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Dani Kiyasseh
Dani Kiyasseh
Research Scientist at Cedars-Sinai
Verified email at cshs.org - Homepage
Title
Cited by
Cited by
Year
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
141*2021
CLOCS: Contrastive learning of cardiac signals across space, time, and patients
D Kiyasseh, T Zhu, DA Clifton
International Conference on Machine Learning (ICML), 2021
138*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
612020
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
41*2021
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
332023
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
182023
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
152023
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
152020
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
122022
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
102021
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
D Kiyasseh, T Zhu, DA Clifton
NeurIPS 2021, 2021
92021
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
62020
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
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, ...
The Journal of Urology 209 (Supplement 4), e832, 2023
12023
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
12023
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
12022
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
12021
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
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
2023
Deep Learning with Limited Labelled Cardiac Data
D Kiyasseh
University of Oxford, 2021
2021
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