Tandra Sarkar

According to our database, Tandra Sarkar 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

2022

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

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

Dataset, March, 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

A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs.

Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet

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

A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms.

Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet

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

Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening.

Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet

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