Ivan Ezhov

Citado por

	Total	Desde 2020
Citas	3691	3650
Índice h	21	21
Índice i10	34	33

1500

750

375

1125

201920202021202220232024202526 129 331 510 952 1460 250

Acceso público

Ver todo

45 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Bjoern MenzeUniversität ZürichDirección de correo verificada de uzh.ch
Suprosanna ShitUniversity of Zurich | ETH AI CenterDirección de correo verificada de uzh.ch
Johannes C. PaetzoldImperial College LondonDirección de correo verificada de ic.ac.uk
Florian KoflerUniversity of ZurichDirección de correo verificada de tum.de
Bene WiestlerAI for Image-Guided Diagnosis and Therapy, TUMDirección de correo verificada de tum.de
Jan KirschkeNeuroradiologe, Technische Universität MünchenDirección de correo verificada de tum.de
Hongwei Bran LiMartinos Center, MGH/Harvard Medical SchoolDirección de correo verificada de mgh.harvard.edu
Jana LipkovaHarvard Medical School, Brigham and Women's HospitalDirección de correo verificada de bwh.harvard.edu
Anjany SekuboyinaPhD Student, Technical University of MunichDirección de correo verificada de tum.de
Daniel RueckertTechnical University of Munich and Imperial College LondonDirección de correo verificada de tum.de
Marie PiraudHelmholtz AI, Helmoltz Zentrum MünchenDirección de correo verificada de helmholtz-muenchen.de
Diana WaldmannstetterPhD Candidate, Technical University of Munich (TUM)Dirección de correo verificada de tum.de
Jan C. PeekenGroup Leader "Artificial Intelligence and Radiomics in Radiation Oncology", Technical University of Munich and Institute of Radiation Medicine, Helmholtz Zentrum MünchenDirección de correo verificada de tum.de
Fernando NavarroTechnische Universität MünchenDirección de correo verificada de tum.de
Martin J. MentenTechnical University of MunichDirección de correo verificada de tum.de
Ali Ertürkdirector at Helmholtz Munich, prof at LMU (Munich University)Dirección de correo verificada de helmholtz-muenchen.de
Ahmad Bin QasimGerman Cancer Research Center (DKFZ)Dirección de correo verificada de tum.de
Ezequiel de la RosaUniversity of ZurichDirección de correo verificada de uzh.ch
Josien PluimProfessor of Medical Image Analysis, Eindhoven University of Technology / UMC UtrechtDirección de correo verificada de tue.nl
Ulrich BauerTechnical University of MunichDirección de correo verificada de tum.de

Seguir

Ivan Ezhov

Technical University of Munich

Dirección de correo verificada de tum.de

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


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1378	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	387*	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	286	2021
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	239	2022
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	134*	2020
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset MR Hernandez Petzsche, E de la Rosa, U Hanning, R Wiest, ... Scientific data 9 (1), 762, 2022	125	2022
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	109	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	80*	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	76*	2020
The brain tumor segmentation (BraTS) challenge 2023: focus on pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs) AF Kazerooni, N Khalili, X Liu, D Haldar, Z Jiang, SM Anwar, J Albrecht, ... ArXiv, arXiv: 2305.17033 v7, 2024	68	2024
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	60	2022
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, B Demiray, ... arXiv preprint arXiv:2103.06205, 2021	59*	2021
The Brain Tumor Segmentation-Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI AW Moawad, A Janas, U Baid, D Ramakrishnan, R Saluja, N Ashraf, ... ArXiv, arXiv: 2306.00838 v2, 2024	48	2024
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	40	2020
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	38*	2021
The asnr-miccai brain tumor segmentation (brats) challenge 2023: Intracranial meningioma D LaBella, M Adewole, M Alonso-Basanta, T Altes, SM Anwar, U Baid, ... arXiv preprint arXiv:2305.07642, 2023	36	2023
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	33	2021
Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF conference on computer vision and Pattern …, 2023	26	2023
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	25	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, ... Medical Image Analysis 83, 102672, 2023	24	2023

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores