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Valeria De Luca
Valeria De Luca
Data Scientist, Novartis Institutes for Biomedical Research
Verified email at novartis.com
Title
Cited by
Cited by
Year
Swisscheese at semeval-2016 task 4: Sentiment classification using an ensemble of convolutional neural networks with distant supervision
J Deriu, M Gonzenbach, F Uzdilli, A Lucchi, VD Luca, M Jaggi
Proceedings of the 10th International Workshop on Semantic Evaluation, 1124-1128, 2016
1302016
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification
J Deriu, A Lucchi, V De Luca, A Severyn, S Müller, M Cieliebak, ...
Proceedings of the 26th International Conference on World Wide Web, 1045-1052, 2017
1242017
Model-guided respiratory organ motion prediction of the liver from 2D ultrasound
F Preiswerk, V De Luca, P Arnold, Z Celicanin, L Petrusca, C Tanner, ...
Medical image analysis 18 (5), 740-751, 2014
652014
The 2014 liver ultrasound tracking benchmark
V De Luca, T Benz, S Kondo, L König, D Lübke, S Rothlübbers, ...
Physics in Medicine & Biology 60 (14), 5571, 2015
632015
Modeling the detectability of vesicoureteral reflux using microwave radiometry
K Arunachalam, PF Maccarini, V De Luca, F Bardati, BW Snow, ...
Physics in Medicine & Biology 55 (18), 5417, 2010
562010
Hybrid ultrasound/magnetic resonance simultaneous acquisition and image fusion for motion monitoring in the upper abdomen
L Petrusca, P Cattin, V De Luca, F Preiswerk, Z Celicanin, V Auboiroux, ...
Investigative radiology 48 (5), 333-340, 2013
492013
Detection of vesicoureteral reflux using microwave radiometry—system characterization with tissue phantoms
K Arunachalam, P Maccarini, V De Luca, P Tognolatti, F Bardati, B Snow, ...
IEEE Transactions on Biomedical Engineering 58 (6), 1629-1636, 2011
442011
A Learning-based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences
V De Luca, M Tschannen, G Székely, C Tanner
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013 …, 2013
422013
Non-invasive vesicoureteral reflux detection: Heating risk studies for a new device
BW Snow, K Arunachalam, V De Luca, PF Maccarini, Ø Klemetsen, ...
Journal of pediatric urology 7 (6), 624-630, 2011
362011
Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound‐guided liver radiotherapy margins
V De Luca, J Banerjee, A Hallack, S Kondo, M Makhinya, D Nouri, ...
Medical physics 45 (11), 4986-5003, 2018
332018
Estimation of Large-Scale Organ Motion in B-Mode Ultrasound Image Sequences: A Survey
V De Luca, G Székely, C Tanner
Ultrasound in Medicine & Biology 41 (12), 3044-3062, 2015
292015
Microwave radiometry for non-invasive detection of vesicoureteral reflux (VUR) following bladder warming
PR Stauffer, PF Maccarini, K Arunachalam, V De Luca, S Salahi, A Boico, ...
Proceedings of SPIE 7901, 79010V, 2011
262011
Assessment of Fatigue Using Wearable Sensors: A Pilot Study
H Luo, PA Lee, I Clay, M Jaggi, V De Luca
Digital Biomarkers 4 (1), 59-72, 2020
162020
Automated false alarm reduction in a real-life intensive care setting using motion detection
C Muroi, S Meier, V De Luca, DJ Mack, C Strässle, P Schwab, W Karlen, ...
Neurocritical care 32 (2), 419-426, 2020
92020
Forecasting intracranial hypertension using multi-scale waveform metrics
M Hüser, A Kündig, W Karlen, V De Luca, M Jaggi
Physiological Measurement 41 (1), 014001, 2020
92020
Erratum: Ultrasound-driven 4D MRI (2018 Phys. Med. Biol. 63 145015)
A Giger, M Stadelmann, F Preiswerk, C Jud, V De Luca, Z Celicanin, ...
Physics in Medicine and Biology 63 (17), 179601, 2018
9*2018
Ultrasound-driven 4D MRI
A Giger, M Stadelmann, F Preiswerk, C Jud, V De Luca, Z Celicanin, ...
Physics in Medicine & Biology 63 (14), 145015, 2018
92018
Speeding-up image registration for repetitive motion scenarios
V De Luca, C Tanner, G Székely
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1355-1358, 2012
92012
Translational precision medicine: an industry perspective
D Hartl, V de Luca, A Kostikova, J Laramie, S Kennedy, E Ferrero, ...
Journal of Translational Medicine 19, 2021
82021
A Study of Novel Exploratory Tools, Digital Technologies, and Central Nervous System Biomarkers to Characterize Unipolar Depression
O Sverdlov, J Curcic, K Hannesdottir, L Gou, V De Luca, F Ambrosetti, ...
Frontiers in Psychiatry 12, 2021
82021
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