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Pierandrea Cancian

Showing results (1-10 of 10) with videos related to

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JACC. Cardiovascular Interventions|January 23, 2025
Optical Coherence Tomography in Motion: Potential Cause for ArtifactsRick Volleberg, Pierandrea Cancian, Niels van Royen
Diagnostics (Basel, Switzerland)|August 27, 2021
The Applications of Artificial Intelligence in Chest Imaging of COVID-19 Patients: A Literature ReviewMaria Elena Laino, Angela Ammirabile, Alessandro Posa, et al.
Journal of Imaging|April 21, 2022
Generative Adversarial Networks in Brain Imaging: A Narrative ReviewMaria Elena Laino, Pierandrea Cancian, Letterio Salvatore Politi, et al.
Cells|April 30, 2021
Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for PathologyCesare Lancellotti, Pierandrea Cancian, Victor Savevski, et al.
Updates in Surgery|October 1, 2021
A machine learning risk model based on preoperative computed tomography scan to predict postoperative outcomes after pancreatoduodenectomyGiovanni Capretti, Cristiana Bonifacio, Crescenzo De Palma, et al.
Cancers|July 20, 2021
Development of a Deep-Learning Pipeline to Recognize and Characterize Macrophages in Colo-Rectal Liver MetastasisPierandrea Cancian, Nina Cortese, Matteo Donadon, et al.
European Heart Journal|September 1, 2025
Artificial intelligence-based identification of thin-cap fibroatheromas and clinical outcomes: the PECTUS-AI studyRick H J A Volleberg, Thijs J Luttikholt, Ruben G A van der Waerden, et al.
European Heart Journal. Digital Health|May 21, 2025
Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learningRick H J A Volleberg, Ruben G A van der Waerden, Thijs J Luttikholt, et al.
International Journal of Environmental Research and Public Health|April 3, 2021
Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based COVID-19 Patient Risk AssessmentAnargyros Chatzitofis, Pierandrea Cancian, Vasileios Gkitsas, et al.
European Heart Journal. Digital Health|March 20, 2025
Artificial intelligence for the analysis of intracoronary optical coherence tomography images: a systematic reviewRuben G A van der Waerden, Rick H J A Volleberg, Thijs J Luttikholt, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
JACC. Cardiovascular Interventions|January 23, 2025
Optical Coherence Tomography in Motion: Potential Cause for ArtifactsRick Volleberg, Pierandrea Cancian, Niels van Royen
Diagnostics (Basel, Switzerland)|August 27, 2021
The Applications of Artificial Intelligence in Chest Imaging of COVID-19 Patients: A Literature ReviewMaria Elena Laino, Angela Ammirabile, Alessandro Posa, et al.
Journal of Imaging|April 21, 2022
Generative Adversarial Networks in Brain Imaging: A Narrative ReviewMaria Elena Laino, Pierandrea Cancian, Letterio Salvatore Politi, et al.
Cells|April 30, 2021
Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for PathologyCesare Lancellotti, Pierandrea Cancian, Victor Savevski, et al.
Updates in Surgery|October 1, 2021
A machine learning risk model based on preoperative computed tomography scan to predict postoperative outcomes after pancreatoduodenectomyGiovanni Capretti, Cristiana Bonifacio, Crescenzo De Palma, et al.
Cancers|July 20, 2021
Development of a Deep-Learning Pipeline to Recognize and Characterize Macrophages in Colo-Rectal Liver MetastasisPierandrea Cancian, Nina Cortese, Matteo Donadon, et al.
European Heart Journal|September 1, 2025
Artificial intelligence-based identification of thin-cap fibroatheromas and clinical outcomes: the PECTUS-AI studyRick H J A Volleberg, Thijs J Luttikholt, Ruben G A van der Waerden, et al.
European Heart Journal. Digital Health|May 21, 2025
Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learningRick H J A Volleberg, Ruben G A van der Waerden, Thijs J Luttikholt, et al.
International Journal of Environmental Research and Public Health|April 3, 2021
Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based COVID-19 Patient Risk AssessmentAnargyros Chatzitofis, Pierandrea Cancian, Vasileios Gkitsas, et al.
European Heart Journal. Digital Health|March 20, 2025
Artificial intelligence for the analysis of intracoronary optical coherence tomography images: a systematic reviewRuben G A van der Waerden, Rick H J A Volleberg, Thijs J Luttikholt, et al.
Pageof 1