Severity Detection Tool for Patients with Infectious Disease. - Girmaw Abebe Tadesse; Tingting Zhu 001; 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; et al. (CoRR, 2019)

ALPS: Active Learning via Perturbations. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2020)

CLOPS: Continual Learning of Physiological Signals. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2020)

SoQal: Selective Oracle Questioning in Active Learning. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2020)

CLOCS: Contrastive Learning of Cardiac Signals. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2020)

PCPs: Patient Cardiac Prototypes. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2020)

DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 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 001; David A. Clifton (IEEE J. Biomed. Health Informatics, 2020)

CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (ICML, 2021)

Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning. - Dani Kiyasseh; Albert Swiston; Ronghua Chen; Antong Chen (MICCAI (2), 2021)

CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (NeurIPS, 2021)

Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2021)

SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (ICML, 2022)

Turath-150K: Image Database of Arab Heritage. - Dani Kiyasseh; Rasheed El-Bouri (CoRR, 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)

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; et al. (npj Digit. Medicine, 2022)

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)

PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (Trans. Mach. Learn. Res., 2023)

SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations. - Dani Kiyasseh; Aaron Cohen; Chengsheng Jiang; Nicholas Altieri 001 (CoRR, 2024)