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Anubha Gupta
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2020 – today
- 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, 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: 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
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
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