| CLOCS: Contrastive learning of cardiac signals across space, time, and patients D Kiyasseh, T Zhu, DA Clifton International Conference on Machine Learning (ICML), 2021 | 174* | 2021 |
| Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test AAS Soltan, S Kouchaki, T Zhu, D Kiyasseh, T Taylor, ZB Hussain, T Peto, ... The Lancet Digital Health 3 (2), e78-e87, 2021 | 156* | 2021 |
| PlethAugment: Gan-based PPG augmentation for medical diagnosis in low-resource settings D Kiyasseh, GA Tadesse, L Thwaites, T Zhu, D Clifton IEEE Journal of Biomedical and Health Informatics 24 (11), 3226-3235, 2020 | 68 | 2020 |
| A vision transformer for decoding surgeon activity from surgical videos D Kiyasseh, R Ma, TF Haque, BJ Miles, C Wagner, DA Donoho, ... Nature biomedical engineering 7 (6), 780-796, 2023 | 54 | 2023 |
| A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions D Kiyasseh, T Zhu, D Clifton Nature Communications 12 (1), 4221, 2021 | 49* | 2021 |
| A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons D Kiyasseh, J Laca, TF Haque, BJ Miles, C Wagner, DA Donoho, ... Communications Medicine 3 (1), 42, 2023 | 28 | 2023 |
| Human visual explanations mitigate bias in AI-based assessment of surgeon skills D Kiyasseh, J Laca, TF Haque, M Otiato, BJ Miles, C Wagner, DA Donoho, ... NPJ Digital Medicine 6 (1), 54, 2023 | 27 | 2023 |
| Surgical gestures as a method to quantify surgical performance and predict patient outcomes R Ma, A Ramaswamy, J Xu, L Trinh, D Kiyasseh, TN Chu, EY Wong, ... NPJ Digital Medicine 5 (1), 187, 2022 | 22 | 2022 |
| Severity detection tool for patients with infectious disease GA Tadesse, T Zhu, N Le Nguyen Thanh, NT Hung, HTH Duong, ... Healthcare Technology Letters 7 (2), 45-50, 2020 | 16 | 2020 |
| Segmentation of left atrial MR images via self-supervised semi-supervised meta-learning D Kiyasseh, A Swiston, R Chen, A Chen Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 13 | 2021 |
| The promise of clinical decision support systems targetting low-resource settings D Kiyasseh, T Zhu, D Clifton IEEE Reviews in Biomedical Engineering 15, 354-371, 2020 | 11 | 2020 |
| CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age D Kiyasseh, T Zhu, DA Clifton NeurIPS 2021, 2021 | 10 | 2021 |
| SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals D Kiyasseh, T Zhu, DA Clifton International Conference on Machine Learning (ICML), 2022 | 5* | 2022 |
| A framework for evaluating clinical artificial intelligence systems without ground-truth annotations D Kiyasseh, A Cohen, C Jiang, N Altieri Nature Communications 15 (1), 1808, 2024 | 3 | 2024 |
| AI-based Video Feedback to Improve Novice Performance on Robotic Suturing Skills-A Pilot Study. R Ma, D Kiyasseh, JA Laca, R Kocielnik, EY Wong, TN Chu, SY Cen, ... Journal of Endourology, 2023 | 2 | 2023 |
| PCPs: Patient Cardiac Prototypes to Probe AI-based Med-ical Diagnoses, Distill Datasets, and Retrieve Patients D Kiyasseh, T Zhu, D Clifton Transactions on Machine Learning Research (TMLR), 2023 | 2 | 2023 |
| PD30-05 AI-based video feedback to improve novice performance on a robotic suturing task JA Laca, D Kiyasseh, R Kocielnik, TF Haque, R Ma, A Anandkumar, ... Journal of Urology 209 (Supplement 4), e832, 2023 | 1 | 2023 |
| Quantification of robotic surgeries with vision-based deep learning D Kiyasseh, R Ma, TF Haque, J Nguyen, C Wagner, A Anandkumar, ... arXiv preprint arXiv:2205.03028, 2022 | 1 | 2022 |
| Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals D Kiyasseh, T Zhu, D Clifton arXiv preprint arXiv:2103.11011, 2021 | 1 | 2021 |
| Meta-learning for cardiac MRI segmentation D Kiyasseh, A Chen, AJ Swiston Jr, R Chen US Patent 12,002,202, 2024 | | 2024 |
Tingting ZhuAssociate Professor, University of Oxford在 eng.ox.ac.uk 的电子邮件经过验证
