Dani Kiyasseh

According to our database, Dani Kiyasseh authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations.

Dani Kiyasseh, Aaron Cohen, Chengsheng Jiang, Nicholas Altieri

CoRR, 2024

2023

PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients.

Dani Kiyasseh, Tingting Zhu, David A. Clifton

Trans. Mach. Learn. Res., 2023

Human visual explanations mitigate bias in AI-based assessment of surgeon skills.

Dani Kiyasseh, Jasper Laca, Taseen F. Haque, Maxwell X. Otiato, Brian J. Miles, Christian Wagner, Daniel A. Donoho, Quoc-Dien Trinh, Animashree Anandkumar, Andrew J. Hung

npj Digit. Medicine, 2023

2022

Surgical gestures as a method to quantify surgical performance and predict patient outcomes.

Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina Demeo, Aditya Desai, Maxwell X. Otiato, Sidney I. Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarina Urbanova, Christian Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung

npj Digit. Medicine, 2022

Quantification of Robotic Surgeries with Vision-Based Deep Learning.

Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, Jessica H. Nguyen, Christian Wagner, Animashree Anandkumar, Andrew J. Hung

CoRR, 2022

Turath-150K: Image Database of Arab Heritage.

Dani Kiyasseh, Rasheed El-Bouri

CoRR, 2022

SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals.

Dani Kiyasseh, Tingting Zhu, David A. Clifton

Proceedings of the International Conference on Machine Learning, 2022

2021

Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals.

Dani Kiyasseh, Tingting Zhu, David A. Clifton

CoRR, 2021

CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age.

Dani Kiyasseh, Tingting Zhu, David A. Clifton

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning.

Dani Kiyasseh, Albert Swiston, Ronghua Chen, Antong Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients.

Dani Kiyasseh, Tingting Zhu, David A. Clifton

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings.

Dani Kiyasseh, Girmaw Abebe Tadesse, Nhan Le Nguyen Thanh, Le Van Tan, Louise Thwaites, Tingting Zhu, David A. Clifton

IEEE J. Biomed. Health Informatics, 2020

DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes.

Dani Kiyasseh, Tingting Zhu, David A. Clifton

CoRR, 2020

PCPs: Patient Cardiac Prototypes.

Dani Kiyasseh, Tingting Zhu, David A. Clifton

CoRR, 2020

CLOCS: Contrastive Learning of Cardiac Signals.

Dani Kiyasseh, Tingting Zhu, David A. Clifton

CoRR, 2020

SoQal: Selective Oracle Questioning in Active Learning.

Dani Kiyasseh, Tingting Zhu, David A. Clifton

CoRR, 2020

CLOPS: Continual Learning of Physiological Signals.

Dani Kiyasseh, Tingting Zhu, David A. Clifton

CoRR, 2020

ALPS: Active Learning via Perturbations.

Dani Kiyasseh, Tingting Zhu, David A. Clifton

CoRR, 2020

2019

Severity Detection Tool for Patients with Infectious Disease.

Girmaw Abebe Tadesse, Tingting Zhu, Nhan Le Nguyen Thanh, Nguyen Thanh Hung, Ha Thi Hai Duong, Truong Huu Khanh, Pham Van Quang, Duc Duong Tran, LamMinh Yen, H. Rogier Van Doorn, Nguyen Van Hao, John Prince, Hamza A. Javed, Dani Kiyasseh, Le Van Tan, Louise Thwaites, David A. Clifton

CoRR, 2019