Arian Ranjbar

According to our database, Arian Ranjbar authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Associations between echocardiographic traits and AI-ECG predictions of heart failure.

Elias Stenhede, Eivind Bjørkan Orstad, Torbjørn Omland, Henrik Schirmer, Arian Ranjbar

CoRR, May, 2026

EchoXFlow: A Beamspace Echocardiography Dataset for Cardiac Motion, Flow, and Function.

Elias Stenhede, Joanna Sulkowska, Eivind Bjørkan Orstad, Henrik Schirmer, Arian Ranjbar

CoRR, May, 2026

Biomarker-Based Pretraining for Chagas Disease Screening in Electrocardiograms.

Elias Stenhede, Arian Ranjbar

CoRR, April, 2026

Digitizing paper ECGs at scale: an open-source algorithm for clinical research.

Elias Stenhede, Agnar Martin Bjørnstad, Arian Ranjbar

npj Digit. Medicine, 2026

2025

Lite ENSAM: a lightweight cancer segmentation model for 3D Computed Tomography.

Agnar Martin Bjørnstad, Elias Stenhede, Arian Ranjbar

CoRR, November, 2025

ENSAM: An Efficient Foundation Model for Interactive Segmentation of 3D Medical Images.

Elias Stenhede, Agnar Martin Bjørnstad, Arian Ranjbar

Proceedings of the Foundation Models for 3D Biomedical Image Segmentation, 2025

2024

Monitoring of Artificial Intelligence in Hospitals.

Arian Ranjbar, Jesper Ravn

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2023

Fairness in Artificial Intelligence: Regulatory Sanbox Evaluation of Bias Prevention for ECG Classification.

Arian Ranjbar, Kristin Skolt, Kathinka Theodore Aakenes Vik, Beate Sletvold Øistad, Eilin Wermundsen Mork, Jesper Ravn

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Enabling Clinical Trials of Artificial Intelligence: Infrastructure for Heart Failure Predictions.

Arian Ranjbar, Jesper Ravn, Erland Ronningen, Ole Hanseth

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Data Quality in Healthcare for the Purpose of Artificial Intelligence: A Case Study on ECG Digitalization.

Arian Ranjbar, Jesper Ravn

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Designing an Efficient Implementation Process for Large Scale Adoption of Telehealth.

Nina Mickelson Weldingh, Arian Ranjbar

Proceedings of the Telehealth Ecosystems in Practice, 2023

MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions.

Bjørn-Jostein Singstad, Jesper Ravn, Arian Ranjbar

Proceedings of the Computing in Cardiology, 2023

Towards Invariant Soft Biometrics from Electrocardiograms.

Arian Ranjbar, Bjørn-Jostein Singstad, Jesper Ravn, Henrik Schirmer

Proceedings of the Computing in Cardiology, 2023

2022

Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation.

Arian Ranjbar, Sascha Hornauer, Jonas Fredriksson, Stella X. Yu, Ching-Yao Chan

IEEE Trans. Intell. Veh., 2022

2020

Scene Novelty Prediction from Unsupervised Discriminative Feature Learning.

Arian Ranjbar, Chun-Hsiao Yeh, Sascha Hornauer, Stella X. Yu, Ching-Yao Chan

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Driving Scene Retrieval by Example from Large-Scale Data.

Sascha Hornauer, Baladitya Yellapragada, Arian Ranjbar, Stella X. Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019