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Navchetan Awasthi
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2020 – today
- 2024
- [i2]Vincent Loos, Rohit Pardasani, Navchetan Awasthi:
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation. CoRR abs/2406.16701 (2024) - 2021
- [j1]Min Wu, Navchetan Awasthi, Nastaran Mohammadian Rad, Josien P. W. Pluim, Richard G. P. Lopata:
Advanced Ultrasound and Photoacoustic Imaging in Cardiology. Sensors 21(23): 7947 (2021) - [i1]Navchetan Awasthi, Rohit Pardasani, Swati Gupta:
Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans. CoRR abs/2101.12404 (2021) - 2020
- [c4]Navchetan Awasthi, Rohit Pardasani, Swati Gupta:
Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans. BrainLes@MICCAI (2) 2020: 168-178 - [c3]Rohit Pardasani, Navchetan Awasthi:
Classification of 12 Lead ECG Signal Using 1D-Convolutional Neural Network With Class Dependent Threshold. CinC 2020: 1-4 - [c2]Rohit Pardasani, Rupanjali Chaudhuri, Navchetan Awasthi, Sheetal Chaurasia, Sushma Maya:
Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation. CinC 2020: 1-4 - [c1]Rohit Pardasani, Rupanjali Chaudhuri, Navchetan Awasthi, Mansi Goel:
Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms. ICHI 2020: 1-11
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