Rohit Pardasani
Rohit Pardasani
GE Healthcare
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Cited by
Cited by
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
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
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
Biomedical Engineering Tools for Management for Patients with COVID-19
VE Balas, O Geman, G Wang, M Arif, OA Postolache
Academic Press, 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
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
Image denoising and super-resolution using residual learning of deep convolutional network
R Pardasani, U Shreemali
arXiv preprint arXiv:1809.08229, 2018
Systems and methods for respiratory support recommendations
H Ravishankar, A Patil, R Pardasani
US Patent App. 17/362,612, 2021
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
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
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
Configurable Viewer and Annotator for Clinical Waveform and Time Series Data Based on a Generalized Framework of Structuring Data and Annotations
Undisclosed, 2024
Large Language Model Powered Chatbot for Product Manuals That Accommodates Product Versioning, Interchangeable Nomenclatures, and User Feedback
Undisclosed, 2024
Fetal Radar Infographic
Undisclosed, 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
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
Innovative Annotation Tool for Annotating Fetal Heart Rate Data and Validating Annotations to Train AI Algorithms
Undisclosed, 2023
Innovative Review Tool for Performance Evaluation and Improvement of AI Algorithm for Fetal Heart Rate Analytics
Undisclosed, 2023
Deep learning based fetal heart rate analytics
R Pardasani, S Ajith, JM Jordan, RL Vitullo
US Patent App. 17/517,251, 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
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