Simon Mezgec

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Citations	260	256
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Barbara Koroušić SeljakComputer Systems Department, Jožef Stefan InstituteVerified email at ijs.si
Tome EftimovComputer Systems Department, Jožef Stefan InstituteVerified email at ijs.si
Tamara BucherThe University of NewcastleVerified email at newcastle.edu.au
Mads Fiil HjorthNovo Nordisk Fonden, Department of Obesity and Nutrition ScienceVerified email at novo.dk
Helene McNultyProfessor, NICHE, Ulster UniversityVerified email at ulster.ac.uk
Henrik Munch RoagerAssociate Professor, University of CopenhagenVerified email at nexs.ku.dk
Kristina PentievaProfessor, Ulster UniversityVerified email at ulster.ac.uk
Nate MatusheskiNutrition Science and Advocacy, DSM Nutritional ProductsVerified email at dsm.com
Shelini SurendranLecturer in bioscienceVerified email at surrey.ac.uk
Aoife CaffreyPostdoctoral Researcher, NICHE, Ulster UniversityVerified email at ulster.ac.uk
Szabolcs PéterMedical Director & Senior Science Fellow, DSM Nutritional Products Ltd.Verified email at dsm.com
Peter RogeljUniversity of PrimorskaVerified email at upr.si

Simon Mezgec

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Verified email at mensa.si - Homepage

Computer Vision Deep Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment S Mezgec, B Koroušić Seljak Nutrients 9 (7), 657, 2017	178	2017
Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment S Mezgec, T Eftimov, T Bucher, BK Seljak Public health nutrition 22 (7), 1193-1202, 2019	44	2019
Diets, nutrients, genes and the microbiome: recent advances in personalised nutrition NV Matusheski, A Caffrey, L Christensen, S Mezgec, S Surendran, ... British Journal of Nutrition 126 (10), 1489-1497, 2021	15	2021
Using deep learning for food and beverage image recognition S Mezgec, BK Seljak 2019 IEEE International Conference on Big Data (Big Data), 5149-5151, 2019	15	2019
Deep neural networks for image-based dietary assessment S Mezgec, BK Seljak JoVE (Journal of Visualized Experiments), e61906, 2021	8	2021
Food and Drink Image Detection and Recognition Using Deep Convolutional Neural Networks / Zaznavanje in razpoznavanje slik hrane in pijače z uporabo globokih konvolucijskih … S Mezgec Jožef Stefan International Postgraduate School, 2021		2021
Modern Methods and Algorithms for Food and Drink Recognition Using Average Quality Photographs S Mezgec, B Koroušić Seljak Jožef Stefan Institute, 2015		2015
Transformation of Cervix Cancer Structure Delineations Between Independently Acquired Images / Preslikava obrisov struktur raka materničnega vratu med neodvisno zajetimi … S Mezgec University of Primorska, Faculty of Mathematics, Natural Sciences and …, 2014		2014
Traffic Sign Symbol Recognition with the D2 Shape Function S Mezgec, P Rogelj Middle-European Conference on Applied Theoretical Computer Science 2013, 4, 2013		2013
Detection of Prohibitory Traffic Signs / Zaznavanje prometnih znakov za omejitev (Bachelor's Thesis) S Mezgec University of Primorska, Faculty of Mathematics, Natural Sciences and …, 2011		2011

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