Ajay Pratap Singh
Scientist-C | Decision Unit 4: Systems Biology
Ajay Pratap Singh's research focuses on the development of machine learning and deep learning algorithms for biomedical image analysis, with a particular emphasis on applications in radiology and pathology. His work involves the design of novel computational methods to extract meaningful information from medical images, which can aid in disease diagnosis, prognosis, and treatment planning.
Specific Interests
- Classification and Quantification of Interstitial Lung Diseases using HRCT images
- Development of AI-based radiomics methods using biomedical imaging modalities
During the COVID-19 pandemic, he worked on the development of CovBaseAI, an expert system for detection of COVID pneumonia likelihood, which is an amalgamation of expert-defined knowledge-base and deep learning networks trained on pre-COVID-19 era data. The tool achieved a high negative predictive value on Indian quarantine center data.
Selected Publications
All Citations →- A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys. Singh P, Ujjainiya R, Prakash S, Naushin S, Sardana V, Bhatheja N, Singh AP, Barman J, Kumar K, Gayali S, Khan R…& Dash D. Computers in Biology and Medicine. 2022 Jul 1;146:105419.
- Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays. Gidde PS, Prasad SS, Singh AP, Bhatheja N, Prakash S, Singh P, Saboo A, Takhar R, Gupta S, Saurav S, MV R…& Dash D. Scientific Reports. 2021 Dec 1;11(1):23210.
- An end-to-end trainable framework for joint optimization of document enhancement and recognition. Ray A, Sharma M, Upadhyay A, Makwana M, Chaudhury S, Trivedi A, Singh A, Saini A. IEEE International Conference on Document Analysis and Recognition (ICDAR) 2019 Sep 20 (pp. 59–64).
- Ntire 2019 challenge on video super-resolution: Methods and results. Nah S, Timofte R, Gu S, Baik S, Hong S, Moon G, Son S, Mu Lee K. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2019.