Dani Kiyasseh

Orcid: 0000-0002-2898-1790

According to our database1, Dani Kiyasseh authored at least 19 papers between 2019 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations.
CoRR, 2024

2023
PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients.
Trans. Mach. Learn. Res., 2023

Human visual explanations mitigate bias in AI-based assessment of surgeon skills.
npj Digit. Medicine, 2023

2022
Surgical gestures as a method to quantify surgical performance and predict patient outcomes.
npj Digit. Medicine, 2022

Quantification of Robotic Surgeries with Vision-Based Deep Learning.
CoRR, 2022

Turath-150K: Image Database of Arab Heritage.
CoRR, 2022

SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals.
Proceedings of the International Conference on Machine Learning, 2022

2021
Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals.
CoRR, 2021

CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age.
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.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings.
IEEE J. Biomed. Health Informatics, 2020

DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes.
CoRR, 2020

PCPs: Patient Cardiac Prototypes.
CoRR, 2020

CLOCS: Contrastive Learning of Cardiac Signals.
CoRR, 2020

SoQal: Selective Oracle Questioning in Active Learning.
CoRR, 2020

CLOPS: Continual Learning of Physiological Signals.
CoRR, 2020

ALPS: Active Learning via Perturbations.
CoRR, 2020

2019
Severity Detection Tool for Patients with Infectious Disease.
CoRR, 2019


  Loading...