Riya Rani S. S. and Sumit Datta, “Spectral Line Enhancement for Noise-Resilient Passive Sonar Detection using Dual-Attention Guided Wavelet Domain FISTA-Net,” IEEE Sensors Letters, 2026.

A. Kannan, M. J. Saikia, S. Kumar and Sumit Datta, “Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review,” IEEE Access, 2025.

Sumit Datta, R. K. Thondithara and S. Kumar, “Synthesizing 12-Lead ECG from Reduced Lead Sets using Deep Neural Networks for Remote Healthcare Applications,” IEEE Sensors Letters, 2025.

S. Kumar, R. B. Pachori, B. Deka and Sumit Datta, “Opportunities and Challenges in Deep Compressed Sensing Techniques for Multichannel ECG Data Compression,” SN Computer Science, 2024.

Ato Kapfo, Sumit Datta, Samarendra Dandapat and Prabin Kumar Bora, “A Wavelet Subband Based LSTM Model for 12-Lead ECG Synthesis from Reduced Lead Set,” Biomedical Engineering Letters, 2024.

S. Kumar, Sumit Datta, V. Singh, D. Datta, S. Kumar Singh and R. Sharma, “Applications, Challenges, and Future Directions of Human-in-the-Loop Learning,” IEEE Access, 2024.

Sumit Datta and Joseph Suresh Paul, “Adaptive Continuation Based Smooth l0-Norm Approximation for Compressed Sensing MR Image Reconstruction,” Journal of Medical Imaging, 2024.

S. Kumar, Sumit Datta, V. Singh, S. K. Singh and R. Sharma, “Opportunities and Challenges in Data-Centric AI,” IEEE Access, 2024.

S. Kumar, R. Sharma, V. Singh, S. Tiwari, S. K. Singh and Sumit Datta, “Potential Impact of Data-Centric AI on Society,” IEEE Technology and Society Magazine, 2023.

Bhabesh Deka, Helal Uddin Mullah, Trishna Barman and Sumit Datta, “Joint Sparse Representation-Based Single Image Super-Resolution for Remote Sensing Applications,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.

Bhabesh Deka, Sushant Kumar and Sumit Datta, “Dictionary Learning-Based Multi-Channel ECG Reconstruction using Compressive Sensing,” IEEE Sensors Journal, 2022.

Sumit Datta, Samarendra Dandapat and Bhabesh Deka, “A Deep Framework for Enhancement of Diagnostic Information in CSMRI Reconstruction,” Biomedical Signal Processing and Control, 2022.

Aromal C. J. and Sumit Datta, “FISTA-GAN: An Interpretable Cosine-Decayed GAN for Fast Compressed-Sensing MRI,” PReMI 2025 (Springer LNCS), 2025.

Riya Rani S. S. and Sumit Datta, “Dual Attention Guided Wavelet Domain ISTA-Net for Noise Resilient Underwater Passive Sonar Detection and Classification,” IEEE INDICON 2025, 2025.

Aromal C. J. and Sumit Datta, “FISTA-NET: Compressed Sensing MRI Reconstruction Using Unrolled Iterative Networks,” IEEE INDICON 2024, 2024.

R. K. Thondithara, Sumit Datta and M. J. Saikia, “ECG Synthesis from Reduced Lead Set Using Neural Networks for Wearable Healthcare,” IEEE INDICON 2024, 2024.

D. Banik, A. C. J. and Sumit Datta, “Early Detection of Age-Related Macular Degeneration Using Image Super-Resolution with Cycle-GAN,” IEEE INDICON 2024, 2024.

L. Hakeem, A. C. J., S. Kumar and Sumit Datta, “Continual Learning for Video Action Recognition using Parameter Allocation,” IEEE INDICON 2024, 2024.

Sumit Datta, Bhabesh Deka, Samarendra Dandapat, Sushant Kumar and Arnab Majumder, “Enhancement of Diagnostic Information in T1-weighted Contrast Enhanced MRI using Deep Back-Projection Based Super-Resolution,” IEEE INDICON 2022, 2022.

Vazim Ibrahim, Sumit Datta, Alex P. James and Joseph Suresh Paul, “Interleaved Hybrid Domain Learning for Super-Resolution MRI,” IEEE ISCAS 2022, 2022.

Ato Kapfo, Sumit Datta, Samarendra Dandapat and Prabin Kumar Bora, “LSTM Based Synthesis of 12-Lead ECG Signal from a Reduced Lead Set,” IEEE SPICES 2022, 2022.