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Valeria De Luca
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2020 – today
- 2024
- [j4]Ieuan Clay
, Valeria De Luca, Akane Sano:
Editorial: Multimodal digital approaches to personalized medicine. Frontiers Big Data 6 (2024) - 2023
- [j3]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) - [c10]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: 1-4
2010 – 2019
- 2019
- [i2]Matthias Hüser, Adrian Kündig, Walter Karlen, Valeria De Luca, Martin Jaggi:
Forecasting intracranial hypertension using multi-scale waveform metrics. CoRR abs/1902.09499 (2019) - 2018
- [c9]Valeria De Luca, Amir Muaremi, Oonagh M. Giggins, Lorcan Walsh, Ieuan Clay
:
Towards fully instrumented and automated assessment of motor function tests. BHI 2018: 83-87 - 2017
- [c8]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: 1045-1052 - [i1]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 abs/1703.02504 (2017) - 2016
- [c7]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: 1037-1040 - [c6]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: 383-391 - [c5]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: 1124-1128 - 2015
- [c4]Valeria De Luca, Gábor Székely, Christine Tanner:
Gated-tracking: Estimation of Respiratory Motion with Confidence. MICCAI (3) 2015: 451-458 - 2014
- [j2]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): 740-751 (2014) - 2013
- [c3]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: 518-525 - 2012
- [c2]Valeria De Luca, Christine Tanner, Gábor Székely:
Speeding-up image registration for repetitive motion scenarios. ISBI 2012: 1355-1358 - 2011
- [j1]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): 1629-1636 (2011) - [c1]Valeria De Luca, H. Grabner, Lorena Petrusca, Rares Salomir, Gábor Székely, Christine Tanner:
Keep Breathing! Common Motion Helps Multi-modal Mapping. MICCAI (1) 2011: 597-604
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last updated on 2024-08-05 21:12 CEST by the dblp team
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