| 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 | 105 | 2020 |
| 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 | 70 | 2021 |
| 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 | 31 | 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 | 30 | 2019 |
| 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 | 30 | 2018 |
| Advanced ultrasound and photoacoustic imaging in cardiology M Wu, N Awasthi, NM Rad, JPW Pluim, RGP Lopata Sensors 21 (23), 7947, 2021 | 27 | 2021 |
| 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 | 27 | 2020 |
| 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 | 25 | 2021 |
| 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 | 23 | 2018 |
| 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 | 16 | 2022 |
| 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 | 13 | 2020 |
| Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data N Awasthi, S Kumar Kalva, M Pramanik, PK Yalavarthy Biomedical Optics Express 12 (3), 1320-1338, 2021 | 8 | 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 | 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 | 4 | 2020 |
| A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms U Gupta, N Paluru, D Nankani, K Kulkarni, N Awasthi Heliyon, 2024 | 3 | 2024 |
| 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 | 3 | 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 | 3 | 2021 |
| 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 | 3 | 2020 |
| 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 | 2 | 2020 |
| Bandwidth Improvement in Ultrasound Image Reconstruction Using Deep Learning Techniques N Awasthi, L van Anrooij, G Jansen, HM Schwab, JPW Pluim, ... Healthcare 11 (1), 123, 2022 | 1 | 2022 |
Phaneendra YalavarthyIndian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
