Application of differential evolution in 2-dimensional electromagnetic inverse problems. - Krishna Agarwal; Xudong Chen 001 (IEEE Congress on Evolutionary Computation, 2007)

An Improved Subspace-Based Optimization Method and Its Implementation in Solving Three-Dimensional Inverse Problems. - Yu Zhong 002; Xudong Chen 001; Krishna Agarwal (IEEE Trans. Geosci. Remote. Sens., 2010)

Improving the Performances of the Contrast Source Extended Born Inversion Method by Subspace Techniques. - Krishna Agarwal; Rencheng Song; Michele D'Urso; Xudong Chen 001 (IEEE Geosci. Remote. Sens. Lett., 2013)

Recent Advances in Statistical Data and Signal Analysis: Application to Real World Diagnostics from Medical and Biological Signals. - Dwarikanath Mahapatra; Krishna Agarwal; Reza Khosrowabadi; Dilip K. Prasad (Comput. Math. Methods Medicine, 2016)

Classification of Hyperspectral or Trichromatic Measurements of Ocean Color Data into Spectral Classes. - Dilip K. Prasad; Krishna Agarwal (Sensors, 2016)

Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals. - Gaurav Tripathi; Habib Anowarul; Krishna Agarwal; Dilip K. Prasad (Sensors, 2019)

Learning Nanoscale Motion Patterns of Vesicles in Living Cells. - Arif Ahmed Sekh; Ida Sundvor Opstad; Åsa Birna Birgisdottir; Truls Myrmel; Balpreet Singh Ahluwalia; Krishna Agarwal; Dilip K. Prasad (CVPR, 2020)

Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs. - Rohit Agarwal; Arif Ahmed Sekh; Krishna Agarwal; Dilip K. Prasad (CoRR, 2020)

Simulation-supervised deep learning for analysing organelles states and behaviour in living cells. - Arif Ahmed Sekh; Ida Sundvor Opstad; Rohit Agarwal; Åsa Birna Birgisdottir; Truls Myrmel; Balpreet Singh Ahluwalia; Krishna Agarwal; Dilip K. Prasad (CoRR, 2020)

Application of Subspace-Based Distorted-Born Iteration Method in Imaging Biaxial Anisotropic Scatterer. - Xiuzhu Ye; Naixin Zhang; Kuiwen Xu; Krishna Agarwal; Ming Bai; Dawei Liu; Xudong Chen 001 (IEEE Trans. Computational Imaging, 2020)

Solving Phaseless Highly Nonlinear Inverse Scattering Problems With Contraction Integral Equation for Inversion. - Lu Zhang; Kuiwen Xu; Yu Zhong 002; Krishna Agarwal (IEEE Trans. Computational Imaging, 2020)

Digital Staining of Mitochondria in Label-free Live-cell Microscopy. - Ayush Somani; Arif Ahmed Sekh; Ida Sundvor Opstad; Åsa Birna Birgisdottir; Truls Myrmel; Balpreet Singh Ahluwalia; Krishna Agarwal; Dilip K. Prasad; Alexander Horsch (Bildverarbeitung für die Medizin, 2021)

Highly Efficient and Scalable Framework for High-Speed Super-Resolution Microscopy. - Quan Do 001; Sebastian Acuña; Jon Ivar Kristiansen; Krishna Agarwal; Phuong Hoai Ha (IEEE Access, 2021)

Physics-based machine learning for subcellular segmentation in living cells. - Arif Ahmed Sekh; Ida Sundvor Opstad; Gustav Godtliebsen; Åsa Birna Birgisdottir; Balpreet Singh Ahluwalia; Krishna Agarwal; Dilip K. Prasad (Nat. Mach. Intell., 2021)

Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs. - Rohit Agarwal; Krishna Agarwal; Alexander Horsch; Dilip K. Prasad (ICONIP (1), 2022)

Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. - Zicheng Liu 002; Mayank Roy; Dilip K. Prasad; Krishna Agarwal (IEEE Trans. Computational Imaging, 2022)

Image Inpainting with Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy. - Ayush Somani; Pragyan Banerjee; Krishna Agarwal; Manu Rastogi; Dilip K. Prasad; Anowarul Habib (CVPR Workshops, 2023)

MiShape: 3D Shape Modelling of Mitochondria in Microscopy. - Abhinanda R. Punnakkal; Suyog S. Jadhav; Alexander Horsch; Krishna Agarwal; Dilip K. Prasad (CoRR, 2023)

Blend & Predict: Domain-Adaptable Few-Shot Learning for Microscopy Imaging. - Ayush Somani; Anshul Gupta; Arif Ahmed Sekh; Krishna Agarwal; Dilip K. Prasad (ICIP, 2024)

Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis. - Rohit Agarwal; Arijit Das; Alexander Horsch; Krishna Agarwal; Dilip K. Prasad (CoRR, 2024)

packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space. - Rohit Agarwal; Karaka Prasanth Naidu; Alexander Horsch; Krishna Agarwal; Dilip K. Prasad (CoRR, 2024)

High-resolution imaging in acoustic microscopy using deep learning. - Pragyan Banerjee; Shivam Milind Akarte; Prakhar Kumar; Muhammad Shamsuzzaman; Ankit Butola; Krishna Agarwal; Dilip K. Prasad; Frank Melandsø; Anowarul Habib (Mach. Learn. Sci. Technol., 2024)

Label Modulated Dynamic Graph Convolution for Subcellular Structure Segmentation from Nanoscopy Images. - Ananda S. Chowdhury; Snehendu Majhi; Suyog Jadhav; Krishna Agarwal; Dilip K. Prasad (GbRPR, 2025)

DATSO: A Difficulty Assessment Tool for Stack Overflow Questions. - Aman Swaraj; Neha Gujar; Manashree Kalode; Bhoomi Bonal; Krishna Agarwal; Sandeep Kumar 004 (SANER, 2025)

Computational Comparison and Validation of Point Spread Functions for Optical Microscopes. - Zicheng Liu 002; Yingying Qin; Jean-Claude Tinguely; Krishna Agarwal (IEEE Trans. Computational Imaging, 2025)

Haphazard Inputs as Images in Online Learning. - Rohit Agarwal; Aryan Dessai; Arif Ahmed Sekh; Krishna Agarwal; Alexander Horsch; Dilip K. Prasad (CoRR, 2025)