Navchetan Awasthi
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Deep neural network-based sinogram super-resolution and bandwidth enhancement for limited-data photoacoustic tomography
N Awasthi, G Jain, SK Kalva, M Pramanik, PK Yalavarthy
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67†…, 2020
Image-guided filtering for improving photoacoustic tomographic image reconstruction
N Awasthi, SK Kalva, M Pramanik, PK Yalavarthy
Journal of biomedical optics 23 (9), 091413, 2018
Mini-COVIDNet: efficient lightweight deep neural network for ultrasound based point-of-care detection of COVID-19
N Awasthi, A Dayal, LR Cenkeramaddi, PK Yalavarthy
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68†…, 2021
PA-Fuse: deep supervised approach for the fusion of photoacoustic images with distinct reconstruction characteristics
N Awasthi, KR Prabhakar, SK Kalva, M Pramanik, RV Babu, ...
Biomedical optics express 10 (5), 2227-2243, 2019
Vector extrapolation methods for accelerating iterative reconstruction methods in limited-data photoacoustic tomography
N Awasthi, SK Kalva, M Pramanik, PK Yalavarthy
Journal of biomedical optics 23 (7), 071204, 2018
Sinogram super-resolution and denoising convolutional neural network (SRCN) for limited data photoacoustic tomography
N Awasthi, R Pardasani, SK Kalva, M Pramanik, PK Yalavarthy
arXiv preprint arXiv:2001.06434, 2020
SPIE-AAPM-NCI BreastPathQ Challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment
NA Petrick, S Akbar, KHH Cha, S Nofech-Mozes, B Sahiner, ...
Journal of Medical Imaging 8 (3), 034501, 2021
Advanced Ultrasound and Photoacoustic Imaging in Cardiology
M Wu, N Awasthi, NM Rad, JPW Pluim, RGP Lopata
Sensors 21 (23), 7947, 2021
Guided filter based image enhancement for focal error compensation in low cost automated histopathology microscopic system
N Awasthi, P Katare, SS Gorthi, PK Yalavarthy
Journal of Biophotonics, 2020
Multi-threshold Attention U-Net (MTAU) based model for multimodal brain tumor segmentation in MRI scans
N Awasthi, R Pardasani, S Gupta
International MICCAI Brainlesion Workshop, 168-178, 2020
Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data
N Awasthi, SK Kalva, M Pramanik, PK Yalavarthy
Biomedical Optics Express 12 (3), 1320-1338, 2021
Utility of a smartphone-based system (cvrPhone) in estimating minute ventilation from electrocardiographic signals
K Kulkarni, N Awasthi, JD Roberts Jr, AA Armoundas
Telemedicine and e-Health 27 (12), 1433-1439, 2021
Enhanced radon domain beamforming using deep-learning-based plane wave compounding
G Jansen, N Awasthi, HM Schwab, R Lopata
2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021
Low-Cost, Continuous Motion Imaging, Computationally Augmented Whole Slide Imager for Digital Pathology
P Katare, N Awasthi, A Venukumar, SS Gorthi
IEEE Journal of Selected Topics in Quantum Electronics 27 (4), 1-7, 2021
Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation
R Pardasani, R Chaudhuri, N Awasthi, S Chaurasia, S Maya
2020 Computing in Cardiology, 1-4, 2020
Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms
R Pardasani, R Chaudhuri, N Awasthi, M Goel
2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-11, 2020
GPU Implementation of Implicit Runge-Kutta Methods
N Awasthi, J Abhijith
Technical report, Indian Institute of Science, Supercomputer Education and†…, 2015
LVNet: Lightweight Model for Left Ventricle Segmentation for Short Axis Views in Echocardiographic Imaging
N Awasthi, L Vermeer, LS Fixsen, RGP Lopata, JPW Pluim
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69†…, 2022
State-of-the-art equipment for rapid and accurate diagnosis of COVID-19
N Awasthi, S Gupta, A Kiran, R Pardasani
Biomedical Engineering Tools for Management for Patients with COVID-19, 19-40, 2021
Vector Extrapolation and Guided Filtering Methods for Improving Photoacoustic and Microscopic Images
N Awasthi
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