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ORCIDKrishna Agarwal
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2020 – today
- 2024
[j12]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): 15007 (2024)- [i6]Rohit Agarwal, Arijit Das, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad:
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis. CoRR abs/2404.04903 (2024) - [i5]Rohit Agarwal, Karaka Prasanth Naidu, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad:
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space. CoRR abs/2410.17394 (2024) - 2023
- [c5]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: 3113-3122 - [i4]Abhinanda R. Punnakkal, Suyog S. Jadhav, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad:
MiShape: 3D Shape Modelling of Mitochondria in Microscopy. CoRR abs/2303.01546 (2023) - 2022
- [j11]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: 236-245 (2022) - [c4]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: 549-561 - 2021
- [j10]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: 97053-97067 (2021) - [j9]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): 1071-1080 (2021) - [c3]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: 235-240 - [i3]Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal:
Physics-guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. CoRR abs/2111.09109 (2021) - 2020
- [j8]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: 1106-1116 (2020) - [j7]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: 1486-1492 (2020) - [c2]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: 14011-14020 - [i2]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 abs/2008.11828 (2020) - [i1]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 abs/2008.12617 (2020)
2010 – 2019
- 2019
- [j6]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): 4216 (2019) - 2016
- [j5]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: 1643687:1 (2016) - [j4]Dilip K. Prasad, Krishna Agarwal:
Classification of Hyperspectral or Trichromatic Measurements of Ocean Color Data into Spectral Classes. Sensors 16(3): 413 (2016) - 2013
- [j3]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): 391-395 (2013) - 2010
- [j2]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): 3763-3768 (2010)
2000 – 2009
- 2007
- [c1]Krishna Agarwal, Xudong Chen:
Application of differential evolution in 2-dimensional electromagnetic inverse problems. IEEE Congress on Evolutionary Computation 2007: 4305-4312 - 2003
- [j1]Achla Agarwal, Krishna Agarwal:
Some deficiencies of C++ in teaching CS1 and CS2. ACM SIGPLAN Notices 38(6): 9-13 (2003)
Coauthor Index
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