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Top-Down Saliency Detection Driven by Visual Classification." Computer Vision and Image Understanding (2018)."
A comparison of deep learning with global features for gastrointestinal disease detection In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.
A Holistic Multimedia System for Gastrointestinal Tract Disease Detection In 8th annual ACM conference on Multimedia Systems (MMSys), Edited by P. Cesar and C. Hsu. ACM, 2017.
Kvasir: A Multi-Class Image-Dataset for Computer Aided Gastrointestinal Disease Detection In ACM Multimedia Systems. Taiwan: ACM, 2017.
Multimedia for medicine: the medico Task at mediaEval 2017 In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.
Nerthus: A Bowel Preparation Quality Video Dataset In ACM Multimedia Systems. Taipei: ACM, 2017.
The MediaEval 2016 Context of Experience Task: Recommending Videos Suiting a Watching Situation In MediaEval 2016 Workshop. Hilversum, Netherlands: CEUR Workshop Proceedings, 2016.
Multimedia and Medicine: Teammates for Better Disease Detection and Survival In ACM Multimedia. Amsterdam, The Netherlands, The Netherlands: ACM, 2016.
Right inflight? A dataset for exploring the automatic prediction of movies suitable for a watching situation In Multimedia Systems Conference 2016. New York: ACM, 2016.
Introduction to a Task on Context of Experience: Recommending Videos Suiting a Watching Situation In MediaEval Benchmarking Initiative for Multimedia Evaluation. Wurzen, Germany: CEUR Workshop Proceedings, 2015.