Monsieur Anirudh Nihalani VATTIKONDA / Docteur


Researcher within an academic field *

Adresse professionnelle

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Expérience professionnelle

Emplois

Recherche : NON

Doctorat

Titre : Sciences du Mouvement Humain - MRS

1ère inscription en thèse : 1 septembre 2017 / 5A

Ecole doctorale : Sciences du Mouvement Humain

Date de soutenance de thèse : 22 décembre 2023

Sujet : Identification de la zone épileptogène dans l'épilepsie focale à l'aide de l'inversion du modèle bayésien

Directeur de thèse : JIRSA Viktor

Co-directeur :

Unité de recherche : INS - Institut de Neurosciences des Systèmes

Equipe : INS - E1 - Neurosciences Théoriques

Master

Titre : Master of Science by Research

juillet 2017 - International Institute of Information Technology, Hyderabad

Production scientifique

  • Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators
    Neural Networks, 2023
    Hashemi M, Vattikonda AN, Jha J, Sip V, Woodman MM, Bartolomei F, Jirsa VK
    https://www.sciencedirect.com/science/article/pii/S0893608023001752
  • Delineating epileptogenic networks using brain imaging data and personalized modeling in drug resistant epilepsy
    Science Translational Medicine, 2023
    Wang HE, Woodman M, Triebkorn P, Lemarechal JD, Jha J, Dollomaja B, Vat- tikonda AN, Sip V, Medina Villalon S, Hashemi M, Guye M
    https://www.science.org/doi/abs/10.1126/scitranslmed.abp8982
  • Improving epileptogenic zone estimation using Bayesian inference on neural field models
    Nature Communications, 2023
    Vattikonda, A.N., Woodman, M.M., Lemarechal, J.D., Daini D., Hashemi, M., Bartolomei, F, Jirsa, V.K.
    https://www.medrxiv.org/content/10.1101/2023.10.01.23296377v1
  • Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo
    Machine Learning: Science and Technology, 2022
    Jha, J., Hashemi, M., Vattikonda, A. N., Wang, H., & Jirsa, V.
    https://iopscience.iop.org/article/10.1088/2632-2153/ac9037/meta
  • Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography
    PLOS computational biology, 2021
    Sip, V., Hashemi, M., Vattikonda, A.N., Woodman, M.M., Wang, H., Scholly, J., Medina Villalon, S., Guye, M., Bartolomei, F. and Jirsa, V.K.
    https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008689
  • Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian Inference
    Communications Biology, 2021
    Anirudh N. Vattikonda, Meysam Hashemi, Viktor Sip, Marmaduke M. Woodman, Fabrice Bartolomei, Viktor K. Jirsa
    not yet provided
  • On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread
    PLOS computational biology, 2021
    Meysam Hashemi, Anirudh N. Vattikonda, Viktor Sip, Sandra Diaz-Pier, Alexander Peyser, Huifang Wang, Maxime Guye, Fabrice Bartolomei, Marmaduke M. Woodman, Viktor K. Jirsa
    https://journals.plos.org/ploscompbiol/article/metrics?id=10.1371/journal.pcbi.1009129#citedHeader
  • The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread
    NeuroImage, 2020
    Hashemi, M., Vattikonda, A.N., Sip, V., Guye, M., Bartolomei, F., Woodman, M.M. and Jirsa, V.K.
    https://www.sciencedirect.com/science/article/pii/S1053811920303268

Langues

Anglais : C2 - Courant

Télougou : C2 - Maternel