Arnaud Arindra Adiyoso Setio
I am a staff research scientist at Lunit Inc., working on deep learning, medical image analysis, and computer-aided diagnosis. Previously I was at Siemens Healthineers.
I obtained my PhD at the Diagnostic Image Analysis Group, Radboud University Medical Center, where I worked on automatic detection and classification of lung nodules in chest CT under the supervision of Bram van Ginneken. During my PhD I set up the LUNA16 challenge, a public benchmark for pulmonary nodule detection algorithms.
I hold a bachelor's degree in Electrical Engineering from Institut Teknologi Bandung and a master's degree from Eindhoven University of Technology. Outside of research I play in music ensembles — orchestra and angklung. I conducted the Nusantara Student Ensemble (strings) and Angklung Eindhoven.
Research interests: deep learning · medical image analysis · computer-aided diagnosis · computer vision · image processing
Projects
View all →Nodule malignancy prediction
Deep learning for malignancy risk estimation of pulmonary nodules, validated against expert readers.
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LUNA16 challenge
A public benchmark comparing nodule detection algorithms on the largest openly available chest CT database.
Read more →Lung nodule detection
Computer-aided detection of pulmonary nodules in chest CT using pattern recognition and deep learning.
Read more →Recent publications
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2026
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2025Beyond One Size Fits All: Customization of Radiology Report Generation MethodsInternational Workshop on Agentic AI for Medicine (MICCAI)
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2025SPEC-CXR: Advancing Clinical Safety Through Entity-Level Performance Evaluation of Chest X-ray Report GenerationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
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2023
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2021
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2021Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modelling of HemodynamicsIEEE Journal of Biomedical and Health Informatics