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Rohit Pardasani
Rohit Pardasani
GE Healthcare
Verified email at ge.com - Homepage
Title
Cited by
Cited by
Year
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
292021
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
252021
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
Systems and methods for respiratory support recommendations
H Ravishankar, A Patil, R Pardasani
US Patent App. 17/362,612, 2021
22021
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
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation
V Loos, R Pardasani, N Awasthi
arXiv preprint arXiv:2406.16701, 2024
2024
Configurable Viewer and Annotator for Clinical Waveform and Time Series Data Based on a Generalized Framework of Structuring Data and Annotations
Undisclosed
https://priorart.ip.com/IPCOM/000274134, 2024
2024
Large Language Model Powered Chatbot for Product Manuals That Accommodates Product Versioning, Interchangeable Nomenclatures, and User Feedback
Undisclosed
https://priorart.ip.com/IPCOM/000274136, 2024
2024
Fetal Radar Infographic
Undisclosed
https://priorart.ip.com/IPCOM/000274135, 2024
2024
Deep learning based tumor detection and segmentation for automated 3D breast ultrasound imaging
F Barkhof, S Abbring, R Pardasani, N Awasthi
2024 IEEE South Asian Ultrasonics Symposium (SAUS), 1-4, 2024
2024
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
2024
Innovative Annotation Tool for Annotating Fetal Heart Rate Data and Validating Annotations to Train AI Algorithms
Undisclosed
https://priorart.ip.com/IPCOM/000273156, 2023
2023
Innovative Review Tool for Performance Evaluation and Improvement of AI Algorithm for Fetal Heart Rate Analytics
Undisclosed
https://priorart.ip.com/IPCOM/000273155, 2023
2023
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
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