An AI Platform integrating imaging data and models, supporting precision care through prostate cancer’s continuum

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Deep Learning Master model and Radiomic Signatures
2nd Communication and Dissemination Activities Report
Retrospective Data Retrieval and upload
Explainable, interpretable, ethical and trustworthy AI framework

Explainable interpretable ethical and trustworthy AI framework

Imaging Repository, HPC, tools and services

Imaging Repository HPC tools and services

Vendor-specific AI models

Vendorspecific AI models

Report on requirements elicitation and initial design of the platform
Pre-processing tools

Preprocessing tools

Data Curation, Annotation and Upload tools

Data Curation Annotation and Upload tools

Initial Data Management Plan
FAIRification of radiomics and AI
Final Data Management Plan
1st Communication and Dissemination Activities Report

Open Research Data Pilot

Final version of the ProCAncer-I platform, interoperability and AI services

Publikacje

Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences

Autorzy: Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, null null, Eugenia Mylona, Dimitris Zaridis, Charalampos Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, Dimitris Fotiadis, Stelios Sfakianakis, Varvara Kalokyri, Eleftherios Tri
Opublikowane w: Insights into Imaging, Numer 15, 2024, ISSN 1869-4101
Wydawca: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-024-01783-9

The Role of Causality in Explainable Artificial Intelligence

Autorzy: Gianluca Carloni, Andrea Berti, Sara Colantonio
Opublikowane w: WIREs Data Mining and Knowledge Discovery, Numer 15, 2025, ISSN 1942-4787
Wydawca: John Wiley and Sons Inc.
DOI: 10.1002/widm.70015

A systematic review of few-shot learning in medical imaging

Autorzy: Eva Pachetti, Sara Colantonio
Opublikowane w: Artificial Intelligence in Medicine, Numer 156, 2024, Strona(/y) 102949, ISSN 0933-3657
Wydawca: Elsevier BV
DOI: 10.1016/j.artmed.2024.102949

Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning–based Prostate Cancer Detection Using Biparametric MRI

Autorzy: Joeran S. Bosma, Anindo Saha, Matin Hosseinzadeh, Ivan Slootweg, Maarten de Rooij, and Henkjan Huisman
Opublikowane w: Radiology: Artificial Intelligence 2023 5:5, Numer Vol. 5, No. 5, 2023, ISSN 2638-6100
Wydawca: Radiology: Artificial Intelligence
DOI: 10.1148/ryai.230031

Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning–assisted Prostate Cancer Classification Using Multiparametric MRI

Autorzy: José Guilherme de Almeida, Nuno M. Rodrigues, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Celso Matos, Sara Silva, Manolis Tsiknakis, Kostantinos Marias, Daniele Regge, Nikolaos Papanikolaou, null null
Opublikowane w: Radiology: Artificial Intelligence, Numer 7, 2025, ISSN 2638-6100
Wydawca: Radiological Society of North America (RSNA)
DOI: 10.1148/ryai.230555

Medical machine learning operations: a framework to facilitate clinical AI development and deployment in radiology

Autorzy: José Guilherme de Almeida, Christina Messiou, Sam J. Withey, Celso Matos, Dow-Mu Koh, Nickolas Papanikolaou
Opublikowane w: European Radiology, 2025, ISSN 1432-1084
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/s00330-025-11654-6

Automatic magnetic resonance imaging series labelling for large repositories

Autorzy: Armando Gomis Maya, Leonor Cerda Alberich, Diana Veiga Canuto, Lorenzo Faggioni, Amadeo Ten, Gloria Ribas, Pedro Mallol, Joan Vila-Frances, Luis Martí-Bonmatí
Opublikowane w: Diagnostic RadiologyDiagnostic ImagingMedicineRadiologyDICOM, 2025, ISSN 2693-5015
Wydawca: researchsquare
DOI: 10.21203/rs.3.rs-4369514/v1

Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges

Autorzy: Mohammed R. S. Sunoqrot, Anindo Saha, Matin Hosseinzadeh, Mattijs Elschot, Henkjan Huisman
Opublikowane w: European Radiology Experimental, Numer 6, 2022, ISSN 2509-9280
Wydawca: Springer Science and Business Media LLC
DOI: 10.1186/s41747-022-00288-8

A first look into radiomics application in testicular imaging: A systematic review

Autorzy: Fanni, Salvatore C. and Febi, Maria and Colligiani, Leonardo and Volpi, Federica and Ambrosini, Ilaria and Tumminello, Lorenzo and Aghakhanyan, Gayane and Aringhieri, Giacomo and Cioni, Dania and Neri, Emanuele
Opublikowane w: Front. Radiol., 17 April 2023., 2023, ISSN 2673-8740
Wydawca: Frontiers in Radiology
DOI: 10.3389/fradi.2023.1141499

The EU legal framework for using artificial intelligence and imaging databases and imaging biobanks for research purposes: applying the notion of Fairness

Autorzy: Valentina Colcelli
Opublikowane w: Cadernos Ibero-Americanos de Direito Sanitário, Numer 13, 2024, Strona(/y) 124-140, ISSN 2358-1824
Wydawca: Cadernos Ibero-Americanos de Direito Sanitario
DOI: 10.17566/ciads.v13i4.1288

A deep look into radiomics

Autorzy: Camilla Scapicchio · Michela Gabelloni· Andrea Barucci · Dania Cioni · Luca Saba · Emanuele Neri
Opublikowane w: La radiologia medica volume 126, (2021), 2021, Strona(/y) 1296–1311, ISSN 1826-6983
Wydawca: SPRINGER
DOI: 10.1007/s11547-021-01389-x

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Autorzy: Karim Lekadir, Alejandro F Frangi, Antonio R Porras, Ben Glocker, Celia Cintas, Curtis P Langlotz, Eva Weicken, Folkert W Asselbergs, Fred Prior, Gary S Collins, Georgios Kaissis, Gianna Tsakou, Irène Buvat, Jayashree Kalpathy-Cramer, John Mongan, Julia A Schnabel, Kaisar Kushibar, Katrine Riklund, Kostas Marias, Lameck M Amugongo, Lauren A Fromont, Lena Maier-Hein, Leonor Cerdá-Alberich, Luis M
Opublikowane w: BMJ, 2025, Strona(/y) e081554, ISSN 1756-1833
Wydawca: BMJ
DOI: 10.1136/bmj-2024-081554

a report on the experiences of five EU projects

Autorzy: Haridimos Kondylakis; Varvara Kalokyri; Stelios Sfakianakis; Kostas Marias; Manolis Tsiknakis; Ana Jimenez-Pastor; Eduardo Camacho-Ramos; Ignacio Blanquer; J. Damian Segrelles; Sergio López-Huguet; Caroline Barelle; Magdalena Kogut-Czarkowska; Gianna Tsakou; Nikolaos Siopis; Zisis Sakellariou; Paschalis Bizopoulos; Vicky Drossou; Antonios Lalas; Konstantinos Votis; Pedro Mallol; Luis Marti-Bonmat
Opublikowane w: European radiology experimental, 7(1):20. Springer Open, Numer 24, 2023, ISSN 2509-9280
Wydawca: Springer
DOI: 10.1186/s41747-023-00336-x

Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper

Autorzy: Luis Marti-Bonmati, Dow-Mu Koh, Katrine Riklund, Maciej Bobowicz, Yiannis Roussakis, Joan C. Vilanova, Jurgen J. Fütterer, Jordi Rimola, Pedro Mallol, Gloria Ribas, Ana Miguel, Manolis Tsiknakis, Karim Lekadir & Gianna Tsakou
Opublikowane w: Insights into Imaging volume 13, Article number: 89 (2022), 2022, ISSN 1869-4101
Wydawca: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-022-01220-9

Automatic sequence identification in multicentric prostate multiparametric MRI datasets for clinical machine-learning

Autorzy: José Guilherme de Almeida, Ana Sofia Castro Verde, Carlos Bilreiro, Inês Santiago, Joana Ip, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Celso Matos, Nickolas Papanikolaou, null null
Opublikowane w: Insights into Imaging, Numer 16, 2025, ISSN 1869-4101
Wydawca: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-025-01938-2

A smart cropping pipeline to improve prostate's peripheral zone segmentation on MRI using Deep Learning

Autorzy: Zaridis Dimitris; Mylona Eugenia; Tachos Nikolaos; Marias Kostas; Tsiknakis Manolis; Fotiadis Dimitrios
Opublikowane w: EAI Endorsed Transactions on Bioengineering and Bioinformatics, Numer 2, 2022, ISSN 2709-4111
Wydawca: EUDL
DOI: 10.4108/eai.24-2-2022.173546

a report on the experiences of five EU projects

Autorzy: Haridimos Kondylakis; Varvara Kalokyri; Stelios Sfakianakis; Kostas Marias; Manolis Tsiknakis; Ana Jimenez-Pastor; Eduardo Camacho-Ramos; Ignacio Blanquer; J. Damian Segrelles; Sergio López-Huguet; Caroline Barelle; Magdalena Kogut-Czarkowska; Gianna Tsakou; Nikolaos Siopis; Zisis Sakellariou; Paschalis Bizopoulos; Vicky Drossou; Antonios Lalas; Konstantinos Votis; Pedro Mallol; Luis Marti-Bonmat
Opublikowane w: European radiology experimental, Numer 42, 2023, ISSN 2509-9280
Wydawca: springer open

Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data

Autorzy: Nuno Miguel Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Raquel Moreno, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, Nickolas Papanikolaou
Opublikowane w: Computers in Biology and Medicine, Numer 171, 2024, Strona(/y) 108216, ISSN 0010-4825
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2024.108216

Virtual biopsy in abdominal pathology: where do we stand?

Autorzy: Arianna Defeudis, Jovana Panic, Giulia Nicoletti, Simone Mazzetti, Valentina Giannini and Daniele Regge
Opublikowane w: Volume 5, Numer 1November 2023, 2023, ISSN 2513-9878
Wydawca: BJR OPEN /British Institute of Radiology
DOI: 10.1259/bjro.20220055

Long-term follow-up results of multiparametric prostate MRI and the prognostic value of PI-RADS: a single-center retrospective cohort study

Autorzy: Ömer Önder, Müjdat Ayva, Yasin Yaraşır, Volkan Gürler, Mustafa Sertaç Yazıcı, Bülent Akdoğan, Ali Devrim Karaosmanoğlu, Muşturay Karçaaltıncaba, Mustafa Nasuh Özmen, Deniz Akata
Opublikowane w: Diagnostic and Interventional Radiology, Numer 30, 2025, Strona(/y) 139-151, ISSN 1305-3825
Wydawca: Turkish Society of Radiology
DOI: 10.4274/dir.2023.232414

Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector

Autorzy: Nuno M. Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bireiro, Inês Santiago, Joana Ip, Sara Belião, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, null null, Manolis Tsiknakis, Kostas Marias, Stelios Sfakianakis, Varvara Kalokyri, Eleftherios Trivizakis, Grigorios Kalliatakis, Avtantil Dimitriadis, D
Opublikowane w: Scientific Reports, Numer 15, 2025, ISSN 2045-2322
Wydawca: Nature Publishing Group
DOI: 10.1038/s41598-025-99795-y

Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic review

Autorzy: Avtantil Dimitriadis, Eleftherios Trivizakis, Nikolaos Papanikolaou, Manolis Tsiknakis & Kostas Marias
Opublikowane w: Insights into Imaging 13(188), 2022, ISSN 1869-4101
Wydawca: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-022-01315-3

Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks

Autorzy: Kondylakis, Haridimos; Ciarrocchi, Esther; Cerda-Alberich, Leonor; Chouvarda, Ioanna; Fromont, Lauren A.; Garcia-Aznar, Jose Manuel; Kalokyri, Varvara; Kosvyra, Alexandra; Walker, Dawn; Yang, Guang; Neri, Emanuele; The AI4HealthImaging Working Group on metadata models
Opublikowane w: Eur Radiol Exp 6, 29 (2022), Numer 24, 2022, ISSN 2509-9280
Wydawca: EUROPEAN RADIOLOGY
DOI: 10.1186/s41747-022-00281-1

Computer-Aided Diagnosis Improves the Detection of Clinically Significant Prostate Cancer on Multiparametric-MRI: A Multi-Observer Performance Study Involving Inexperienced Readers

Autorzy: Valentina Giannini; Simone Mazzetti; Giovanni Cappello; Valeria Maria Doronzio; Lorenzo Vassallo; Filippo Russo; Alessandro Giacobbe; Giovanni Muto; Daniele Regge
Opublikowane w: Diagnostics (Basel), Numer 2021 May 28;11(6):973, 2021, Strona(/y) 973, ISSN 2075-4418
Wydawca: pubmed
DOI: 10.3390/diagnostics11060973

Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks

Autorzy: Avtantil Dimitriadis, Grigorios Kalliatakis, Richard Osuala, Dimitri Kessler, Simone Mazzetti, Daniele Regge, Oliver Diaz, Karim Lekadir, Dimitrios Fotiadis, Manolis Tsiknakis, Nikolaos Papanikolaou, null null, Kostas Marias
Opublikowane w: Journal of Imaging, Numer 11, 2025, Strona(/y) 98, ISSN 2313-433X
Wydawca: MDPI AG
DOI: 10.3390/jimaging11040098

Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRI

Autorzy: Giulia Nicoletti, Simone Mazzetti, Giovanni Maimone, Valentina Cignini, Renato Cuocolo, Riccardo Faletti, Marco Gatti, Massimo Imbriaco, Nicola Longo, Andrea Ponsiglione, Filippo Russo, Alessandro Serafini, Arnaldo Stanzione, Daniele Regge, Valentina Giannini
Opublikowane w: Cancers, Numer 16, 2025, Strona(/y) 203, ISSN 2072-6694
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers16010203

A segmentation-based method improving the performance of N4 bias field correction on T2weighted MR imaging data of the prostate

Autorzy: Aikaterini Dovrou and Katerina Nikiforaki and Dimitris Zaridis and Georgios C. Manikis and Eugenia Mylona and Nikolaos Tachos and Manolis Tsiknakis and Dimitrios I. Fotiadis and Kostas Marias
Opublikowane w: Magnetic Resonance Imaging Volume 101, September 2023,, 2023, Strona(/y) Pages 1-12, ISSN 0730-725X
Wydawca: Elsevier BV
DOI: 10.1016/j.mri.2023.03.012

MI-Common Data Model: Extending Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM) for Registering Medical Imaging Metadata and Subsequent Curation Processes

Autorzy: Varvara Kalokyri, Haridimos Kondylakis, Stelios Sfakianakis, Katerina Nikiforaki, Ioannis Karatzanis, Simone Mazzetti, Nikolaos Tachos, Daniele Regge, Dimitrios I. Fotiadis, Konstantinos Marias, Manolis Tsiknakis
Opublikowane w: JCO Clinical Cancer Informatics, 2023, ISSN 2473-4276
Wydawca: American Society of Clinical Oncology (ASCO)
DOI: 10.1200/cci.23.00101

"""Discrimination of Tumor Texture Based on MRI Radiomic Features: Is There a Volume Threshold? A Phantom Study"

Autorzy: João Santinha, Linda Bianchini, Mário Figueiredo, Celso Matos, Alessandro Lascialfari, Nikolaos Papanikolaou, Marta Cremonesi, Barbara A. Jereczek-Fossa, Francesca Botta and Daniela Origgi (
Opublikowane w: MDPI in Applied Sciences Applied Sciences , Volume 12, 2022, ISSN 2076-3417
Wydawca: MDPI
DOI: 10.3390/app12115465

Development and validation of a clinical decision support system based on PSA, microRNAs, and MRI for the detection of prostate cancer

Autorzy: Simone Mazzetti, Arianna Defeudis, Giulia Nicoletti, Giovanna Chiorino, Stefano De Luca, Riccardo Faletti, Marco Gatti, Paolo Gontero, Matteo Manfredi, Maurizia Mello-Grand, Caterina Peraldo-Neia, Andrea Zitella, Francesco Porpiglia, Daniele Regge, Valentina Giannini
Opublikowane w: European Radiology, Numer 34, 2024, Strona(/y) 5108-5117, ISSN 1432-1084
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/s00330-023-10542-1

Prediction of Prostate Cancer Disease Aggressiveness Using Bi-Parametric Mri Radiomics

Autorzy: Ana Rodrigues, João Santinha, Bernardo Galvão, Celso Matos, Francisco M. Couto and Nickolas Papanikolaou
Opublikowane w: Cancers 2021, Numer Volume 13 Numer 23,, 2021, Strona(/y) 6065, ISSN 2072-6694
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13236065

3D-Vision-transformer stacking ensemble for assessing prostate cancer aggressiveness from T2w images

Autorzy: Pachetti E.; Colantonio S.
Opublikowane w: Bioengineering (Basel) 10 (2023). doi:10.3390/bioengineering10091015, Numer Special Numer Clinical Diagnosis and Treatment Inspired by Artificial Intelligence, 2022, ISSN 2306-5354
Wydawca: ternational Conference on Image Analysis and Processing
DOI: 10.3390/bioengineering10091015

Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

Autorzy: Anindo Saha, Joeran S Bosma, Jasper J Twilt, Bram van Ginneken, Anders Bjartell, Anwar R Padhani, David Bonekamp, Geert Villeirs, Georg Salomon, Gianluca Giannarini, Jayashree Kalpathy-Cramer, Jelle Barentsz, Klaus H Maier-Hein, Mirabela Rusu, Olivier Rouvière, Roderick van den Bergh, Valeria Panebianco, Veeru Kasivisvanathan, Nancy A Obuchowski, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Jurg
Opublikowane w: The Lancet Oncology, Numer 25, 2024, Strona(/y) 879-887, ISSN 1470-2045
Wydawca: The Lancet Publishing Group
DOI: 10.1016/s1470-2045(24)00220-1

Exploiting causality signals in medical images: A pilot study with empirical results

Autorzy: Gianluca Carloni, Sara Colantonio
Opublikowane w: Expert Systems with Applications, Numer 249, 2024, Strona(/y) 123433, ISSN 0957-4174
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2024.123433

Standardised lesion segmentation for imaging biomarker quantitation: a consensus recommendation from ESR and EORTC

Autorzy: Nandita M. deSouza, Aad van der Lugt, Christophe M. Deroose, Angel Alberich-Bayarri, Luc Bidaut, Laure Fournier, Lena Costaridou, Daniela E. Oprea-Lager, Elmar Kotter, Marion Smits, Marius E. Mayerhoefer, Ronald Boellaard, Anna Caroli, Lioe-Fee de Geus-Oei, Wolfgang G. Kunz, Edwin H. Oei, Frederic Lecouvet, Manuela Franca, Christian Loewe, Egesta Lopci, Caroline Caramella, Anders Persson, Xavier G
Opublikowane w: Insights into Imaging, Numer 13, 2023, ISSN 1869-4101
Wydawca: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-022-01287-4

End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction.

Autorzy: Anindo Saha; Matin Hosseinzadeh; Henkjan J. Huisman
Opublikowane w: Medical Image Analysis, Numer Volume 73, October 2021, 102155, 2021, ISSN 1361-8415
Wydawca: Elsevier BV
DOI: 10.1016/j.media.2021.102155

Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness

Autorzy: Ana Rodrigues; Nuno Rodrigues; João Santinha; Maria V. Lisitskaya; Aycan Uysal; Celso Matos; Inês Domingues; Nickolas Papanikolaou
Opublikowane w: Crossref, Numer 9, 2023, ISSN 2045-2322
Wydawca: Nature Publishing Group
DOI: 10.1038/s41598-023-33339-0

Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative Review.

Autorzy: Jasper J. Twilt; Kicky G. van Leeuwen; Henkjan J. Huisman; Jurgen J. Fütterer; Maarten de Rooij
Opublikowane w: Diagnostics 2021, 11(6), 959, Numer 2021 May 26, 2021, ISSN 2075-4418
Wydawca: MDPI
DOI: 10.3390/diagnostics11060959

ResQu-Net: Effective prostate’s peripheral zone segmentation leveraging the representational power of attention-based mechanisms

Autorzy: Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos Tachos, Charalampos Ν. Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, George K. Matsopoulos, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis
Opublikowane w: Biomedical Signal Processing and Control, Numer 93, 2024, Strona(/y) 106187, ISSN 1746-8094
Wydawca: Elsevier BV
DOI: 10.1016/j.bspc.2024.106187

A Comparative Study of Automated Deep Learning Segmentation Models for Prostate MRI

Autorzy: Nuno M. Rodrigues; Sara Silva; Leonardo Vanneschi; Nickolas Papanikolaou
Opublikowane w: Crossref, Numer Cancers 2023, 15(5), 1467;, 2023, ISSN 2072-6694
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15051467

A Fully Automatic Artificial Intelligence System Able to Detect and Characterize Prostate Cancer Using Multiparametric MRI: Multicenter and Multi-Scanner Validation

Autorzy: Valentina Giannini, Simone Mazzetti, Arianna Defeudis, Giuseppe Stranieri, Marco Calandri, Enrico Bollito, Martino Bosco, Francesco Porpiglia, Matteo Manfredi, Agostino De Pascale, Andrea Veltri, Filippo Russo and Daniele Regge
Opublikowane w: Front. Oncol., 01 October 2021, 2021, ISSN 2234-943X
Wydawca: Frontiers Media S. A.
DOI: 10.3389/fonc.2021.718155

Simplatab: An Automated Machine Learning Framework for Radiomics-Based Bi-Parametric MRI Detection of Clinically Significant Prostate Cancer

Autorzy: Dimitrios I. Zaridis, Vasileios C. Pezoulas, Eugenia Mylona, Charalampos N. Kalantzopoulos, Nikolaos S. Tachos, Nikos Tsiknakis, George K. Matsopoulos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, Dimitrios I. Fotiadis
Opublikowane w: Bioengineering, Numer 12, 2025, Strona(/y) 242, ISSN 2306-5354
Wydawca: MDPI AG
DOI: 10.3390/bioengineering12030242

Documenting the de-identification process of clinical and imaging data for AI for health imaging projects

Autorzy: Haridimos Kondylakis, Rocio Catalan, Sara Martinez Alabart, Caroline Barelle, Paschalis Bizopoulos, Maciej Bobowicz, Jonathan Bona, Dimitrios I. Fotiadis, Teresa Garcia, Ignacio Gomez, Ana Jimenez-Pastor, Giannis Karatzanis, Karim Lekadir, Magdalena Kogut-Czarkowska, Antonios Lalas, Kostas Marias, Luis Marti-Bonmati, Jose Munuera, Katerina Nikiforaki, Manon Pelissier, Fred Prior, Michael Rutherfor
Opublikowane w: Insights into Imaging, Numer 15, 2024, ISSN 1869-4101
Wydawca: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-024-01711-x

Region-adaptive magnetic resonance image enhancement for improving CNN-based segmentation of the prostate and prostatic zones

Autorzy: Dimitrios I. Zaridis; Eugenia Mylona; Nikolaos Tachos; Vasileios C. Pezoulas; Grigorios Grigoriadis; Nikos Tsiknakis; Kostas Marias; Manolis Tsiknakis; Dimitrios I. Fotiadis
Opublikowane w: Scientific Reports, 13, 714 (2023), Numer 19, 2023, ISSN 0730-725X
Wydawca: Elsevier BV
DOI: 10.1038/s41598-023-27671-8

Evaluating Biparametric Versus Multiparametric Magnetic Resonance Imaging for Diagnosing Clinically Significant Prostate Cancer: An International, Paired, Noninferiority, Confirmatory Observer Study

Autorzy: Jasper J. Twilt, Anindo Saha, Joeran S. Bosma, Bram van Ginneken, Anders Bjartell, Anwar R. Padhani, David Bonekamp, Geert Villeirs, Georg Salomon, Gianluca Giannarini, Jayashree Kalpathy-Cramer, Jelle Barentsz, Klaus H. Maier-Hein, Mirabela Rusu, Olivier Rouvière, Roderick van den Bergh, Valeria Panebianco, Veeru Kasivisvanathan, Nancy A. Obuchowski, Derya Yakar, Mattijs Elschot, Jeroen Veltman,
Opublikowane w: European Urology, Numer 87, 2025, Strona(/y) 240-250, ISSN 0302-2838
Wydawca: Elsevier BV
DOI: 10.1016/j.eururo.2024.09.035

Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI

Autorzy: Elena Bertelli, Laura Mercatelli, Chiara Marzi, Eva Pachetti, Michela Baccini, Andrea Barucci, Sara Colantonio, Luca Gherardini, Lorenzo Lattavo, Maria Antonietta Pascali, Simone Agostini, Vittorio Miele
Opublikowane w: Frontiers in Oncology, Numer 11, 2022, ISSN 2234-943X
Wydawca: Frontiers Media S. A.
DOI: 10.3389/fonc.2021.802964

Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!

Autorzy: Ioanna Chouvarda, Sara Colantonio, Ana S. C. Verde, Ana Jimenez-Pastor, Leonor Cerdá-Alberich, Yannick Metz, Lithin Zacharias, Shereen Nabhani-Gebara, Maciej Bobowicz, Gianna Tsakou, Karim Lekadir, Manolis Tsiknakis, Luis Martí-Bonmati, Nikolaos Papanikolaou
Opublikowane w: European Radiology Experimental, Numer 9, 2025, ISSN 2509-9280
Wydawca: Springer Science and Business Media LLC
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DOI: 10.1007/978-3-031-73376-5_5

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DOI: 10.1007/978-981-99-6540-3_7

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