Anirudh Nihalani Vattikonda

About Anirudh Nihalani Vattikonda

Anirudh Nihalani Vattikonda, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Aix-Marseille Université, specializes in the field of Deep Learning, Variational Inference, MCMC, Epilepsy, Neuronal Dynamics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy

Improving epileptogenic zone estimation using Bayesian inference on neural field models

A method for inferring epileptogenicity of a brain region

Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators

Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo

Virtual Epileptic Patient (VEP): Data-driven probabilistic personalized brain modeling in drug-resistant epilepsy

Simulation-Based Inference for Whole-Brain Network Modeling of Epilepsy using Deep Neural Density Estimators

On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread

Anirudh Nihalani Vattikonda Information

University

Position

PhD student

Citations(all)

249

Citations(since 2020)

243

Cited By

22

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Anirudh Nihalani Vattikonda Skills & Research Interests

Deep Learning

Variational Inference

MCMC

Epilepsy

Neuronal Dynamics

Top articles of Anirudh Nihalani Vattikonda

Title

Journal

Author(s)

Publication Date

Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy

Science Translational Medicine

Huifang E Wang

Marmaduke Woodman

Paul Triebkorn

Jean-Didier Lemarechal

Jayant Jha

...

2023/1/25

Improving epileptogenic zone estimation using Bayesian inference on neural field models

medRxiv

Anirudh Nihalani Vattikonda

Marmaduke M Woodman

Jean-Didier Lemarechal

Daniele Daini

Meysam Hashemi

...

2023

A method for inferring epileptogenicity of a brain region

VIKTOR JIRSA

MEYSAM HASHEMI

MICHAEL WOODMAN

VIKTOR SIP

ANIRUDH VATTIKONDA

2021/10/7

Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators

Neural Networks

Meysam Hashemi

Anirudh N Vattikonda

Jayant Jha

Viktor Sip

Marmaduke M Woodman

...

2023/6/1

Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo

Machine Learning: Science and Technology

Jayant Jha

Meysam Hashemi

Anirudh Nihalani Vattikonda

Huifang Wang

Viktor Jirsa

2022/9/26

Virtual Epileptic Patient (VEP): Data-driven probabilistic personalized brain modeling in drug-resistant epilepsy

medRxiv

Huifang E Wang

Marmaduke Woodman

Paul Triebkorn

Jean-Didier Lemarechal

Jayant Jha

...

2022/1/21

Simulation-Based Inference for Whole-Brain Network Modeling of Epilepsy using Deep Neural Density Estimators

medRxiv

Meysam Hashemi

Anirudh N Vattikonda

Jayant Jha

Viktor Sip

Marmaduke M Woodman

...

2022/6/3

On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread

PLoS computational biology

Meysam Hashemi

Anirudh N Vattikonda

Viktor Sip

Sandra Diaz-Pier

Alexander Peyser

...

2021/7/14

Multi-scale dynamic mean field model (MDMF) relates resting-state brain dynamics with local cortical excitatory–inhibitory neurotransmitter homeostasis

Network Neuroscience

Amit Naskar

Anirudh Vattikonda

Gustavo Deco

Dipanjan Roy

Arpan Banerjee

2021/5/6

Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography

PLoS computational biology

Viktor Sip

Meysam Hashemi

Anirudh N Vattikonda

Marmaduke M Woodman

Huifang Wang

...

2021/2/17

Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference

Communications biology

Anirudh N Vattikonda

Meysam Hashemi

Viktor Sip

Marmaduke M Woodman

Fabrice Bartolomei

...

2021/11/1

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

Meysam Hashemi

Anirudh Nihalani Vattikonda

Viktor Sip

Maxime Guye

Fabrice Bartolomei

...

2020/8/15

See List of Professors in Anirudh Nihalani Vattikonda University(Aix-Marseille Université)

Co-Authors

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