2022

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 (2022), “Bridging gaps between images and data: a systematic update on imaging biobanks” – European Radiology https://doi.org/10.1007/s00330-021-08431-6 . Οnline 10/01/2022

2021

Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak, Kaisar Kushibar, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Kostas Marias, Manolis Tsiknakis, Sara Colantonio, Nickolas Papanikolaou, Zohaib Salahuddin, Henry C Woodruff, Philippe Lambin, Luis Martí-Bonmatí (2021). FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. arXiv preprint arXiv:2109.09658.

Ana Rodrigues, João Santinha, Bernardo Galvão ,Celso Matos. Francisco M. Couto and Nickolas Papanikolaou (2021), “Prediction of Prostate Cancer Disease Aggressiveness Using Bi-Parametric Mri Radiomics” – Special Issue Radiomics/Radiogenomics in Cancer mdpi.com. Online 01/12/2021, https://doi.org/10.3390/cancers13236065

Eugenia Mylona, Dimitris Zaridis, Nikolaos Tachos, Dimitrios Fotiadis, Kostas Marias and Manolis Tsiknakis (2021), “A Deep Learning-based Cropping Technique to Improve Segmentation of Prostate’s Peripheral Zone” – 21st IEEE International Conference on BioInformatics and BioEngineering October 25-27, 2021, Kragujevac, Serbia *BEST STUDENT AWARD*

Daniela Condesso, Henrique Rodrigues, João Abrantes, João C. Costa (2021), RP Case Report nº 22: What is your diagnosis?Case Report Quiz – 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.“, Vol. 33 No. 1 (2021): Acta Radiológica Portuguesa, https://doi.org/10.25748/arp.24450

Daniela Condesso, Henrique Rodrigues, João Abrantes, João C. Costa (2021), ARP Case Report nº 22: Apical Anterior Prostate Lesion “Case 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“, Vol. 33 No. 2 (2021): Acta Radiológica Portuguesa, https://doi.org/10.25748/arp.25402

Anindo Saha, Joeran Bosma, Jasper Linmans, Matin Hosseinzadeh, Henkjan Huisman (2021), “Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI —Should Different Clinical Objectives Mandate Different Loss Functions?“, Medical Imaging Meets NeurIPS Workshop at 35th Conference on Neural Information Processing Systems (NeurIPS).

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 (2021), “A Fully Automatic Artificial Intelligence System Able to Detect and Characterize Prostate Cancer Using Multiparametric MRI: Multicenter and Multi-Scanner Validation“, Frontiers in Oncology, Online 01/10/2021. https://doi.org/10.3389/fonc.2021.718155

Scapicchio, C., Gabelloni, M., Barucci, A. et al (2021),A deep look into radiomics“. La radiologia medica – Official Journal of the Italian Society of Medical and Interventional Radiology, Online 02/07/2021. https://doi.org/10.1007/s11547-021-01389-x

A. Saha, M. Hosseinzadeh, H. Huisman (2021), “End-to-End Prostate Cancer Detection in bpMRI via 3D CNNs: Effect of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction“, MedIA: Medical Image Analysis, Online 29/06/2021. https://doi.org/10.1016/j.media.2021.102155

Giannini, V., Mazzetti, S., Cappello, G., Doronzio, V. M., Vassallo, L., Russo, F., Giacobbe, A., Muto, G., & Regge, D. (2021). Computer-Aided Diagnosis Improves the Detection of Clinically Significant Prostate Cancer on Multiparametric-MRI: A Multi-Observer Performance Study Involving Inexperienced Readers. Diagnostics (Basel, Switzerland), 11(6), 973. https://doi.org/10.3390/diagnostics11060973

A. Saha, M. Hosseinzadeh, H. Huisman (2020), “Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI“, Medical Imaging Meets NeurIPS Workshop – 34th Conference on Neural Information Processing Systems (NeurIPS), Vancouever, Canada.

Jasper J.Twilt, Kicky G. van Leeuwen, Henkjan J. Huisman, Jurgen J. Fütterer and Maarten de Rooij (2021), “Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative Review“, Diagnostics 2021. Online  26 /05/2021. https://doi.org/10.3390/diagnostics11060959

Highlights

Artificial Intelligence: a new age of radiology?

Artificial Intelligence: a new age of radiology?

On Monday the 25th of October 2021, our researchers participated in the virtual meeting on "Artificial Intelligence: a new age of radiology?" organized by University of Torino with prof. Daniele Regge as Chairman. Aim of the Residents’ radiology online meeting- II...

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