Image Denoising and Super-Resolution using Residual Learning of Deep Convolutional Network. - Rohit Pardasani; Utkarsh Shreemali (CoRR, 2018)

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)

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)