Marica Vagni - Dissemin

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All papers authored by Marica Vagni

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2024 Konstantinos Zormpas-Petridis

ORCID

, Marica Vagni

ORCID

, Matteo Mancino, Evis Sala

Editorial Comment: Integrating Morphomics in Clinical Practice for Personalized Medicine: A Paradigm Shift Toward Holistic Care

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Francesca Moro

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, Marianna Ciancia, Drieda Zace, Marica Vagni

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, Huong Elena Tran, Maria Teresa Giudice, Sofia Gambigliani Zoccoli, Floriana Mascilini, Francesca Ciccarone, Luca Boldrini, Francesco D'Antonio, Giovanni Scambia

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, Antonia Carla Testa

Role of artificial intelligence applied to ultrasound in gynecology oncology: A systematic review

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Marica Vagni

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, Huong Elena Tran, Francesco Catucci, Giuditta Chiloiro, Andrea D’Aviero, Alessia Re, Angela Romano, Luca Boldrini, Maria Kawula, Elia Lombardo, Christopher Kurz, Guillaume Landry, Claus Belka, Luca Indovina, Maria Antonietta Gambacorta and 2 other authors

Impact of bias field correction on 0.35 T pelvic MR images: evaluation on generative adversarial network-based OARs’ auto-segmentation and visual grading assessment

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Marica Vagni

ORCID

, Huong Elena Tran, Angela Romano

ORCID

, Giuditta Chiloiro, Luca Boldrini, Konstantinos Zormpas-Petridis, Maria Kawula

ORCID

, Guillaume Landry

ORCID

, Christopher Kurz, Stefanie Corradini, Claus Belka, Luca Indovina, Maria Antonietta Gambacorta, Lorenzo Placidi, Davide Cusumano

Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models

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Claudio Votta, Sara Iacovone

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, Gabriele Turco

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, Valerio Carrozzo, Marica Vagni

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, Aurora Scalia

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, Giuditta Chiloiro

ORCID

ORCID

, Matteo Nardini

ORCID

, Giulia Panza, Lorenzo Placidi

ORCID

, Angela Romano

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, Patrizia Cornacchione, Maria Antonietta Gambacorta, Luca Boldrini

Evaluation of clinical parallel workflow in online adaptive MR-guided Radiotherapy: A detailed assessment of treatment session times

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2022 Maria Kawula, Indrawati Hadi, Lukas Nierer, Marica Vagni

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, Davide Cusumano, Luca Boldrini, Lorenzo Placidi, Stefanie Corradini, Claus Belka, Guillaume Landry, Christopher Kurz

Patient‐specific transfer learning for auto‐segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi‐centric evaluation

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Jacopo Lenkowicz, Claudio Votta, Matteo Nardini, Flaviovincenzo Quaranta, Francesco Catucci, Luca Boldrini, Marica Vagni

ORCID

, Sebastiano Menna, Lorenzo Placidi, Angela Romano, Giuditta Chiloiro, Maria Antonietta Gambacorta, Gian Carlo Mattiucci, Luca Indovina, Vincenzo Valentini and 1 other authors

A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases

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Marica Vagni

ORCID

Patient-Specific Transfer Learning to Enhance the Performance of Deep Learning Auto-Segmentation in 0.35 T MRgRT for Prostate Cancer

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2021 M. Fusella, M. Vagni

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, C. Fiandra, N. Michielli, A. Scaggion, C. Vecchi, S. Zara, F. Molinari, G. Loi

Inverse consistency error as a validation metric for deformable image registration: preliminary implementation research

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C. Enrico, S. Rosati, S. De Cillis, M. Vagni

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, N. Giordano, D. Amparore, M. Manfredi, S. De Luca, G. Cattaneo, A. Pecoraro, P. Alessio, G. Volpi, A. Piana, F. Piramide, M. Sica and 4 other authors

Evaluation of multiple prebiopsy variables via artificial intelligence with Fuzzy Logic Algorithms: a step forward in prediction of targeted biopsy outcomes

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Enrico Checcucci

ORCID

, Samanta Rosati, Sabrina De Cillis, Marica Vagni

ORCID

, Noemi Giordano

ORCID

, Alberto Piana, Stefano Granato, Daniele Amparore

ORCID

, Stefano De Luca, Cristian Fiori, Gabriella Balestra, Francesco Porpiglia

Artificial intelligence for target prostate biopsy outcomes prediction the potential application of fuzzy logic

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Enrico Checcucci, Samanta Rosati, Sabrina Titti De Cillis, Marica Vagni

ORCID

, Noemi Giordano, Alberto Piana, Stefano Granato, Daniele Amparore, Paolo Alessio, Angela Pecoraro, Federico Piramide, Gabriele Volpi, Michele Sica, Davide Zamengo, Matteo Manfredi and 4 other authors

Mp26-01 Fuzzy Logic Algorithms Artificial Intelligence for Target Prostate Biopsy: Outcomes Prediction Study

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M. Fusella, C. Fiandra, M. Vagni

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, N. Michielli, A. Scaggion, C. Vecchi, S. Zara, F. Molinari, G. Loi

PO-1658 Inverse Consistency Error for quantifying uncertainty in DIR: validation on three different sites

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Marica Vagni

ORCID

, Noemi Giordano, Gabriella Balestra, Samanta Rosati

Comparison of different similarity measures in hierarchical clustering

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E. Checcucci, S. Rosati, S. De Cillis, M. Vagni

ORCID

, N. Giordano, A. Piana, S. Granato, D. Amparore, P. Alessio, A. Pecoraro, F. Piramide, G. Volpi, M. Sica, D. Zamengo, M. Manfredi and 4 other authors

Artificial intelligence with fuzzy logic algorithms approach for target prostate biopsy outcomes prediction

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2017 Ilaria Marcantoni, Marica Vagni

ORCID

, Angela Agostinelli, Agnese Sbrollini, Micaela Morettini

ORCID

, Luca Burattini, Francesco Di Nardo, Sandro Fioretti, Laura Burattini

T-Wave Alternans Identification in Direct Fetal Electrocardiography

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