Arian Ranjbar

14 papers Journal 5Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Digitizing paper ECGs at scale: an open-source algorithm for clinical research.
npj Digit. Medicine
Elias Stenhede, Agnar Martin Bjørnstad, Arian Ranjbar
2025 J jnl
Digitizing Paper ECGs at Scale: An Open-Source Algorithm for Clinical Research.
CoRR
Elias Stenhede, Agnar Martin Bjørnstad, Arian Ranjbar
2025 J jnl
ENSAM: an efficient foundation model for interactive segmentation of 3D medical images.
CoRR
Elias Stenhede, Agnar Martin Bjørnstad, Arian Ranjbar
2025 J jnl
Lite ENSAM: a lightweight cancer segmentation model for 3D Computed Tomography.
CoRR
Agnar Martin Bjørnstad, Elias Stenhede, Arian Ranjbar
2024 — conf
Monitoring of Artificial Intelligence in Hospitals.
MIE
Arian Ranjbar, Jesper Ravn
2023 — conf
Data Quality in Healthcare for the Purpose of Artificial Intelligence: A Case Study on ECG Digitalization.
ICIMTH
Arian Ranjbar, Jesper Ravn
2023 — conf
Designing an Efficient Implementation Process for Large Scale Adoption of Telehealth.
EFMI-STC
Nina Mickelson Weldingh, Arian Ranjbar
2023 — conf
Enabling Clinical Trials of Artificial Intelligence: Infrastructure for Heart Failure Predictions.
MIE
Arian Ranjbar, Jesper Ravn, Erland Ronningen, Ole Hanseth
2023 — conf
Fairness in Artificial Intelligence: Regulatory Sanbox Evaluation of Bias Prevention for ECG Classification.
MIE
Arian Ranjbar, Kristin Skolt, Kathinka Theodore Aakenes Vik, Beate Sletvold Øistad, Eilin Wermundsen Mork, Jesper Ravn
2023 — conf
MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions.
CinC
Bjørn-Jostein Singstad, Jesper Ravn, Arian Ranjbar
2023 — conf
Towards Invariant Soft Biometrics from Electrocardiograms.
CinC
Arian Ranjbar, Bjørn-Jostein Singstad, Jesper Ravn, Henrik Schirmer
2022 J jnl
Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation.
IEEE Trans. Intell. Veh.
Arian Ranjbar, Sascha Hornauer, Jonas Fredriksson, Stella X. Yu, Ching-Yao Chan
2020 — conf
Scene Novelty Prediction from Unsupervised Discriminative Feature Learning.
ITSC
Arian Ranjbar, Chun-Hsiao Yeh, Sascha Hornauer, Stella X. Yu, Ching-Yao Chan
2019 — conf
Driving Scene Retrieval by Example from Large-Scale Data.
CVPR Workshops
Sascha Hornauer, Baladitya Yellapragada, Arian Ranjbar, Stella X. Yu