Valeria De Luca

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 10

Top Topics

Sentiment Classification

Respiratory Motion

Automatic Segmentation

Histological Images

Top Venues

Medical Image Anal.

Frontiers Digit. Health

Publications

Ieuan Clay, Valeria De Luca, Akane Sano
Editorial: Multimodal digital approaches to personalized medicine. Frontiers Big Data 6 (2024)
Chaitra Rao, Elena Di Lascio, David Demanse, Nell Marshall, Monika Sopala, Valeria De Luca
Association of digital measures and self-reported fatigue: a remote observational study in healthy participants and participants with chronic inflammatory rheumatic disease. Frontiers Digit. Health 5 (2023)
Eduard Serrahima De Cambra, Jiale Peng, Gerard Sanz Estapé, Nick Taptiklis, Francesca Cormack, Kristin Hannesdottir, Jelena Curcic, Valeria De Luca
Role of caffeine on psycho-motor vigilance: an n-of-1 holistic approach. BSN (2023)
Matthias Hüser, Adrian Kündig, Walter Karlen, Valeria De Luca, Martin Jaggi
Forecasting intracranial hypertension using multi-scale waveform metrics. CoRR (2019)
Valeria De Luca, Amir Muaremi, Oonagh M. Giggins, Lorcan Walsh, Ieuan Clay
Towards fully instrumented and automated assessment of motor function tests. BHI (2018)
Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. WWW (2017)
Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. CoRR (2017)
Florian Wassmer, Valeria De Luca, Ruben Casanova, Alex Soltermann, Gábor Székely
Automatic segmentation of lung carcinoma in histological images using a visual dictionary. ISBI (2016)
Xiaoran Chen, Christine Tanner, Orçun Göksel, Gábor Székely, Valeria De Luca
Temporal Prediction of Respiratory Motion Using a Trained Ensemble of Forecasting Methods. MIAR (2016)
Jan Deriu, Maurice Gonzenbach, Fatih Uzdilli, Aurélien Lucchi, Valeria De Luca, Martin Jaggi
SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision. SemEval@NAACL-HLT (2016)
Valeria De Luca, Gábor Székely, Christine Tanner
Gated-tracking: Estimation of Respiratory Motion with Confidence. MICCAI (3) (2015)
Frank Preiswerk, Valeria De Luca, Patrik Arnold, Zarko Celicanin, Lorena Petrusca, Christine Tanner, Oliver Bieri, Rares Salomir, Philippe C. Cattin
Model-guided respiratory organ motion prediction of the liver from 2D ultrasound. Medical Image Anal. 18 (5) (2014)
Valeria De Luca, Michael Tschannen, Gábor Székely, Christine Tanner
A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences. MICCAI (1) (2013)
Valeria De Luca, Christine Tanner, Gábor Székely
Speeding-up image registration for repetitive motion scenarios. ISBI (2012)
Valeria De Luca, H. Grabner, Lorena Petrusca, Rares Salomir, Gábor Székely, Christine Tanner
Keep Breathing! Common Motion Helps Multi-modal Mapping. MICCAI (1) (2011)
Kavitha Arunachalam, Paolo F. Maccarini, Valeria De Luca, Piero Tognolatti, Fernando Bardati, Brent W. Snow, Paul R. Stauffer
Detection of Vesicoureteral Reflux Using Microwave Radiometry - System Characterization With Tissue Phantoms. IEEE Trans. Biomed. Eng. 58 (6) (2011)