Navchetan Awasthi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Convolutional Neural Network

Multivariate Time Series

Medical Image Segmentation

Class Dependent

Top Venues

BrainLes@MICCAI (2)

Publications

Vincent Loos, Rohit Pardasani, Navchetan Awasthi
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation. CoRR (2024)
Navchetan Awasthi, Rohit Pardasani, Swati Gupta
Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans. CoRR (2021)
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) (2021)
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)
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)
Rohit Pardasani, Navchetan Awasthi
Classification of 12 Lead ECG Signal Using 1D-Convolutional Neural Network With Class Dependent Threshold. CinC (2020)
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)