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A Web- and Cloud- based Service for the Clinical Use of a CAD (Computer Aided Detection) System - Automated Detection of Lung Nodules in Thoracic CTs (Computed Tomographies).

M. Fantacci, A. Traverso, S. Bagnasco, C. Bracco, D. Campanella, G. Chiara, E. Torres, A. Manca, D. Regge, M. Saletta, M. Stasi, S. Vallero, L. Vassallo, and P. Cerello. BIOINFORMATICS, page 202-209. SciTePress, (2017)

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Paola Traverso

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Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.A. Setio, A. Traverso, T. de Bel, M. Berens, C. van den Bogaard, P. Cerello, H. Chen, Q. Dou, M. Fantacci, B. Geurts and 11 other author(s). Medical Image Anal., (2017)Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation.S. Pai, I. Hadzic, C. Rao, I. Zhovannik, A. Dekker, A. Traverso, S. Asteriadis, and E. Hortal. Sensors, 23 (3): 1089 (February 2023)Development and Application in Clinical Routine of Computer-aided Diagnosis Systems for the Early Detection of Lung Cancer - State-of-Art and Future Challenges.A. Traverso. EPS, SciTePress, (2016)A Web-based Computer Aided Detection System for Automated Search of Lung Nodules in Thoracic Computed Tomography Scans.M. Fantacci, S. Bagnasco, N. Camarlinghi, E. Fiorina, E. Torres, F. Pennanzio, C. Peroni, A. Retico, M. Saletta, C. Sottocornola and 2 other author(s). BIOINFORMATICS, page 213-218. SciTePress, (2015)A Web- and Cloud- based Service for the Clinical Use of a CAD (Computer Aided Detection) System - Automated Detection of Lung Nodules in Thoracic CTs (Computed Tomographies).M. Fantacci, A. Traverso, S. Bagnasco, C. Bracco, D. Campanella, G. Chiara, E. Torres, A. Manca, D. Regge, M. Saletta and 4 other author(s). BIOINFORMATICS, page 202-209. SciTePress, (2017)GAN-based one dimensional medical data augmentation.Y. Zhang, Z. Wang, Z. Zhang, J. Liu, Y. Feng, L. Wee, A. Dekker, Q. Chen, and A. Traverso. Soft Comput., 27 (15): 10481-10491 (August 2023)Black-Box Modeling and Optimal Control of a Two-Phase Flow Using Level Set Methods.A. Alessandri, P. Bagnerini, M. Gaggero, L. Mantelli, V. Santamaria, and A. Traverso. IEEE Trans. Control. Syst. Technol., 30 (2): 520-534 (2022)Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms.A. Traverso, A. Hosni-Abdalaty, M. Hasan, T. Tadic, T. Patel, M. Giuliani, J. Kim, J. Ringash, J. Cho, S. Bratman and 11 other author(s). Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113172C. SPIE, (2020)Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge.C. Rao, S. Pai, I. Hadzic, I. Zhovannik, D. Bontempi, A. Dekker, J. Teuwen, and A. Traverso. HECKTOR@MICCAI, volume 12603 of Lecture Notes in Computer Science, page 65-77. Springer, (2020)Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques.A. Traverso, M. Vallières, J. van Soest, L. Wee, O. Morin, and A. Dekker. SWAT4HCLS, volume 2849 of CEUR Workshop Proceedings, page 143-144. CEUR-WS.org, (2019)

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Paola Traverso

Paola Traverso

Paola Traverso

Paola Traverso

Paola Traverso

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