Daniele Regge
Orcid: 0000-0001-8267-5279
According to our database1,
Daniele Regge
authored at least 43 papers
between 2008 and 2024.
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Bibliography
2024
Corrigendum to "Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data" [Comput. Biol. Med. 17 (2024) 108216].
Comput. Biol. Medicine, 2024
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data.
Comput. Biol. Medicine, 2024
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
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
2017
Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonography.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
A Web- and Cloud- based Service for the Clinical Use of a CAD (Computer Aided Detection) System - Automated Detection of Lung Nodules in Thoracic CTs (Computed Tomographies).
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
2016
MR-T2-weighted signal intensity: a new imaging biomarker of prostate cancer aggressiveness.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016
Performance evaluation of multi-material electronic cleansing for ultra-low-dose dual-energy CT colonography.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Deep transfer learning of virtual endoluminal views for the detection of polyps in CT colonography.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 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
Context-specific method for detection of soft-tissue lesions in non-cathartic low-dose dual-energy CT colonography.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 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
Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 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
2012
Application of CT Acquisition Parameters as Features in Computer-Aided Detection for CT Colonography.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012
2011
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
Comparative Performance of Random Forest and Support Vector Machine Classifiers for Detection of Colorectal Lesions in CT Colonography.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 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
Comput. Medical Imaging Graph., 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Adaptive remapping procedure for electronic cleansing of fecal tagging CT colonography images.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Characteristics of false positive findings in CT colonography CAD: a comparison of two fecal tagging regimens.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
Computer aided detection of polyps in virtual colonoscopy with sameday faecal tagging.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008