Keep Breathing! Common Motion Helps Multi-modal Mapping. - Valeria De Luca; H. Grabner; Lorena Petrusca; Rares Salomir; Gábor Székely; Christine Tanner (MICCAI (1), 2011)

Detection of Vesicoureteral Reflux Using Microwave Radiometry - System Characterization With Tissue Phantoms. - Kavitha Arunachalam; Paolo F. Maccarini; Valeria De Luca; Piero Tognolatti; Fernando Bardati; Brent W. Snow; Paul R. Stauffer (IEEE Trans. Biomed. Eng., 2011)

Speeding-up image registration for repetitive motion scenarios. - Valeria De Luca; Christine Tanner; Gábor Székely (ISBI, 2012)

A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences. - Valeria De Luca; Michael Tschannen; Gábor Székely; Christine Tanner (MICCAI (1), 2013)

Model-guided respiratory organ motion prediction of the liver from 2D ultrasound. - Frank Preiswerk; Valeria De Luca; Patrik Arnold; Zarko Celicanin; Lorena Petrusca; Christine Tanner; Oliver Bieri; Rares Salomir; Philippe C. Cattin (Medical Image Anal., 2014)

Gated-tracking: Estimation of Respiratory Motion with Confidence. - Valeria De Luca; Gábor Székely; Christine Tanner (MICCAI (3), 2015)

Automatic segmentation of lung carcinoma in histological images using a visual dictionary. - Florian Wassmer; Valeria De Luca; Ruben Casanova; Alex Soltermann; Gábor Székely (ISBI, 2016)

Temporal Prediction of Respiratory Motion Using a Trained Ensemble of Forecasting Methods. - Xiaoran Chen; Christine Tanner; Orçun Göksel; Gábor Székely; Valeria De Luca (MIAR, 2016)

SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision. - Jan Deriu; Maurice Gonzenbach; Fatih Uzdilli; Aurélien Lucchi; Valeria De Luca; Martin Jaggi (SemEval@NAACL-HLT, 2016)

Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. - Jan Deriu; Aurélien Lucchi; Valeria De Luca; Aliaksei Severyn; Simon Müller; Mark Cieliebak; Thomas Hofmann 001; Martin Jaggi (WWW, 2017)

Towards fully instrumented and automated assessment of motor function tests. - Valeria De Luca; Amir Muaremi; Oonagh M. Giggins; Lorcan Walsh; Ieuan Clay (BHI, 2018)

Forecasting intracranial hypertension using multi-scale waveform metrics. - Matthias Hüser; Adrian Kündig; Walter Karlen; Valeria De Luca; Martin Jaggi (CoRR, 2019)

Role of caffeine on psycho-motor vigilance: an n-of-1 holistic approach. - Eduard Serrahima De Cambra; Jiale Peng; Gerard Sanz Estapé; Nick Taptiklis; Francesca Cormack; Kristin Hannesdottir; Jelena Curcic; Valeria De Luca (BSN, 2023)

Association of digital measures and self-reported fatigue: a remote observational study in healthy participants and participants with chronic inflammatory rheumatic disease. - Chaitra Rao; Elena Di Lascio; David Demanse; Nell Marshall; Monika Sopala; Valeria De Luca (Frontiers Digit. Health, 2023)

Editorial: Multimodal digital approaches to personalized medicine. - Ieuan Clay; Valeria De Luca; Akane Sano (Frontiers Big Data, 2024)