Driving Scene Retrieval by Example from Large-Scale Data. - Sascha Hornauer; Baladitya Yellapragada; Arian Ranjbar; Stella X. Yu (CVPR Workshops, 2019)

Scene Novelty Prediction from Unsupervised Discriminative Feature Learning. - Arian Ranjbar; Chun-Hsiao Yeh; Sascha Hornauer; Stella X. Yu; Ching-Yao Chan (ITSC, 2020)

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)

Towards Invariant Soft Biometrics from Electrocardiograms. - Arian Ranjbar; Bjørn-Jostein Singstad; Jesper Ravn; Henrik Schirmer (CinC, 2023)

MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions. - Bjørn-Jostein Singstad; Jesper Ravn; Arian Ranjbar (CinC, 2023)

Designing an Efficient Implementation Process for Large Scale Adoption of Telehealth. - Nina Mickelson Weldingh; Arian Ranjbar (EFMI-STC, 2023)

Data Quality in Healthcare for the Purpose of Artificial Intelligence: A Case Study on ECG Digitalization. - Arian Ranjbar; Jesper Ravn (ICIMTH, 2023)

Enabling Clinical Trials of Artificial Intelligence: Infrastructure for Heart Failure Predictions. - Arian Ranjbar; Jesper Ravn; Erland Ronningen; Ole Hanseth (MIE, 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 (MIE, 2023)

Monitoring of Artificial Intelligence in Hospitals. - Arian Ranjbar; Jesper Ravn (MIE, 2024)