Georgios Exarchakis

基本信息

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职业迁徙

个人简介

His research focuses on transparent modeling approaches in Machine Learning, Theoretical Neuroscience, and Data Science. His work has found applications in Neuromorphic Engineering, Health Science, Quantum Chemistry, and Regulatory Compliance.

研究兴趣

论文共 19 篇作者统计合作学者相似作者

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Dissecting Self-Supervised Learning Methods for Surgical Computer Vision

Sanat Ramesh,Vinkle Srivastav,Deepak Alapatt,Tong Yu,Aditya Murali,Luca Sestini,Chinedu Innocent Nwoye,Idris Hamoud,Saurav Sharma,Antoine Fleurentin,Georgios Exarchakis,Alexandros Karargyris,Nicolas Padoy

Medical Image Analysis（2023）

引用18浏览0EIWOS引用

Predicting COVID-19 Positivity and Hospitalization with Multi-Scale Graph Neural Networks

Konstantinos Skianis,Giannis Nikolentzos,Benoit Gallix,Rodolphe Thiebaut,Georgios Exarchakis

SCIENTIFIC REPORTSno. 1 (2023)

引用3浏览0WOSNATURE引用

Prediction of Cesarean Delivery in Class III Obese Nulliparous Women: an Externally Validated Model Using Machine Learning

Massimo Lodi, Audrey Poterie,Georgios Exarchakis,Camille Brien,Pierre Lafaye De Micheaux,Philippe Deruelle,Benoit Gallix

JOURNAL OF GYNECOLOGY OBSTETRICS AND HUMAN REPRODUCTION（2023）

引用1浏览0WOS引用

Predicting COVID-19 Positivity and Hospitalization with Multi-Scale Graph Neural Networks

Konstantinos Skianis,Giannis Nikolentzos,Benoit Gallix,Rodolphe Thiebaut,Georgios Exarchakis

crossref（2022）

引用0浏览0引用

TOWARDS AUTOMATIC DETECTION IN PANCREATIC EUS: AN ASSESSMENT OF DEEP LEARNING METHODS

L. Sosa-Valencia, A. Fleurentin,A. Meyer,J. Montanelli, J.-P. Mazelier,L. Swanstrom, B. Gallix,G. Exarchakis,N. Padoy

Endoscopy (2022)

引用0浏览0引用

A Sampling-Based Approach for Efficient Clustering in Large Datasets

Georgios Exarchakis,Omar Oubari,Gregor Lenz

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)（2022）

引用9浏览0EIWOS引用

Spatio-Temporal Model for EUS Video Detection of Pancreatic Anatomy Structures

Adrien Meyer,Antoine Fleurentin,Julieta Montanelli,Jean-Paul Mazellier,Lee Swanstrom,Benoit Gallix,Georgios Exarchakis,Leonardo Sosa Valencia,Nicolas Padoy

Simplifying Medical Ultrasound Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedingspp.13-22, (2022)

引用0浏览0EI引用

Efficient Spatio-Temporal Feature Clustering for Large Event-Based Datasets