Valentina Giannini
Orcid: 0000-0001-5052-8231
According to our database1,
Valentina Giannini
authored at least 30 papers
between 2009 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
How Do Norms and Noise Impact Clustering Results? A Robustness Analysis Applied to Digital Pathology.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
2022
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images.
J. Imaging, 2022
Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
Comparison of Machine and Deep Learning models for automatic segmentation of prostate cancers on multiparametric MRI.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI?
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Deep learning to segment liver metastases on CT images: impact on a radiomics method to predict response to chemotherapy.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Correlation based Feature Selection impact on the classification of breast cancer patients response to neoadjuvant chemotherapy.
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018
Radiomics for pretreatment prediction of pathological response to neoadjuvant therapy using magnetic resonance imaging: Influence of feature selection.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2016
MR-T2-weighted signal intensity: a new imaging biomarker of prostate cancer aggressiveness.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016
Proceedings of the 2016 IEEE International Symposium on Medical Measurements and Applications, 2016
2015
A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging.
Comput. Medical Imaging Graph., 2015
ChiMerge discretization method: Impact on a computer aided diagnosis system for prostate cancer in MRI.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015
A 3D Voxel Neighborhood Classification Approach within a Multiparametric MRI Classifier for Prostate Cancer Detection.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
2014
A new algorithm for automatic vascular mapping of DCE-MRI of the breast: Clinical application of a potential new biomarker.
Comput. Methods Programs Biomed., 2014
A Prostate Cancer Computer Aided Diagnosis Software including Malignancy Tumor Probabilistic Classification.
Proceedings of the BIOIMAGING 2014, 2014
2013
A dynamic assessment tool for exploring and communicating vulnerability to floods and climate change.
Environ. Model. Softw., 2013
A prostate CAD system based on multiparametric analysis of DCE T1-w, and DW automatically registered images.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
2011
A CAD system based on multi-parametric analysis for cancer prostate detection on DCE-MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
A fully automatic method to register the prostate gland on T2-weighted and EPI-DWI images.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009