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Manolis Tsiknakis

Showing results (101-110 of 132) with videos related to

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Bioengineering (Basel, Switzerland)|March 28, 2025
Simplatab: An Automated Machine Learning Framework for Radiomics-Based Bi-Parametric MRI Detection of Clinically Significant Prostate CancerDimitrios I Zaridis, Vasileios C Pezoulas, Eugenia Mylona, et al.
Studies in Health Technology and Informatics|November 11, 2006
HEARTFAID: A knowledge based platform of services for supporting medical-clinical management of heart failure within elderly populationDomenico Conforti, Domenico Costanzo, Francesco Perticone, et al.
Journal of Biomedical Informatics|May 5, 2010
The ACGT Master Ontology and its applications--towards an ontology-driven cancer research and management systemMathias Brochhausen, Andrew D Spear, Cristian Cocos, et al.
Insights Into Imaging|May 10, 2022
Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paperLuis Marti-Bonmati, Dow-Mu Koh, Katrine Riklund, et al.
IEEE Journal of Biomedical and Health Informatics|October 11, 2013
The technologically integrated oncosimulator: combining multiscale cancer modeling with information technology in the in silico oncology contextGeorgios Stamatakos, Dimitra Dionysiou, Aran Lunzer, et al.
Journal of Biomedical Informatics|December 10, 2019
Patient empowerment for cancer patients through a novel ICT infrastructureHaridimos Kondylakis, Anca Bucur, Chiara Crico, et al.
European Radiology Experimental|January 15, 2025
Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!Ioanna Chouvarda, Sara Colantonio, Ana S C Verde, et al.
Radiology. Artificial Intelligence|January 22, 2025
Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning-assisted Prostate Cancer Classification Using Multiparametric MRIJosé Guilherme de Almeida, Nuno M Rodrigues, Ana Sofia Castro Verde, et al.
Clinical and Experimental Rheumatology|October 23, 2020
A Training Tool to support the management and diagnosis of Sjögren's syndromeChariklia Chatzaki, Andreas Goules, Salvatore De Vita, et al.
Scientific Reports|April 30, 2025
Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detectorNuno M Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, et al.
Pageof 14

Showing results (101-110 of 132) with videos related to

Sort By:
Pageof 14
Bioengineering (Basel, Switzerland)|March 28, 2025
Simplatab: An Automated Machine Learning Framework for Radiomics-Based Bi-Parametric MRI Detection of Clinically Significant Prostate CancerDimitrios I Zaridis, Vasileios C Pezoulas, Eugenia Mylona, et al.
Studies in Health Technology and Informatics|November 11, 2006
HEARTFAID: A knowledge based platform of services for supporting medical-clinical management of heart failure within elderly populationDomenico Conforti, Domenico Costanzo, Francesco Perticone, et al.
Journal of Biomedical Informatics|May 5, 2010
The ACGT Master Ontology and its applications--towards an ontology-driven cancer research and management systemMathias Brochhausen, Andrew D Spear, Cristian Cocos, et al.
Insights Into Imaging|May 10, 2022
Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paperLuis Marti-Bonmati, Dow-Mu Koh, Katrine Riklund, et al.
IEEE Journal of Biomedical and Health Informatics|October 11, 2013
The technologically integrated oncosimulator: combining multiscale cancer modeling with information technology in the in silico oncology contextGeorgios Stamatakos, Dimitra Dionysiou, Aran Lunzer, et al.
Journal of Biomedical Informatics|December 10, 2019
Patient empowerment for cancer patients through a novel ICT infrastructureHaridimos Kondylakis, Anca Bucur, Chiara Crico, et al.
European Radiology Experimental|January 15, 2025
Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!Ioanna Chouvarda, Sara Colantonio, Ana S C Verde, et al.
Radiology. Artificial Intelligence|January 22, 2025
Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning-assisted Prostate Cancer Classification Using Multiparametric MRIJosé Guilherme de Almeida, Nuno M Rodrigues, Ana Sofia Castro Verde, et al.
Clinical and Experimental Rheumatology|October 23, 2020
A Training Tool to support the management and diagnosis of Sjögren's syndromeChariklia Chatzaki, Andreas Goules, Salvatore De Vita, et al.
Scientific Reports|April 30, 2025
Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detectorNuno M Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, et al.
Pageof 14