Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Arianna Defeudis"'
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 4, Pp 67-76 (2023)
Goal: Artificial intelligence applied to medical image analysis has been extensively used to develop non-invasive diagnostic and prognostic signatures. However, these imaging biomarkers should be largely validated on multi-center datasets to prove th
Externí odkaz:
https://doaj.org/article/778c63798d8c4cd9b03c295a372a38f9
Autor:
Arianna Defeudis, Simone Mazzetti, Jovana Panic, Monica Micilotta, Lorenzo Vassallo, Giuliana Giannetto, Marco Gatti, Riccardo Faletti, Stefano Cirillo, Daniele Regge, Valentina Giannini
Publikováno v:
European Radiology Experimental, Vol 6, Iss 1, Pp 1-14 (2022)
Abstract Background Pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer (LARC) is achieved in 15–30% of cases. Our aim was to implement and externally validate a magnetic resonance imaging (MRI)-base
Externí odkaz:
https://doaj.org/article/c306847ae9434e3da5e59ba4b1d935cb
Autor:
Francesco Rizzetto, Francesca Calderoni, Cristina De Mattia, Arianna Defeudis, Valentina Giannini, Simone Mazzetti, Lorenzo Vassallo, Silvia Ghezzi, Andrea Sartore-Bianchi, Silvia Marsoni, Salvatore Siena, Daniele Regge, Alberto Torresin, Angelo Vanzulli
Publikováno v:
European Radiology Experimental, Vol 4, Iss 1, Pp 1-12 (2020)
Abstract Background Radiomics is expected to improve the management of metastatic colorectal cancer (CRC). We aimed at evaluating the impact of liver lesion contouring as a source of variability on radiomic features (RFs). Methods After Ethics Commit
Externí odkaz:
https://doaj.org/article/cc039c70fe104733b2ded97b4283b6c7
Autor:
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, Daniele Regge
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
In the last years, the widespread use of the prostate-specific antigen (PSA) blood examination to triage patients who will enter the diagnostic/therapeutic path for prostate cancer (PCa) has almost halved PCa-specific mortality. As a counterpart, mil
Externí odkaz:
https://doaj.org/article/3388de617c4442c2bc5f5ce1df144b89
Autor:
Francesca Coppola, Valentina Giannini, Michela Gabelloni, Jovana Panic, Arianna Defeudis, Silvia Lo Monaco, Arrigo Cattabriga, Maria Adriana Cocozza, Luigi Vincenzo Pastore, Michela Polici, Damiano Caruso, Andrea Laghi, Daniele Regge, Emanuele Neri, Rita Golfieri, Lorenzo Faggioni
Publikováno v:
Diagnostics, Vol 11, Iss 5, p 756 (2021)
While cross-sectional imaging has seen continuous progress and plays an undiscussed pivotal role in the diagnostic management and treatment planning of patients with rectal cancer, a largely unmet need remains for improved staging accuracy, assessmen
Externí odkaz:
https://doaj.org/article/91f517dd727e41f580451a83c34e3c71
Autor:
Arianna Defeudis, Jovana Panic, Giulia Nicoletti, Simone Mazzetti, Valentina Giannini, Daniele Regge
In recent years, researchers have explored new ways to obtain information from pathological tissues, also exploring non-invasive techniques, such as virtual biopsy (VB). VB can be defined as a test that provides promising outcomes compared to traditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92070a7f94bc490bf96e4b3a872f24d6
https://hdl.handle.net/11583/2978300
https://hdl.handle.net/11583/2978300
Autor:
Valentina Giannini, Laura Pusceddu, Arianna Defeudis, Giulia Nicoletti, Giovanni Cappello, Simone Mazzetti, Andrea Sartore-Bianchi, Salvatore Siena, Angelo Vanzulli, Francesco Rizzetto, Elisabetta Fenocchio, Luca Lazzari, Alberto Bardelli, Silvia Marsoni, Daniele Regge
Publikováno v:
Cancers, Vol 14, Iss 241, p 241 (2022)
Cancers; Volume 14; Issue 1; Pages: 241
Cancers
Cancers; Volume 14; Issue 1; Pages: 241
Cancers
Simple Summary Oxaliplatin-based chemotherapy remains the mainstay of first-line therapy in patients with metastatic colorectal cancer (mCRC). Unfortunately, only approximately 60% of treated patients achieve response, and half of responders will exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02a539f5b3c136014524292aeb980605
http://hdl.handle.net/11583/2949173
http://hdl.handle.net/11583/2949173
Autor:
Jovana Panic, Arianna Defeudis, Simone Mazzetti, Samanta Rosati, Giuliana Giannetto, Monica Micilotta, Lorenzo Vassallo, Marco Gatti, Daniele Regge, Gabriella Balestra, Valentina Giannini
The aim of the study is to present and tune a fully automatic deep learning algorithm to segment colorectal cancers (CRC) on MR images, based on a U-Net structure. It is a multicenter study, including 3 different Italian institutions, that used 4 dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b898b5c99d8e879351115610dbd7fdc
http://hdl.handle.net/11583/2960310
http://hdl.handle.net/11583/2960310