Publications

JOURNALS: 

1. Utkarsh Gupta, Naveen Paluru, Deepankar Nankani, Kanchan Kulkarni, Navchetan Awasthi, "A Comprehensive Review on Efficient Artifical Intelligence Models for classification of Abnormal Cardiac Rhythms using Electrocardiograms", Heliyon, 2024.

2. Navchetan Awasthi, Laslo van Anrooij, Hans-Martin Schwab, Josien P. W. Pluim, and Richard G. P. Lopata, "A Deep Learning Based Approach for Bandwidth Enhancement in Ultrasound Imaging'', Healthcare (Special issue on Deep Learning in Ultrasound Imaging for Healthcare) , 2022.

3. Navchetan Awasthi, Lars Vermeer, Louis S. Fixsen, Richard G. P. Lopata, and Josien P. W. Pluim, "LVNet: Light-Weight Model for Left Ventricle Segmentation in Echocardiographic Imaging'' ,IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2022.

4. Navchetan Awasthi*, Min Wu*, Nastaran Mohammadian Rad*, Josien P. W. Pluim, and Richard G. P. Lopata, "Advanced ultrasound and photoacoustic imaging in cardiology'', Sensors (Special issue on Ultrasound Imaging and Sensing) 2021. (* Authors contributed Equally)

5. Navchetan Awasthi, Aveen Dayal, Linga R. Cenkeramaddi, and Phaneendra K. Yalavarthy, "Mini-COVIDNet :  Efficient Light weight Deep Neural Network for Ultrasound based Point-of-Care Detection of COVID-19,"  IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (Special issue on Ultrasound in COVID-19 and Lung Diagnostics) 2021. (Among Top 3  popular articles for the month of May 2021) (Selected as the coverpage article for the month of June 2021)

6. Navchetan Awasthi, Sandeep K. Kalva, Manojit Pramanik, and Phaneendra K. Yalavarthy, “Dimensionality Reduced Plug and Play Priors for Improving Photoacoustic Tomographic Imaging with Limited Noisy Data,” Biomedical Optics Express (in press). CODE

7. Navchetan Awasthi, Prateek Katare, Sai Siva Gorthi and Phaneendra K. Yalavarthy, "Guided Filter based Image enhancement for focal error compensation in low cost automated histopathology  microscopic system,"  Journal of Biophotonics 2020, 13.11: e202000123. 

8. Navchetan Awasthi*, Gaurav Jain*, Sandeep Kumar Kalva, Manojit Pramanik, and Phaneendra K. Yalavarthy, "Deep Neural Network Based Sinogram Super-resolution and Bandwidth Enhancement for Limited-data Photoacoustic Tomography ,," IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (Special issue on Deep Learning in Medical Ultrasound) 2020 . CODE (* Equal Contribution) (Among Top 10  popular articles for the month of March 2020)

9. Navchetan Awasthi, Rohit Pardasani, Sandeep Kumar Kalva, Manojit Pramanik, and Phaneendra K. Yalavarthy, "Sinogram super-resolution and denoising convolutional neural network (SRCN) for limited data photoacoustic tomography,," Arxiv-Submission. [doi: 10.13140/RG.2.2.21810.76489]  CODE

10. Navchetan Awasthi, K. Ram Prabhakar, Sandeep Kumar Kalva, Manojit Pramanik, R. Venkatesh Babu, and Phaneendra K. Yalavarthy, "PA-Fuse: A Deep Supervised Approach for Fusion of Photoacoustic Images with Distinct Reconstruction Characteristics," Biomedical Optics Express 10(5), 2227-2243 (2019). [doi: 10.1364/BOE.10.002227] CODE ON REQUEST 

11. Navchetan Awasthi, Sandeep K. Kalva, Manojit Pramanik, and Phaneendra K. Yalavarthy, “Image Guided Filtering for Improving Photoacoustic Tomographic Image Reconstruction,” Journal of Biomedical Optics 23(9), 091413 (2018). [doi: 10.1117/1.JBO.23.9.091413] CODE

12. Navchetan Awasthi, Sandeep K. Kalva, Manojit Pramanik, and Phaneendra K. Yalavarthy, “Vector Extrapolation Methods for Accelerating Iterative Reconstruction Methods in Limited-Data Photoacoustic Tomography,” Journal of Biomedical Optics 23(7), 071204 (2018).[doi: 10.1117/1.JBO.23.7.071204] CODE

SHORT TALKS:

1. Navchetan Awasthi, “Sinogram super-resolution and denoising convolutional neural network (SRCN) for limited data photoacoustic tomography,” Carnegie Mellon University Symposium on AI and Social Good, Carnegie Mellon University,  USA (April 23-24, 2020).

2. Navchetan Awasthi, “Deep Learning for Improving Limited Data Photoacoustic Tomography,” Center for Research in Computation and Society Workshop on AI for Social Impact, Harvard University,  USA (March  5-6, 2020).

POSTER PRESENTATIONS:

1. Navchetan Awasthi, "Deep Learning for Improving Limited Data Photoacoustic Tomography," Summer School on``Computational Photonics", Karlsruhe, Germany (September 21-25, 2020).

2. Navchetan Awasthi, "Deep Learning for Improving Limited Data Photoacoustic Tomography," Summer School of Machine Learning at Skoltech (SMILES)., Russia (August 16-21, 2020).

3. Navchetan Awasthi, “Deep Learning for Improving Limited Data Photoacoustic Tomography,” Center for Research in Computation and Society Workshop on AI for Social Impact, Harvard University,  USA (March  5-6, 2020).

4. Navchetan Awasthi, “Deep Learning for fusion of photoacoustic images with distinct reconstruction characteristics,” Southeast Asia Machine Learning School (SEA MLS), Greater Jakarta, Indonesia (July 8-12, 2019). 

5. Navchetan Awasthi, “Deep Learning for Improving Limited Data Photoacoustic Tomography,” EECS Research Students Symposium at Faculty Hall, Indian Institute of Science, Bangalore (April 12-13, 2019). 

6. Navchetan Awasthi, “Denoising of Photoacoustic Images,” Indigo (Indo-EU) Policy Lab Linking Program Workshop on “Optical and Ultrasound Imaging” at Department of Computational and Data Sciences, IISc Bangalore (September 22-23, 2016). 

7. Navchetan Awasthi, “Compressive Sensing based Reconstruction Methods for Photoacoustic Tomography,” Computational Science Symposium-2016 at Department of Computational and Data Sciences, IISc Bangalore (March 18-19, 2016).

DISSERTATIONS:

1.  Navchetan Awasthi, “Vector Extrapolation and Guided Filtering Methods for Improving Photoacoustic and Microscopic Images,” Ph. D. Thesis, Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India, December 2018.

2. Navchetan Awasthi, “Image reconstruction methods for Photoacoustic Tomography,” M.Tech. Thesis, Department of Computational and Data Sciences,  Indian Institute of Science, Bangalore, India, July 2016.

3. Navchetan Awasthi, “Fuzzy system for ECG Arrhythmic Classification,” Undergraduate Dissertation, Dr B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India, June 2011.