Selected Publications
A vision transformer for decoding surgeon activity from surgical videos
Dani Kiyasseh, ..., Anima Anandkumar, Andrew Hung
Nature Biomedical Engineering, 2023
Dani Kiyasseh
Human visual explanations mitigate bias in AI-based assessment of surgeon skills
Dani Kiyasseh, ..., Anima Anandkumar, Andrew Hung
npj Digital Medicine, 2023
Dani Kiyasseh, ..., Anima Anandkumar, Andrew Hung
Communications Medicine, 2023
Dani Kiyasseh, Tingting Zhu, David A. Clifton
Transactions on Machine Learning Research (TMLR) 2023
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals.
Dani Kiyasseh, Tingting Zhu, David A. Clifton
International Conference on Machine Learning (ICML) 2022
Spotlight Presentation
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age.
Dani Kiyasseh, Tingting Zhu, David A. Clifton
Neural Information Processing Systems (NeurIPS) 2021
Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning
Dani Kiyasseh, Albert Swiston, Ronghua Chen, Antong Chen
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients.
Dani Kiyasseh, Tingting Zhu, David A. Clifton
International Conference on Machine Learning (ICML) 2021
Spotlight Presentation
Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals.
Dani Kiyasseh, Tingting Zhu, David A. Clifton
Under Review at EMNLP 2022
Dani Kiyasseh, Tingting Zhu, David A. Clifton
Nature Communications, 2021
The Promise of Clinical Decision Support Systems Targetting Low-Resource Settings.
Dani Kiyasseh, Tingting Zhu, David A. Clifton
IEEE Reviews in Biomedical Engineering, 2020
PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings.
Dani Kiyasseh, ..., Tingting Zhu, David A. Clifton
IEEE Journal of Biomedical and Health Informatics, 2020