V. Giannini

发表

Predicting locally advanced rectal cancer response to neoadjuvant therapy with 18F-FDG PET and MRI radiomics features

E. Medico, D. Ribero, A. Pisacane, 2019, European Journal of Nuclear Medicine and Molecular Imaging.

Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness

M. Stasi, V. Giannini, S. Mazzetti, 2015, Physics in medicine and biology.

A fully automatic algorithm for segmentation of the breasts in DCE-MR images

A. Bert, F. Sardanelli, V. Giannini, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Performance of a fully automatic lesion detection system for breast DCE‐MRI

A. Bert, F. Sardanelli, V. Giannini, 2011, Journal of magnetic resonance imaging : JMRI.

Computer-aided diagnosis for dynamic contrast-enhanced breast MRI of mass-like lesions using a multiparametric model combining a selection of morphological, kinetic, and spatiotemporal features.

A Vignati, D Regge, V Giannini, 2012, Medical physics.

A computer-aided diagnosis (CAD) scheme for pretreatment prediction of pathological response to neoadjuvant therapy using dynamic contrast-enhanced MRI texture features.

Daniele Regge, Valentina Giannini, Simone Mazzetti, 2017, The British journal of radiology.

Radiomics to Predict Response to Neoadjuvant Chemotherapy in Rectal Cancer: Influence of Simultaneous Feature Selection and Classifier Optimization

C. M. Gianfreda, G. Balestra, G. Balestra, 2018, 2018 IEEE Life Sciences Conference (LSC).

Big data in oncologic imaging

Michele Stasi, Daniele Regge, Valentina Giannini, 2017, La radiologia medica.

Nipple-sparing mastectomy: external validation of a three-dimensional automated method to predict nipple occult tumour involvement on preoperative breast MRI

N. Biglia, V. Giannini, L. Martincich, 2019, European Radiology Experimental.

Radiomics predicts response of individual HER2‐amplified colorectal cancer liver metastases in patients treated with HER2‐targeted therapy

G. Balestra, A. Torresin, S. Marsoni, 2020, International journal of cancer.

Diagnostic Accuracy of Single-plane Biparametric and Multiparametric Magnetic Resonance Imaging in Prostate Cancer: A Randomized Noninferiority Trial in Biopsy-naïve Men.

V. Giannini, S. Mazzetti, D. Regge, 2021, European urology oncology.

Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images

F. Molinari, K. Meiburger, V. Giannini, 2022, J. Imaging.

MRI to predict nipple‐areola complex (NAC) involvement: An automatic method to compute the 3D distance between the NAC and tumor

R. Ponzone, V. Giannini, S. Mazzetti, 2017, Journal of surgical oncology.

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

G. Muto, V. Giannini, S. Mazzetti, 2021, Diagnostics.

Standardization of CT radiomics features for multi-center analysis: impact of software settings and parameters

Alberto Torresin, Francesco Rizzetto, Daniele Regge, 2020, Physics in medicine and biology.

Radiological Wheeler staging system: a retrospective cohort analysis to improve the local staging of prostate cancer with multiparametric MRI.

V. Giannini, S. Mazzetti, D. Regge, 2019, Minerva urologica e nefrologica = The Italian journal of urology and nephrology.

[Proceeding] A 3D voxel neighborhood classification approach within a multiparametric MRI classifier for prostate cancer detection

A. Benso, S. Carlo, G. Politano, 2016 .

MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study

R. Faletti, V. Giannini, S. Mazzetti, 2022, European Radiology Experimental.

A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies

Piergiorgio Cerello, Alberto Traverso, Michele Stasi, 2018, European Radiology.

Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?

R. Faletti, V. Giannini, S. Mazzetti, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy

V. Giannini, D. Regge, J. Panic, 2022, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images

G. Balestra, S. Rosati, V. Giannini, 2022, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases

Alberto Torresin, Silvia Ghezzi, Francesco Rizzetto, 2020, European Radiology Experimental.

A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study

G. Balestra, S. Rosati, V. Giannini, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

V. Giannini, S. Mazzetti, D. Regge, 2022, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Computer Aided Diagnosis systems for MR cancer detection

Valentina Giannini, V. Giannini, 2012 .

Delta-Radiomics Predicts Response to First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients with Liver Metastases

A. Bardelli, S. Marsoni, A. Sartore-Bianchi, 2022, Cancers.

MR-T2-weighted signal intensity: a new imaging biomarker of prostate cancer aggressiveness

Daniele Regge, Valentina Giannini, Anna Vignati, 2016, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Detection of prostate cancer index lesions with multiparametric magnetic resonance imaging (mp‐MRI) using whole‐mount histological sections as the reference standard

V. Giannini, S. Mazzetti, D. Regge, 2016, BJU international.

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

A. Veltri, V. Giannini, S. Mazzetti, 2021, Frontiers in Oncology.

Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice

E. Neri, R. Golfieri, A. Laghi, 2021, Diagnostics.

A Prostate Cancer Computer Aided Diagnosis Software including Malignancy Tumor Probabilistic Classification

Alfredo Benso, Gianfranco Politano, Alessandro Savino, 2014, BIOIMAGING.

Radiomics in colorectal cancer patients

R. Faletti, V. Giannini, R. Cannella, 2023, World journal of gastroenterology.

Virtual biopsy in abdominal pathology: where do we stand?

V. Giannini, S. Mazzetti, D. Regge, 2023, BJR open.

A 3D Voxel Neighborhood Classification Approach within a Multiparametric MRI Classifier for Prostate Cancer Detection

Alfredo Benso, Gianfranco Politano, Alessandro Savino, 2015, IWBBIO.

A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images

Gabriella Balestra, Jovana Panic, Daniele Regge, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Computer-aided diagnosis of prostate cancer using multi-parametric MRI: comparison between PUN and Tofts models

S Mazzetti, D Regge, V Giannini, 2018, Physics in medicine and biology.

Multiparametric magnetic resonance imaging of the prostate with computer-aided detection: experienced observer performance study

Daniele Regge, Valentina Giannini, Simone Mazzetti, 2017, European Radiology.

A prostate CAD system based on multiparametric analysis of DCE T1-w, and DW automatically registered images

Daniele Regge, Valentina Giannini, Anna Vignati, 2013, Medical Imaging.

Specificity improvement of a CAD system for multiparametric MR prostate cancer using texture features and artificial neural networks

Gabriella Balestra, Samanta Rosati, Valentina Giannini, 2017 .

ChiMerge discretization method: Impact on a computer aided diagnosis system for prostate cancer in MRI

Gabriella Balestra, Samanta Rosati, Daniele Regge, 2015, 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings.

Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-Analyses

G. Balestra, S. Rosati, V. Giannini, 2023, IEEE Open Journal of Engineering in Medicine and Biology.

A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging

Francesco Porpiglia, Daniele Regge, Valentina Giannini, 2015, Comput. Medical Imaging Graph..

A fully automatic lesion detection method for DCE-MRI fat-suppressed breast images

Lia Morra, Daniele Regge, Valentina Giannini, 2009, Medical Imaging.

Could normalization improve robustness of abdominal MRI radiomic features?

G. Balestra, S. Rosati, V. Giannini, 2023, Biomedical physics & engineering express.

Correlation based Feature Selection impact on the classification of breast cancer patients response to neoadjuvant chemotherapy

Gabriella Balestra, Samanta Rosati, Daniele Regge, 2018, 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Radiomics for pretreatment prediction of pathological response to neoadjuvant therapy using magnetic resonance imaging: Influence of feature selection

Gabriella Balestra, Samanta Rosati, Cristina Castagneri, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

A new algorithm for automatic vascular mapping of DCE-MRI of the breast: Clinical application of a potential new biomarker

Daniele Regge, Valentina Giannini, Anna Vignati, 2014, Comput. Methods Programs Biomed..

Registration, lesion detection, and discrimination for breast dynamic contrast-enhanced magnetic resonance imaging

Filippo Molinari, Lia Morra, Daniele Regge, 2013 .

A Fully Automatic Multiscale 3-Dimensional Hessian-Based Algorithm for Vessel Detection in Breast DCE-MRI

Pasquale Borrelli, Daniele Regge, Valentina Giannini, 2012, Investigative radiology.

A mutation-based radiomics signature predicts response to imatinib in Gastrointestinal Stromal Tumors (GIST)

V. Giannini, D. Regge, R. Cannella, 2023, European journal of radiology open.

Detection of prostate cancer index lesions with multiparametric magnetic resonance imaging (mp‐MRI) using whole‐mount histological sections as the reference standard

V. Giannini, S. Mazzetti, D. Regge, 2016, BJU international.

Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-Analyses

G. Balestra, S. Rosati, V. Giannini, 2023, IEEE Open Journal of Engineering in Medicine and Biology.