Rohit Pardasani
Orcid: 0000-0002-2444-1025
According to our database1,
Rohit Pardasani
authored at least 6 papers
between 2018 and 2024.
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Bibliography
2024
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation.
CoRR, 2024
2020
Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation.
Proceedings of the Computing in Cardiology, 2020
Classification of 12 Lead ECG Signal Using 1D-Convolutional Neural Network With Class Dependent Threshold.
Proceedings of the Computing in Cardiology, 2020
Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2018
Image Denoising and Super-Resolution using Residual Learning of Deep Convolutional Network.
CoRR, 2018