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Abinash Nayak
Observed names:
A. Nayak,
Abinash Kumar Nayak,
Nayak, Abinash,
Nayak, Abinash Kumar
Observed institutions:
Rensselaer Polytechnic Institute,
University of Alabama at Birmingham,
Institute of Mathematical Sciences,
Baxter (United States)
ORCID:
0000-0001-5220-5495
Observed ORCID:
0000-0001-5220-5495
OpenAlex ID:
A5014931168
Depth of anesthesia estimation and control [using auditory evoked potentials]
1999
·
J.W. Huang
, Ying-Ying Lu
, et al.
·
IEEE Transactions on Biomedical Engineering
·
68
Anesthesia control using midlatency auditory evoked potentials
1998
·
A. Nayak
, R.J. Roy
·
IEEE Transactions on Biomedical Engineering
·
44
Time-frequency spectral representation of the EEG as an Aid in the detection of depth of anesthesia
1994
·
Abinash Nayak
, Rob J. Roy
, et al.
·
Annals of Biomedical Engineering
·
35
A new regularization approach for numerical differentiation
2020
·
Abinash Nayak
·
Inverse Problems in Science and Engineering
·
14
PDF
Using time-dependent indirect CP asymmetries to measure T and CPT violation in B0– B¯0 mixing
2018
·
Anirban Karan
, Abinash Kumar Nayak
, et al.
·
Physics Letters B
·
7
PDF
Signal of right-handed currents using B→K*ℓ+ℓ− observables at the kinematic endpoint
2017
·
Anirban Karan
, Rusa Mandal
, et al.
·
Physical review. D/Physical review. D.
·
5
PDF
Neural networks for predicting depth of anesthesia from auditory evoked potentials: a comparison of the wavelet transform with autoregressive modeling and power spectrum feature extraction methods
2002
·
A. Nayak
, M.S. Roy
, et al.
·
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
·
5
Time frequency spectral representation of EEG
2002
·
A. Nayak
, R.J. Roy
·
IEEE Annual Northeast Bioengineering Conference (NEBEC)
·
3
Instabilities in Plug-and-Play (PnP) algorithms from a learned denoiser
2021
·
Nayak, Abinash
·
arXiv (Cornell University)
·
1
PDF
Interpretation of Plug-and-Play (PnP) algorithms from a different angle
2021
·
Nayak, Abinash
·
arXiv (Cornell University)
·
1
PDF
A new parameter-free regularization method for inverse problems
2019
·
Abinash Nayak
·
arXiv (Cornell University)
·
1
Regularizing (Stabilizing) Deep Learning Based Reconstruction Algorithms
2021
·
Abinash Nayak
·
arXiv (Cornell University)
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers
2021
·
Nayak, Abinash
·
arXiv (Cornell University)
PDF
A Gradient-thresholding Algorithm for Sparse Regularization
2020
·
Nayak, Abinash
·
arXiv (Cornell University)
PDF
Inverse Problems, Regularization and Applications.
2019
·
Abinash Nayak
·
arXiv (Cornell University)
Parameter estimation in an elliptic problem
2019
·
Nayak, Abinash
·
arXiv (Cornell University)
PDF
The Inverse Problem of Numerical Differentiation
2019
·
Abinash Nayak
·
arXiv (Cornell University)
Smoothing $\mathcal{L}^2$ gradients in iterative regularization
2019
·
Nayak, Abinash
·
arXiv (Cornell University)
PDF
A new regularization method for solving inverse problems
2019
·
Abinash Nayak
·
arXiv (Cornell University)
Implications from $B\to K^* \ell^+\ell^-$ observables using LHCb data
2017
·
Nayak, Abinash Kumar
, Mandal, Rusa
, et al.
·
DESY (CERN, DESY, Fermilab, IHEP, and SLAC)
PDF
Mid-latency auditory evoked potential (MLAEP) as a measure of depth during halothane anesthesia in canines
2005
·
O. Reyes-Martinez
, A. Nayak
, et al.
·
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Neural net based prediction of depth of anesthesia
1994
·
Abinash Nayak
, Jit Muthuswamy
, et al.
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Works count:
22
Citation count:
184
H-index:
5
I10-index:
4
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