Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss. - Rakshith Sathish; Rachana Sathish; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

Covid19action-radiology-CXR. - Debdoot Sheet; Arunava Chakravarty; Tandra Sarkar; Rakshith Sathish; Aditya Raj; Velmurugan Balasubramanian; Ronnie Rajan; Rachana Sathish; Nishant Chakravorty; Manjira Sinha; Manoj Sharma; Vikas Kumar; et al. (IEEE DataPort, 2020)

Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks. - Rakshith Sathish; Swanand R. Khare; Debdoot Sheet (DeCaF/FAIR@MICCAI, 2022)

Re-curated Breast Imaging Subset DDSM Dataset (RBIS-DDSM). - Arunava Chakravarty; Tandra Sarkar; Rakshith Sathish; Ramanathan Sethuraman; Debdoot Sheet (IEEE DataPort, 2022)

Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. - Ravi Kakaiya; Rakshith Sathish; Debdoot Sheet; Ramanathan Sethuraman (ICME Workshops, 2023)

Designing Deep Neural High-Density Compression Engines for Radiology Images. - Aditya Raj; Rakshith Sathish; Tandra Sarkar; Ramanathan Sethuraman; Debdoot Sheet (Circuits Syst. Signal Process., 2023)

SAModified: A Foundation Model-Based Zero-Shot Approach for Refining Noisy Land-Use Land-Cover Maps. - Sparsh Pekhale; Rakshith Sathish; Sathisha Basavaraju; Divya Sharma (CoRR, 2024)