Anubha Gupta

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 107

Top Venues

CoRR

ICASSP

COMSNETS

Comput. Biol. Medicine

Publications

Arnav Goel, Medha Hira, Anubha Gupta
Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning. CoRR (2024)
Arnav Goel, Medha Hira, Anubha Gupta
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning. CoRR (2024)
Medha Hira, Arnav Goel, Anubha Gupta
CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning. CoRR (2024)
Medha Hira, Arnav Goel, Anubha Gupta
CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning. Tiny Papers @ ICLR (2024)
Arnav Goel, Medha Hira, Anubha Gupta
Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning. Tiny Papers @ ICLR (2024)
Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. CoRR (2023)
Ashutosh Vaish, Mihir Chaturvedi, Anubha Gupta, Ajit Rajwade
Forest: White Matter Fiber Orientation Estimation Using Deep Learning in Diffusion MRI. MLSP (2023)
Anubha Gupta, Shiv Gehlot, Shubham Goswami, Sachin Motwani, Ritu Gupta, Álvaro García-Faura, Dejan Stepec, Tomaz Martincic, Reza Azad, Dorit Merhof, Afshin Bozorgpour, Babak Azad, Alaa Sulaiman, Deepanshu Pandey, Pradyumna Gupta, Sumit Bhattacharya, Aman Sinha, Rohit Agarwal, Xinyun Qiu, Yucheng Zhang, Ming Fan, Yoonbeom Park, Dae-Hong Lee, Joon Sik Park, KwangYeol Lee, Jaehyung Ye
SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images. Medical Image Anal. 83 (2023)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, M. Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, B. Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, N. Saeed, Adam Shephard, P. Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
Why is the Winner the Best? CVPR (2023)
Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta
A novel PRFB decomposition for non-stationary time-series and image analysis. Signal Process. 207 (2023)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.
Why is the winner the best? CoRR (2023)
Prakhar Rai, Shiv Gehlot, Ritu Gupta, Anubha Gupta
Lidacs: a Lightweight Domain adaptive cell Segmentation Framework. AIMLR (2023)
Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta, Shiv Dutt Joshi
Proper Definitions of Dirichlet Conditions and Convergence of Fourier Representations [Lecture Notes]. IEEE Signal Process. Mag. 39 (5) (2022)
Binish Fatimah, Priya Aggarwal, Pushpendra Singh, Anubha Gupta
A comparative study for predictive monitoring of COVID-19 pandemic. Appl. Soft Comput. 122 (2022)
Arindam Dey, Amit Barde, Bowen Yuan, Ekansh Sareen, Chelsea Dobbins, Aaron Goh, Gaurav Gupta, Anubha Gupta, Mark Billinghurst
Effects of interacting with facial expressions and controllers in different virtual environments on presence, usability, affect, and neurophysiological signals. Int. J. Hum. Comput. Stud. 160 (2022)
Ashutosh Vaish, Anubha Gupta, Ajit Rajwade
CSR-PERT: Joint framework for MRI and HARDI data reconstruction using perturbed radial trajectory estimated from compressively sensed measurements. Comput. Biol. Medicine 150 (2022)
Akanksha Farswan, Ritu Gupta, Anubha Gupta
ARCANE-ROG: Algorithm for reconstruction of cancer evolution from single-cell data using robust graph learning. J. Biomed. Informatics 129 (2022)
Sachin Motwani, Anubha Gupta
Makers' Studio: Enabling Education and Skill Development Through ICT. IT Prof. 24 (1) (2022)
Vivek Ruhela, Anubha Gupta, K. Sriram, Gaurav Ahuja, Gurvinder Kaur, Ritu Gupta
A Unified Computational Framework for a Robust, Reliable, and Reproducible Identification of Novel miRNAs From the RNA Sequencing Data. Frontiers Bioinform. 2 (2022)
Ashutosh Vaish, Ajit Rajwade, Anubha Gupta
TL-HARDI: Transform learning based accelerated reconstruction of HARDI data. Comput. Biol. Medicine 143 (2022)
Anubha Gupta, Sachin Motwani, Abhishek Agarwal, Vishaal Udandarao, Tanmoy Chakraborty
Changing Landscape of Technical Education Pedagogy From Traditional to Practical e-Learning. Computer 55 (11) (2022)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
Biomedical image analysis competitions: The state of current participation practice. CoRR (2022)
Pushpendra Singh, Anubha Gupta, Shiv Dutt Joshi
General Parameterized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and $Z$ Transforms. IEEE Trans. Signal Process. 70 (2022)
Harsh Verma, Vivek Ashok Bohara, Anubha Gupta
DEC-aided SM-OFDM: A Spatial Modulation System with Deep Learning based Error Correction. AIMLSystems (2022)
Atul Anand, Tushar Kadian, Manu Kumar Shetty, Anubha Gupta
Explainable AI decision model for ECG data of cardiac disorders. Biomed. Signal Process. Control. 75 (2022)
Amulya Agrawal, Aniket Chauhan, Manu Kumar Shetty, Girish M. P, Mohit D. Gupta, Anubha Gupta
ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects. Comput. Biol. Medicine 146 (2022)
Priya Aggarwal, Narendra Kumar Mishra, Binish Fatimah, Pushpendra Singh, Anubha Gupta, Shiv Dutt Joshi
COVID-19 image classification using deep learning: Advances, challenges and opportunities. Comput. Biol. Medicine 144 (2022)
Dikshant Sagar, Priya Aggarwal, Akanksha Farswan, Ritu Gupta, Anubha Gupta
GCRS: A hybrid graph convolutional network for risk stratification in multiple myeloma cancer patients. Comput. Biol. Medicine 149 (2022)
Nalin Mathur, Anubha Gupta, Snehlata Jaswal, Rohit Verma
Deep learning helps EEG signals predict different stages of visual processing in the human brain. Biomed. Signal Process. Control. 70 (2021)
Sachin Motwani, Anubha Gupta
Experiencing Hyperloops: The Transit of the Future. Computer 54 (7) (2021)
Mansi Saxena, Anubha Gupta
Exploration of Temporal and Spectral Features of EEG Signals in Motor Imagery Tasks. COMSNETS (2021)
Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta, Shiv Dutt Joshi
AF-MNS: A Novel AM-FM Based Measure of Non-Stationarity. IEEE Commun. Lett. 25 (3) (2021)
Ihshan Gumilar, Ekansh Sareen, Reed Bell, Augustus Stone, Ashkan F. Hayati, Jingwen Mao, Amit Barde, Anubha Gupta, Arindam Dey, Gun A. Lee, Mark Billinghurst
A comparative study on inter-brain synchrony in real and virtual environments using hyperscanning. Comput. Graph. 94 (2021)
Anant Mittal, Priya Aggarwal, Luiz Pessoa, Anubha Gupta
Robust brain state decoding using bidirectional long short term memory networks in functional MRI. ICVGIP (2021)
Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta
An Improved Data Driven Dynamic SIRD Model for Predictive Monitoring of COVID-19. ICASSP (2021)
Pushpendra Singh, Anubha Gupta, Shiv Dutt Joshi
The Generalized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and Z Transforms. CoRR (2021)
Ekansh Sareen, Sélima Zahar, Dimitri Van De Ville, Anubha Gupta, Alessandra Griffa, Enrico Amico
Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations. NeuroImage 240 (2021)
Sachin Motwani, Tarun Sharma, Anubha Gupta
Ethics in Autonomous Vehicle Software: The Dilemmas. Computer 54 (8) (2021)
Vishaal Udandarao, Abhishek Agarwal, Anubha Gupta, Tanmoy Chakraborty
InPHYNet: Leveraging attention-based multitask recurrent networks for multi-label physics text classification. Knowl. Based Syst. 211 (2021)
Pranav Goyal, Satish Mulleti, Anubha Gupta, Yonina C. Eldar
DURAS: Deep Unfolded Radar Sensing Using Doppler Focusing. ICASSP (2021)
Shiv Gehlot, Anubha Gupta, Ritu Gupta
A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis. Medical Image Anal. 72 (2021)
Shiv Gehlot, Anubha Gupta
Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification andSegmentation. MLMI@MICCAI (2021)
Shubham Goswami, Suril Mehta, Dhruva Sahrawat, Anubha Gupta, Ritu Gupta
Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer. CoRR (2020)
Syesha Girdher, Anubha Gupta, Snehlata Jaswal, Vinayak Naik
Predicting Human Response in Feature Binding Experiment using EEG Data. COMSNETS (2020)
Shiv Gehlot, Anubha Gupta, Ritu Gupta
: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis. Medical Image Anal. 61 (2020)
Neha Jain, Nir Shlezinger, Bhawna Tiwari, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara, Pydi Ganga Bahubalindruni
eSampling: Energy Harvesting ADCs. CoRR (2020)
Neha Jain, Nir Shlezinger, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara
Energy Harvesting via Analog-to-Digital Conversion. EUSIPCO (2020)
Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, Devprakash Satpathy
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images. Medical Image Anal. 65 (2020)
Ashutosh Vaish, Anubha Gupta, Ajit Rajwade
MSR-Hardi: Accelerated Reconstruction of Hardi Data Using Multiple Sparsity Regularizers. ICIP (2020)
Shiv Gehlot, Anubha Gupta, Ritu Gupta
EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation. ICASSP (2020)
Shiv Gehlot, Anubha Gupta, Ritu Gupta
: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis. CoRR (2020)
Neha Jain, Navneet Anand Sah, Vivek Ashok Bohara, Anubha Gupta
Experimental Results for Energy Harvesting by Exploiting Inherent Inadequacies of Sampling Process for IoT Applications. ICC Workshops (2020)
Syesha Girdher, Anubha Gupta, Snehlata Jaswal, Vinayak Naik
Predicting Human Response in Feature Binding Experiment Using EEG Data. COMSNETS (2020)
Mansi Saxena, Ekansh Sareen, Anubha Gupta
Understanding Functional Brain Activation using Source Localization of EEG Signals in Motor Imagery Tasks. COMSNETS (2020)
Abhishek Agarwal, Nikhil Sachdeva, Raj Kamal Yadav, Vishaal Udandarao, Vrinda Mittal, Anubha Gupta, Abhinav Mathur
EDUQA: Educational Domain Question Answering System Using Conceptual Network Mapping. ICASSP (2019)
Sanjeev Sharma, Kuntal Deka, Vimal Bhatia, Anubha Gupta
Joint Power-Domain and SCMA-Based NOMA System for Downlink in 5G and Beyond. IEEE Commun. Lett. 23 (6) (2019)
Sanjeev Sharma, Vimal Bhatia, Anubha Gupta, Kuntal Deka
Design of Sub-Nyquist Receiver for Sparse and Localized UWB Signals. ISWCS (2019)
Neha Jain, Anubha Gupta, Vivek Ashok Bohara
PCI-MDR: Missing Data Recovery in Wireless Sensor Networks Using Partial Canonical Identity Matrix. IEEE Wirel. Commun. Lett. 8 (3) (2019)
Priya Aggarwal, Anubha Gupta
Group-fused multivariate regression modeling for group-level brain networks. Neurocomputing 363 (2019)
Sanjeev Sharma, Vimal Bhatia, Kuntal Deka, Anubha Gupta
Sparsity-Based Monobit UWB Receiver Under Impulse Noise Environments. IEEE Wirel. Commun. Lett. 8 (3) (2019)
Abhishek Agarwal, Nikhil Sachdeva, Raj Kamal Yadav, Vishaal Udandarao, Vrinda Mittal, Anubha Gupta, Abhinav Mathur
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping. CoRR (2019)
Sanjeev Sharma, Anubha Gupta, Vimal Bhatia
Compressed Sensing Based UWB Receiver Using Signal-Matched Sparse Measurement Matrix. IEEE Trans. Veh. Technol. 68 (1) (2019)
Shiv Gehlot, Akanksha Farswan, Anubha Gupta, Ritu Gupta
CT-NNBI: Method to Impute Gene Expression Data using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman Iteration. ISBI (2019)
Sanjeev Sharma, Vimal Bhatia, Anubha Gupta
Joint Symbol and ToA Estimation for Iterative Transmitted Reference Pulse Cluster UWB System. IEEE Syst. J. 13 (3) (2019)
Priya Aggarwal, Anubha Gupta
Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism. Medical Image Anal. 56 (2019)
Naushad Ansari, Anubha Gupta
WNC-ECGlet: Weighted non-convex minimization based reconstruction of compressively transmitted ECG using ECGlet. Biomed. Signal Process. Control. 49 (2019)
Neha Jain, Anubha Gupta, Vivek Ashok Bohara
TS-MC: Two Stage Matrix Completion Algorithm for Wireless Sensor Networks. ICASSP (2019)
Akanksha Farswan, Anubha Gupta
TV-DCT: Method to Impute Gene Expression Data Using DCT Based Sparsity and Total Variation Denoising. ICASSP (2019)
Anubha Gupta, Akanksha Farswan
Rethinking Teaching Practices for Signal Processing Education. ICASSP (2019)
Naushad Ansari, Anubha Gupta
Statistical Learning of Rational Wavelet Transform for Natural Images. ICASSP (2018)
Sanjeev Sharma, Vimal Bhatia, Anubha Gupta
An Iterative Transmitted Reference UWB Receiver for Joint ToA and Data Symbols Estimation. ICC (2018)
Simmi, Sonaal Kant, Pulkit Kumar, Anubha Gupta, Ritu Gupta
LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer. CoRR (2018)
Neha Jain, Vivek Ashok Bohara, Anubha Gupta
Poster: Sparse Signal Recovery and Energy Harvesting for Potential 5G Applications. MobiCom (2018)
Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta
U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool. CoRR (2018)
Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta
U-Segnet: Fully Convolutional Neural Network Based Automated Brain Tissue Segmentation Tool. ICIP (2018)
Sanjeev Sharma, Anubha Gupta, Vimal Bhatia
Impulse Noise Mitigation in IR-UWB Communication Using Signal Cluster Sparsity. IEEE Commun. Lett. 22 (3) (2018)
Anubha Gupta, Shiv Dutt Joshi, Pushpendra Singh
On the approximate discrete KLT of fractional Brownian motion and applications. J. Frankl. Inst. 355 (17) (2018)
Sanjeev Sharma, Kuntal Deka, Vimal Bhatia, Anubha Gupta
SCMA Codebook Based on Optimization of Mutual Information and Shaping Gain. GLOBECOM Workshops (2018)
Naushad Ansari, Anubha Gupta
M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework. IEEE Access 6 (2018)
Sanjeev Sharma, Abhijeet Bishnu, Anubha Gupta, Vimal Bhatia
Improved Noncoherent Receiver for Joint Range and Symbol Estimation. SPCOM (2018)
Dilnashin Anwar, Prince Garg, Vinayak Naik, Anubha Gupta, Akshay Kumar
Use of portable EEG sensors to detect meditation. COMSNETS (2018)
Anubha Gupta, Rahul Duggal
P-TELU: Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks. ICCV Workshops (2017)
Naushad Ansari, Anubha Gupta
Statistical learning of rational wavelet transform for natural images. CoRR (2017)
Naushad Ansari, Anubha Gupta
M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework. CoRR (2017)
Rahul Duggal, Anubha Gupta, Ritu Gupta, Pramit Mallick
SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging. MICCAI (3) (2017)
Priya Aggarwal, Anubha Gupta
Double temporal sparsity based accelerated reconstruction of compressively sensed resting-state fMRI. Comput. Biol. Medicine 91 (2017)
Naushad Ansari, Anubha Gupta
Image Reconstruction Using Matched Wavelet Estimated From Data Sensed Compressively Using Partial Canonical Identity Matrix. IEEE Trans. Image Process. 26 (8) (2017)
Naushad Ansari, Anubha Gupta
Image Reconstruction using Matched Wavelet Estimated from Data Sensed Compressively using Partial Canonical Identity Matrix. CoRR (2017)
Sanjeev Sharma, Anubha Gupta, Vimal Bhatia
A Simple Modified Peak Detection Based UWB Receiver for WSN and IoT Applications. VTC Spring (2017)
Priya Aggarwal, Anubha Gupta, Ajay Garg
Multivariate brain network graph identification in functional MRI. Medical Image Anal. 42 (2017)
Sanjeev Sharma, Anubha Gupta, Vimal Bhatia
Sparse Impulse Noise Minimization in UWB Communication using Signal Characteristics. CoRR (2017)
Sanjeev Sharma, Anubha Gupta, Vimal Bhatia
Joint Estimation of ToA and Data Symbols in UWB Communication in Presence of Impulsive Interference. GLOBECOM (2017)
Dilnashin Anwar, Anubha Gupta, Vinayak S. Naik, S. K. Sharma
Detecting meditation using a dry mono-electrode EEG sensor. COMSNETS (2017)
Sanjeev Sharma, Vimal Bhatia, Anubha Gupta
A Non-coherent UWB receiver using signal cluster sparsity. NCC (2017)
Priya Aggarwal, Parth Shrivastava, Tanay Kabra, Anubha Gupta
Optshrink LR + S: accelerated fMRI reconstruction using non-convex optimal singular value shrinkage. Brain Informatics 4 (1) (2017)
Sanjeev Sharma, Vimal Bhatia, Anubha Gupta
Sparsity-based narrowband interference mitigation in ultra wide-band communication for 5G and beyond. Comput. Electr. Eng. 64 (2017)
Pinkal Patel, Priya Aggarwal, Anubha Gupta
Classification of Schizophrenia versus normal subjects using deep learning. ICVGIP (2016)
Rahul Duggal, Anubha Gupta, Ritu Gupta, Manya Wadhwa, Chirag Ahuja
Overlapping cell nuclei segmentation in microscopic images using deep belief networks. ICVGIP (2016)
Sanjeev Kumar Sharma, Vimal Bhatia, Anubha Gupta
Sparsity based UWB receiver design in additive impulse noise channels. SPAWC (2016)
Akshay Sethi, Akshat Sinha, Ayush Agarwal, Chetan Arora, Anubha Gupta
Deep neural networks for segmentation of basal ganglia sub-structures in brain MR images. ICVGIP (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Anubha Gupta