| 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 | 77 | 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 | 52 | 2021 |
| 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 | 29 | 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 | 23 | 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 | 22 | 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 | 22 | 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), 071204-071204, 2018 | 20 | 2018 |
| 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 | 19 | 2021 |
| Advanced ultrasound and photoacoustic imaging in Cardiology M Wu, N Awasthi, NM Rad, JPW Pluim, RGP Lopata Sensors 21 (23), 7947, 2021 | 18 | 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 | 9 | 2020 |
| 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 | 7 | 2022 |
| 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 | 7 | 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 | 6 | 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 | 3 | 2020 |
| 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 | 2 | 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 | 2 | 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 | 1 | 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 | 1 | 2020 |
| GPU Implementation of Implicit Runge-Kutta Methods N Awasthi, J Abhijith Technical report, Indian Institute of Science, Supercomputer Education and …, 2015 | 1 | 2015 |
| Improving quality of less-view breast photoacoustic tomography reconstruction using deep learning neural networks B De Santi, F Ayatollahi, F Lucka, N Awasthi, B Cox, S Manohar Photons Plus Ultrasound: Imaging and Sensing 2023, PC123793G, 2023 | | 2023 |
Phaneendra YalavarthyIndian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
