Scholar
Ivan Ezhov
Google Scholar ID: -Ur4MZYAAAAJ
Technical University of Munich
Medical image computing
Physics-informed deep learning
Inverse modelling
Computational oncology
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Citations & Impact
All-time
Citations
4,946
H-index
26
i10-index
46
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
Universität Zürich
Suprosanna Shit
University of Zurich | ETH AI Center
Johannes C. Paetzold
Cornell University, Weill Cornell Medicine
Florian Kofler
University of Zurich
Bene Wiestler
AI for Image-Guided Diagnosis and Therapy, TUM
Jan Kirschke
Dep. of Neuroradiology, Technische Universität München
Daniel Rueckert
Technical University of Munich and Imperial College London
Jana Lipkova
Harvard Medical School, Brigham and Women's Hospital