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Tarun Gangil
Tarun Gangil
Postdoctoral Training Fellow, The Institute of Cancer Research, London, UK
Geverifieerd e-mailadres voor icr.ac.uk
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Analysis of diabetes mellitus for early prediction using optimal features selection
N Sneha, T Gangil
Journal of Big data 6 (1), 1-19, 2019
4022019
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
292017
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
132022
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
102022
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
52022
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
12023
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
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Artikelen 1–12