Ivan Ezhov

About Ivan Ezhov

Ivan Ezhov, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Medical image computing, Physics-informed deep learning, Inverse modelling, Computational oncology.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge

Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers

Vesselformer: Towards Complete 3D Vessel Graph Generation from Images

Machine learning analysis of human skin by optoacoustic mesoscopy for automated extraction of psoriasis and aging biomarkers

Rapid Personalization of PDE-Based Tumor Growth using a Differentiable Forward Model

Where is VALDO? VAscular lesions detection and segmentation challenge at MICCAI 2021

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

The liver tumor segmentation benchmark (lits)

Ivan Ezhov Information

University

Position

___

Citations(all)

1959

Citations(since 2020)

1951

Cited By

74

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

22

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Ivan Ezhov Skills & Research Interests

Medical image computing

Physics-informed deep learning

Inverse modelling

Computational oncology

Top articles of Ivan Ezhov

Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers

arXiv preprint arXiv:2403.06601

2024/3/11

Vesselformer: Towards Complete 3D Vessel Graph Generation from Images

2024/1/23

Ivan Ezhov
Ivan Ezhov

H-Index: 6

Hongwei Li
Hongwei Li

H-Index: 19

Machine learning analysis of human skin by optoacoustic mesoscopy for automated extraction of psoriasis and aging biomarkers

IEEE Transactions on Medical Imaging

2024/1/19

Rapid Personalization of PDE-Based Tumor Growth using a Differentiable Forward Model

2024

Ivan Ezhov
Ivan Ezhov

H-Index: 6

HyperProbe consortium: innovate tumour neurosurgery with innovative photonic solutions

2023/6/25

Identifying chromophore fingerprints of brain tumor tissue on hyperspectral imaging using principal component analysis

2023/6/25

Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling

Medical Image Analysis

2023/1/1

blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation

2023/6/8

Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss

arXiv preprint arXiv:2312.05063

2023/12/8

Geometric deep learning for disease classification in OCTA images

Investigative Ophthalmology & Visual Science

2023/6/1

Panoptica--instance-wise evaluation of 3D semantic and instance segmentation maps

arXiv preprint arXiv:2312.02608

2023/12/5

See List of Professors in Ivan Ezhov University(Technische Universität München)

Co-Authors

academic-engine