Meysam Ahangaran

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Hamid BeigySharif University of TechnologyVerified email at sharif.edu
M.R. Jahed-MotlaghIran University of Science and TechnologyVerified email at iust.ac.ir
Behrouz Minaei-BidgoliProfessor, School of Computer Engineering, Iran University of Science and TechnologyVerified email at iust.ac.ir
Nasrin TaghizadehUniversity of TehranVerified email at ut.ac.ir
Adriano Chio'Professor of Neurology, 'Rita Levi Montalcini' Department of Neuroscience, University of TurinVerified email at unito.it
Fabrizio D'OvidioDipartimento di Neuroscienze - Università di TorinoVerified email at unito.it
Umberto Manera"Rita Levi Montalcini" Department of NeuroscienceVerified email at unito.it
cristina mogliaUniversity of TorinoVerified email at unito.it
Andrea CalvoAssociate Professor of Neurology, 'Rita Levi Montalcini' Department of Neuroscience, University ofVerified email at unito.it
Hossein PourbozorgMaster's Student at Shahrood University of Technology, IranVerified email at shahroodut.ac.ir
Uffe Kock WiilProfessor, University of Southern DenmarkVerified email at mmmi.sdu.dk
Abdolrahman PeimankarUniversity of Southern DenmarkVerified email at mmmi.sdu.dk

Meysam Ahangaran

Postdoctoral Research Associate of Boston University

Verified email at bu.edu

Machine Learning Data Harmonization Causal Modeling Biomedical Informatics


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Associative cellular learning automata and its applications M Ahangaran, N Taghizadeh, H Beigy Applied Soft Computing 53, 1-18, 2017	38	2017
Causal discovery from sequential data in ALS disease based on entropy criteria M Ahangaran, MR Jahed-Motlagh, B Minaei-Bidgoli Journal of Biomedical Informatics 89, 41-55, 2019	8	2019
A novel method for predicting the progression rate of ALS disease based on automatic generation of probabilistic causal chains M Ahangaran, MR Jahed-Motlagh, B Minaei-Bidgoli Artificial intelligence in medicine 107, 101879, 2020	7	2020
Cellular learning automata with external input and its applications in pattern recognition M Ahangaran, H Beigy 2009 Fifth International Conference on Soft Computing, Computing with Words …, 2009	4	2009
Causal associations of genetic factors with clinical progression in amyotrophic lateral sclerosis M Ahangaran, A Chiò, F D'Ovidio, U Manera, R Vasta, A Canosa, ... Computer Methods and Programs in Biomedicine 216, 106681, 2022	3	2022
AIM in Amyotrophic Lateral Sclerosis M Ahangaran, A Chiò Artificial Intelligence in Medicine, 1-13, 2021	3	2021
Deep reinforcement learning for diagnosing various types of cancer by TP53 mutation patterns A Rahmani, B Minaei-Bidgoli, M Ahangaran https://doi.org/10.21203/rs.3.rs-744748/v1, 2021	1	2021
Applications of Big Data and Deep Learning in HealthCare Industry from Disease Detection to Cost Reduction M Seifolahzade, N Chitgar, R Abbasnejad, M Ahangaran 13th international conference on industrial engineering, 2017	1	2017
Impact of laboratory biomarkers on ALS disease progression: a probabilistic causation approach M Ahangaran, A Peimankar, UK Wiil, A Chio Network Modeling Analysis in Health Informatics and Bioinformatics 11 (1), 43, 2022		2022
Automatic Generation of University Course Timetabling Using Genetic Algorithm M Ahangaran, H Pourbozorg, M Talebi, K Soleymani 13th international conference on industrial engineering, 2017		2017

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