Anubha Gupta

Orcid: 0000-0002-7752-1926

According to our database1, Anubha Gupta authored at least 123 papers between 2005 and 2023.

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Bibliography

2023
A novel PRFB decomposition for non-stationary time-series and image analysis.
Signal Process., June, 2023

SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images.
Medical Image Anal., 2023

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.
CoRR, 2023

Why is the winner the best?
CoRR, 2023

Forest: White Matter Fiber Orientation Estimation Using Deep Learning in Diffusion MRI.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Why is the Winner the Best?
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Lidacs: a Lightweight Domain adaptive cell Segmentation Framework.
Proceedings of the Asia Conference on Artificial Intelligence, 2023

2022
General Parameterized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and $Z$ Transforms.
IEEE Trans. Signal Process., 2022

Proper Definitions of Dirichlet Conditions and Convergence of Fourier Representations [Lecture Notes].
IEEE Signal Process. Mag., 2022

ARCANE-ROG: Algorithm for reconstruction of cancer evolution from single-cell data using robust graph learning.
J. Biomed. Informatics, 2022

Makers' Studio: Enabling Education and Skill Development Through ICT.
IT Prof., 2022

Effects of interacting with facial expressions and controllers in different virtual environments on presence, usability, affect, and neurophysiological signals.
Int. J. Hum. Comput. Stud., 2022

A Unified Computational Framework for a Robust, Reliable, and Reproducible Identification of Novel miRNAs From the RNA Sequencing Data.
Frontiers Bioinform., 2022

Biomedical image analysis competitions: The state of current participation practice.
CoRR, 2022

Changing Landscape of Technical Education Pedagogy From Traditional to Practical e-Learning.
Computer, 2022

TL-HARDI: Transform learning based accelerated reconstruction of HARDI data.
Comput. Biol. Medicine, 2022

CSR-PERT: Joint framework for MRI and HARDI data reconstruction using perturbed radial trajectory estimated from compressively sensed measurements.
Comput. Biol. Medicine, 2022

GCRS: A hybrid graph convolutional network for risk stratification in multiple myeloma cancer patients.
Comput. Biol. Medicine, 2022

ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects.
Comput. Biol. Medicine, 2022

COVID-19 image classification using deep learning: Advances, challenges and opportunities.
Comput. Biol. Medicine, 2022

Explainable AI decision model for ECG data of cardiac disorders.
Biomed. Signal Process. Control., 2022

A comparative study for predictive monitoring of COVID-19 pandemic.
Appl. Soft Comput., 2022

DEC-aided SM-OFDM: A Spatial Modulation System with Deep Learning based Error Correction.
Proceedings of the Second International Conference on AI-ML Systems, 2022

2021
SegPC-2021: Segmentation of Multiple Myeloma Plasma Cells in Microscopic Images.
Dataset, April, 2021

Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations.
NeuroImage, 2021

A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis.
Medical Image Anal., 2021

InPHYNet: Leveraging attention-based multitask recurrent networks for multi-label physics text classification.
Knowl. Based Syst., 2021

AF-MNS: A Novel AM-FM Based Measure of Non-Stationarity.
IEEE Commun. Lett., 2021

The Generalized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and Z Transforms.
CoRR, 2021

Ethics in Autonomous Vehicle Software: The Dilemmas.
Computer, 2021

Experiencing Hyperloops: The Transit of the Future.
Computer, 2021

A comparative study on inter-brain synchrony in real and virtual environments using hyperscanning.
Comput. Graph., 2021

Deep learning helps EEG signals predict different stages of visual processing in the human brain.
Biomed. Signal Process. Control., 2021

Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification andSegmentation.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Robust brain state decoding using bidirectional long short term memory networks in functional MRI.
Proceedings of the ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19, 2021

DURAS: Deep Unfolded Radar Sensing Using Doppler Focusing.
Proceedings of the IEEE International Conference on Acoustics, 2021

An Improved Data Driven Dynamic SIRD Model for Predictive Monitoring of COVID-19.
Proceedings of the IEEE International Conference on Acoustics, 2021

Exploration of Temporal and Spectral Features of EEG Signals in Motor Imagery Tasks.
Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021

2020
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images.
Medical Image Anal., 2020

SDCT-AuxNet<sup><i>θ</i></sup>: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis.
Medical Image Anal., 2020

eSampling: Energy Harvesting ADCs.
CoRR, 2020

SDCT-AuxNet<sup>θ</sup>: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis.
CoRR, 2020

Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer.
CoRR, 2020

MSR-Hardi: Accelerated Reconstruction of Hardi Data Using Multiple Sparsity Regularizers.
Proceedings of the IEEE International Conference on Image Processing, 2020

Experimental Results for Energy Harvesting by Exploiting Inherent Inadequacies of Sampling Process for IoT Applications.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Energy Harvesting via Analog-to-Digital Conversion.
Proceedings of the 28th European Signal Processing Conference, 2020

Understanding Functional Brain Activation using Source Localization of EEG Signals in Motor Imagery Tasks.
Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

Predicting Human Response in Feature Binding Experiment using EEG Data.
Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

2019
Sparsity-Based Monobit UWB Receiver Under Impulse Noise Environments.
IEEE Wirel. Commun. Lett., 2019

PCI-MDR: Missing Data Recovery in Wireless Sensor Networks Using Partial Canonical Identity Matrix.
IEEE Wirel. Commun. Lett., 2019

Compressed Sensing Based UWB Receiver Using Signal-Matched Sparse Measurement Matrix.
IEEE Trans. Veh. Technol., 2019

Joint Symbol and ToA Estimation for Iterative Transmitted Reference Pulse Cluster UWB System.
IEEE Syst. J., 2019

Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism.
Medical Image Anal., 2019

Group-fused multivariate regression modeling for group-level brain networks.
Neurocomputing, 2019

Joint Power-Domain and SCMA-Based NOMA System for Downlink in 5G and Beyond.
IEEE Commun. Lett., 2019

WNC-ECGlet: Weighted non-convex minimization based reconstruction of compressively transmitted ECG using ECGlet.
Biomed. Signal Process. Control., 2019

Design of Sub-Nyquist Receiver for Sparse and Localized UWB Signals.
Proceedings of the 16th International Symposium on Wireless Communication Systems, 2019

CT-NNBI: Method to Impute Gene Expression Data using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman Iteration.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

TS-MC: Two Stage Matrix Completion Algorithm for Wireless Sensor Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Rethinking Teaching Practices for Signal Processing Education.
Proceedings of the IEEE International Conference on Acoustics, 2019

TV-DCT: Method to Impute Gene Expression Data Using DCT Based Sparsity and Total Variation Denoising.
Proceedings of the IEEE International Conference on Acoustics, 2019

EDUQA: Educational Domain Question Answering System Using Conceptual Network Mapping.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
On the approximate discrete KLT of fractional Brownian motion and applications.
J. Frankl. Inst., 2018

Impulse Noise Mitigation in IR-UWB Communication Using Signal Cluster Sparsity.
IEEE Commun. Lett., 2018

LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer.
CoRR, 2018

M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework.
IEEE Access, 2018

Improved Noncoherent Receiver for Joint Range and Symbol Estimation.
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018

Poster: Sparse Signal Recovery and Energy Harvesting for Potential 5G Applications.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

U-Segnet: Fully Convolutional Neural Network Based Automated Brain Tissue Segmentation Tool.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

An Iterative Transmitted Reference UWB Receiver for Joint ToA and Data Symbols Estimation.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Statistical Learning of Rational Wavelet Transform for Natural Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

SCMA Codebook Based on Optimization of Mutual Information and Shaping Gain.
Proceedings of the IEEE Globecom Workshops, 2018

Use of portable EEG sensors to detect meditation.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

2017
Image Reconstruction Using Matched Wavelet Estimated From Data Sensed Compressively Using Partial Canonical Identity Matrix.
IEEE Trans. Image Process., 2017

Multivariate brain network graph identification in functional MRI.
Medical Image Anal., 2017

Sparse Impulse Noise Minimization in UWB Communication using Signal Characteristics.
CoRR, 2017

Sparsity-based narrowband interference mitigation in ultra wide-band communication for 5G and beyond.
Comput. Electr. Eng., 2017

Double temporal sparsity based accelerated reconstruction of compressively sensed resting-state fMRI.
Comput. Biol. Medicine, 2017

Optshrink LR + S: accelerated fMRI reconstruction using non-convex optimal singular value shrinkage.
Brain Informatics, 2017

A Simple Modified Peak Detection Based UWB Receiver for WSN and IoT Applications.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

A Non-coherent UWB receiver using signal cluster sparsity.
Proceedings of the Twenty-third National Conference on Communications, 2017

SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

P-TELU: Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Joint Estimation of ToA and Data Symbols in UWB Communication in Presence of Impulsive Interference.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Detecting meditation using a dry mono-electrode EEG sensor.
Proceedings of the 9th International Conference on Communication Systems and Networks, 2017

2016
Recursive Least Squares Channel Estimation for Rapidly Time-Varying Scenarios in IEEE 802.11p.
Wirel. Pers. Commun., 2016

Accelerated fMRI reconstruction using Matrix Completion with Sparse Recovery via Split Bregman.
Neurocomputing, 2016

Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network.
CoRR, 2016

A New Sparse Signal-Matched Measurement Matrix for Compressive Sensing in UWB Communication.
IEEE Access, 2016

Sparsity based UWB receiver design in additive impulse noise channels.
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

Deep neural networks for segmentation of basal ganglia sub-structures in brain MR images.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Classification of Schizophrenia versus normal subjects using deep learning.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Overlapping cell nuclei segmentation in microscopic images using deep belief networks.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Connection between DCT and Discrete-Time Fractional Brownian motion.
Proceedings of the 2016 Data Compression Conference, 2016

Joint Framework for Signal Reconstruction Using Matched Wavelet Estimated from Compressively Sensed Data.
Proceedings of the 2016 Data Compression Conference, 2016

Compressive cooperative communication with decode and forward relay.
Proceedings of the 8th International Conference on Communication Systems and Networks, 2016

2015
A guard interval assisted OFDM symbol-based channel estimation for rapid time-varying scenarios in IEEE 802.lip.
Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015

Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Signal-matched wavelet design via lifting using optimization techniques.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Lifting-based rational wavelet design from a given signal.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Design of signal-matched critically sampled FIR rational filterbank.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Assessing the Impact of Virtual Labs: A Case Study with the Lab on Advanced VLSI.
Proceedings of the 15th IEEE International Conference on Advanced Learning Technologies, 2015

Physics inspired CS based underwater acoustic channel estimation.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Joint estimation of activity signal and HRF in fMRI using fused LASSO.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Stochastic modeling of EEG rhythms with fractional Gaussian Noise.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Fractal and EMD based removal of baseline wander and powerline interference from ECG signals.
Comput. Biol. Medicine, 2013

Semi-automated Magnification of Small Motions in Videos.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Time-frequency analysis based motion detection in perfusion weighted MRI.
Proceedings of the Fourth National Conference on Computer Vision, 2013

Projection operator based removal of baseline wander noise from ECG signals.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2011
Two-channel nonseparable wavelets statistically matched to 2-D images.
Signal Process., 2011

2010
Characterization of second-order isotropic fractional brownian fields.
IEEE Trans. Signal Process., 2010

Relationalization of provenance data in complex RDF reification nodes.
Electron. Commer. Res., 2010

2009
R2d: a Framework for the Relational Transformation of RDF Data.
Int. J. Semantic Comput., 2009

Relationalizing RDF stores for tools reusability.
Proceedings of the 18th International Conference on World Wide Web, 2009

R2D: Extracting Relational Structure from RDF Stores.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

R2D: A Bridge between the Semantic Web and Relational Visualization Tools.
Proceedings of the 3rd IEEE International Conference on Semantic Computing (ICSC 2009), 2009

A Relational Wrapper for RDF Reification.
Proceedings of the Trust Management III, Third IFIP WG 11.11 International Conference, 2009

DCT Domain Message Embedding in Spread-Spectrum Steganography System.
Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

2008
Some Studies on the Structure of Covariance Matrix of Discrete-Time fBm.
IEEE Trans. Signal Process., 2008

Variable Step-Size LMS Algorithm for Fractal Signals.
IEEE Trans. Signal Process., 2008

2005
A new approach for estimation of statistically matched wavelet.
IEEE Trans. Signal Process., 2005

A new method of estimating wavelet with desired features from a given signal.
Signal Process., 2005


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