Universität MünchenПотвърден имейл адрес: tum.de
Jan C. PeekenGroup Leader "Artificial Intelligence and Radiomics in Radiation Oncology", Technical University of Munich and Institute of Radiation Medicine, Helmholtz Zentrum MünchenПотвърден имейл адрес: tum.de
Giles TettehDoctoral Candidate, Technische Universität München (TUM)Потвърден имейл адрес: tum.de
Ali ErtürkInstitute of Tissue Engineering and Regenerative Medicine (iTERM)Потвърден имейл адрес: helmholtz-muenchen.de
Andrey ZhylkaHet Nederlands Kanker InstituutПотвърден имейл адрес: nki.nl
Ahmad Bin QasimGerman Cancer Research Center (DKFZ)Потвърден имейл адрес: tum.de
András JakabResearch group leader, Assistant Professor, University of ZürichПотвърден имейл адрес: kispi.uzh.ch
Theofanis KarayannisBrain Research Institute, University of ZurichПотвърден имейл адрес: hifo.uzh.ch
Asim IqbalETH ZurichПотвърден имейл адрес: ini.ethz.ch
Meritxell Bach CuadraCIBM Center for Biomedical Imaging, Lausanne University (UNIL), Radiology Department (CHUV)Потвърден имейл адрес: unil.ch
Hamza KebiriMedical Image Analysis Lab (CHUV, CIBM, UNIL) - Computational Radiology Lab (BCH, HMS)Потвърден имейл адрес: unil.ch

Следене

Ivan Ezhov

PhD student, Technical University of Munich

Потвърден имейл адрес: tum.de

Medical image computing Physics-informed deep learning Inverse modelling Computational oncology


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023	553	2023
clDice-a Topology-Preserving Loss Function for Tubular Structure Segmentation. S Shit, JC Paetzold, A Sekuboyina, I Ezhov, A Unger, A Zhylka, ... CVPR, 2021, 2020	80*	2020
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	65	2021
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	51	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, ... Scientific Data, 2021, arXiv: 2010.15526, 2020	47*	2020
Shape-aware complementary-task learning for multi-organ segmentation F Navarro, S Shit, I Ezhov, J Paetzold, A Gafita, JC Peeken, SE Combs, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019	47*	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, ... Proceedings of Machine Learning Research 1, 14, 2020	37*	2020
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	31	2020
Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022	20	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	20	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	17*	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 IEEE Transactions on Medical Imaging, 2021, 2021	14*	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 Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021	14	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	12*	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	11	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
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	8*	2019
Relationformer: A Unified Framework for Image-to-Graph Generation S Shit, R Koner, B Wittmann, J Paetzold, I Ezhov, H Li, J Pan, ... ECCV 2022, 2022	7	2022
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, ... Medical Image Analysis 83, 102672, 2023	6	2023
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, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020	6	2020

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