Valeria De Luca

According to our database, Valeria De Luca authored at least 15 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Editorial: Multimodal digital approaches to personalized medicine.

Ieuan Clay, Valeria De Luca, Akane Sano

Frontiers Big Data, 2024

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, March, 2023

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

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2019

Forecasting intracranial hypertension using multi-scale waveform metrics.

Matthias Hüser, Adrian Kündig, Walter Karlen, Valeria De Luca, Martin Jaggi

CoRR, 2019

2018

Towards fully instrumented and automated assessment of motor function tests.

Valeria De Luca, Amir Muaremi, Oonagh M. Giggins, Lorcan Walsh, Ieuan Clay

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

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, Martin Jaggi

Proceedings of the 26th International Conference on World Wide Web, 2017

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

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Temporal Prediction of Respiratory Motion Using a Trained Ensemble of Forecasting Methods.

Xiaoran Chen, Christine Tanner, Orçun Göksel, Gábor Székely, Valeria De Luca

Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

Automatic segmentation of lung carcinoma in histological images using a visual dictionary.

Florian Wassmer, Valeria De Luca, Ruben Casanova, Alex Soltermann, Gábor Székely

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Gated-tracking: Estimation of Respiratory Motion with Confidence.

Valeria De Luca, Gábor Székely, Christine Tanner

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2014

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

2013

A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences.

Valeria De Luca, Michael Tschannen, Gábor Székely, Christine Tanner

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

Speeding-up image registration for repetitive motion scenarios.

Valeria De Luca, Christine Tanner, Gábor Székely

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

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

Keep Breathing! Common Motion Helps Multi-modal Mapping.

Valeria De Luca, H. Grabner, Lorena Petrusca, Rares Salomir, Gábor Székely, Christine Tanner

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011