Dani Kiyasseh

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Physiological Signals

Infectious Disease

Active Learning

Top Venues

npj Digit. Medicine

IEEE J. Biomed. Health Informatics

Publications

Dani Kiyasseh, Aaron Cohen, Chengsheng Jiang, Nicholas Altieri
SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations. CoRR (2024)
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
Human visual explanations mitigate bias in AI-based assessment of surgeon skills. npj Digit. Medicine 6 (2023)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients. Trans. Mach. Learn. Res. 2023 (2023)
Dani Kiyasseh, Rasheed El-Bouri
Turath-150K: Image Database of Arab Heritage. CoRR (2022)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals. ICML (2022)
Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, Jessica H. Nguyen, Christian Wagner, Animashree Anandkumar, Andrew J. Hung
Quantification of Robotic Surgeries with Vision-Based Deep Learning. CoRR (2022)
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
Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Medicine 5 (2022)
Dani Kiyasseh, Albert Swiston, Ronghua Chen, Antong Chen
Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning. MICCAI (2) (2021)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients. ICML (2021)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age. NeurIPS (2021)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals. CoRR (2021)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
CLOPS: Continual Learning of Physiological Signals. CoRR (2020)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
PCPs: Patient Cardiac Prototypes. CoRR (2020)
Dani Kiyasseh, Girmaw Abebe Tadesse, Nhan Le Nguyen Thanh, Le Van Tan, Louise Thwaites, Tingting Zhu, David A. Clifton
PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes. CoRR (2020)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
ALPS: Active Learning via Perturbations. CoRR (2020)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
SoQal: Selective Oracle Questioning in Active Learning. CoRR (2020)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
CLOCS: Contrastive Learning of Cardiac Signals. CoRR (2020)
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
Severity Detection Tool for Patients with Infectious Disease. CoRR (2019)