Analysis of diabetes mellitus for early prediction using optimal features selection N Sneha, T Gangil Journal of Big data 6 (1), 1-19, 2019 | 402 | 2019 |
Noncontact quantification of topography of anterior corneal surface and Bowman's layer with high-speed OCT H Matalia, M Francis, T Gangil, RS Chandapura, M Kurian, R Shetty, ... Journal of Refractive Surgery 33 (5), 330-336, 2017 | 29 | 2017 |
Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms T Gangil, AB Shahabuddin, B Dinesh Rao, K Palanisamy, B Chakrabarti, ... Journal of Big Data 9 (1), 25, 2022 | 13 | 2022 |
Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning T Gangil, K Sharan, BD Rao, K Palanisamy, B Chakrabarti, R Kadavigere Plos one 17 (12), e0277168, 2022 | 10 | 2022 |
Analysis of diabetes mellitus for early prediction using optimal features selection. J. Big Data 6, 13 (2019) N Sneha, T Gangil | 9 | |
Analysis of diabetes mellitus for early prediction using optimal features selection. J. Big Data 6 (1)(2019) N Sneha, T Gangil | 6 | |
Analysis of diabetes mellitus for early prediction using optimal features selection. J. Big Data 6 (1), 1–19 (2019) N Sneha, T Gangil | 5 | 2022 |
Analysis of diabetes mellitus for early prediction using optimal features selection. J. Big Data 1 (2019) N Sneha, T Gangil | 3 | |
Prognosticating Acute Ischemic Stroke and Estimating the Feasibility of Mapping Stroke Volume to the Functional Outcomes Using Diffusion-Weighted Images: A Systematic Review … P Shridharan, T Gangil, SP Gorthi, K Prakashini Annals of Indian Academy of Neurology 26 (4), 382-386, 2023 | 1 | 2023 |
Online inter-beam treatment adaptation for structures with differential motion B Eiben, E Goodwin, E Persson, T Gangil, S Nill, U Oelfke Radiotherapy and Oncology 194, S4346-S4348, 2024 | | 2024 |
Clinical acceptance and dosimetric impact of automatically delineated elective target and organs at risk for head and neck MR-Linac patients V Koteva, B Eiben, A Dunlop, A Gupta, T Gangil, KH Wong, S Breedveld, ... Frontiers in Oncology 14, 1358350, 2024 | | 2024 |
Development of an analytics algorithm to predict clinical outcomes of head and neck cancer using clinical features and radiomics T Gangil Manipal, 0 | | |