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Arnaud Arindra Adiyoso Setio is a staff research scientist at Lunit Inc., focusing on deep learning, medical image analysis, and computer-aided diagnosis. Previously, he worked at Siemens Healthineers.
During his PhD at the Diagnostic Image Analysis Group, he worked on automatic lung nodule detection and classification in chest CT, supervised by Bram van Ginneken. He holds a bachelor’s degree in Electrical Engineering from Institut Teknologi Bandung and a master’s degree from Eindhoven University of Technology.
Outside of research, he is actively involved in music ensembles — orchestra and angklung. He was a conductor of Nusantara Student Ensemble (string) and Angklung Eindhoven.
Research interests: deep learning · medical image analysis · computer-aided diagnosis · computer vision · image processing
Recent Publications
Deep learning-based pulmonary nodule risk assessment outperforms established malignancy risk scores in lung cancer screening
Radiology Advances, 2026
Beyond One Size Fits All: Customization of Radiology Report Generation Methods
International Workshop on Agentic AI for Medicine (MICCAI), 2025
SPEC-CXR: Advancing Clinical Safety Through Entity-Level Performance Evaluation of Chest X-ray Report Generation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Accuracy of artificial intelligence model for infectious keratitis classification: a systematic review and meta-analysis
Frontiers in Public Health, 2023
Deep learning for lung cancer detection on screening CT scans: results of a large-scale public competition and an observer study with 11 radiologists
Radiology: Artificial Intelligence, 2021