Rakshith Sathish

According to our database, Rakshith Sathish authored at least 6 papers between 2020 and 2023.

Collaborative distances:

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

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., February, 2023

Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation.

Ravi Kakaiya, Rakshith Sathish, Debdoot Sheet, Ramanathan Sethuraman

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

2022

Re-curated Breast Imaging Subset DDSM Dataset (RBIS-DDSM).

Arunava Chakravarty, Tandra Sarkar, Rakshith Sathish, Ramanathan Sethuraman, Debdoot Sheet

Dataset, March, 2022

Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks.

Rakshith Sathish, Swanand R. Khare, Debdoot Sheet

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

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, Rajiv Kumar, Abhishek Kumar, Atul Singhal, Gowtham Reddy

Dataset, May, 2020

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020