A fully automatic lesion detection method for DCE-MRI fat-suppressed breast images. - Anna Vignati; Valentina Giannini; Alberto Bert; Massimo De Luca; Lia Morra; Diego Persano; Laura Martincich; Daniele Regge (Computer-Aided Diagnosis, 2009)

A fully automatic method to register the prostate gland on T2-weighted and EPI-DWI images. - Massimo De Luca; Valentina Giannini; Anna Vignati; Simone Mazzetti; Christian Bracco; Michele Stasi; Enrico Armando; Filippo Russo; Enrico Bollito; Francesco Porpiglia; Daniele Regge (EMBC, 2011)

A CAD system based on multi-parametric analysis for cancer prostate detection on DCE-MRI. - Simone Mazzetti; Massimo De Luca; Christian Bracco; Anna Vignati; Valentina Giannini; Michele Stasi; Filippo Russo; Enrico Armando; Silvano Agliozzo; Daniele Regge (Computer-Aided Diagnosis, 2011)

Computer Aided Diagnosis systems for MR cancer detection. - Valentina Giannini (2012)

A prostate CAD system based on multiparametric analysis of DCE T1-w, and DW automatically registered images. - Valentina Giannini; Anna Vignati; Simone Mazzetti; Massimo De Luca; Christian Bracco; Michele Stasi; Filippo Russo; Enrico Armando; Daniele Regge (Computer-Aided Diagnosis, 2013)

A dynamic assessment tool for exploring and communicating vulnerability to floods and climate change. - Carlo Giupponi; Silvio Giove; Valentina Giannini (Environ. Model. Softw., 2013)

A Prostate Cancer Computer Aided Diagnosis Software including Malignancy Tumor Probabilistic Classification. - Alessandro Savino; Alfredo Benso; Stefano Di Carlo; Valentina Giannini; Anna Vignati; Gianfranco Politano; Simone Mazzetti; Daniele Regge (BIOIMAGING, 2014)

A new algorithm for automatic vascular mapping of DCE-MRI of the breast: Clinical application of a potential new biomarker. - Anna Vignati; Valentina Giannini; Luca A. Carbonaro; Ilaria Bertotto; Laura Martincich; Francesco Sardanelli; Daniele Regge (Comput. Methods Programs Biomed., 2014)

A 3D Voxel Neighborhood Classification Approach within a Multiparametric MRI Classifier for Prostate Cancer Detection. - Francesco Rossi; Alessandro Savino; Valentina Giannini; Anna Vignati; Simone Mazzetti; Alfredo Benso; Stefano Di Carlo; Gianfranco Politano; Daniele Regge (IWBBIO (1), 2015)

ChiMerge discretization method: Impact on a computer aided diagnosis system for prostate cancer in MRI. - Samanta Rosati; Gabriella Balestra; Valentina Giannini; Simone Mazzetti; Filippo Russo; Daniele Regge (MeMeA, 2015)

A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging. - Valentina Giannini; Simone Mazzetti; Anna Vignati; Filippo Russo; Enrico Bollito; Francesco Porpiglia; Michele Stasi; Daniele Regge (Comput. Medical Imaging Graph., 2015)

Dataset homogeneity assessment for a prostate cancer CAD system. - Samanta Rosati; Valentina Giannini; Cristina Castagneri; Daniele Regge; Gabriella Balestra (MeMeA, 2016)

MR-T2-weighted signal intensity: a new imaging biomarker of prostate cancer aggressiveness. - Valentina Giannini; Anna Vignati; S. Mirasole; Simone Mazzetti; Filippo Russo; Michele Stasi; Daniele Regge (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016)

Radiomics for pretreatment prediction of pathological response to neoadjuvant therapy using magnetic resonance imaging: Influence of feature selection. - Valentina Giannini; Samanta Rosati; Cristina Castagneri; Laura Martincich; Daniele Regge; Gabriella Balestra (ISBI, 2018)

Correlation based Feature Selection impact on the classification of breast cancer patients response to neoadjuvant chemotherapy. - Samanta Rosati; Claudia Maria Gianfreda; Gabriella Balestra; Laura Martincich; Valentina Giannini; Daniele Regge (MeMeA, 2018)

Multimodal T2w and DWI Prostate Gland Automated Registration. - Bruno De Santi; Massimo Salvi; Valentina Giannini; Kristen M. Meiburger; Nicola Michielli; Silvia Seoni; Daniele Regge; Filippo Molinari (EMBC, 2019)

An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images. - Valentina Giannini; Arianna Defeudis; Samanta Rosati; Giovanni Cappello; Simone Mazzetti; Jovana Panic; Daniele Regge; Gabriella Balestra (EMBC, 2020)

A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images. - Jovana Panic; Arianna Defeudis; Simone Mazzetti; Samanta Rosati; Giuliana Giannetto; Lorenzo Vassallo; Daniele Regge; Gabriella Balestra; Valentina Giannini (EMBC, 2020)

Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images. - Bruno De Santi; Massimo Salvi; Valentina Giannini; Kristen M. Meiburger; Francesco Marzola; Filippo Russo; Martino Bosco; Filippo Molinari (EMBC, 2020)

Deep learning to segment liver metastases on CT images: impact on a radiomics method to predict response to chemotherapy. - Valentina Giannini; Arianna Defeudis; Samanta Rosati; Giovanni Cappello; Lorenzo Vassallo; Simone Mazzetti; Jovana Panic; Daniele Regge; Gabriella Balestra (MeMeA, 2020)

Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil. - Davide Barra; Giulia Nicoletti; Arianna Defeudis; Simone Mazzetti; Jovana Panic; Marco Gatti; Riccardo Faletti; Filippo Russo; Daniele Regge; Valentina Giannini (EMBC, 2021)

Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer. - Arianna Defeudis; Lorenzo Cefaloni; Giuliana Giannetto; Giovanni Cappello; Francesco Rizzetto; Jovana Panic; Davide Barra; Giulia Nicoletti; Simone Mazzetti; Alberto Vanzulli; Daniele Regge; Valentina Giannini (EMBC, 2021)

Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI? - Giulia Nicoletti; Davide Barra; Arianna Defeudis; Simone Mazzetti; Marco Gatti; Riccardo Faletti; Filippo Russo; Daniele Regge; Valentina Giannini (EMBC, 2021)

A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study. - Jovana Panic; Arianna Defeudis; Simone Mazzetti; Samanta Rosati; Giuliana Giannetto; Monica Micilotta; Lorenzo Vassallo; Marco Gatti; Daniele Regge; Gabriella Balestra; Valentina Giannini (EMBC, 2022)

A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy. - Arianna Defeudis; Jovana Panic; Walter Guzzinati; Laura Pusceddu; Lorenzo Vassallo; Daniele Regge; Valentina Giannini (MeMeA, 2022)

Comparison of Machine and Deep Learning models for automatic segmentation of prostate cancers on multiparametric MRI. - Giovanni Maimone; Giulia Nicoletti; Simone Mazzetti; Daniele Regge; Valentina Giannini (MeMeA, 2022)

Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images. - Jovana Panic; Valentina Giannini; Arianna Defeudis; Daniele Regge; Gabriella Balestra; Samanta Rosati (MeMeA, 2022)

Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images. - Massimo Salvi; Bruno De Santi; Bianca Pop; Martino Bosco; Valentina Giannini; Daniele Regge; Filippo Molinari; Kristen M. Meiburger (J. Imaging, 2022)

How Do Norms and Noise Impact Clustering Results? A Robustness Analysis Applied to Digital Pathology. - Giulia Nicoletti; Caterina Marchiò; Samanta Rosati; Enrico Berrino; Maria Costanza Aquilano; Emanuela Bonoldi; Gabriella Balestra; Daniele Regge; Valentina Giannini (BIBE, 2023)

Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model. - Jovana Panic; Arianna Defeudis; Daniele Regge; Gabriella Balestra; Samanta Rosati; Valentina Giannini (BIBE, 2023)

Bag-of-Words Algorithm to Predict Response to Treatment in Gist Tumors Using CT Scans. - Debora Cafaro; Giovanni Cappello; Roberto Cannella; Tommaso Vincenzo Bartolotta; Giovanni Grignani; Alessandra Merlini; Daniele Regge; Valentina Giannini (ISBI, 2024)

Data and System Traceability for Transparent AI in Medical Imaging. - Sara Colantonio; Andrea Berti; Gianluca Carloni; Claudia Caudai; Giulio Del Corso; Danila Germanese; Eva Pachetti; Maria Antonietta Pascali; Varvara Kalokyri; Haridimos Kondylakis; Charalampos Kalantzopoulos; Nikolaos S. Tachos; et al. (SEBD, 2024)

MultiTrans: Multi-branch transformer network for medical image segmentation. - Yanhua Zhang; Gabriella Balestra; Ke Zhang; Jingyu Wang; Samanta Rosati; Valentina Giannini (Comput. Methods Programs Biomed., 2024)

Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi-Center Setting. - Jovana Panic; Arianna Defeudis; Lorenzo Vassallo; Stefano Cirillo; Marco Gatti; Roberto Sghedoni; Michele Avanzo; Angelo Vanzulli; Luca Sorrentino; Luca Boldrini; Huong Elena Tran; Giuditta Chiloiro; et al. (Int. J. Imaging Syst. Technol., 2025)