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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

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

Autori: 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
Pubblicato in: Insights into Imaging, Numero 15, 2024, ISSN 1869-4101
Editore: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13244-024-01783-9

The Role of Causality in Explainable Artificial Intelligence

Autori: Gianluca Carloni, Andrea Berti, Sara Colantonio
Pubblicato in: WIREs Data Mining and Knowledge Discovery, Numero 15, 2025, ISSN 1942-4787
Editore: John Wiley and Sons Inc.
DOI: 10.1002/widm.70015

A systematic review of few-shot learning in medical imaging

Autori: Eva Pachetti, Sara Colantonio
Pubblicato in: Artificial Intelligence in Medicine, Numero 156, 2024, Pagina/e 102949, ISSN 0933-3657
Editore: 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

Autori: Joeran S. Bosma, Anindo Saha, Matin Hosseinzadeh, Ivan Slootweg, Maarten de Rooij, and Henkjan Huisman
Pubblicato in: Radiology: Artificial Intelligence 2023 5:5, Numero Vol. 5, No. 5, 2023, ISSN 2638-6100
Editore: 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

Autori: 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
Pubblicato in: Radiology: Artificial Intelligence, Numero 7, 2025, ISSN 2638-6100
Editore: 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

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

Automatic magnetic resonance imaging series labelling for large repositories

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

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

Autori: Mohammed R. S. Sunoqrot, Anindo Saha, Matin Hosseinzadeh, Mattijs Elschot, Henkjan Huisman
Pubblicato in: European Radiology Experimental, Numero 6, 2022, ISSN 2509-9280
Editore: 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

Autori: 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
Pubblicato in: Front. Radiol., 17 April 2023., 2023, ISSN 2673-8740
Editore: 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

Autori: Valentina Colcelli
Pubblicato in: Cadernos Ibero-Americanos de Direito Sanitário, Numero 13, 2024, Pagina/e 124-140, ISSN 2358-1824
Editore: Cadernos Ibero-Americanos de Direito Sanitario
DOI: 10.17566/ciads.v13i4.1288

A deep look into radiomics

Autori: Camilla Scapicchio · Michela Gabelloni· Andrea Barucci · Dania Cioni · Luca Saba · Emanuele Neri
Pubblicato in: La radiologia medica volume 126, (2021), 2021, Pagina/e 1296–1311, ISSN 1826-6983
Editore: SPRINGER
DOI: 10.1007/s11547-021-01389-x

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

Autori: 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
Pubblicato in: BMJ, 2025, Pagina/e e081554, ISSN 1756-1833
Editore: BMJ
DOI: 10.1136/bmj-2024-081554

a report on the experiences of five EU projects

Autori: 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
Pubblicato in: European radiology experimental, 7(1):20. Springer Open, Numero 24, 2023, ISSN 2509-9280
Editore: Springer
DOI: 10.1186/s41747-023-00336-x

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

Autori: 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
Pubblicato in: Insights into Imaging volume 13, Article number: 89 (2022), 2022, ISSN 1869-4101
Editore: 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

Autori: 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
Pubblicato in: Insights into Imaging, Numero 16, 2025, ISSN 1869-4101
Editore: 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

Autori: Zaridis Dimitris; Mylona Eugenia; Tachos Nikolaos; Marias Kostas; Tsiknakis Manolis; Fotiadis Dimitrios
Pubblicato in: EAI Endorsed Transactions on Bioengineering and Bioinformatics, Numero 2, 2022, ISSN 2709-4111
Editore: EUDL
DOI: 10.4108/eai.24-2-2022.173546

a report on the experiences of five EU projects

Autori: 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
Pubblicato in: European radiology experimental, Numero 42, 2023, ISSN 2509-9280
Editore: springer open

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

Autori: 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
Pubblicato in: Computers in Biology and Medicine, Numero 171, 2024, Pagina/e 108216, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2024.108216

Virtual biopsy in abdominal pathology: where do we stand?

Autori: Arianna Defeudis, Jovana Panic, Giulia Nicoletti, Simone Mazzetti, Valentina Giannini and Daniele Regge
Pubblicato in: Volume 5, Numero 1November 2023, 2023, ISSN 2513-9878
Editore: 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

Autori: Ömer Önder, Müjdat Ayva, Yasin Yaraşır, Volkan Gürler, Mustafa Sertaç Yazıcı, Bülent Akdoğan, Ali Devrim Karaosmanoğlu, Muşturay Karçaaltıncaba, Mustafa Nasuh Özmen, Deniz Akata
Pubblicato in: Diagnostic and Interventional Radiology, Numero 30, 2025, Pagina/e 139-151, ISSN 1305-3825
Editore: Turkish Society of Radiology
DOI: 10.4274/dir.2023.232414

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

Autori: 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
Pubblicato in: Scientific Reports, Numero 15, 2025, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-025-99795-y

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

Autori: Avtantil Dimitriadis, Eleftherios Trivizakis, Nikolaos Papanikolaou, Manolis Tsiknakis & Kostas Marias
Pubblicato in: Insights into Imaging 13(188), 2022, ISSN 1869-4101
Editore: 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

Autori: 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
Pubblicato in: Eur Radiol Exp 6, 29 (2022), Numero 24, 2022, ISSN 2509-9280
Editore: 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

Autori: Valentina Giannini; Simone Mazzetti; Giovanni Cappello; Valeria Maria Doronzio; Lorenzo Vassallo; Filippo Russo; Alessandro Giacobbe; Giovanni Muto; Daniele Regge
Pubblicato in: Diagnostics (Basel), Numero 2021 May 28;11(6):973, 2021, Pagina/e 973, ISSN 2075-4418
Editore: pubmed
DOI: 10.3390/diagnostics11060973

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

Autori: 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
Pubblicato in: Journal of Imaging, Numero 11, 2025, Pagina/e 98, ISSN 2313-433X
Editore: 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

Autori: 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
Pubblicato in: Cancers, Numero 16, 2025, Pagina/e 203, ISSN 2072-6694
Editore: 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

Autori: 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
Pubblicato in: Magnetic Resonance Imaging Volume 101, September 2023,, 2023, Pagina/e Pages 1-12, ISSN 0730-725X
Editore: 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

Autori: Varvara Kalokyri, Haridimos Kondylakis, Stelios Sfakianakis, Katerina Nikiforaki, Ioannis Karatzanis, Simone Mazzetti, Nikolaos Tachos, Daniele Regge, Dimitrios I. Fotiadis, Konstantinos Marias, Manolis Tsiknakis
Pubblicato in: JCO Clinical Cancer Informatics, 2023, ISSN 2473-4276
Editore: 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"

Autori: João Santinha, Linda Bianchini, Mário Figueiredo, Celso Matos, Alessandro Lascialfari, Nikolaos Papanikolaou, Marta Cremonesi, Barbara A. Jereczek-Fossa, Francesca Botta and Daniela Origgi (
Pubblicato in: MDPI in Applied Sciences Applied Sciences , Volume 12, 2022, ISSN 2076-3417
Editore: 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

Autori: 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
Pubblicato in: European Radiology, Numero 34, 2024, Pagina/e 5108-5117, ISSN 1432-1084
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s00330-023-10542-1

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

Autori: Ana Rodrigues, João Santinha, Bernardo Galvão, Celso Matos, Francisco M. Couto and Nickolas Papanikolaou
Pubblicato in: Cancers 2021, Numero Volume 13 Numero 23,, 2021, Pagina/e 6065, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13236065

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

Autori: Pachetti E.; Colantonio S.
Pubblicato in: Bioengineering (Basel) 10 (2023). doi:10.3390/bioengineering10091015, Numero Special Numero Clinical Diagnosis and Treatment Inspired by Artificial Intelligence, 2022, ISSN 2306-5354
Editore: 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

Autori: 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
Pubblicato in: The Lancet Oncology, Numero 25, 2024, Pagina/e 879-887, ISSN 1470-2045
Editore: The Lancet Publishing Group
DOI: 10.1016/s1470-2045(24)00220-1

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

Autori: Gianluca Carloni, Sara Colantonio
Pubblicato in: Expert Systems with Applications, Numero 249, 2024, Pagina/e 123433, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2024.123433

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

Autori: 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
Pubblicato in: Insights into Imaging, Numero 13, 2023, ISSN 1869-4101
Editore: 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.

Autori: Anindo Saha; Matin Hosseinzadeh; Henkjan J. Huisman
Pubblicato in: Medical Image Analysis, Numero Volume 73, October 2021, 102155, 2021, ISSN 1361-8415
Editore: 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

Autori: Ana Rodrigues; Nuno Rodrigues; João Santinha; Maria V. Lisitskaya; Aycan Uysal; Celso Matos; Inês Domingues; Nickolas Papanikolaou
Pubblicato in: Crossref, Numero 9, 2023, ISSN 2045-2322
Editore: 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.

Autori: Jasper J. Twilt; Kicky G. van Leeuwen; Henkjan J. Huisman; Jurgen J. Fütterer; Maarten de Rooij
Pubblicato in: Diagnostics 2021, 11(6), 959, Numero 2021 May 26, 2021, ISSN 2075-4418
Editore: MDPI
DOI: 10.3390/diagnostics11060959

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

Autori: Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos Tachos, Charalampos Ν. Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, George K. Matsopoulos, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis
Pubblicato in: Biomedical Signal Processing and Control, Numero 93, 2024, Pagina/e 106187, ISSN 1746-8094
Editore: Elsevier BV
DOI: 10.1016/j.bspc.2024.106187

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

Autori: Nuno M. Rodrigues; Sara Silva; Leonardo Vanneschi; Nickolas Papanikolaou
Pubblicato in: Crossref, Numero Cancers 2023, 15(5), 1467;, 2023, ISSN 2072-6694
Editore: 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

Autori: 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
Pubblicato in: Front. Oncol., 01 October 2021, 2021, ISSN 2234-943X
Editore: 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

Autori: 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
Pubblicato in: Bioengineering, Numero 12, 2025, Pagina/e 242, ISSN 2306-5354
Editore: MDPI AG
DOI: 10.3390/bioengineering12030242

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

Autori: 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
Pubblicato in: Insights into Imaging, Numero 15, 2024, ISSN 1869-4101
Editore: 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

Autori: Dimitrios I. Zaridis; Eugenia Mylona; Nikolaos Tachos; Vasileios C. Pezoulas; Grigorios Grigoriadis; Nikos Tsiknakis; Kostas Marias; Manolis Tsiknakis; Dimitrios I. Fotiadis
Pubblicato in: Scientific Reports, 13, 714 (2023), Numero 19, 2023, ISSN 0730-725X
Editore: 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

Autori: 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,
Pubblicato in: European Urology, Numero 87, 2025, Pagina/e 240-250, ISSN 0302-2838
Editore: Elsevier BV
DOI: 10.1016/j.eururo.2024.09.035

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

Autori: 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
Pubblicato in: Frontiers in Oncology, Numero 11, 2022, ISSN 2234-943X
Editore: 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!

Autori: 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
Pubblicato in: European Radiology Experimental, Numero 9, 2025, ISSN 2509-9280
Editore: Springer Science and Business Media LLC
DOI: 10.1186/s41747-024-00543-0

PROper-Net: A Deep-Learning Approach for Prostate’s Peripheral Zone Segmentation based on MR imaging

Autori: E. Mylona, D. Zaridis, N. Tachos, K. Marias, M. Tsiknakis and D. I. Fotiadis
Pubblicato in: IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 2022, Pagina/e pp. 1124-1128
Editore: IEEE
DOI: 10.1109/melecon53508.2022.9843082

Hallucinating for diagnosing: one-shot medical image classification leveraging score-based generative models

Autori: Pachetti E.; Colantonio S.
Pubblicato in: Numero 1, 2024
Editore: Medical Imaging with Deep Learning

Exploring the potential and challenges of AI in clinical diagnostics and remote assistance of individuals

Autori: Andrea Berti, Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Giulio Del Corso, Danila Germanese, Eva Pachetti, Maria Antonietta Pascali and Sara Colantonio
Pubblicato in: Convegno Nazionale CINI sull'Intelligenza Artificiale (ITAL-IA) , Pisa, Italy, 29-31 May (Session Workshop on AI for health and wellbeing), Numero 16/09/2023, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8005500

Exploring the potentials and challenges of AI in supporting clinical diagnostics and remote assistance for the health and well-being of individuals

Autori: Berti A; Buongiorno R; Carloni G; Caudai C; Del Corso G; Germanese D; Pachetti E; Pascali MA; Colantonio S
Pubblicato in: info:cnr-pdr/source/autori:Berti A.; Buongiorno R.; Carloni G.; Caudai C.; Del Corso G.; Germanese D.; Pachetti E.; Pascali M.A.; Colantonio S./congresso_nome:Ital-IA 2023 - Italia Intelligenza Artificiale. Thematic Workshops of the 3rd CINI National Lab AIIS Conference on Artificial Intelligence - 2023/congresso_luogo:Pisa, Italy/congresso_data:29-30%2F05%2F2023/anno:2023/pagina_da:/pagina_a:/int, Numero 40, 2023
Editore: "Istituto di Scienza e Tecnologie dell'Informazione ""Alessandro Faedo"" - ISTI"

From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment

Autori: Berti A.; Buongiorno R.; Carloni G.; Caudai C.; Conti F.; Del Corso G.; Germanese D.; Moroni D.; Pachetti E.; Pascali M. A.; Colantonio S.
Pubblicato in: Numero 1, 2023, ISSN 1613-0073
Editore: CEUR Workshop Proceedings

Exploring the potentials and challenges of Artificial Intelligence in supporting clinical diagnostics and remote assistance for the health and well-being of individuals

Autori: Andrea Berti, , Rossana Buongiorno, Gianluca Carloni, Claudia Caudai, Giulio Del Corso, Danila Germanese, Eva Pachetti, Maria Antonietta Pascali and Sara Colantonio
Pubblicato in: CEUR Workshop Proceedings, Numero 3, 2023
Editore: 3rd National Conference on Artificial Intelligence, organized by CINI

Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis

Autori: Alessa Hering, Sarah de Boer, Anindo Saha, Jasper J. Twilt, Mattias P. Heinrich, Derya Yakar, Maarten de Rooij, Henkjan Huisman, Joeran S. Bosma
Pubblicato in: Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15249)), 2024, Pagina/e pp 148–162
Editore: Springer Nature
DOI: 10.48550/arxiv.2404.09666

Fine-tuned feature selection to improve prostate segmentation via a fully connected meta-learner architecture

Autori: D. Zaridis, E. Mylona, N. Tachos, K. Marias, M. Tsiknakis and D. I. Fotiadis
Pubblicato in: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2022, Pagina/e pp. 01-04, ISSN 2641-3604
Editore: IEEE-EMBS
DOI: 10.1109/bhi56158.2022.9926929

Comparison of Machine and Deep Learning models for automatic segmentation of prostate cancers on multiparametric MRI

Autori: Giovanni Maimone; Giulia Nicoletti; Simone Mazzetti; Daniele Regge; Valentina Giannini
Pubblicato in: Crossref, Numero 10, 2022, ISBN 978-1-6654-8299-8
Editore: IEEE
DOI: 10.1109/memea54994.2022.9856530

AI Passport – Traceability for Trustworthy AI

Autori: Haridimos Kondylakis, Stelios Sfakianakis, Varvara Kalokyri, Alexandros Kanterakis, Lefteris Koumakis, Eugenia Mylona, , Nikolaos Tachos, Dimitrios Fotiadis, Kostas Marias, Manolis Tsiknakis
Pubblicato in: Numero 34, 2022
Editore: IEEE Engineering in Medicine & Biology Society (EMBS)

Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil

Autori: Davide Barra, Giulia Nicoletti, Arianna Defeudis, Simone Mazzetti, Jovana Panic, Marco Gatti, Riccardo Faletti, Filippo Russo, Daniele Regge, Valentina Giannini
Pubblicato in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, Pagina/e 3370-3373
Editore: IEEE
DOI: 10.1109/embc46164.2021.9630792

Data Ingestion for AI in Prostate Cancer

Autori: Haridimos Kondylakis , Stelios Sfakianakis , Varvara Kalokyri , Nikolaos Tachos , Dimitrios Fotiadis , Kostas Marias , Manolis Tsiknakis
Pubblicato in: Stud Health Technol Inform . 2022 May 25;294:244-248., Numero Stud Health Technol Inform . 2022 May 25;294:244-248., 2022, ISSN 1879-8365
Editore: PUBMED
DOI: 10.3233/shti220446

Bridging gaps between images and data: a systematic update on imaging biobanks

Autori: Michela Gabelloni, Lorenzo Faggioni, Rita Borgheresi, Giuliana Restante, Jorge Shortrede, Lorenzo Tumminello, Camilla Scapicchio, Francesca Coppola, Dania Cioni, Ignacio Gómez-Rico, Luis Martí-Bonmatí & Emanuele Neri
Pubblicato in: Imaging Informatics and Artificial Intelligence, Numero Published: 10 January 2022, 2022
Editore: SpringerLink
DOI: 10.1007/s00330-021-08431-6

Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI

Autori: A. Saha, M. Hosseinzadeh, H. Huisman
Pubblicato in: 34th Conference on Neural Information Processing Systems (NeurIPS), 2020
Editore: Medical Imaging Meets NeurIPS Workshop – 34th Conference on Neural Information Processing Systems (NeurIPS)

On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness

Autori: Eva Pachetti, Sara Colantonio & Maria Antonietta Pascali
Pubblicato in: """Image Analysis and Processing. ICIAP 2022 Workshops, Lecture Notes in Computer Science", Numero vol 13374. Springer, 2022, ISBN 978-3-031-13324-4
Editore: SPRINGER
DOI: 10.1007/978-3-031-13324-4_27

A Deep Learning-based cropping technique to improve segmentation of prostate's peripheral zone

Autori: Zaridis Dimitris; Mylona Eugenia; Tachos Nikolaos; Marias Kostas; Tsiknakis Manolis; Fotiadis Dimitrios
Pubblicato in: Numero 5, 2021
Editore: 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)
DOI: 10.1109/BIBE52308.2021.9635576

Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation

Autori: Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios D. Koutsouris, George K. Matsopoulos, Dimitrios I. Fotiadis
Pubblicato in: 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE), 2024, Pagina/e 422-426
Editore: IEEE
DOI: 10.1109/bibe60311.2023.00075

Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI —Should Different Clinical Objectives Mandate Different Loss Functions?

Autori: Anindo Saha, Joeran Bosma, Jasper Linmans, Matin Hosseinzadeh, Henkjan Huisman
Pubblicato in: 35th Conference on Neural Information Processing Systems (NeurIPS), 2021
Editore: Medical Imaging Meets NeurIPS Workshop - 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
DOI: 10.48550/arxiv.2110.12889

ARP Case Report nº 22: Apical Anterior Prostate LesionCase Report Description - Use of an MRI guided in-bore biopsy system for higher rates of cancer detection with real-time feedback with needle placement in the MRI system.

Autori: Henrique Rodrigues, João Abrantes, João C. Costa
Pubblicato in: Vol. 33 No. 2 (2021): Acta Radiológica Portuguesa / ARP Cases Solution, Numero 6, 2021
Editore: ACTA RADIOLÓGICA PORTUGUESA

The Design of Trustworthy AI System: a Deep Look into the Transparency of Data, Models, and Decisions

Autori: Sara Colantonio
Pubblicato in: IEEE EMBC, Numero 17, 2022
Editore: Mini-Symposium on Trustworthy AI in Cancer Imaging Research, within IEEE EMBC
DOI: 10.5281/zenodo.7181554

Caso Clínico ARP nº 22: Qual o seu diagnóstico?

Autori: Condesso, Daniela; Rodrigues, Henrique; Abrantes, João; Costa, João C.
Pubblicato in: Numero 3, 2021
Editore: ACTA RADIOLÓGICA PORTUGUESA
DOI: 10.25748/arp.24450

Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge (Study Protocol)

Autori: Saha, Anindo; Twilt, Jasper Jonathan; Bosma, Joeran Sander; van Ginneken, Bram; Yakar, Derya; Elschot, Mattijs; Veltman, Jeroen; Fütterer, Jurgen; de Rooij, Maarten; Huisman, Henkjan
Pubblicato in: Numero 1, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.6522364

"""Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification"""

Autori: Eva Pachetti, Sotirios A. Tsaftaris, Sara Colantonio
Pubblicato in: Computer Science > Computer Vision and Pattern Recognition, 2024
Editore: arXiv:2403.17530
DOI: 10.48550/arxiv.2403.17530

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

Autori: Lekadir, Karim; Osuala, Richard; Gallin, Catherine; Lazrak, Noussair; Kushibar, Kaisar; Tsakou, Gianna; Aussó, Susanna; Alberich, Leonor Cerdá; Marias, Kostas; Tsiknakis, Manolis; Colantonio, Sara; Papanikolaou, Nickolas; Salahuddin, Zohaib; Woodruff, Henry C; Lambin, Philippe; Martí-Bonmatí, Luis
Pubblicato in: Numero 3, 2021
Editore: arxiv.org
DOI: 10.48550/arxiv.2109.09658

Artificial Intelligence for precision medicine

Autori: Sara Colantonio
Pubblicato in: Numero 4, 2022
Editore: ZENODO
DOI: 10.5281/zenodo.7181429

SI-Lab Annual Research Report 2020

Autori: Leone, Giuseppe,; Righi, Marco; Carboni, Andrea; Caudai, Claudia; Colantonio, Sara; Kuruoglu, Ercan,; Leporini, Barbara; Magrini, Massimo; Paradisi, Paolo; Pascali, Maria,; Pieri, Gabriele; Reggiannini, Marco; Salerno, Emanuele; Scozzari, Andrea; Tonazzini, Anna; Fusco, Giuseppe; Galesi, Giulio; Martinelli, Massimo; Pardini, Francesca; Tampucci, Marco; Buongiorno, Rossana; Bruno, Antonio; Germanes
Pubblicato in: [Research Report] 456000, National Research Council of Italy. 2021, Numero 38, 2020
Editore: SI-Lab Annual Research Report 2020

ARP Case Report nº 22: Apical anterior prostate lesion

Autori: Condesso, Daniela; Rodrigues, Henrique; Abrantes, João; Costa, João C.
Pubblicato in: Numero 5, 2021, ISSN 2976-0763
Editore: ACTA RADIOLÓGICA PORTUGUESA
DOI: 10.25748/arp.25402

Radiomics and Deep Radiomics for precision medicine

Autori: Colantonio, Sara
Pubblicato in: Numero 37, 2021
Editore: "ARTES ISAAC ""Life Science & Healthcare Tech"""
DOI: 10.5281/zenodo.6323648

Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues

Autori: Albertoni, Riccardo; Colantonio, Sara; Skrzypczyński, Piotr; Stefanowski, Jerzy
Pubblicato in: Computer Science > Artificial Intelligence, Numero 23, 2023
Editore: eprint arXiv
DOI: 10.48550/arxiv.2302.12691

Connectivity-Inspired Network for Context-Aware Recognition

Autori: Carloni G.; Colantonio S.
Pubblicato in: Numero 9, 2024
Editore: arXiv
DOI: 10.48550/arxiv.2409.04360

A new smart-cropping pipeline for prostate segmentation using deep learning networks

Autori: Zaridis Dimitris; Mylona Eugenia; Tachos Nikolaos; Marias Kostas; Papanikolaou Nikolaos; Tsiknakis Manolis; Fotiadis Dimitrios
Pubblicato in: Numero 4, 2021
Editore: arxiv.org
DOI: 10.48550/arXiv.2107.02476

Seeing More with Less: Meta-learning and Diffusion Models for Tumor Characterization in Low-Data Settings

Autori: Eva Pachetti, Sara Colantonio
Pubblicato in: Lecture Notes in Computer Science, Cancer Prevention, Detection, and Intervention, 2024, Pagina/e 48-58
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73376-5_5

Consent and Retrospective Data Collection

Autori: Tima Otu Anwana, Katarzyna Barud, Michael Cepic, Emily Johnson, Max Königseder, Marie-Catherine Wagner
Pubblicato in: Perspectives in Law, Business and Innovation, The Law and Ethics of Data Sharing in Health Sciences, 2024, Pagina/e 99-125, ISSN 2520-1883
Editore: Springer Nature Singapore
DOI: 10.1007/978-981-99-6540-3_7

On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet

Autori: Gianluca Carloni, Andrea Berti, Chiara Iacconi, Maria Antonietta Pascali, Sara Colantonio
Pubblicato in: Lecture Notes in Computer Science, Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, Numero Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13643)), 2023, Pagina/e 539-557
Editore: nternational Conference on Pattern Recognition (ICPR) - Artificial Intelligence for Healthcare Applications 2nd International Workshop (ICPR), Canada, A
DOI: 10.1007/978-3-031-37660-3_38

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