Valeria De Luca

16 papers A* 1C 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Editorial: Multimodal digital approaches to personalized medicine.
Frontiers Big Data
Ieuan Clay, Valeria De Luca, Akane Sano
2023 J jnl
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
Chaitra Rao, Elena Di Lascio, David Demanse, Nell Marshall, Monika Sopala, Valeria De Luca
2023 C conf
Role of caffeine on psycho-motor vigilance: an n-of-1 holistic approach.
BSN
Eduard Serrahima De Cambra, Jiale Peng, Gerard Sanz Estapé, Nick Taptiklis, Francesca Cormack, Kristin Hannesdottir, Jelena Curcic, Valeria De Luca
2019 J jnl
Forecasting intracranial hypertension using multi-scale waveform metrics.
CoRR
Matthias Hüser, Adrian Kündig, Walter Karlen, Valeria De Luca, Martin Jaggi
2018 — conf
Towards fully instrumented and automated assessment of motor function tests.
BHI
Valeria De Luca, Amir Muaremi, Oonagh M. Giggins, Lorcan Walsh, Ieuan Clay
2017 A* conf
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification.
WWW
Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi
2017 J jnl
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification.
CoRR
Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi
2016 — conf
Automatic segmentation of lung carcinoma in histological images using a visual dictionary.
ISBI
Florian Wassmer, Valeria De Luca, Ruben Casanova, Alex Soltermann, Gábor Székely
2016 — conf
SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision.
SemEval@NAACL-HLT
Jan Deriu, Maurice Gonzenbach, Fatih Uzdilli, Aurélien Lucchi, Valeria De Luca, Martin Jaggi
2016 — conf
Temporal Prediction of Respiratory Motion Using a Trained Ensemble of Forecasting Methods.
MIAR
Xiaoran Chen, Christine Tanner, Orçun Göksel, Gábor Székely, Valeria De Luca
2015 — conf
Gated-tracking: Estimation of Respiratory Motion with Confidence.
MICCAI (3)
Valeria De Luca, Gábor Székely, Christine Tanner
2014 J jnl
Model-guided respiratory organ motion prediction of the liver from 2D ultrasound.
Medical Image Anal.
Frank Preiswerk, Valeria De Luca, Patrik Arnold, Zarko Celicanin, Lorena Petrusca, Christine Tanner, Oliver Bieri, Rares Salomir, Philippe C. Cattin
2013 — conf
A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences.
MICCAI (1)
Valeria De Luca, Michael Tschannen, Gábor Székely, Christine Tanner
2012 — conf
Speeding-up image registration for repetitive motion scenarios.
ISBI
Valeria De Luca, Christine Tanner, Gábor Székely
2011 J jnl
Detection of Vesicoureteral Reflux Using Microwave Radiometry - System Characterization With Tissue Phantoms.
IEEE Trans. Biomed. Eng.
Kavitha Arunachalam, Paolo F. Maccarini, Valeria De Luca, Piero Tognolatti, Fernando Bardati, Brent W. Snow, Paul R. Stauffer
2011 — conf
Keep Breathing! Common Motion Helps Multi-modal Mapping.
MICCAI (1)
Valeria De Luca, H. Grabner, Lorena Petrusca, Rares Salomir, Gábor Székely, Christine Tanner