Simone Mazzetti
Orcid: 0000-0001-6011-4040
According to our database1,
Simone Mazzetti
authored at least 16 papers
between 2011 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
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 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
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
2016
MR-T2-weighted signal intensity: a new imaging biomarker of prostate cancer aggressiveness.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 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 Prostate Cancer Computer Aided Diagnosis Software including Malignancy Tumor Probabilistic Classification.
Proceedings of the BIOIMAGING 2014, 2014
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
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