Arnaud Arindra Adiyoso Setio

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

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Pulmonary nodules malignancy prediction in CT images

Nodule malignancy prediction

Deep learning for malignancy risk estimation of pulmonary nodules, validated against expert readers.

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Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in CT images

LUNA16 challenge

A public benchmark comparing nodule detection algorithms on the largest openly available chest CT database.

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Development of lung nodule detection algorithms in chest CT

Lung nodule detection

Computer-aided detection of pulmonary nodules in chest CT using pattern recognition and deep learning.

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Recent publications

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