Navchetan Awasthi

According to our database, Navchetan Awasthi authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective.

K. Naveen Kumar, C. Krishna Mohan, Linga Reddy Cenkeramaddi, Navchetan Awasthi

Artif. Intell. Medicine, 2025

2024

Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation.

Vincent Loos, Rohit Pardasani, Navchetan Awasthi

CoRR, 2024

2021

Advanced Ultrasound and Photoacoustic Imaging in Cardiology.

Min Wu, Navchetan Awasthi, Nastaran Mohammadian Rad, Josien P. W. Pluim, Richard G. P. Lopata

Sensors, 2021

2020

Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms.

Rohit Pardasani, Rupanjali Chaudhuri, Navchetan Awasthi, Mansi Goel

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.

Rohit Pardasani, Rupanjali Chaudhuri, Navchetan Awasthi, Sheetal Chaurasia, Sushma Maya

Proceedings of the Computing in Cardiology, 2020

Classification of 12 Lead ECG Signal Using 1D-Convolutional Neural Network With Class Dependent Threshold.

Rohit Pardasani, Navchetan Awasthi

Proceedings of the Computing in Cardiology, 2020

Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans.

Navchetan Awasthi, Rohit Pardasani, Swati Gupta

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020