| Epileptic seizure prediction using big data and deep learning: toward a mobile system I Kiral-Kornek, S Roy, E Nurse, B Mashford, P Karoly, T Carroll, D Payne, ... EBioMedicine 27, 103-111, 2018 | 268 | 2018 |
| Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model S Saha, A Pagnozzi, P Bourgeat, JM George, DK Bradford, PB Colditz, ... Neuroimage 215, 116807, 2020 | 54 | 2020 |
| Changes in ganglion cells during retinal degeneration S Saha, U Greferath, KA Vessey, DB Grayden, AN Burkitt, EL Fletcher Neuroscience 329, 1-11, 2016 | 39 | 2016 |
| Machine learned optimizing of health activity for participants during meeting times PR Bastide, FI Kiral-Kornek, D Mahapatra, S Saha, A Vishwanath, ... US Patent 10617362B2, 2020 | 31 | 2020 |
| Generating hyperspectral image database by machine learning and mapping of color images to hyperspectral domain D Mahapatra, S Saha, A Vishwanath, PR Bastide US Patent US10832094B2, 2019 | 22 | 2019 |
| Bond graph modelling of chemoelectrical energy transduction PJ Gawthrop, I Siekmann, T Kameneva, S Saha, MR Ibbotson, ... IET Systems Biology 11 (5), 127-138, 2017 | 21 | 2017 |
| Crowdsourcing health improvements routes PR Bastide, IF Kiral-Kornek, D Mahapatra, S Saha, A Vishwanath, ... US Patent 10650918B2, 2020 | 15 | 2020 |
| Social media bot detection with deep learning methods: a systematic review K Hayawi, S Saha, MM Masud, SS Mathew, M Kaosar Neural Computing and Applications 35 (12), 8903-8918, 2023 | 14 | 2023 |
| Visual health maintenance and improvement P Bastide, S Von Cavallar, I Kiral-Kornek, F Lu, D Mahapatra, S Saha, ... US Patent 9993385B2, 2018 | 13 | 2018 |
| Predicting fluid intelligence in adolescence from structural MRI with deep learning methods S Saha, A Pagnozzi, D Bradford, J Fripp Intelligence 88, 101568, 2021 | 9 | 2021 |
| Seizure detection, prediction and prevention using neurostimulation technology and deep neural network S Harrer, FI Kiral-Kornek, BS Mashford, ROY Subhrajit, S Saha US Patent 10596377B2, 2020 | 9 | 2020 |
| The energetic cost of the action potential: bond graph modelling of electrochemical energy transduction in excitable membranes PJ Gawthrop, I Siekmann, T Kameneva, S Saha, MR Ibbotson, ... arXiv preprint arXiv:1512.00956, 2015 | 6 | 2015 |
| Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants AM Pagnozzi, L van Eijk, K Pannek, RN Boyd, S Saha, J George, S Bora, ... NeuroImage 267, 119815, 2023 | 5 | 2023 |
| Epileptic seizure prediction using big data and deep learning: Toward a mobile system, EBioMedicine 27 (2018) 103–111 I Kiral-Kornek, S Roy, E Nurse, B Mashford, P Karoly, T Carroll, D Payne, ... Crossref, Medline, ISI, 0 | 5 | |
| Investigating brain age deviation in preterm infants: a deep learning approach S Saha, A Pagnozzi, J George, PB Colditz, Boyd, Roslyn, S Rose, J Fripp, ... Data driven treatment response assessment and preterm, perinatal, and …, 2018 | 3 | 2018 |
| Ganglion Cell Assessment in Rodents with Retinal Degeneration EL Fletcher, U Greferath, S Saha, EE Anderson, KA Vessey Mouse Retinal Phenotyping, 261-273, 2018 | 1 | 2018 |
| Validating automatic segmentation of deep gray matter white matter structures in MRI of preterm infants at early and term-equivalent age Seidel, M., Pannek, K., Boyd, R., Saha, S., George, J., Colditz, P., Rose, S ... Developmental Medicine & Child Neurology 62 (S2), 2020 | | 2020 |
| Quantitative structural and diffusion MRI measures for automated clinical reporting in early preterm and term-equivalent MRI M Seidel, R Boyd, Susmita Saha, Kerstin Pannek, Joanne George, P Colditz ... Developmental Medicine & Child Neurology 62 (S2), 2020 | | 2020 |
| Comparison of the predictive potential of GA and brain-MRI for early prediction of motor outcome in preterm infants using AI S Saha, A Pagnozzi, P Bourgeat, J George, D Bradford, P Colditz, R Boyd, S ... Developmental Medicine & Child Neurology 62 (S2), 2020 | | 2020 |
| An effective approach for high-resolution 3D MRI reconstruction on highly motion-corrupted neonatal data S Saha, G Pagnozzi, Alex, Joanna, PB Colditz, R Boyd, S Rose, ... American Academy of Cerebral Palsy and Developmental Medicine (AACPDM 2020 …, 2020 | | 2020 |
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