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Publications@SBILab

Below is the list of publications from this lab. For complete list on publications of individual faculty/student, please visit their personal web pages.

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2024

  • Journals
    1. Pushpendra Singh, Anubha Gupta, Shiv Dutt Joshi, "On the hypercomplex numbers and normed division algebras in all dimensions: A unified multiplication," PLoS ONE 19(10): e0312502, October 24, 2024, https://doi.org/10.1371/journal.pone.0312502. (2023 IF: 3.11) new
    2. Amisha Patel,...Anubha Gupta, Prasan Kumar Sahoo, Sejal Shah, “Harnessing machine learning technique to authenticate differentially expressed genes in oral squamous cell carcinoma,” Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology, ISSN: 2212-4403, October 2, 2024, https://doi.org/10.1016/j.oooo.2024.10.075. (2023 IF: 2) new
    3. Shuvodeep Saha, Chelsea Dobbins, Anubha Gupta and Arindam Dey, "Machine learning based classification of presence utilizing psychophysiological signals in immersive virtual environments," Scientific Reports, Nature, vol. 14, article no. 21667, September 17, 2024, https://doi.org/10.1038/s41598-024-72376-1. (2023 IF: 3.8) new
    4. Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta and Shiv Dutt Joshi, "On the convergence of Fourier representations and Schwartz distributions," Franklin Open, vol. 8, August 26, 2024, https://doi.org/10.1016/j.fraope.2024.100155. (2023 IF: 3.7) new
    5. Dikshant Sagar, Tanima Dwivedi, Anubha Gupta, Priya Aggarwal, Sushma Bhatnagar, Anant Mohan, Punit Kaur, and Ritu Gupta, “Clinical Features Predicting COVID-19 Severity Risk at the Time of Hospitalization,” Cureus, vol. 16, issue. 3:e57336, March 31, 2024, https://doi.org/10.7759/cureus.57336. (2022 IF: 1.2)
    6. Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu et al. "The multi-modality cell segmentation challenge: towards universal solutions" Nature Methods, vol. 21, pp. 1103-1113, March 26, 2024, https://doi.org/10.1038/s41592-024-02233-6. (2023 IF: 36.1)
    7. Dipankar Jiwani, Rachita Saha, Isha Sehrawat, Anubha Gupta, Anish Jain, Ritu Gupta, "Multiscale Feature Learning and Cross Spatial Attention in Mask R-CNN for enhanced Cell Instance Segmentation," International Journal of Machine Learning, vol. 14, no. 4, pp. 113-118, October 16, 2024, 10.18178/ijml.2024.14.4.1167.
  • Conferences
    1. Arnav Goel, Medha Hira, Anubha Gupta, "Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning", Interspeech, Greece, June 2024 10.21437/Interspeech.2024-1820. new
    2. Arnav Goel, Medha Hira, Anubha Gupta, "Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning", Tiny paper track, International Conference on Learning Representations (ICLR), Austria, May 2024. https://export.arxiv.org/pdf/2406.00022. new
    3. Arnav Goel, Medha Hira, Anubha Gupta, "CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning", Tiny paper track, International Conference on Learning Representations (ICLR), Austria, May 2024. https://export.arxiv.org/pdf/2406.00021. new
    4. Ashutosh Vaish, Anubha Gupta, Ajit Rajwade, "Accelerated Reconstruction of High angular resolution diffusion imaging with Trajectory Error Correction", International Conference on Image Processing and Machine Intelligence (IPMI), Philippines, April, 2024.
  • Patents
    1. Neha Jain, Vivek A. Bohara, Anubha Gupta. "A System and Method for Energy Harvesting during Analog Signal Sampling," India, Patent no. 528529, March 15, 2024. new
    2. Anubha Gupta, Ritu Gupta, Naushad Ansari. "System and Method for Minimal Residual Disease (MRD) Detection in Acute Lymphoblastic Leukemia," India, Patent no. 519991, March 5, 2024.
  • Articles
    1. Manu Kumar Shetty, Anubha Gupta, "Predictive AI model for drug development," Pharma Focus Asia Magazine, Issue 55, 2024, [Article]. new
  • Posters
    1. Ritu Gupta, Lalit Kumar, Anubha Gupta, Atul Sharma, Ranjit Kumar Sahoo, and Ajay Gogia, "Evaluating Ethnicity-specific Risk Stratification Models of Multiple Myeloma with Global Risk Stratification Models in Real Life Scenario", Accepted, 21st International Myeloma Society Annual Meeting, Brazil, September, 2024. new

2023

  • Journals
    1. Vivek Ruhela, Rupin Oberoi, Ritu Gupta, Anubha Gupta, "A Comprehensive Targeted Panel of 295 Genes: Unveiling Key Disease Initiating and Transformative Biomarkers in Multiple Myeloma" bioRxiv, November 1, 2023, https://doi.org/10.1101/2023.10.28.564536.
    2. Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta, “A novel PRFB decomposition for non-stationary time-series and image analysis,” Signal Processing, Elsevier, vol. 207, no. 108961, June, 2023, https://doi.org/10.1016/j.sigpro.2023.108961. (2022 IF: 4.729)
    3. Vivek Ruhela, Lingaraja Jena, Gurvinder Kaur, Ritu Gupta, Anubha Gupta, "BDL-SP: A Bio-inspired DL model for the identification of altered Signaling Pathways in Multiple Myeloma using WES data", American Journal of Cancer Research, Vol.13, no. 4, pp.1155-1187, April 30, 2023. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164815 .(2022 IF: 6.166). [PDF]
    4. Anubha Gupta, Shiv Gehlot, Shubham Goswami, Sachin Motwani, Ritu Gupta, et al., “SegPC-2021: A Challenge & Dataset on Segmentation of Multiple Myeloma Plasma Cells from Microscopic Images,” Medical Image Analysis, Elsevier, vol. 83, no. 102677, January 2023, https://doi.org/10.1016/j.media.2022.102677. (2022 IF: 13.828) [PDF]
    5. Nupur Das,Meetu Dahiya, Ritu Gupta, Lalit Kumar, Lata Rani, Anubha Gupta, Akanksha Farswan, Atul Sharma, and Om Dutt Sharma, “Graded Depth of Response and Neoplastic Plasma Cell Index as Indicators of Survival Outcomes in Patients With Multiple Myeloma Following Autologous Stem Cell Transplant,” American Journal of Clinical Pathology, Oxford Academic, aqac129, November 01, 2022, https://doi.org/10.1093/ajcp/aqac129. (2022 IF: 5.400)
  • Conferences
    1. Mohit Dayal Gupta,... Anubha Gupta, "Assessing the Impact of Rajyoga Meditation in Handling Burnout in Healthcare", Mind, Brain, and Consciousness Conference, IIT Mandi, December 2023.
    2. Prakhar Rai, Shiv Gehlot, Ritu Gupta, and Anubha Gupta. "LIDACS: A lightweight domain adaptive cell segmentation framework." In 2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics, pp. 1-6. September 2023. https://doi.org/10.1145/3625343.3625354.
    3. Ashutosh Vaish, Mihir Chaturvedi, Anubha Gupta, Ajit Rajwade, “Forest: White Matter Fiber Orientation Estimation Using Deep Learning in Diffusion MRI”, IEEE International Workshop on Machine Learning for Signal Processing, 2023.
    4. Matthias Eisenmann, ..., Anubha Gupta, et al., “Why is the winner the best?”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 19955-19966. June, 2023. https://openaccess.thecvf.com/content/CVPR2023/html/Eisenmann_Why_Is_the_Winner_the_Best_CVPR_2023_paper.html.
  • Book Chapter
    1. Anubha Gupta, Shiv Gehlot, Ritu Gutpa, "Microscopy Cancer Cell Imaging in B-lineage Acute Lymphoblastic Leukemia," State of the Art in Neural Networks and Their Applications, Elsevier, pp 1-28, January 1, 2023, https://doi.org/10.1016/B978-0-12-819872-8.00008-2.

2022

  • Journals
    1. Anubha Gupta, Sachin Motwani, Abhishek Agarwal, Vishaal Udandarao, and Tanmoy Chakraborty, “Changing Landscape of Technical Education Pedagogy from Traditional to Practical e-Learning,” Computer, IEEE Magazine, vol. 55, pp. 16-28, November 02, 2022, https://doi.org/10.1109/MC.2022.3164231. (2022 IF: 2.256)
    2. Ashutosh Vaish, Anubha Gupta, and Ajit Rajwade, “CSR-PERT: Joint framework for MRI and HARDI data reconstruction using perturbed radial trajectory estimated from compressively sensed measurements,” Computers in Biology and Medicine, Elsevier, vol. 150, no. 106117, November 2022, https://doi.org/10.1016/j.compbiomed.2022.106117. (2022 IF: 6.698)
    3. Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta, and Shiv Dutt Joshi, “Proper Definitions of Dirichlet Conditions and Convergence of Fourier Representations [Lecture Notes],” IEEE Signal Processing Magazine, vol. 39, no. 5, pp. 77-84, September, 2022, https://doi.org/10.1109/MSP.2022.3172620. (2022 IF: 9.72) [PDF]
    4. Gurvinder Kaur, Lingaraja Jena, Ritu Gupta, Akanksha Farswan, Anubha Gupta, and K. Sriram, "Correlation of changes in subclonal architecture with progression in the MMRF CoMMpass study," Translational Oncology, Elsevier, vol. 23, no. 101472, pp. 01-12, September, 2022, https://doi.org/10.1016/j.tranon.2022.101472. (2022 IF: 4.803) [PDF]
    5. Manu Kumar Shetty, ..., Anubha Gupta, and Mohit Gupta, "Machine learning based model for risk prediction after ST-Elevation myocardial infarction: Insights from the North India ST elevation myocardial infarction (NORIN-STEMI) Registry," International Journal of Cardiology, Elsevier, vol. 362, pp. 6-13, September, 2022, https://doi.org/10.1016/j.ijcard.2022.05.023. (2022 IF: 4.164) [PDF]
    6. Dikshant Sagar, Priya Aggarwal, Akanksha Farswan, Ritu Gupta, and Anubha Gupta, "GCRS: A hybrid graph convolutional network for risk stratification in multiple myeloma cancer patients," Computers in Biology and Medicine, Elsevier, no. 106048, August 24, 2022, https://doi.org/10.1016/j.compbiomed.2022.106048. (2022 IF: 6.698) [PDF] [Code]
    7. Mohit D.Gupta, Shekhar Kunal, M.P.Girish, Anubha Gupta, and Rakesh Yadav, "Artificial intelligence in cardiology: The past, present and future," Indian Heart Journal, Elsevier, vol. 74, no. 4, pp. 265-269, July-August, 2022, https://doi.org/10.1016/j.ihj.2022.07.004. (2022 IF: 1.363) [PDF]
    8. Vivek Ruhela, Anubha Gupta, K. Sriram, Gaurav Ahuja, Gurvinder Kaur and Ritu Gupta, "A Unified Computational Framework for a Robust, Reliable, and Reproducible Identification of Novel miRNAs From the RNA Sequencing Data," Frontiers in Bioinformatics, Frontiers, vol. 2, no. 842051, pp. 01-20, July 08, 2022, https://doi.org/10.3389/fbinf.2022.842051. [PDF] [miRPipe GitHub] [miRPipe Docker] [miRSim GitHub]
    9. Amulya Agrawal, Aniket Chauhan, Manu Kumar Shetty, Girish M. P, Mohit D. Gupta, and Anubha Gupta, "ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects," Computers in Biology and Medicine, Elsevier, vol. 146, no. 105540, pp. 01-11, July, 2022, https://doi.org/10.1016/j.compbiomed.2022.105540. (2021 IF: 5.59) [PDF]
    10. Binish Fatimah, Priya Aggarwal, Pushpendra Singh, and Anubha Gupta, "A comparative study for predictive monitoring of COVID-19 pandemic," Applied Soft Computing, Elsevier, vol. 122, no. 108806, pp. 01-18, June, 2022, https://doi.org/10.1016/j.asoc.2022.108806. (2022 IF: 6.725) [PDF]
    11. Shiv Gahlot, Naushad Ansari, and Anubha Gupta, "WTL-I: Mutual Information-Based Wavelet Transform Learning for Hyperspectral Imaging," Frontiers in Signal Processing, vol. 02, May 02, 2022, https://doi.org/10.3389/frsip.2022.854207. [PDF]
    12. Akanksha Farswan, Ritu Gupta, and Anubha Gupta, "ARCANE-ROG: Algorithm for Reconstruction of Cancer Evolution from single-cell data using Robust Graph Learning," Journal of Biomedical Informatics, Elsevier, vol. 129, May, 2022, https://doi.org/10.1016/j.jbi.2022.104055. (2022 IF: 8) [PDF] [Code]
    13. Pushpendra Singh, and Anubha Gupta, "Generalized SIR (GSIR) epidemic model: An improved framework for the predictive monitoring of COVID-19 pandemic," ISA transactions, Elsevier, vol. 124, pp. 31-40, May, 2022, https://doi.org/10.1016/j.isatra.2021.02.016. (2022 IF: 5.468) [PDF]
    14. Priya Aggarwal, Narendra Kumar Mishra, Binish Fatimah, Pushpendra Singh, Anubha Gupta, and Shiv Dutt Joshi, "COVID-19 image classification using deep learning: Advances, challenges and opportunities," Computers in Biology and Medicine, Elsevier, vol. 144, no. 105350, pp. 01-23, May, 2022, https://doi.org/10.1016/j.compbiomed.2022.105350. (2022 IF: 4.589) [PDF]
    15. Atul Anand,Tushar Kadian, Manu Kumar Shetty, and Anubha Gupta, “Explainable AI Decision Model for ECG Data of Cardiac Disorders,” Biomedical Signal Processing and Control, vol. 75, no. 103584, May, 2022, https://doi.org/10.1016/j.bspc.2022.103584. (2022 IF: 3.880) [PDF] [Calculator]
    16. Ritu Gupta, Shiv Gehlot, and Anubha Gupta, “C-NMC: B-Lineage Acute Lymphoblastic Leukaemia: A Blood Cancer Dataset,” Medical Engineering & Physics, Elsevier, vol. 103, no. 103793, May, 2022, https://doi.org/10.1016/j.medengphy.2022.103793. (2022 IF: 2.242) [PDF]
    17. Akanksha Farswan, Anubha Gupta, Lingaraja Jena, Vivek Ruhela, Gurvinder Kaur, and Ritu Gupta, "Characterizing the mutational landscape of MM and its precursor MGUS," American Journal of Cancer Research, Elsevier, vol. 12, no. 4, pp. 1919-1933, PMID: 35530275, PMCID: PMC9077084, April 15, 2022. (2022 IF: 6.166) [PDF]
    18. Bhushan Shah, Shekhar Kunal, Ankit Bansal, Jayant Jain, Shubhankar Poundrik, Manu Kumar Shetty, Vishal Batra, Vivek Chaturvedi, Jamal Yusuf, Saibal Mukhopadhyay, Sanjay Tyagi, Girish, Anubha Gupta, and Mohit Dayal Gupta, "Heart rate variability as a marker of cardiovascular dysautonomia in post-COVID-19 syndrome using artificial intelligence," Indian Pacing and Electrophysiology Journal (IPEJ), vol. 22, no. 02, pp. 70-76, March-April, 2022, https://doi.org/10.1016/j.ipej.2022.01.004. (2022 IF: 0.58) [PDF]
    19. Ashutosh Vaish, Ajit Rajwade, and Anubha Gupta, "TL-HARDI: Transform Learning based Accelerated Reconstruction of HARDI data," Computers in Biology and Medicine (CIBM), vol. 143, no. 105212, April, 2022, https://doi.org/10.1016/j.compbiomed.2022.105212. (2022 IF: 4.589) [PDF]
    20. Arindam Dey, Amit Barde, Bowen Yuan, Ekansh Sareen, Chelsea Dobbins, Aaron Goh, Gaurav Gupta, Anubha Gupta, and Mark Billinghurst, “Effects of Interacting with Facial Expressions and Controllers in Different Virtual Environments on Presence, Usability, Affect, and Neurophysiological Signals,” International Journal of Human-Computer Studies, ISSN: 2156-6976, pp. 5659-5679, vol. 160, no. 102762, April, 2022, https://doi.org/10.1016/j.ijhcs.2021.102762. (2021 IF: 3.632) [PDF]
    21. Sachin Motwani, and Anubha Gupta, "Makers Studio: Enabling Education and Skill Development through ICT," IT Professional, IEEE Magazine, vol. 24, no. 1, pp. 18-26, February 22, 2022, https://doi.org/10.1109/MITP.2021.3089429. (2022 IF: 2.626)
    22. Pushpendra Singh, Anubha Gupta, and Shiv Dutt Josh, “General Parameterized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and Z Transforms,” IEEE Transactions on Signal Processing, vol. 70, pp. 1295 - 1309, February 18, 2022, https://doi.org/10.1109/TSP.2022.3152607. (2022 IF: 4.931)
  • Conferences
    1. Harsh Verma, Vivek Ashok Bohara, and Anubha Gupta, "DEC-aided SM-OFDM: A Spatial Modulation System with Deep Learning based Error Correction," in International Conference on AI-ML Systems, Bangalore, India, October 12-15, 2022.
  • Book Chapter
    1. Amit Singhal, ..., Anubha Gupta and Mohit D. Gupta, "Ambient Fine Particulate Matter and COVID-19 in India," Pattern Recognition and Data Analysis with Applications, Springer, pp.617-624, September 02, 2022, http://dx.doi.org/10.1007/978-981-19-1520-8_50.
  • Posters
    1. Gurvinder Kaur, Lingaraja Jena, Ritu Gupta, Akanksha Farswan, Anubha Gupta, and Sririam K, "P-068: Relating subclonal mutational shifts with progression of multiple myeloma," Clinical Lymphoma, Myeloma and Leukemia, Elsevier, vol. 22, Supplement, pp. S72-S73, August, 2022, https://doi.org/10.1016/S2152-2650(22)00398-6.
    2. Ritu Gupta, Gurvinder Kaur, Lingaraja Jena, Anubha Gupta, Akanksha Farswan, Atul Sharma, and Lalit Kumar, "P-066: Identification of novel driver SPANXD and preferential loss of arginine codons in multiple myeloma," Clinical Lymphoma, Myeloma and Leukemia, Elsevier, vol. 22, Supplement, pp. S71-S72, August, 2022, https://doi.org/10.1016/S2152-2650(22)00396-2.
  • arXiv
    1. Matthias Eisenmann, Annika Reinke, ...., Anubha Gupta,....et al. "Biomedical image analysis competitions: The state of current participation practice." arXiv preprint arXiv:2212.08568, 2022.
    2. Pushpendra Singh, Amit Singhal, Binish Fatimah, and Anubha Gupta, "A Novel PRFB Decomposition for Nonstationary Time Series and Image Analysis," TechRxiv, IEEE, Preprint, pp. 1-14, September 01, 2022, https://doi.org/10.36227/techrxiv.20709187.v1.
    3. Pushpendra Singh, Anubha Gupta, and Shiv Dutt Joshi, "On the hypercomplex numbers of all finite dimensions: Beyond quaternions and octonians," TechRxiv, IEEE, Preprint, pp. 1-11, March, 2022, https://doi.org/10.36227/techrxiv.19345820.v1.

2021

  • Journals
    1. Akanksha Farswan*, Lingaraja Jena*, Gurvinder Kaur*, Anubha Gupta, Ritu Gupta, Lata Rani, Atul Sharma, Lalit Kumar (*Authors contributed equally), “Branching clonal evolution patterns predominate mutational landscape in Multiple Myeloma,” American Journal of Cancer Research, ISSN: 2156-6976, pp. 5659-5679 November 15, 2021, PMID: 34873486. (2021 IF: 6.166) [PDF]
    2. Akanksha Farswan, Anubha Gupta, Sriram K., Atul Sharma, Lalit Kumar, Ritu Gupta, “Does ethnicity matter in multiple myeloma risk prediction in the era of genomics and novel agents? Evidence from real world data,” Frontiers in Oncology, pp. 1-14, November 09, 2021, https://doi.org/10.3389/fonc.2021.720932. (2021 IF: 6.244) [PDF] [Calculator]
    3. Mohit D.Gupta, Manish Kumar Jha, Ankit Bansal, Rakesh Yadav, Sivasubramanian Ramakrishanan, M.P.Girish, Prattay G.Sarkar, Arman Qamar, Suresh Kumar, Satish Kumar, Ajeet Jain, Rajni Saijpaul, Vandana Gupta, Deepankar Kansal, Sandeep Garg, Sameer Arora, P.S. Biswas, Jamal Yusuf, Rajeev K. Malhotra, Vishal Batra, Sanjeev Kathuria, Vimal Mehta, Safal, Manu Kumar Shetty, Saibal Mukhopadhyay, Sanjay Tyagi, Anubha Gupta, for the BRUCEE Li Investigators, “COVID 19-related Burnout among Healthcare Workers in India and ECG based Predictive Machine Learning Model: Insights from the BRUCEE- Li Study,” Indian Heart Journal, Elsevier, pp. 1-8, October 18, 2021, https://doi.org/10.1016/j.ihj.2021.10.002. (2021 IF: 1.363) [PDF]
    4. Ekansh Sareen, Sélima Zahar, Dimitri Van De Ville, Anubha Gupta, Alessandra Griffa, and Enrico Amico, “Exploring MEG Brain Fingerprints: Evaluation, Pitfalls, and Interpretations,” NeuroImage, Elsevier, vol. 240, article no. 118331, pp. 1-12, ISSN 1053-8119, October 15, 2021, https://doi.org/10.1016/j.neuroimage.2021.118331. (2021 IF: 6.556) [PDF]
    5. Nalin Mathur, Anubha Gupta, Snehlata Jaswal, and Rohit Verma, "Deep learning helps EEG signals predict different stages of visual processing in the human brain," Biomedical Signal Processing and Control, Elsevier, vol. 70, article no. 102996, pp. 1-12, ISSN 1746-8094, September 2021, https://doi.org/10.1016/j.bspc.2021.102996. (2021 IF: 3.88) [PDF]
    6. S. Mahajan, S Kunal, B Shah, S Garg, GM Palleda, A Bansal, V Batra, J Yusuf, S Mukhopadhyay, S Kumar, S Tyagi, Anubha Gupta, and MD Gupta, "Left ventricular global longitudinal strain in COVID-19 recovered patients," Echocardiography, PMID: 34555203, Sep 23, 2021, https://doi.org/10.1111/echo.15199 . (2021 IF: 1.724) [PDF]
    7. Akanksha Farswan, Anubha Gupta, Ritu Gupta, Saswati Hazra, Sadaf Khan, Lalit Kumar, and Atul Sharma, “AI-Supported Modified Risk Staging for Multiple Myeloma Cancer useful in real-world scenario,” Translational Oncology, Elsevier, vol. 14, no. 9, article no. 101157, pp. 1-9, September 2021, https://doi.org/10.1016/j.tranon.2021.101157. (2021 IF: 4.243) [PDF] [Calculator]
    8. Sachin Motwani, Tarun Sharma, and Anubha Gupta, "Ethics in Autonomous Vehicle Software: The Dilemmas," Special issue on Safety, Security, and Reliability of Autonomous Vehicle Software, Computer, IEEE Magazine, vol. 54, no. 8, pp. 46-55, August 02, 2021, http://dx.doi.org/10.1109/MC.2021.3077576. (2021 IF: 4.419) [PDF]
    9. Shiv Gehlot, Anubha Gupta, and Ritu Gupta, "A CNN-based Unified Framework utilizing Projection Loss in Unison with Label Noise Handling for Multiple Myeloma Cancer Diagnosis," Medical Image Analysis Journal, Elsevier, vol. 72, article no. 102099, pp. 1-40, ISSN 1361-8415, August 2021, https://doi.org/10.1016/j.media.2021.102099. (2020 IF: 8.545) [PDF]
    10. Sachin Motwani, and Anubha Gupta, "Experiencing Hyperloops: The Transit of the Future," Computer, IEEE Magazine, vol. 54, no. 7, pp. 37-45, July 2021, https://doi.org/10.1109/MC.2021.3074006. (2021 IF: 4.419) [PDF]
    11. Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta, and Shiv Dutt Joshi, "AF-MNS: A Novel AM-FM Based Measure of Non-Stationarity," IEEE Communications Letters, vol. 25, no. 3, pp. 990-994, March 2021, https://doi.org/10.1109/LCOMM.2020.3041722. (2021 IF: 3.419) [PDF]
    12. Siddharth Panwar, Shiv Dutt Joshi, Anubha Gupta, Sandhya Kunnatur, and Puneet Agarwal, "Recursive Dynamic Functional Connectivity Reveals a Characteristic Correlation Structure in Human Scalp EEG," Scientific Reports, Nature, vol. 11, no. 2822, pp. 1-15, February 02, 2021, https://doi.org/10.1038/s41598-021-81884-3. (2021 IF: 3.998) [PDF]
    13. MD Gupta, A Bansal, PG Sarkar, MP Girish, ..., and Anubha Gupta, "Design and rationale of an intelligent algorithm to detect BuRnoUt in HeaLthcare workers in COVID era using ECG and artificiaL intelligence: The BRUCEE-LI study," Indian Heart Journal, vol. 73, PMID: 34673026, pp. 109-113, Jan-Feb, 2021, https://doi.org/10.1016/j.ihj.2020.11.145. (2021 IF: 1.363) [PDF] [Calculator]
    14. Ihshan Gumilar, Ekansh Sareen, Reed Bell, Augustus Stone, Ashkan Hayati, Jingwen Mao, Amit Barde, Anubha Gupta, Arindam Dey, Gun Lee, and Mark Billinghurst, “A Comparative Study on Inter-Brain Synchrony in Real and Virtual Environments using Hyperscanning,” Computers & Graphics, Elsevier, vol. 94, pp. 62-75, February 2021, https://doi.org/10.1016/j.cag.2020.10.003. (2021 IF: 2.34) [PDF]
    15. Vishaal Udandarao, Abhishek Agarwal, Anubha Gupta, and Tanmoy Chakraborty, “InPHYNet: Leveraging Attention-based Multitask Recurrent Networks for Multi-label Physics Text Classification,” Knowledge-Based Systems, Elsevier, vol. 211, article no. 106487, pp. 1-17, January 2021, https://doi.org/10.1016/j.knosys.2020.106487. (2021 IF: 8.038) [PDF]
  • Conferences
    1. Anubha Gupta, Vandana Gupta, Deepankar Kansal, Manu Kumar Shetty, Girish Palleda, and Mohit D. Gupta, "X-ECGNet: An Interpretable DL Model for Stress Detection Using ECG in COVID-19 Healthcare Workers," IEEE BIOSMART Conference 2021, Paris, pp. 01-05, December 8-10, 2021, https://doi.org/10.1109/BioSMART54244.2021.9677750.
    2. Anubha Gupta, Jayant Jain, Shubhankar Poundrik, Manu Kumar Shetty, Girish Palleda, and Mohit D. Gupta, "Interpretable AI Model-Based Predictions of ECG Changes in COVID-Recovered Patients," IEEE BIOSMART Conference 2021, Paris, December 8-10, 2021, https://doi.org/10.1109/BioSMART54244.2021.9677747.
    3. Anant Mittal, Priya Aggarwal, Luiz Pessoa, and Anubha Gupta, "Robust Brain State Decoding using Bidirectional Long Short Term Memory Networks in functional MRI," the 12th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 20-21), Jodhpur, India, pp.1-6, December 19, 2021, https://doi.org/10.1145/3490035.3490269. [PDF]
    4. Akhil Mahajan, Manu Kumar Shetty, Girish M. P., Mohit D.Gupta, and Anubha Gupta, "Building an AI Model on ECG Data for Identifying Burnout/Stressed Healthcare Workers Involved in Covid-19 Management," the IEEE International Conference on Electronics Communication and Computing Technologies, 2021, pp. 1-6, November 2021, https://doi.org/10.1109/ICECCT52121.2021.9616635. [PDF]
    5. Shiv Gehlot, and Anubha Gupta, "Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification and Segmentation," MLMI 2021: Machine Learning in Medical Imaging, 12th International Workshop, Strasbourg, France, pp. 477-486, September 21, 2021, https://doi.org/10.1007/978-3-030-87589-3_49. [PDF]
    6. Pranav Goyal, Satish Mulleti, Anubha Gupta, and Yonina Eldar, "DURAS: Deep Unfolded Radar Sensing Using Doppler Focusing," ICASSP 2021: IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Ontario, Canada, pp. 4070-4074, June 6-11, 2021, https://doi.org/10.1109/ICASSP39728.2021.9414967. (2020 IS: 4.65) [PDF]
    7. Pushpendra Singh, Amit Singhal, Binish Fatimah, and Anubha Gupta, "An Improved Data Driven Dynamic SIRD model for Predictive Monitoring of COVID-19," ICASSP 2021: IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Ontario, Canada, pp. 8158-8162, June 6-11, 2021, https://doi.org/10.1109/ICASSP39728.2021.9414762. (2020 IS: 4.65) [PDF]
    8. Mansi Saxena, and Anubha Gupta, "Exploration of Temporal and Spectral Features of EEG Signals in Motor Imagery Tasks," COMSNETS 2021: 13th International Conference on COMmunication Systems & NETworkS, Bangaluru, India, Electronic ISBN 978-1-7281-9127-0, pp. 736-740, January 5-9, 2021, https://doi.org/10.1109/COMSNETS51098.2021.9352929. (2019 IS: 0.99) (The paper received the "Best Paper Award") [PDF]
  • Posters
    1. Akanksha Farswan, Anubha Gupta, Vivek Ruhela, Lingaraja Jena, Gurvinder Kaur, Sriram K, and Ritu Gupta, "Prognostic value of TMB and its association with overall survival in newly diagnosed multiple myeloma patients," poster presentation, CMMC Symposium, Sept 26-28, 2021, Cologne, Germany.
    2. Gurvinder Kaur, Ritu Gupta,Lingaraja Jena, Akanksha Farswan, Anubha Gupta, Lalit Kumar, Lata Rani, and Atul Sharma, "Whole Exome Sequencing provides novel insights in synonymous and non synonymous mutational landscapes of Multiple Myeloma," poster presentation, 18th International Myeloma Workshop (IMW), Sept 8-11, 2021, Vienna, Austria.
    3. Vivek Ruhela, Akanksha Farswan, Ritu Gupta, Sriram K, Gurvinder Kaur, and Anubha Gupta, "AI-based models for the identification of critical genetic biomarkers to distinguish MM from MGUS using the WES data," poster presentation, 18th International Myeloma Workshop (IMW), Sept 8-11, 2021, Vienna, Austria.
    4. Ritu Gupta, Lingaraja Jena, Akanksha Farswan, Anubha Gupta, Lalit Kumar, Lata Rani, Atul Sharma, and Gurvinder Kaur, "Clonal evolution in multiple myeloma evaluated by Whole Exome Sequencing," poster presentation, 18th International Myeloma Workshop (IMW), Sept 8-11, 2021, Vienna, Austria.
    5. Mohit Dayal Gupta et al., "Machine Learning to identify high-risk patients after stemi in low/middle income countries," Journal of the American College of Cardiology, vol. 77, no.18_Supplement_1, pp. 147-147, May 16, 2021. [PDF]
    6. Mohit Dayal Gupta et al., "Prevalence and predictors of COVID-19 related burnout among healthcare workers; findings from BRUCEE-LI study," Journal of the American College of Cardiology, vol. 77, no. 18_Supplement_1, pp. 3110-3110, May 11, 2021. [PDF]
  • arXiv
    1. Pushpendra Singh, Anubha Gupta, and Shiv Dutt Joshi, "The Generalized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and Z Transforms," arXiv, preprint, pp. 1-18, arXiv:2103.11905, February 12, 2021. [PDF]
  • Patents
    1. Puneet Agarwal, Siddharth Panwar, Shiv Dutt Joshi, and Anubha Gupta. "System and Method to Diagnose and Predict Different Systemic Disorders and Mental States," Patent and Trademark Office, Washington, DC, U.S., Patent no. US11006848B2, pp. 1-14, May 18, 2021. [Available]
  • Data Citations

2020

  • Journals
    1. Ekansh Sareen, Lakshya Singh, Anubha Gupta, Rohit Verma, G. Krishnaveni Achary, and Blessin Varkey, "Functional Brain Connectivity Analysis in Intellectual Developmental Disorder during Music Perception," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 11, pp. 2420-2430, November 2020, doi: 10.1109/TNSRE.2020.3024937. (2021 IF: 3.802 ) [PDF]
    2. Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, and Devprakash Satpathy, "GCTI-SN: Geometry-Inspired Chemical and Tissue Invariant Stain Normalization of Microscopic Medical Images," Medical Image Analysis, Elsevier, vol. 65, article no. 101788, pp. 1-18, October 2020, doi: 10.1016/j.media.2020.101788. (2019 IF: 11.148) [PDF][Code]
    3. Neha Jain, Vivek Ashok Bohara, and Anubha Gupta, "PCI-MF: Partial canonical identity and Matrix Factorization Framework for channel estimation in mmWave Massive MIMO systems," IEEE Open Journal of Signal Processing, vol. 1, Electronic ISSN 2644-1322 pp. 135-145, August 27, 2020, doi: 10.1109/OJSP.2020.3020002. (2021 IF: (not yet available) ) [PDF]
    4. Ekansh Sareen, Lakshya Singh, Blessin Varkey, Krishnaveni Achary, and Anubha Gupta, "EEG Dataset of Individuals with Intellectual and Developmental Disorder and Healthy Controls under rest and music stimuli," Data in Brief, Elsevier, vol. 30, article no. 105488, ISSN 2352-3409, pp. 1-9, June 2020, doi: 10.1016/j.dib.2020.105488. [PDF]
    5. Shiv Gehlot, Anubha Gupta, and Ritu Gupta, “SDCT-AuxNetθ: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis,” Medical Image Analysis, Elsevier, vol. 61, article no. 101661, pp. 1-15, April 2020, doi: 10.1016/j.media.2020.101661. (2019 IF: 11.148) [PDF] [Code]
    6. Gurvinder Kaur, Vivek Ruhela, Lata Rani, Anubha Gupta, Krishnamachari Sriram, Ajay Gogia, Atul Sharma, Lalit Kumar, and Ritu Gupta, "RNA-Seq profiling of deregulated miRs in CLL and their impact on clinical outcome,” Blood Cancer Journal, Nature, vol. 10, no. 6, pp. 1-9, January 13, 2020, doi: 10.1038/s41408-019-0272-y. (2020 IF: 7.895) [PDF]
    7. Akanksha Farswan, Anubha Gupta, Ritu Gupta, and Gurvinder Kaur, "Imputation of gene expression data in blood cancer and its significance in inferring biological pathways", Frontiers in Oncology, vol. 9, article no. 1442, pp. 1-14, January 08, 2020, doi: 10.3389/fonc.2019.01442 (2020 IF: 4.13) [PDF]
  • Conferences
    1. Ashutosh Vaish, Anubha Gupta and Ajit Rajwade, "MSR-HARDI: Accelerated Reconstruction of HARDI using Multiple Sparsity Regularizers", IEEE International Conference on Image Processing (ICIP) , 2020
    2. Neha Jain, Nir Shlezinger, Yonina C. Eldar, Anubha Gupta and Vivek Ashok Bohara, "Energy Harvesting vis Analog-to-digital conversion", European signal processing conference (EUSIPCO), 2020
    3. Shubham Goswami, Suril Mehta, Dhruv Sahrawat, Anubha Gupta and Ritu Gupta, “Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer", ICLR workshop on Affordable AI in healthcare, 2020. arXiv preprint arXiv:2003.03295.
    4. Neha Jain, Navneet Anand Sah, Vivek Ashok Bohara and Anubha Gupta, "Experimental Results for Energy Harvesting by exploiting inherent inadequacies of Sampling process for IoT application", IEEE International Conference on Communications (ICC), Workshop, 2020.
    5. Shiv Gehlot, Anubha Gupta and Ritu Gupta, "EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation," ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 1389-1393. [PDF] [Code]
    6. Mansi Saxena, Ekansh Sareen and Anubha Gupta, "Understanding Functional Brain Activation using Source Localization of EEG Signals in Motor Imagery Tasks," IEEE 12th International Conference on Communication Systems and Networks, January 2020. [PDF] ( The paper got the "Best Paper Award". )
    7. Syesha Girdher, Anubha Gupta, Snehlata Jaswal and Vinayak Naik, "Predicting Human Response in Feature Binding Experiment Using EEG Data," IEEE 12th International Conference on Communication Systems and Networks, January 2020. [PDF]
  • arXiv
    1. Jain, Neha, Nir Shlezinger, Bhawna Tiwari, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara, and Pydi Ganga Bahubalindruni. "eSampling: Energy Harvesting ADCs" arXiv preprint arXiv:2007.08275 (2020)
  • Data Citations
    1. Ekansh Sareen, Lakshya Singh, Anubha Gupta, Blessin Varkey, and Krishnaveni Achary, “EEG dataset of individuals with intellectual and developmental disorder and healthy controls under rest and music stimuli [Dataset],” Mendeley Data, version 2, April 11, 2020, doi: 10.17632/fshy54ypyh.2.

2019

  • Books
    1. Anubha Gupta and Ritu Gupta (Eds.), ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging. 2019, Springer Singapore. [Link]
  • Journals
    1. Priya Aggrawal and Anubha Gupta, "Group-Fused Multivariate Regression Modeling for Group-Level Brain Networks", Neurocomputing, vol. 363, pp.140-148, 2019, DOI: https://doi.org/10.1016/j.neucom.2019.06.042 (2019 IF: 4.072) [PDF] [Code]
    2. Priya Aggrawal and Anubha Gupta, "Multivariate Graph Learning for Detecting Aberrant Connectivity of Dynamic Brain Networks in Autism", Medical Image Analysis, vol. 56, pp. 11-25, 2019, DOI: 10.1016/j.media.2019.05.007 (2019 IF: 11.418) [PDF] [Code]
    3. Naushad Ansari, Ananya Sen Gupta and Anubha Gupta, "Shallow water channel estimation with energy efficient transmitted signal design", The Journal of the Acoustical Society of America, vol. 145, pp. 2955-2970, 2019, DOI: 10.1121/1.5097581 (2019 IF: 1.819) [Link][PDF]
    4. Gurvinder Kaur, Ritu Gupta, Nitin Mathur, Lata Rani, Lalit Kumar, Atul Sharma, Vishwajeet Singh, Anubha Gupta, and Om Dutt Sharma, "Clinical impact of chromothriptic complex chromosomal rearrangements in newly diagnosed multiple myeloma", Leukemia research, vol. 76, pp.58-64, 2019, DOI: 10.1016/j.leukres.2018.12.005 (2019 IF: 2.066) [PDF]
    5. Siddharth Panwar, Shiv Dutt Joshi, Anubha Gupta and Puneet Agarwal, "Automated Epilepsy Diagnosis Using EEG with Test Set Evaluation," IEEE Transactions on Neural Systems and Rehabilitation Engineering., vol. 27, no. 6, pp. 1106-1116, June 2019, DOI: 10.1109/TNSRE.2019.2914603 (2019 IF: 3.478) [PDF]
    6. Sanjeev Sharma, Kuntal Deka, Vimal Bhatia and Anubha Gupta, "Joint Power-domain and SCMA-based NOMA System for Downlink in 5G and Beyond," IEEE Communications Letters., vol. 23, no. 6, pp. 971-974, June 2019, DOI: 10.1109/LCOMM.2019.2911082 (2019 IF: 3.457) [PDF]
    7. Sanjeev Sharma, Vimal Bhatia, Kuntal Deka and Anubha Gupta, "Sparsity-based Monobit UWB Receiver Under Impulse Noise Environments," IEEE Wireless Communications Letters. vol. 8, no. 3, pp. 849-852, June 2019, DOI: 10.1109/LWC.2019.2896998 (2019 IF: 3.546) [PDF]
    8. Neha Jain, Vivek Ashok Bohara and Anubha Gupta, "iDEG: Integrated Data and Energy Gathering Framework for Practical Wireless Sensor Networks Using Compressive Sensing," IEEE Sensors Journal, vol. 19, no. 3, pp. 1040-1051, Feb 2019, DOI: 10.1109/JSEN.2018.2878788, (2019 IF: 3.076)[PDF]
    9. Sanjeev Sharma, Anubha Gupta and Vimal Bhatia, "Compressed Sensing Based UWB Receiver Using Signal-Matched Sparse Measurement Matrix," IEEE Transactions on Vehicular Technology , vol. 68, no. 1, pp. 993-998, Jan 2019, DOI: 10.1109/TVT.2018.2881509 (2019 IF:5.339) [PDF]
    10. Naushad Ansari and Anubha Gupta, "WNC-ECGlet: Weighted non-convex minimization based reconstruction of compressively transmitted ECG using ECGlet", Biomedical Signal Processing and Control, vol 49, pp. 1-13, 2019, DOI: 10.1016/j.bspc.2018.10.005. (2019 IF: 2.943)[PDF][Code].
  • Conferences
    1. Anubha Gupta, Akanksha Farswan, “Rethinking Teaching Practices for Signal Processing Education”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 [PDF] (received "Education Innovation Award" at ICASSP-19, Brighton).
    2. Akanksha Farswan, Anubha Gupta, “TV-DCT: Method to Impute Gene Expression data using DCT based Sparsity and Total Variation Denoising", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 [PDF][Code].
    3. Neha Jain, Anubha Gupta and Vivek Ashok Bohara, “TS-MC: Two stage matrix completion algorithm for wireless sensor network”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 [PDF].
    4. Abhishek Aggarwal, Nikhil Sachdeva, Raj Kamal Yadav, Vishaal Udandarao, Vrinda Mittal, Anubha Gupta, Abhinav Mathur, "EDUQA: Educational domain question answering system usinh conceptual network mapping", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 [PDF].
    5. Shiv Gehlot, Akanksha Farswan, Anubha Gupta and Ritu Gupta, "CT-NNBI: Method To Impute Gene Expression Data Using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman Iteration", IEEE International Symposium on Biomedical Imaging (ISBI), 2019 [PDF][Code].
    Posters
    1. Gurvinder Kaur, Ritu Gupta, Akanksha Farswan, Anubha Gupta and Sriram K., "Inferring Biological Pathways in Multiple Myeloma after Missing Value Imputation", 17th International Myeloma Workshop (IMW), Boston, USA, September 2019.
    2. Ritu Gupta, Saswati Hazra, Gurleen Kaur, Anubha Gupta, Gurvinder Kaur, Atul Sharma, Omdutt Sharma andLalit Kumar, "Modified Risk Stratification (MRS) for Multiple Myeloma A simplified Model using Machine Learning", International Myeloma Workshop (IMW), Boston, USA, September 2019.
  • arXiv
    1. Ekansh Sareen, Anubha Gupta, Rohit Verma, G. Krishnaveni Achary, Blessin Varkey, "Studying functional brain networks from dry electrode EEG set during music and resting states in neurodevelopment disorder," BioRxiv, August 2019, DOI: https://doi.org/10.1101/759738. PDF
    2. Jain, Neha, Bhawna Tiwari, Anubha Gupta, Vivek Ashok Bohara, and Pydi Ganga Bahubalindruni. "eSampling: Rethinking Sampling with Energy Harvesting" arXiv preprint arXiv:1912.03453 (2019)
  • Patents
    1. Agarwal, Puneet, Siddharth Panwar, Shiv Dutt Joshi, and Anubha Gupta. "System and method for person identification and personality assessment based on EEG signal." U.S. Patent 10,318,833, issued June 11, 2019.
    • Data Citations
    1. Anubha Gupta, and Ritu Gupta, “C-NMC 2019 Dataset: ALL Challenge dataset of ISBI 2019 [Dataset],” The Cancer Imaging Archive, 2019, doi: 10.7937/tcia.2019.dc64i46r. [Available]
    2. Ritu Gupta, and Anubha Gupta, “MiMM_SBILab Dataset: Microscopic Images of Multiple Myeloma [Dataset],” The Cancer Imaging Archive, 2019, doi:10.7937/tcia.2019.pnn6aypl [Available]
    3. Anubha Gupta, and Ritu Gupta, “SN-AM Dataset: White Blood Cancer Dataset of B-ALL and MM for Stain Normalization [Dataset],” The Cancer Imaging Archive, 2019, doi:10.7937/tcia.2019.of2w8lxr [Available]

2018

  • Journals
    1. Anubha Gupta, Pramit Mallick, Ojaswa Sharma, Ritu Gupta, and Rahul Duggal, "PCSeg: Color model driven probabilistic multiphase level set based tool for plasma cell segmentation in multiple myeloma," PLoS ONE 13(12): e0207908, Dec 2018, DOI: 10.1371/journal.pone.0207908 (2018 IF: 2.766) [PDF]
    2. Priya Aggarwal, Anubha Gupta, "Low rank and sparsity constrained method for identifying overlapping functional brain networks," PLoS ONE 13(11): e0208068, Nov 2018, DOI: 10.1371/journal.pone.0208068 (2018 IF: 2.766) [PDF]
    3. Neha Jain, Anubha Gupta and Vivek A. Bohara, "PCI-MDR: Missing Data Recovery in Wireless Sensor Networks using Partial Canonical Identity Matrix," IEEE Wireless Communications Letters,, Nov 2018, DOI: 10.1109/LWC.2018.2882403(2018 IF: 3.096) [PDF]
    4. Sanjeev Sharma, Vimal Bhatia and Anubha Gupta, "Joint Symbol and ToA Estimation for Iterative Transmitted Reference Pulse Cluster UWB System," IEEE Systems Journal, DOI: 10.1109/JSYST.2018.2879650, Nov 2018, (2018 IF: 4.337) [PDF]
    5. Anubha Gupta, Shiv Dutt Joshi, Pushpendra Singh, "On the approximate discrete KLT of fractional Brownian motion and applications," Journal of the Franklin Institute, vol. 355, issue 17, 2018, pp. 8989-9016, ISSN 0016-0032, Nov 2018, DOI: 10.1016/j.jfranklin.2018.09.023 (2018 IF: 3.576)[PDF]
    6. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, "IR-UWB Sensor Network Using Massive MIMO Decision Fusion: Design and Performance Analysis," IEEE Sensors Journal, vol.18, no. 15, pp. 6290-6302, August 2018, DOI: 10.1109/JSEN.2018.2844832 (2018 IF: 2.617) [PDF]
    7. Anubha Gupta, Pushpendra Singh, and Mandar Karlekar, "A novel Signal Modeling Approach for Classification of Seizure and Seizure-free EEG Signals", IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE), vol. 26, no. 5, pp. 925-935, 2018. DOI: 10.1109/TNSRE.2018.2818123, (2017 IF: 3.41).[PDF]
    8. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, “Noncoherent IR-UWB Receiver Using Massive Antenna Arrays for Wireless Sensor Networks," IEEE Sensors Letters, vol. 2, pp. 1-4, DOI: 10.1109/LSENS.2017.2778430, March 2018.
      9. [PDF]
    9. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, "Impulse Noise Mitigation in IR-UWB Communication using Signal Cluster Sparsity," IEEE Communications Letters, vol. 22, no. 3, pp. 558-561, 2018. DOI: 10.1109/LCOMM.2017.2785848, (2019 IF: 3.457).[PDF]
    10. Naushad Ansari and Anubha Gupta, “M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework”, IEEE Access, vol. 6, pp. 12213-12227, 2018, DOI: 10.1109/ACCESS.2017.2788084(2017 IF: 3.244).[PDF] [MATLAB Codes]
  • Conferences
    1. Sanjeev Sharma, Kuntal Deka, Vimal Bhatia and Anubha Gupta, “SCMA Codebook Based on Optimization of Mutual Information and Shaping Gain”, IEEE Global Communications Conference (IEEE GLOBECOM) , UAE, 2018.[PDF]
    2. Pulkit Kumar, Pravin Nagar, Chetan Arora and Anubha Gupta, "U-SEGNET: Fully Convolutional Neural Network Based Automated Brain Tissue Segmentation Tool", IEEE International Conference on Image Processing (ICIP) , Greece, Oct 2018. [PDF]
    3. Sanjeev Sharma, Abhijeet Bishnu, Anubha Gupta, and Vimal Bhatia, "Improved Noncoherent Receiver for Joint Range and Symbol Estimation," SPCOM, Bangalore, July 2018 [PDF].
    4. Sanjeev Sharma, Vimal Bhatia and Anubha Gupta, “An Iterative Transmitted Reference UWB Receiver for Joint ToA and Data Symbols Estimation," IEEE International Conference on Communications (ICC), USA, May 2018. [PDF]
    5. Naushad Ansari and Anubha Gupta, "Statistical Learning of Rational Wavelet Transform for Natural Images," IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Canada, April 2018. [PDF]
    6. Dilnashin Anwar, Prince Garg, Vinayak Naik, Anubha Gupta, and Akshay Kumar, "Use of Portable EEG Sensors to Detect Meditation," International Conference on COMmunication Systems & NETworkS (COMSNETS)- NetHealth WS, Bangaluru, India, January 2018 (Received best paper runner-up award). [PDF]
  • Posters
    1. Neha Jain, Vivek. A. Bohara, Anubha Gupta “Sparse Signal Recovery and Energy Harvesting for Potential 5G Applications,” ACM MobiCom 2018 (Core A*). This poster has also won second position in ACM Student Research Competition (SRC).
  • arXiv
    1. Simmi Mourya, Sonaal Kant, Pulkit Kumar, Anubha Gupta, and Ritu Gupta. "LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer." arXiv preprint arXiv:1810.07961 (2018).

2017

  • Book-Chapters
    1. Rahul Duggal, Anubha Gupta, Ritu Gupta, and Pramit Mallick, "SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging," In: Descoteaux M., Maier-Hein L., Franz A., Jannin P., Collins D., Duchesne S. (eds) Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017, MICCAI 2017. Lecture Notes in Computer Science, Part III, LNCS 10435, pp. 435–443. Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-66179-7_50. [PDF] [Code]
  • Journals
    1. Priya Aggarwal, and Anubha Gupta, "Double temporal sparsity based accelerated reconstruction of compressively sensed resting-state fMRI," Computers in Biology and Medicine, vol. 91, pp. 255-266, December 2017. DOI:https://doi.org/10.1016/j.compbiomed.2017.10.020, (2017 IF: 1.836). PDF
    2. Priya Aggarwal, Anubha Gupta, and Ajay Garg, "Multivariate Brain Network Graph Identification in Functional MRI," Medical Image Analysis, vol. 42, pp. 228-240, December 2017. DOI: https://doi.org/10.1016/j.media.2017.08.007, (2019 IF: 11.148). PDF , MATLAB Codes
    3. Naushad Ansari and Anubha Gupta, "Image Reconstruction using Matched Wavelet Estimated from Data Sensed Compressively using Partial Canonical Identity Matrix," IEEE Transactions on Image Processing (IEEE-TIP), vol. 26, no. 8, pp. 3680-3695, 2017. DOI: 10.1109/TIP.2017.2700719, (2017 IF: 4.828). PDF at arXiv, MATLAB codes
    4. Priya Aggarwal, Parth Shrivastava, Tanay Kabra, and Anubha Gupta, "Optshrink LR+S: Accelerated fMRI Reconstruction using Non-Convex Optimal Singular Value Shrinkage," Brain Informatics, vol. 4, no. 1, pp. 65-83, January 2017. doi 10.1007/s40708-016-0059-x. PDF MATLAB code
    5. Chandan Pradhan and Anubha Gupta, “Ship Detection using Neyman-Pearson Criterion in Marine Environment,” Ocean Engineering, Elsevier, vol. 143, pp. 106-112, October 2017. doi: https://doi.org/10.1016/j.oceaneng.2017.03.008, (2017 IF: 1.894). PDF
    6. Sanjeev Sharma, Vimal Bhatia, and Anubha Gupta, "Sparsity-based narrowband interference mitigation in ultra wide-band communication for 5G and beyond," Computers & Electrical Engineering, Elsevier, pp. 1-13, ISSN 0045-7906, 2017. doi: https://doi.org/10.1016/j.compeleceng.2016.12.02, (2017 IF: 1.570). PDF
  • Conferences
    1. Ishita Srivastava, Pushpendra Singh, Amit Singhal, and Anubha Gupta, "Baseline wander and power-line interference removal from ECG signals using Fourier decomposition method," International Conference on Machine Intelligence and Signal Processing (MISP), Indore, India, December 2017.
    2. Rahul Duggal and Anubha Gupta, "P-TELU : Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks," ICCV CEFRL Workshop 2017, Venice, Italy, October 2017. PDF
    3. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, “Joint Estimation of ToA and Data Symbols in UWB Communication in Presence of Impulsive Interference,” IEEE Globecom, Singapore, December 2017. PDF
    4. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, "A Simple Modified Peak Detection Based UWB Receiver for WSN and IoT Applications,” IEEE Vehicular Technology Conference (VTC), Sydney, Australia, June 2017. PDF
    5. Naushad Ansari, Ananya Sen Gupta, and Anubha Gupta, "Underwater Acoustic Channel Estimation via CS with Prior Information," IEEE OCEANS, Aberdeen, Scotland, June 2017. PDF
    6. Sanjeev Sharma, Vimal Bhatia, and Anubha Gupta, "A Non-coherent UWB Receiver Using Signal Cluster Sparsity," National Conference on Communications (NCC), India, March 2017. PDF
  • Posters
    1. Ritu Gupta, Pramit Mallick, Rahul Duggal, Anubha Gupta, and Ojaswa Sharma, "Stain Color Normalization and Segmentation of Plasma Cells in Microscopic Images as a Prelude to Development of Computer Assisted Automated Disease Diagnostic Tool in Multiple Myeloma," 16th International Myeloma Workshop (IMW), India, March 2017.
  • arXiv
    1. Priya Aggarwal and Anubha Gupta, "Dynamic Phase Synchrony based Ranked Spatio-Temporal Clustering for Tracking Time-Resolved Functional Brain Networks," BioRxiv, August 2017, doi: https://doi.org/10.1101/17298. PDF

2016

  • Journals
    1. Naushad Ansari, Anubha Gupta, Ananya Sen Gupta, “Shallow water acoustic channel estimation using two-dimensional frequency characterization,” Journal of the Acoustical Society of America (JASA), vol. 140, no. 5, pp.3995-4009, 2016. doi: http://dx.doi.org/10.1121/1.4967448 (2017 IF: 1.547). PDF MATLAB code on Matlab Central MATLAB code on Github
    2. Priya Aggarwal and Anubha Gupta, “Accelerated fMRI reconstruction using Matrix Completion with Sparse Recovery via Split Bregman,” Neurocomputing, Elsevier, vol. 216, pp. 319-330, 2016. doi:10.1016/j.neucom.2016.08.016, (2017 IF: 3.317). PDF MATLAB code
    3. Sanjeev Sharma, Anubha Gupta, and Vimal Bhatia, “A New Sparse Signal-Matched Measurement Matrix for Compressive Sensing in UWB Communication,” IEEE Access, vol. 4, pp. 5327-5342, 2016. doi: 10.1109/ACCESS.2016.2601779, (2017 IF: 3.244).
    4. Priya Aggarwal, Anubha Gupta, and Vivek A. Bohara, “Recursive Least Squares Channel Estimation for Rapidly Time-Varying Scenarios in IEEE 802.11p,” Wireless Personal Communications, Springer, vol. 89, no. 1, pp. 227-240, 2016. doi: 10.1007/s11277-016-3263-3, (2017 IF: 0.951).
  • Conferences
    1. Pinkal Patel, Priya Agarwal, and Anubha Gupta, “Classification of Schizophrenia versus normal subjects using deep learning,” Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Guwahati, India, December 2016.
    2. Rahul Duggal, Anubha Gupta, Ritu Gupta, Manya Wadhwa, and Chirag Ahuja, “Overlapping Cell Nuclei Segmentation in Microscopic Images UsingDeep Belief Networks,” Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), India, December 2016. PDF Codes
    3. Akshay Sethi, Akshat Sinha, Ayush Agarwal, Chetan Arora, and Anubha Gupta, “Deep Neural Networks for Segmentation of Basal Ganglia Sub-Structures in Brain MR Images,” Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), India, December 2016.
    4. Naushad Ansari and Anubha Gupta, "Joint Framework for Signal Reconstruction using Matched Wavelet Estimated from Compressively Sensed Data," IEEE Data Compression Conference (DCC), USA, March 2016.
    5. Anubha Gupta and Shiv Dutt, "Connection between DCT and Discrete-time Fractional Brownian motion," IEEE Data Compression Conference (DCC), USA, March 2016.
    6. Sanjeev Sharma, Vimal Bhatia, and Anubha Gupta, “Sparsity Based UWB Receiver Design in Additive Impulse Noise Channels,” IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Edinburgh, UK, 2016. PDF
  • Posters
    1. Pramit Mallick, Ojaswa Sharma, Rahul Duggal, Anubha Gupta, and Ritu Gupta, "GPU based Segmentation of Plasma Cells in Multiple Myeloma Images," GPU Technology Conference, Bombay, India, December 2016.
    2. Ritu Gupta, Pramit Mallick, Rahul Duggal, Anubha Gupta, and Ojaswa Sharma, “Novel Level Set Framework for Plasma Cell Segmentation from Microscopic Images of Multiple Myeloma,” Multiple Myeloma-State of the Art, PGIMER, Chandigarh, India, September 2016. Received Second Prize for Best Poster Award.
    3. Meetu Dahiya, Rahul Duggal, Anubha Gupta, and Ritu Gupta, “Stain Color Normalization of Microscopic Images of Multiple Myeloma,” Multiple Myeloma-State of the Art, PGIMER, Chandigarh, India, September 2016.
    4. Rahul Duggal, Anubha Gupta, and Ritu Gupta, “Segmentation of overlapping/touching white blood cell nuclei using artificial neural networks,” CME Series on Hemato-Oncopathology, All India Institute of Medical Sciences (AIIMS), New Delhi, India, July 2016.
    5. Pramit Mallick, Rahul Duggal, Anubha Gupta, Ojaswa Sharma, and Ritu Gupta, “Modified multiphase level set for segmentation of plasma cells in multiple myeloma images,” CME Series on Hemato-Oncopathology, All India Institute of Medical Sciences (AIIMS), New Delhi, India, July 2016. Received Second Prize for Best Poster Award.
    6. Neha Jain, Vivek Ashok Bohara and Anubha Gupta, “Compressive Cooperative Communication with Decode and Forward Relay,” International conference on communication systems and networks (Comsnets), Bangalore, India, Jan 2016. Awarded best poster award honorable mention
  • arXiv
    1. Naushad Ansari, Anubha Gupta, and Rahul Duggal, "Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network," arXiv, 2016. PDF ar arXiv

2015

  • Book-Chapters
    1. Priya Aggarwal, Anubha Gupta, and Ajay Garg, "Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data," In: Navab N., Hornegger J., Wells W., Frangi A. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015. Lecture Notes in Computer Science, vol 9349. Springer, Cham. doi: https://doi.org/10.1007/978-3-319-24553-9_18. PDF
  • Journals
    1. Adriana Vamosiu, Marvin Titus, and Anubha Gupta, "Conditional Convergence of Nonresident Tuition Rates at Public Research Universities: A Panel Data Analysis," Higher Education, vol. 70, no. 6, pp. 923-940, December 2015. (2017 IF: 1.571)
  • Conferences
    1. Naushad Ansari, Anubha Gupta and Ananya Sen Gupta, "Physics Inspired CS based Underwater Acoustic Channel Estimation," IEEE Global Conference on Signal and Information Processing (GlobalSip), USA, December 2015. PDF MATLAB code on Matlab Central MATLAB code on Github
    2. Priya Aggarwal, Anubha Gupta and Ajay Garg, "Joint Estimation of Activity Signal and HRF in fMRI using Fused LASSO," IEEE Global Conference on Signal and Information Processing (GlobalSip), USA, December 2015. PDF
    3. Priya Aggarwal, Anubha Gupta, and Vivek Ashok Bohara, “A Guard Interval Assisted OFDM Symbol-Based Channel Estimation for Rapid Time-Varying Scenarios in IEEE 802.11p,” IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Hong Kong, September 2015. PDF
    4. Naushad Ansari, and Anubha Gupta, "Lifting-based Rational Wavelet Design from a Given Signal," IEEE International Conference on Digita Signal Processing (DSP), Singapore, July 2015. [PDF]
    5. Naushad Ansari, and Anubha Gupta, "Signal-Matched Wavelet Design via Lifting using Optimization Techniques," IEEE International Conference on Digita Signal Processing (DSP), Singapore, July 2015. PDF
    6. Garima Ahuja, Anubha Gupta, Harsh Wardhan, and Venkatesh Choppella, "Assessing the impact of Virtual Labs: a case study with the lab on Advanced VLSI," IEEE ICALT Conference, Hualien, Taiwan, July 2015.
    7. Anupriya Gogna, Sri Harsha Gade, and Anubha Gupta, "Design of Signal-Matched Critically Sampled FIR Rational Filterbank," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Australia, April 2015.  
    8. Ananya Sen Gupta, Naushad Ansari, and Anubha Gupta, "Tracking the underwater acoustic channel using two-dimensional frequency sampling," IEEE OES International Symposium on Underwater Technology (ISUT), National Institute of Ocean Technology, Chennai, India, February 2015. PDF MATLAB code on Matlab Central MATLAB code on Github
    9. Chandan Pradhan and Anubha Gupta, "Modeling of Ambient and Ship Noise in Underwater Ocean Environment of the Bay of Bengal," IEEE International Conference on Signal Processing, Informatics Communication and Energy Systems (IEEE SPICES), National Institute of Technology Calicut (NITC), India February 2015.

2014

  • Journals
    1. Anubha Gupta and ShivDutt Joshi, "Estimation of Multipath Fading Channel Using Fractal Based VSLMS Algorithm," WSEAS Transactions on Signal Processing, vol. 10, pp 231-242, April 2014.
  • Conferences
    1. Mandar Karlekar and Anubha Gupta, "Stochastic modeling of EEG rhythms with fractional Gaussian Noise," Proceedings of European Signal Processing Conference (EUSIPCO), pp. 2520-2524, Portugal, September 2014.
    2. Anubha Gupta and ShivDutt Joshi, "On the Concept of Intrinsic Wavelet Functions," IEEE International Conference on Signal Processing & Communications (SPCOM), IISc Bangalore, India, July 2014.