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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
952020
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
632021
Image-guided filtering for improving photoacoustic tomographic image reconstruction
N Awasthi, SK Kalva, M Pramanik, PK Yalavarthy
Journal of biomedical optics 23 (9), 091413-091413, 2018
292018
Multi-threshold attention u-net (mtau) based model for multimodal brain tumor segmentation in mri scans
N Awasthi, R Pardasani, S Gupta
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021
282021
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
272020
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
262019
Spie-aapm-nci breastpathq challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment
N Petrick, S Akbar, KH Cha, S Nofech-Mozes, B Sahiner, MA Gavrielides, ...
Journal of Medical Imaging 8 (3), 034501-034501, 2021
252021
Advanced ultrasound and photoacoustic imaging in cardiology
M Wu, N Awasthi, NM Rad, JPW Pluim, RGP Lopata
Sensors 21 (23), 7947, 2021
232021
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), 071204-071204, 2018
222018
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
112020
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
102022
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
82021
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
72021
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
42020
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
32021
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
32021
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
32020
Classification of 12 Lead ECG Signal Using 1D-Convolutional Neural Network With Class Dependent Threshold
R Pardasani, N Awasthi
2020 Computing in Cardiology, 1-4, 2020
22020
GPU Implementation of Implicit Runge-Kutta Methods
N Awasthi, J Abhijith
Technical report, Indian Institute of Science, Supercomputer Education and …, 2015
12015
Automatic Segmentation of Abdominal Aortic Aneurysms from Time-Resolved 3D Ultrasound Images Using Deep Learning
EJ Maas, N Awasthi, EG Van Pelt, MM Van Sambeek, RGP Lopata
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2024
2024
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Articles 1–20