Rakshith Sathish

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Nodule Detection

Top Venues

Circuits Syst. Signal Process.

Publications

Aditya Raj, Rakshith Sathish, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet
Designing Deep Neural High-Density Compression Engines for Radiology Images. Circuits Syst. Signal Process. 42 (2) (2023)
Ravi Kakaiya, Rakshith Sathish, Debdoot Sheet, Ramanathan Sethuraman
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. ICME Workshops (2023)
Ravi Kakaiya, Rakshith Sathish, Ramanathan Sethuraman, Debdoot Sheet
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. CoRR (2023)
Rakshith Sathish, Swanand Khare, Debdoot Sheet
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks. DeCaF/FAIR@MICCAI (2022)
Rakshith Sathish, Swanand Khare, Debdoot Sheet
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks. CoRR (2022)
Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss. EMBC (2020)
Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss. CoRR (2020)