Ivan Ezhov
Scholar

Ivan Ezhov

Google Scholar ID: -Ur4MZYAAAAJ
Technical University of Munich
Medical image computingPhysics-informed deep learningInverse modellingComputational oncology
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Citations & Impact
All-time
Citations
4,906
 
H-index
26
 
i10-index
45
 
Publications
20
 
Co-authors
161
list available
Contact
No contact links provided.
Publications
7 items
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning
2025
Cited
0
Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation
2025
Cited
0
BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis
2025
Cited
0
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models
2025
Cited
0
Spatial Brain Tumor Concentration Estimation for Individualized Radiotherapy Planning
arXiv.org · 2024
Cited
0
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
Machine Learning for Biomedical Imaging · 2024
Cited
3
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA
arXiv.org · 2023
Cited
24
Resume (English only)
Co-authors
161 total
Bjoern Menze
Bjoern Menze
Universität Zürich
Suprosanna Shit
Suprosanna Shit
University of Zurich | ETH AI Center
Johannes C. Paetzold
Johannes C. Paetzold
Cornell University, Weill Cornell Medicine
Florian Kofler
Florian Kofler
University of Zurich
Bene Wiestler
Bene Wiestler
AI for Image-Guided Diagnosis and Therapy, TUM
Jan Kirschke
Jan Kirschke
Dep. of Neuroradiology, Technische Universität München
Daniel Rueckert
Daniel Rueckert
Technical University of Munich and Imperial College London
Co-author 8
Co-author 8