| Predicting glaucoma before onset using deep learning A Thakur, M Goldbaum, S Yousefi Ophthalmology Glaucoma 3 (4), 262-268, 2020 | 76 | 2020 |
| External validation of AI models in health should be replaced with recurring local validation A Youssef, M Pencina, A Thakur, T Zhu, D Clifton, NH Shah Nature Medicine 29 (11), 2686-2687, 2023 | 65 | 2023 |
| Deep metric learning for bioacoustic classification: Overcoming training data scarcity using dynamic triplet loss A Thakur, D Thapar, P Rajan, A Nigam The Journal of the Acoustical Society of America 146 (1), 534-547, 2019 | 56* | 2019 |
| Nitrate, ammonium, and phosphate uptake by the immobilized cells of Dunaliella salina A Thakur, HD Kumar Bulletin of environmental contamination and toxicology 62 (1), 70-78, 1999 | 40 | 1999 |
| Convex representations using deep archetypal analysis for predicting glaucoma A Thakur, M Goldbaum, S Yousefi IEEE Journal of Translational Engineering in Health and Medicine 8, 1-7, 2020 | 28 | 2020 |
| Dynamic neural graphs based federated reptile for semi-supervised multi-tasking in healthcare applications A Thakur, P Sharma, DA Clifton IEEE Journal of Biomedical and Health Informatics 26 (4), 1761-1772, 2021 | 27 | 2021 |
| Use of natural polymers as immobilizing agents and effects on the growth of Dunaliella salina and its glycerol production A Thakur, HD Kumar Acta biotechnologica 19 (1), 37-44, 1999 | 25 | 1999 |
| Compressed convex spectral embedding for bird species classification A Thakur, V Abrol, P Sharma, P Rajan 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 17 | 2018 |
| A layer-wise score level ensemble framework for acoustic scene classification A Singh, A Thakur, P Rajan, A Bhavsar 2018 26th European Signal Processing Conference (EUSIPCO), 837-841, 2018 | 16 | 2018 |
| A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals AAS Soltan, A Thakur, J Yang, A Chauhan, LG D’Cruz, P Dickson, ... The Lancet Digital Health 6 (2), e93-e104, 2024 | 14 | 2024 |
| Adversarial de-confounding in individualised treatment effects estimation VK Chauhan, S Molaei, MH Tania, A Thakur, T Zhu, DA Clifton International Conference on Artificial Intelligence and Statistics, 837-849, 2023 | 14 | 2023 |
| Deep archetypal analysis based intermediate matching kernel for bioacoustic classification A Thakur, P Rajan IEEE Journal of Selected Topics in Signal Processing 13 (2), 298-309, 2019 | 14 | 2019 |
| Deep Convex Representations: Feature Representations for Bioacoustics Classification. A Thakur, V Abrol, P Sharma, P Rajan Interspeech, 2127-2131, 2018 | 13 | 2018 |
| Archetypal analysis based sparse convex sequence kernel for bird activity detection V Abrol, P Sharma, A Thakur, P Rajan, AD Dileep, AK Sao 2017 25th European Signal Processing Conference (EUSIPCO), 1774-1778, 2017 | 12 | 2017 |
| Glaucoma precognition: Recognizing preclinical visual functional signs of glaucoma K Gupta, A Thakur, M Goldbaum, S Yousefi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 11 | 2020 |
| Rényi entropy based mutual information for semi-supervised bird vocalization segmentation A Thakur, V Abrol, P Sharma, P Rajan 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 11 | 2017 |
| Local compressed convex spectral embedding for bird species identification A Thakur, V Abrol, P Sharma, P Rajan The Journal of the Acoustical Society of America 143 (6), 3819-3828, 2018 | 10 | 2018 |
| ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM. P Sharma, V Abrol, A Thakur Interspeech, 3299-3303, 2018 | 9 | 2018 |
| Rapid bird activity detection using probabilistic sequence kernels A Thakur, R Jyothi, P Rajan, AD Dileep 2017 25th European Signal Processing Conference (EUSIPCO), 1754-1758, 2017 | 9 | 2017 |
| Model-based unsupervised segmentation of birdcalls from field recordings A Thakur, P Rajan 2016 10th International Conference on Signal Processing and Communication …, 2016 | 9 | 2016 |
David A. CliftonChair of Clinical Machine Learning, University of OxfordVerified email at eng.ox.ac.uk
