Krishna Agarwal

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 18

Top Topics

Image Inpainting

Statistical Data

Top Venues

IEEE Trans. Computational Imaging

Publications

Rohit Agarwal, Arijit Das, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis. CoRR (2024)
Pragyan Banerjee, Shivam Milind Akarte, Prakhar Kumar, Muhammad Shamsuzzaman, Ankit Butola, Krishna Agarwal, Dilip K. Prasad, Frank Melandsø, Anowarul Habib
High-resolution imaging in acoustic microscopy using deep learning. Mach. Learn. Sci. Technol. 5 (1) (2024)
Abhinanda R. Punnakkal, Suyog S. Jadhav, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
MiShape: 3D Shape Modelling of Mitochondria in Microscopy. CoRR (2023)
Ayush Somani, Pragyan Banerjee, Krishna Agarwal, Manu Rastogi, Dilip K. Prasad, Anowarul Habib
Image Inpainting with Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy. CVPR Workshops (2023)
Rohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad
Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs. ICONIP (1) (2022)
Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal
Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. IEEE Trans. Computational Imaging 8 (2022)
Quan Do, Sebastian Acuña, Jon Ivar Kristiansen, Krishna Agarwal, Phuong Hoai Ha
Highly Efficient and Scalable Framework for High-Speed Super-Resolution Microscopy. IEEE Access 9 (2021)
Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad, Alexander Horsch
Digital Staining of Mitochondria in Label-free Live-cell Microscopy. Bildverarbeitung für die Medizin (2021)
Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal
Physics-guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. CoRR (2021)
Arif Ahmed Sekh, Ida Sundvor Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
Physics-based machine learning for subcellular segmentation in living cells. Nat. Mach. Intell. 3 (12) (2021)
Xiuzhu Ye, Naixin Zhang, Kuiwen Xu, Krishna Agarwal, Ming Bai, Dawei Liu, Xudong Chen
Application of Subspace-Based Distorted-Born Iteration Method in Imaging Biaxial Anisotropic Scatterer. IEEE Trans. Computational Imaging 6 (2020)
Rohit Agarwal, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad
Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs. CoRR (2020)
Lu Zhang, Kuiwen Xu, Yu Zhong, Krishna Agarwal
Solving Phaseless Highly Nonlinear Inverse Scattering Problems With Contraction Integral Equation for Inversion. IEEE Trans. Computational Imaging 6 (2020)
Arif Ahmed Sekh, Ida Sundvor Opstad, Rohit Agarwal, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
Simulation-supervised deep learning for analysing organelles states and behaviour in living cells. CoRR (2020)
Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
Learning Nanoscale Motion Patterns of Vesicles in Living Cells. CVPR (2020)
Gaurav Tripathi, Habib Anowarul, Krishna Agarwal, Dilip K. Prasad
Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals. Sensors 19 (19) (2019)
Dwarikanath Mahapatra, Krishna Agarwal, Reza Khosrowabadi, Dilip K. Prasad
Recent Advances in Statistical Data and Signal Analysis: Application to Real World Diagnostics from Medical and Biological Signals. Comput. Math. Methods Medicine 2016 (2016)
Dilip K. Prasad, Krishna Agarwal
Classification of Hyperspectral or Trichromatic Measurements of Ocean Color Data into Spectral Classes. Sensors 16 (3) (2016)
Krishna Agarwal, Rencheng Song, Michele D'Urso, Xudong Chen
Improving the Performances of the Contrast Source Extended Born Inversion Method by Subspace Techniques. IEEE Geosci. Remote. Sens. Lett. 10 (2) (2013)
Yu Zhong, Xudong Chen, Krishna Agarwal
An Improved Subspace-Based Optimization Method and Its Implementation in Solving Three-Dimensional Inverse Problems. IEEE Trans. Geosci. Remote. Sens. 48 (10) (2010)
Krishna Agarwal, Xudong Chen
Application of differential evolution in 2-dimensional electromagnetic inverse problems. IEEE Congress on Evolutionary Computation (2007)
Achla Agarwal, Krishna Agarwal
Some deficiencies of C++ in teaching CS1 and CS2. ACM SIGPLAN Notices 38 (6) (2003)