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Mario Sansone
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2020 – today
- 2024
- [j21]Francesca Angelone
, Alfonso Maria Ponsiglione
A general framework for the assessment of scatter correction techniques in digital mammography. Biomed. Signal Process. Control. 89: 105802 (2024) - [j20]Michela Gravina
A Physiological-Informed Generative Model for Improving Breast Lesion Classification in Small DCE-MRI Datasets. IEEE J. Biomed. Health Informatics 28(11): 6764-6777 (2024) - [c22]Rajeev Ranjan, Giovanni Costa, Maria Antonietta Ferrara, Mario Sansone, Luigi Sirleto:
Relative intensity noise measurements in SRS microscope based on three femtosecond laser. ICTON 2024: 1-4 - [c21]Giovanni Costa, Rajeev Ranjan, Maria Antonietta Ferrara, Mario Sansone, Luigi Sirleto:
Image denoising based on two widespread algorithms in femtosecond stimulated Raman scattering microscopy. ICTON 2024: 1-4 - 2023
- [j19]Francesca Angelone
Diagnostic Applications of Intraoral Scanners: A Systematic Review. J. Imaging 9(7): 134 (2023) - [c20]Giovanni Costa, Rajeev Ranjan, Maria Antonietta Ferrara, Mario Sansone, Luigi Sirleto:
Image Denoising in Femtosecond Stimulated Raman Scattering Microscopy. ICTON 2023: 1-4 - [c19]Rajeev Ranjan, Giovanni Costa, Maria Antonietta Ferrara, Mario Sansone, Luigi Sirleto:
Noise Investigation in Femtosecond Stimulated Raman Scattering Microscopy. ICTON 2023: 1-4 - 2022
- [c18]Francesca Angelone
Breast Density Analysis on Mammograms: Application of Machine Learning with Textural Features. MetroXRAINE 2022: 295-300 - [c17]Mario Sansone, Alfonso Maria Ponsiglione, Francesca Angelone
Effect of X-ray scatter correction on the estimation of attenuation coefficient in mammography: a simulation study. MetroXRAINE 2022: 323-328 - 2021
- [j18]Antonio Galli
A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI. J. Imaging 7(12): 276 (2021) - [j17]Michela Gravina
DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI. Pattern Recognit. Lett. 145: 67-73 (2021) - 2020
- [j16]Gabriele Piantadosi
Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks. Artif. Intell. Medicine 103: 101781 (2020)
2010 – 2019
- 2019
- [j15]Roberta Fusco
Radiomic features analysis by digital breast tomosynthesis and contrast-enhanced dual-energy mammography to detect malignant breast lesions. Biomed. Signal Process. Control. 53 (2019) - [c16]Antonio Galli, Michela Gravina
Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification. CAIP (2) 2019: 294-304 - [c15]Gabriele Piantadosi
DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network. CBMS 2019: 628-633 - [c14]Michela Gravina
3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI. ICIAP (2) 2019: 661-671 - 2018
- [j14]Gabriele Piantadosi
Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns. IET Comput. Vis. 12(7): 1007-1017 (2018) - [j13]Antonietta Canna
Automated search of control points in surface-based morphometry. NeuroImage 176: 56-70 (2018) - [c13]Gabriele Piantadosi
Breast Segmentation in MRI via U-Net Deep Convolutional Neural Networks. ICPR 2018: 3917-3922 - 2017
- [j12]Mario Merone
ECG databases for biometric systems: A systematic review. Expert Syst. Appl. 67: 189-202 (2017) - [c12]Stefano Marrone
An Investigation of Deep Learning for Lesions Malignancy Classification in Breast DCE-MRI. ICIAP (2) 2017: 479-489 - 2016
- [c11]Stefano Marrone
Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI. ICPR 2016: 1472-1477 - 2015
- [j11]Mario Sansone
A geometrical perspective on the 3TP method in DCE-MRI. Biomed. Signal Process. Control. 16: 32-39 (2015) - [j10]Francesco Gargiulo
Subject identification via ECG fiducial-based systems: Influence of the type of QT interval correction. Comput. Methods Programs Biomed. 121(3): 127-136 (2015) - [j9]Gabriele Piantadosi
A secure, scalable and versatile multi-layer client-server architecture for remote intelligent data processing. J. Reliab. Intell. Environ. 1(2-4): 173-187 (2015) - [c10]Antonio Fratini
Suitability of a low cost system for quantitative motion capture applications. FG 2015: 1-8 - [c9]Gabriele Piantadosi
LBP-TOP for Volume Lesion Classification in Breast DCE-MRI. ICIAP (1) 2015: 647-657 - [c8]Gabriele Piantadosi
Data-driven selection of motion correction techniques in breast DCE-MRI. MeMeA 2015: 273-278 - 2014
- [c7]Stefano Marrone
A Novel Model-Based Measure for Quality Evaluation of Image Registration Techniques in DCE-MRI. CBMS 2014: 209-214 - 2013
- [j8]Paolo Bifulco, Mario Cesarelli
Measurement of Intervertebral Cervical Motion by Means of Dynamic X-Ray Image Processing and Data Interpolation. Int. J. Biomed. Imaging 2013: 152920:1-152920:7 (2013) - [c6]Gabriele Piantadosi
A Secure OsiriX Plug-In for Detecting Suspicious Lesions in Breast DCE-MRI. ICA3PP (2) 2013: 217-224 - [c5]Stefano Marrone
Automatic Lesion Detection in Breast DCE-MRI. ICIAP (2) 2013: 359-368 - [c4]Antonio Fratini
Individual identification using electrocardiogram morphology. MeMeA 2013: 107-110 - 2012
- [j7]Mario Sansone
Automated segmentation of comet assay images using Gaussian filtering and fuzzy clustering. Medical Biol. Eng. Comput. 50(5): 523-532 (2012) - [c3]Roberta Fusco
Segmentation and classification of breast lesions using dynamic and textural features in Dynamic Contrast Enhanced-Magnetic Resonance Imaging. CBMS 2012: 1-4 - [c2]Roberta Fusco
A Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI. SSPR/SPR 2012: 684-692 - 2011
- [j6]Paolo Melillo, Roberta Fusco
Discrimination power of long-term heart rate variability measures for chronic heart failure detection. Medical Biol. Eng. Comput. 49(1): 67-74 (2011) - [j5]Mario Sansone
An expectation-maximisation approach for simultaneous pixel classification and tracer kinetic modelling in dynamic contrast enhanced-magnetic resonance imaging. Medical Biol. Eng. Comput. 49(4): 485-495 (2011) - [j4]Leandro Pecchia
Discrimination Power of Short-Term Heart Rate Variability Measures for CHF Assessment. IEEE Trans. Inf. Technol. Biomed. 15(1): 40-46 (2011) - [c1]Roberta Fusco
Selection of Suspicious ROIs in Breast DCE-MRI. ICIAP (1) 2011: 48-57 - 2010
- [j3]Mario Sansone
Adaptive removal of gradients-induced artefacts on ECG in MRI: a performance analysis of RLS filtering. Medical Biol. Eng. Comput. 48(5): 475-482 (2010)
2000 – 2009
- 2006
- [j2]Maria Romano, Marcello Bracale, Mario Cesarelli
Antepartum cardiotocography: A study of fetal reactivity in frequency domain. Comput. Biol. Medicine 36(6): 619-633 (2006) - [j1]Maria Romano, Paolo Bifulco, Mario Cesarelli
Foetal heart rate power spectrum response to uterine contraction. Medical Biol. Eng. Comput. 44(3): 188-201 (2006)
Coauthor Index
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