Krishna Agarwal

According to our database, Krishna Agarwal authored at least 26 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Haphazard Inputs as Images in Online Learning.

Rohit Agarwal, Aryan Dessai, Arif Ahmed Sekh, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad

CoRR, April, 2025

Computational Comparison and Validation of Point Spread Functions for Optical Microscopes.

Zicheng Liu, Yingying Qin, Jean-Claude Tinguely, Krishna Agarwal

IEEE Trans. Computational Imaging, 2025

DATSO: A Difficulty Assessment Tool for Stack Overflow Questions.

Aman Swaraj, Neha Gujar, Manashree Kalode, Bhoomi Bonal, Krishna Agarwal, Sandeep Kumar

Proceedings of the IEEE International Conference on Software Analysis, 2025

Label Modulated Dynamic Graph Convolution for Subcellular Structure Segmentation from Nanoscopy Images.

Ananda S. Chowdhury, Snehendu Majhi, Suyog Jadhav, Krishna Agarwal, Dilip K. Prasad

Proceedings of the Graph-Based Representations in Pattern Recognition, 2025

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., March, 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

Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis.

Rohit Agarwal, Arijit Das, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad

CoRR, 2024

Blend & Predict: Domain-Adaptable Few-Shot Learning for Microscopy Imaging.

Ayush Somani, Anshul Gupta, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

MiShape: 3D Shape Modelling of Mitochondria in Microscopy.

Abhinanda R. Punnakkal, Suyog S. Jadhav, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad

CoRR, 2023

Image Inpainting with Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy.

Ayush Somani, Pragyan Banerjee, Krishna Agarwal, Manu Rastogi, Dilip K. Prasad, Anowarul Habib

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering.

Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal

IEEE Trans. Computational Imaging, 2022

Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs.

Rohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad

Proceedings of the Neural Information Processing - 29th International Conference, 2022

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

Highly Efficient and Scalable Framework for High-Speed Super-Resolution Microscopy.

Quan Do, Sebastian Acuña, Jon Ivar Kristiansen, Krishna Agarwal, Phuong Hoai Ha

IEEE Access, 2021

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

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Solving Phaseless Highly Nonlinear Inverse Scattering Problems With Contraction Integral Equation for Inversion.

Lu Zhang, Kuiwen Xu, Yu Zhong, Krishna Agarwal

IEEE Trans. Computational Imaging, 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

IEEE Trans. Computational Imaging, 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

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

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals.

Gaurav Tripathi, Habib Anowarul, Krishna Agarwal, Dilip K. Prasad

Sensors, 2019

2016

Classification of Hyperspectral or Trichromatic Measurements of Ocean Color Data into Spectral Classes.

Dilip K. Prasad, Krishna Agarwal

Sensors, 2016

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

2013

Improving the Performances of the Contrast Source Extended Born Inversion Method by Subspace Techniques.

Krishna Agarwal, Rencheng Song, Michele D'Urso, Xudong Chen

IEEE Geosci. Remote. Sens. Lett., 2013

2010

An Improved Subspace-Based Optimization Method and Its Implementation in Solving Three-Dimensional Inverse Problems.

Yu Zhong, Xudong Chen, Krishna Agarwal

IEEE Trans. Geosci. Remote. Sens., 2010

2007

Application of differential evolution in 2-dimensional electromagnetic inverse problems.

Krishna Agarwal, Xudong Chen

Proceedings of the IEEE Congress on Evolutionary Computation, 2007