Follow
Rohit Pardasani
Rohit Pardasani
GE Healthcare
Verified email at ge.com - Homepage
Title
Cited by
Cited by
Year
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
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
242021
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
242021
Biomedical Engineering Tools for Management for Patients with COVID-19
VE Balas, O Geman, G Wang, M Arif, OA Postolache
Academic Press, 2021
62021
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
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
Image denoising and super-resolution using residual learning of deep convolutional network
R Pardasani, U Shreemali
arXiv preprint arXiv:1809.08229, 2018
32018
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
Patient monitoring system and method having severity prediction and visualization for a medical condition
R Chaudhuri, R Pardasani, H Ravishankar, G Vesto
US Patent App. 16/215,128, 2020
22020
Methods and systems for automatic assessment of fractional limb volume and fat lean mass from fetal ultrasound scans
R Pardasani, H Auchar
US Patent 11,941,806, 2024
12024
Systems and methods for respiratory support recommendations
H Ravishankar, A Patil, R Pardasani
US Patent App. 17/362,612, 2021
12021
Deep learning based fetal heart rate analytics
R Pardasani, S Ajith, JM Jordan, RL Vitullo
US Patent App. 17/517,251, 2023
2023
Monitoring, predicting and alerting short-term oxygen support needs for patients
H Ravishankar, A Patil, R Pardasani, DJ Varelmann, P Sarin, ...
US Patent App. 17/559,282, 2023
2023
Deep Learning based Segmentation for Assessment of Fractional Limb Volume in 3D Fetal Ultrasound Imaging
R Pardasani, H Auchar, M Goel
2022 IEEE International Ultrasonics Symposium (IUS), 1-4, 2022
2022
Prior based Cascading of Attention Unets for Segmentation to Estimate Fat and Lean Mass from 3D Fetal Ultrasound Imaging
R Pardasani, H Auchar, M Goel
2022 IEEE International Ultrasonics Symposium (IUS), 1-4, 2022
2022
169: COMPARING AI AND CLINICIANS IN OXYGENATION DEVICE MANAGEMENT FOR SUSPECTED COVID-19 ICU PATIENTS
MABC Rockenbach, D Buric, J Carness, C Burke, J Wollborn, S Sami, ...
Critical Care Medicine 50 (1), 68, 2022
2022
1127: EVALUATING AGREEMENT ACROSS CLINICIANS IN PREDICTING OXYGEN REQUIREMENTS FOR CRITICALLY ILL PATIENTS
C Burke, J Wollborn, S Sami, D Buric, J Carness, MABC Rockenbach, ...
Critical Care Medicine 50 (1), 562, 2022
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
2021
Session 1: Analytics
Z Liu, L Ji, X Jiang, W Zhao, X Liao, T Zhao, S Liu, X Sun, G Hu, M Feng, ...
The system can't perform the operation now. Try again later.
Articles 1–19