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2020 – today
- 2025
[j55]Anubha Gupta
, Pushpendra Singh, Priya Aggarwal, Shiv Dutt Joshi:
Unified framework for linear scale invariant signals, systems, and transforms: A tutorial. Digit. Signal Process. 157: 104880 (2025)- 2024
- [c61]Arnav Goel, Medha Hira, Anubha Gupta:
Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning. Tiny Papers @ ICLR 2024 - [c60]Medha Hira, Arnav Goel, Anubha Gupta:
CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning. Tiny Papers @ ICLR 2024 - [i18]Medha Hira, Arnav Goel, Anubha Gupta:
CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning. CoRR abs/2406.00021 (2024) - [i17]Arnav Goel, Medha Hira, Anubha Gupta:
Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning. CoRR abs/2406.00022 (2024) - [i16]Arnav Goel, Medha Hira, Anubha Gupta:
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning. CoRR abs/2406.08931 (2024) - 2023
- [j54]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: 102677 (2023) - [j53]Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta:
A novel PRFB decomposition for non-stationary time-series and image analysis. Signal Process. 207: 108961 (2023) - [c59]Prakhar Rai, Shiv Gehlot, Ritu Gupta, Anubha Gupta:
Lidacs: a Lightweight Domain adaptive cell Segmentation Framework. AIMLR 2023: 9:1-9:6 - [c58]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, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod 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, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng 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, Sen 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: 19955-19966 - [c57]Ashutosh Vaish, Mihir Chaturvedi, Anubha Gupta, Ajit Rajwade:
Forest: White Matter Fiber Orientation Estimation Using Deep Learning in Diffusion MRI. MLSP 2023: 1-6 - [i15]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, Ali 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, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i14]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 abs/2308.05864 (2023) - 2022
- [j52]Binish Fatimah, Priya Aggarwal, Pushpendra Singh, Anubha Gupta:
A comparative study for predictive monitoring of COVID-19 pandemic. Appl. Soft Comput. 122: 108806 (2022) - [j51]Atul Anand, Tushar Kadian, Manu Kumar Shetty, Anubha Gupta:
Explainable AI decision model for ECG data of cardiac disorders. Biomed. Signal Process. Control. 75: 103584 (2022) - [j50]Ashutosh Vaish, Ajit Rajwade, Anubha Gupta:
TL-HARDI: Transform learning based accelerated reconstruction of HARDI data. Comput. Biol. Medicine 143: 105212 (2022) - [j49]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: 105350 (2022) - [j48]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: 105540 (2022) - [j47]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: 106048 (2022) - [j46]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: 106117 (2022) - [j45]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): 16-28 (2022) - [j44]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) - [j43]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: 102762 (2022) - [j42]Sachin Motwani, Anubha Gupta:
Makers' Studio: Enabling Education and Skill Development Through ICT. IT Prof. 24(1): 18-26 (2022) - [j41]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: 104055 (2022) - [j40]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): 77-84 (2022) - [j39]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: 1295-1309 (2022) - [c56]Harsh Verma, Vivek Ashok Bohara, Anubha Gupta:
DEC-aided SM-OFDM: A Spatial Modulation System with Deep Learning based Error Correction. AIMLSystems 2022: 8:1-8:6 - [e1]Jun Ma, Ronald Xie, Anubha Gupta, José Guilherme de Almeida, Gary D. Bader, Bo Wang:
Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, Competitions in Neural Information Processing Systems, December 7, 2022, New Orleans, LA, USA. Proceedings of Machine Learning Research 212, PMLR 2022 [contents] - [i13]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, J. 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 abs/2212.08568 (2022) - 2021
- [j38]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: 102996 (2021) - [j37]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: 62-75 (2021) - [j36]Sachin Motwani, Anubha Gupta:
Experiencing Hyperloops: The Transit of the Future. Computer 54(7): 37-45 (2021) - [j35]Sachin Motwani, Tarun Sharma, Anubha Gupta:
Ethics in Autonomous Vehicle Software: The Dilemmas. Computer 54(8): 46-55 (2021) - [j34]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): 990-994 (2021) - [j33]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: 106487 (2021) - [j32]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: 102099 (2021) - [j31]Ekansh Sareen, Sélima Zahar, Dimitri Van De Ville, Anubha Gupta, Alessandra Griffa, Enrico Amico:
Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations. NeuroImage 240: 118331 (2021) - [c55]Mansi Saxena, Anubha Gupta:
Exploration of Temporal and Spectral Features of EEG Signals in Motor Imagery Tasks. COMSNETS 2021: 736-740 - [c54]Pranav Goyal, Satish Mulleti, Anubha Gupta, Yonina C. Eldar:
DURAS: Deep Unfolded Radar Sensing Using Doppler Focusing. ICASSP 2021: 4070-4074 - [c53]Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta:
An Improved Data Driven Dynamic SIRD Model for Predictive Monitoring of COVID-19. ICASSP 2021: 8158-8162 - [c52]Anant Mittal, Priya Aggarwal, Luiz Pessoa, Anubha Gupta:
Robust brain state decoding using bidirectional long short term memory networks in functional MRI. ICVGIP 2021: 12:1-12:6 - [c51]Shiv Gehlot, Anubha Gupta:
Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification andSegmentation. MLMI@MICCAI 2021: 477-486 - [d1]Anubha Gupta, Ritu Gupta, Shiv Gehlot, Shubham Goswami:
SegPC-2021: Segmentation of Multiple Myeloma Plasma Cells in Microscopic Images. IEEE DataPort, 2021
- [i12]Pushpendra Singh, Anubha Gupta, Shiv Dutt Joshi:
The Generalized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and Z Transforms. CoRR abs/2103.11905 (2021) - 2020
- [j30]Shiv Gehlot, Anubha Gupta, Ritu Gupta:
SDCT-AuxNetθ: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis. Medical Image Anal. 61: 101661 (2020) - [j29]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: 101788 (2020) - [c50]Syesha Girdher, Anubha Gupta, Snehlata Jaswal, Vinayak Naik:
Predicting Human Response in Feature Binding Experiment Using EEG Data. COMSNETS 2020: 24-28 - [c49]Syesha Girdher, Anubha Gupta, Snehlata Jaswal, Vinayak Naik:
Predicting Human Response in Feature Binding Experiment using EEG Data. COMSNETS 2020: 53-57 - [c48]Mansi Saxena, Ekansh Sareen, Anubha Gupta:
Understanding Functional Brain Activation using Source Localization of EEG Signals in Motor Imagery Tasks. COMSNETS 2020: 58-63 - [c47]Neha Jain, Nir Shlezinger, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara:
Energy Harvesting via Analog-to-Digital Conversion. EUSIPCO 2020: 2299-2303 - [c46]Shiv Gehlot, Anubha Gupta, Ritu Gupta:
EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation. ICASSP 2020: 1389-1393 - [c45]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: 1-6 - [c44]Ashutosh Vaish, Anubha Gupta, Ajit Rajwade:
MSR-Hardi: Accelerated Reconstruction of Hardi Data Using Multiple Sparsity Regularizers. ICIP 2020: 2850-2854 - [i11]Shubham Goswami, Suril Mehta, Dhruva Sahrawat, Anubha Gupta, Ritu Gupta:
Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer. CoRR abs/2003.03295 (2020) - [i10]Shiv Gehlot, Anubha Gupta, Ritu Gupta:
SDCT-AuxNetθ: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis. CoRR abs/2006.00304 (2020) - [i9]Neha Jain, Nir Shlezinger, Bhawna Tiwari, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara, Pydi Ganga Bahubalindruni:
eSampling: Energy Harvesting ADCs. CoRR abs/2007.08275 (2020)
2010 – 2019
- 2019
- [j28]Naushad Ansari, Anubha Gupta:
WNC-ECGlet: Weighted non-convex minimization based reconstruction of compressively transmitted ECG using ECGlet. Biomed. Signal Process. Control. 49: 1-13 (2019) - [j27]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): 971-974 (2019) - [j26]Priya Aggarwal, Anubha Gupta:
Group-fused multivariate regression modeling for group-level brain networks. Neurocomputing 363: 140-148 (2019) - [j25]Priya Aggarwal, Anubha Gupta:
Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism. Medical Image Anal. 56: 11-25 (2019) - [j24]Sanjeev Sharma, Vimal Bhatia, Anubha Gupta:
Joint Symbol and ToA Estimation for Iterative Transmitted Reference Pulse Cluster UWB System. IEEE Syst. J. 13(3): 2629-2640 (2019) - [j23]Sanjeev Sharma, Anubha Gupta, Vimal Bhatia:
Compressed Sensing Based UWB Receiver Using Signal-Matched Sparse Measurement Matrix. IEEE Trans. Veh. Technol. 68(1): 993-998 (2019) - [j22]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): 673-676 (2019) - [j21]Sanjeev Sharma, Vimal Bhatia, Kuntal Deka, Anubha Gupta:
Sparsity-Based Monobit UWB Receiver Under Impulse Noise Environments. IEEE Wirel. Commun. Lett. 8(3): 849-852 (2019) - [c43]Akanksha Farswan, Anubha Gupta:
TV-DCT: Method to Impute Gene Expression Data Using DCT Based Sparsity and Total Variation Denoising. ICASSP 2019: 1244-1248 - [c42]Neha Jain, Anubha Gupta, Vivek Ashok Bohara:
TS-MC: Two Stage Matrix Completion Algorithm for Wireless Sensor Networks. ICASSP 2019: 7590-7594 - [c41]Anubha Gupta, Akanksha Farswan:
Rethinking Teaching Practices for Signal Processing Education. ICASSP 2019: 7878-7882 - [c40]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: 8137-8141 - [c39]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: 1315-1318 - [c38]Sanjeev Sharma, Vimal Bhatia, Anubha Gupta, Kuntal Deka:
Design of Sub-Nyquist Receiver for Sparse and Localized UWB Signals. ISWCS 2019: 582-586 - [i8]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 abs/1911.05013 (2019) - 2018
- [j20]Naushad Ansari, Anubha Gupta:
M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework. IEEE Access 6: 12213-12227 (2018) - [j19]Sanjeev Sharma, Anubha Gupta, Vimal Bhatia:
Impulse Noise Mitigation in IR-UWB Communication Using Signal Cluster Sparsity. IEEE Commun. Lett. 22(3): 558-561 (2018) - [j18]Anubha Gupta, Shiv Dutt Joshi, Pushpendra Singh:
On the approximate discrete KLT of fractional Brownian motion and applications. J. Frankl. Inst. 355(17): 8989-9016 (2018) - [c37]Dilnashin Anwar, Prince Garg, Vinayak Naik, Anubha Gupta, Akshay Kumar:
Use of portable EEG sensors to detect meditation. COMSNETS 2018: 705-710 - [c36]Sanjeev Sharma, Kuntal Deka, Vimal Bhatia, Anubha Gupta:
SCMA Codebook Based on Optimization of Mutual Information and Shaping Gain. GLOBECOM Workshops 2018: 1-6 - [c35]Naushad Ansari, Anubha Gupta:
Statistical Learning of Rational Wavelet Transform for Natural Images. ICASSP 2018: 4679-4683 - [c34]Sanjeev Sharma, Vimal Bhatia, Anubha Gupta:
An Iterative Transmitted Reference UWB Receiver for Joint ToA and Data Symbols Estimation. ICC 2018: 1-7 - [c33]Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta:
U-Segnet: Fully Convolutional Neural Network Based Automated Brain Tissue Segmentation Tool. ICIP 2018: 3503-3507 - [c32]Neha Jain, Vivek Ashok Bohara, Anubha Gupta:
Poster: Sparse Signal Recovery and Energy Harvesting for Potential 5G Applications. MobiCom 2018: 681-683 - [c31]Sanjeev Sharma, Abhijeet Bishnu, Anubha Gupta, Vimal Bhatia:
Improved Noncoherent Receiver for Joint Range and Symbol Estimation. SPCOM 2018: 462-466 - [i7]Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta:
U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool. CoRR abs/1806.04429 (2018) - [i6]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 abs/1810.07961 (2018) - 2017
- [j17]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): 65-83 (2017) - [j16]Priya Aggarwal, Anubha Gupta:
Double temporal sparsity based accelerated reconstruction of compressively sensed resting-state fMRI. Comput. Biol. Medicine 91: 255-266 (2017) - [j15]Sanjeev Sharma, Vimal Bhatia, Anubha Gupta:
Sparsity-based narrowband interference mitigation in ultra wide-band communication for 5G and beyond. Comput. Electr. Eng. 64: 83-95 (2017) - [j14]Priya Aggarwal, Anubha Gupta, Ajay Garg:
Multivariate brain network graph identification in functional MRI. Medical Image Anal. 42: 228-240 (2017) - [j13]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): 3680-3695 (2017) - [c30]Dilnashin Anwar, Anubha Gupta, Vinayak S. Naik, S. K. Sharma:
Detecting meditation using a dry mono-electrode EEG sensor. COMSNETS 2017: 508-513 - [c29]Sanjeev Sharma, Anubha Gupta, Vimal Bhatia:
Joint Estimation of ToA and Data Symbols in UWB Communication in Presence of Impulsive Interference. GLOBECOM 2017: 1-7 - [c28]Anubha Gupta, Rahul Duggal:
P-TELU: Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks. ICCV Workshops 2017: 974-978 - [c27]Rahul Duggal, Anubha Gupta, Ritu Gupta, Pramit Mallick:
SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging. MICCAI (3) 2017: 435-443 - [c26]Sanjeev Sharma, Vimal Bhatia, Anubha Gupta:
A Non-coherent UWB receiver using signal cluster sparsity. NCC 2017: 1-6 - [c25]Sanjeev Sharma, Anubha Gupta, Vimal Bhatia:
A Simple Modified Peak Detection Based UWB Receiver for WSN and IoT Applications. VTC Spring 2017: 1-6 - [i5]Naushad Ansari, Anubha Gupta:
Image Reconstruction using Matched Wavelet Estimated from Data Sensed Compressively using Partial Canonical Identity Matrix. CoRR abs/1702.01970 (2017) - [i4]Naushad Ansari, Anubha Gupta:
Statistical learning of rational wavelet transform for natural images. CoRR abs/1705.00821 (2017) - [i3]Sanjeev Sharma, Anubha Gupta, Vimal Bhatia:
Sparse Impulse Noise Minimization in UWB Communication using Signal Characteristics. CoRR abs/1707.04278 (2017) - [i2]Naushad Ansari, Anubha Gupta:
M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework. CoRR abs/1710.10394 (2017) - 2016
- [j12]Sanjeev Kumar Sharma, Anubha Gupta, Vimal Bhatia:
A New Sparse Signal-Matched Measurement Matrix for Compressive Sensing in UWB Communication. IEEE Access 4: 5327-5342 (2016) - [j11]Priya Aggarwal, Anubha Gupta:
Accelerated fMRI reconstruction using Matrix Completion with Sparse Recovery via Split Bregman. Neurocomputing 216: 319-330 (2016) - [j10]Priya Aggarwal, Anubha Gupta, Vivek Ashok Bohara:
Recursive Least Squares Channel Estimation for Rapidly Time-Varying Scenarios in IEEE 802.11p. Wirel. Pers. Commun. 89(1): 227-240 (2016) - [c24]Neha Jain, Vivek Ashok Bohara, Anubha Gupta:
Compressive cooperative communication with decode and forward relay. COMSNETS 2016: 1-2 - [c23]Naushad Ansari, Anubha Gupta:
Joint Framework for Signal Reconstruction Using Matched Wavelet Estimated from Compressively Sensed Data. DCC 2016: 580 - [c22]Anubha Gupta, Shiv Dutt Joshi:
Connection between DCT and Discrete-Time Fractional Brownian motion. DCC 2016: 598 - [c21]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: 20:1-20:7 - [c20]Pinkal Patel, Priya Aggarwal, Anubha Gupta:
Classification of Schizophrenia versus normal subjects using deep learning. ICVGIP 2016: 28:1-28:6 - [c19]Rahul Duggal, Anubha Gupta, Ritu Gupta, Manya Wadhwa, Chirag Ahuja:
Overlapping cell nuclei segmentation in microscopic images using deep belief networks. ICVGIP 2016: 82:1-82:8 - [c18]Sanjeev Kumar Sharma, Vimal Bhatia, Anubha Gupta:
Sparsity based UWB receiver design in additive impulse noise channels. SPAWC 2016: 1-5 - [i1]Naushad Ansari, Anubha Gupta, Rahul Duggal:
Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network. CoRR abs/1612.04966 (2016) - 2015
- [c17]Priya Aggarwal, Anubha Gupta, Ajay Garg:
Joint estimation of activity signal and HRF in fMRI using fused LASSO. GlobalSIP 2015: 829-833 - [c16]Naushad Ansari, Anubha Gupta, Ananya Sen Gupta:
Physics inspired CS based underwater acoustic channel estimation. GlobalSIP 2015: 1106-1110 - [c15]Garima Ahuja, Anubha Gupta, Harsh Wardhan, Venkatesh Choppella:
Assessing the Impact of Virtual Labs: A Case Study with the Lab on Advanced VLSI. ICALT 2015: 290-292 - [c14]Anupriya Gogna, Sri Harsha Gade, Anubha Gupta:
Design of signal-matched critically sampled FIR rational filterbank. ICASSP 2015: 3856-3860 - [c13]Naushad Ansari, Anubha Gupta:
Lifting-based rational wavelet design from a given signal. DSP 2015: 853-857 - [c12]Naushad Ansari, Anubha Gupta:
Signal-matched wavelet design via lifting using optimization techniques. DSP 2015: 863-867 - [c11]Priya Aggarwal, Anubha Gupta, Ajay Garg:
Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data. MICCAI (1) 2015: 142-149 - [c10]Priya Aggarwal, Anubha Gupta, Vivek Ashok Bohara:
A guard interval assisted OFDM symbol-based channel estimation for rapid time-varying scenarios in IEEE 802.lip. PIMRC 2015: 100-104 - 2014
- [c9]Mandar Karlekar, Anubha Gupta:
Stochastic modeling of EEG rhythms with fractional Gaussian Noise. EUSIPCO 2014: 2520-2524 - 2013
- [j9]Sakshi Agrawal, Anubha Gupta:
Fractal and EMD based removal of baseline wander and powerline interference from ECG signals. Comput. Biol. Medicine 43(11): 1889-1899 (2013) - [c8]Sakshi Agrawal, Anubha Gupta:
Projection operator based removal of baseline wander noise from ECG signals. ACSSC 2013: 957-961 - [c7]M. Sushma, Anubha Gupta, Jayanthi Sivaswamy:
Time-frequency analysis based motion detection in perfusion weighted MRI. NCVPRIPG 2013: 1-4 - [c6]M. Sushma, Anubha Gupta, Jayanthi Sivaswamy:
Semi-automated Magnification of Small Motions in Videos. PReMI 2013: 417-422 - 2011
- [j8]Anubha Gupta, Shiv Dutt Joshi:
Two-channel nonseparable wavelets statistically matched to 2-D images. Signal Process. 91(4): 673-689 (2011) - 2010
- [j7]Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani Thuraisingham:
Relationalization of provenance data in complex RDF reification nodes. Electron. Commer. Res. 10(3-4): 389-421 (2010) - [j6]Anubha Gupta, Shiv Dutt Joshi:
Characterization of second-order isotropic fractional brownian fields. IEEE Trans. Signal Process. 58(8): 4411-4415 (2010)
2000 – 2009
- 2009
- [j5]Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Bhavani Thuraisingham, Steven Seida:
R2d: a Framework for the Relational Transformation of RDF Data. Int. J. Semantic Comput. 3(4): 471-498 (2009) - [c5]Neha Agrawal, Anubha Gupta:
DCT Domain Message Embedding in Spread-Spectrum Steganography System. DCC 2009: 433 - [c4]Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani Thuraisingham:
A Relational Wrapper for RDF Reification. IFIPTM 2009: 196-214 - [c3]Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani Thuraisingham:
R2D: A Bridge between the Semantic Web and Relational Visualization Tools. ICSC 2009: 303-311 - [c2]Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani Thuraisingham:
R2D: Extracting Relational Structure from RDF Stores. Web Intelligence 2009: 361-366 - [c1]Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani Thuraisingham:
Relationalizing RDF stores for tools reusability. WWW 2009: 1059-1060 - 2008
- [j4]Anubha Gupta, Shiv Dutt Joshi:
Variable Step-Size LMS Algorithm for Fractal Signals. IEEE Trans. Signal Process. 56(4): 1411-1420 (2008) - [j3]Anubha Gupta, Shiv Dutt Joshi:
Some Studies on the Structure of Covariance Matrix of Discrete-Time fBm. IEEE Trans. Signal Process. 56(10-1): 4635-4650 (2008) - 2005
- [j2]Anubha Gupta, Shiv Dutt Joshi, Surendra Prasad:
A new method of estimating wavelet with desired features from a given signal. Signal Process. 85(1): 147-161 (2005) - [j1]Anubha Gupta, Shiv Dutt Joshi, Surendra Prasad:
A new approach for estimation of statistically matched wavelet. IEEE Trans. Signal Process. 53(5): 1778-1793 (2005)
Coauthor Index
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