Egor Panfilov - Concepedia

Author

Egor Panfilov

University of Oulu ORCID

Also Known As

E. Panfilov, Egor Panfilov, Panfilov, Egor

Publications

285

Citations

H-Index

Concepts

All Affiliations

University of Oulu Oulu University Hospital Erasmus MC University of Eastern Finland Raytheon Technologies (Finland)

About

Egor Panfilov is an author at University of Oulu specializing in deep learning, radiology, and medical imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	2	2	30
2	Health Sciences	1	1	16
3	Medicine	1	1	14
4	Biomedical Engineering	1	1	16
5	Data Science	1	1	14

Egor Panfilov

Publications

251

Citations

H-Index

Page 1

	Year	Citations
Improving robustness of deep learning based knee MRI segmentation:mixup and adversarial domain adaptation Egor Panfilov, Aleksei Tiulpin, Stefan Klein, University of Oulu Repository (University of Oulu)	2019	82
The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images Jukka Hirvasniemi, J. Runhaar, Rianne A. van der Heijden, Osteoarthritis and Cartilage	2022	55
Deep learning‐based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative Egor Panfilov, Aleksei Tiulpin, Miika T. Nieminen, Journal of Orthopaedic Research®	2021	53
Automated analysis of rabbit knee calcified cartilage morphology using micro‐computed tomography and deep learning S.J.O. Rytky, Lingwei Huang, Petri Tanska, Journal of Anatomy EngineeringBiomedical EngineeringOrthopedic BiomechanicsOrthopaedic SurgeryµCt Segmentation	2021	16
Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) Structural MriConvolutional Neural NetworkProgression PredictionMachine LearningEngineering	2022	14
Predicting osteoarthritis onset and progression with 3D texture analysis of cartilage MRI DESS: 6‐Year data from osteoarthritis initiative Ari Väärälä, Victor Casula, Arttu Peuna, Journal of Orthopaedic Research®	2022	11
Deep learning based detection of osteophytes in radiographs and magnetic resonance imagings of the knee using 2D and 3D morphology Mitra Daneshmand, Egor Panfilov, Neslihan Bayramoğlu, Journal of Orthopaedic Research®	2024	10
Kellgren-Lawrence grading of knee osteoarthritis using deep learning: Diagnostic performance with external dataset and comparison with four readers Elias Vaattovaara, Egor Panfilov, Aleksei Tiulpin, Osteoarthritis and Cartilage Open	2025	10

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