Amita Giri

About Amita Giri

Amita Giri, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Indian Institute of Technology Delhi, specializes in the field of Biomedical signal processing, Forward & Inverse Problems, Brain Computer Interface.

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

Localization of Spatially Extended Brain Sources by Flexible Alternating Projection (Flex-AP)

Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect

An F-ratio-based method for estimating the number of active sources in MEG

Spatial and Anatomical Harmonics Domain based Brain Source Localization

Anatomical harmonics basis based brain source localization with application to epilepsy

Source aware deep learning framework for hand kinematic reconstruction using EEG signal

Adaptive area-preserving parameterization of open and closed anatomical surfaces

Cortical source domain based motor imagery and motor execution framework for enhanced brain computer interface applications

Amita Giri Information

University

Position

___

Citations(all)

101

Citations(since 2020)

101

Cited By

14

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Indian Institute of Technology Delhi

Google Scholar

View Google Scholar Profile

Amita Giri Skills & Research Interests

Biomedical signal processing

Forward & Inverse Problems

Brain Computer Interface

Top articles of Amita Giri

Title

Journal

Author(s)

Publication Date

Localization of Spatially Extended Brain Sources by Flexible Alternating Projection (Flex-AP)

bioRxiv

Lukas Hecker

Amita Giri

Dimitrios Pantazis

Amir Adler

2023/11/8

Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect

arXiv preprint arXiv:2308.08654

Sidharth Pancholi

Amita Giri

2023/8/16

An F-ratio-based method for estimating the number of active sources in MEG

Frontiers in Human Neuroscience

Amita Giri

John C Mosher

Amir Adler

Dimitrios Pantazis

2023

Spatial and Anatomical Harmonics Domain based Brain Source Localization

Ph.D. Thesis (IIT Delhi)

Amita Giri

2022/3

Anatomical harmonics basis based brain source localization with application to epilepsy

Scientific Reports

Amita Giri

Lalan Kumar

Nilesh Kurwale

Tapan K Gandhi

2022/7/4

Source aware deep learning framework for hand kinematic reconstruction using EEG signal

IEEE Transactions on Cybernetics

Sidharth Pancholi

Amita Giri

Anant Jain

Lalan Kumar

Sitikantha Roy

2022/5/9

Adaptive area-preserving parameterization of open and closed anatomical surfaces

Computers in Biology and Medicine

Gary Choi

Amita Giri

Lalan Kumar

2021/11/8

Cortical source domain based motor imagery and motor execution framework for enhanced brain computer interface applications

IEEE Sensors Letters

Amita Giri

Lalan Kumar

Tapan K Gandhi

2021/10/26

Open and closed anatomical surface description via hemispherical area-preserving map

Signal Processing

Amita Giri

Gary PT Choi

Lalan Kumar

2021/3/1

Robust EEG Source Localization Using Subspace Principal Vector Projection Technique

Amita Giri

Lalan Kumar

Tapan Gandhi

2021/1/18

Brain source localization in head harmonics domain

IEEE Transactions on Instrumentation and Measurement

Amita Giri

Lalan Kumar

Tapan Kumar Gandhi

2020/10/1

See List of Professors in Amita Giri University(Indian Institute of Technology Delhi)

Co-Authors

H-index: 33
Dimitrios Pantazis

Dimitrios Pantazis

Massachusetts Institute of Technology

H-index: 26
TAPAN KUMAR GANDHI, Ph.D.  FNAE

TAPAN KUMAR GANDHI, Ph.D. FNAE

Indian Institute of Technology Delhi

H-index: 18
Gary P. T. Choi

Gary P. T. Choi

Massachusetts Institute of Technology

H-index: 11
Dr. Lalan Kumar

Dr. Lalan Kumar

Indian Institute of Technology Delhi

H-index: 11
Sitikantha Roy

Sitikantha Roy

Indian Institute of Technology Delhi

H-index: 6
Lukas Hecker

Lukas Hecker

Albert-Ludwigs-Universität Freiburg

academic-engine