Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans. - Navchetan Awasthi; Rohit Pardasani; Swati Gupta (BrainLes@MICCAI (2), 2020)

Classification of 12 Lead ECG Signal Using 1D-Convolutional Neural Network With Class Dependent Threshold. - Rohit Pardasani; Navchetan Awasthi (CinC, 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 (CinC, 2020)

Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms. - Rohit Pardasani; Rupanjali Chaudhuri; Navchetan Awasthi; Mansi Goel (ICHI, 2020)

Advanced Ultrasound and Photoacoustic Imaging in Cardiology. - Min Wu; Navchetan Awasthi; Nastaran Mohammadian Rad; Josien P. W. Pluim; Richard G. P. Lopata (Sensors, 2021)

Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation. - Vincent Loos; Rohit Pardasani; Navchetan Awasthi (CoRR, 2024)

nnRAG - Incorporating Human-Feedback for Neural Network Driven Similarity Search: A Preliminary Feasibility Study. - Siva Singireddi; Sarthak Pandey; Rohit Pardasani; Raj Kiran V; Navchetan Awasthi (ICHI, 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)

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge. - Gongning Luo; Mingwang Xu; Hongyu Chen; Xinjie Liang; Xing Tao; Dong Ni 001; Hyunsu Jeong; Chulhong Kim; Raphael Stock; Michael Baumgartner 001; Yannick Kirchhoff; Maximilian Rokuss; et al. (CoRR, 2025)