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Gabriele Piantadosi
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2020 – today
- 2024
- [c18]Saverio De Vito, Gerardo D'Elia, Sergio Ferlito, Elena Esposito, Gabriele Piantadosi
, Girolamo Di Francia:
Remote Calibration strategies for Low Cost Air Quality Multisensors: a performance comparison. ISOEN 2024: 1-4 - [c17]Alessandro Del Prete, Sofia Dutto, Antonino Ferraro, Antonio Galli, Vincenzo Moscato, Gabriele Piantadosi, Carlo Sansone, Giancarlo Sperlì:
AI in Industry: Activities of the CINI-AIIS Lab at University of Naples Federico II. Ital-IA 2024: 265-270 - 2021
- [j5]Antonio Galli
A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI. J. Imaging 7(12): 276 (2021) - 2020
- [j4]Gabriele Piantadosi
Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks. Artif. Intell. Medicine 103: 101781 (2020) - [c16]Michela Gravina
Developing a Smart PACS: CBIR System Using Deep Learning. ICPR Workshops (2) 2020: 296-309
2010 – 2019
- 2019
- [j3]Flora Amato
HOLMeS: eHealth in the Big Data and Deep Learning Era. Inf. 10(2): 34 (2019) - [c15]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 - [c14]Gabriele Piantadosi
DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network. CBMS 2019: 628-633 - [c13]Stefano Marrone
Reproducibility of Deep CNN for Biomedical Image Processing Across Frameworks and Architectures. EUSIPCO 2019: 1-5 - [c12]Gabriele Piantadosi
Skin Lesions Classification: A Radiomics Approach with Deep CNN. ICIAP Workshops 2019: 252-259 - [c11]Michela Gravina
3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI. ICIAP (2) 2019: 661-671 - 2018
- [j2]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) - [c10]Gabriele Piantadosi
Breast Segmentation in MRI via U-Net Deep Convolutional Neural Networks. ICPR 2018: 3917-3922 - [c9]Gabriele Piantadosi
On Reproducibility of Deep Convolutional Neural Networks Approaches. RRPR 2018: 104-109 - 2017
- [c8]Flora Amato, Stefano Marrone, Vincenzo Moscato, Gabriele Piantadosi, Antonio Picariello, Carlo Sansone:
Chatbots Meet eHealth: Automatizing Healthcare. WAIAH@AI*IA 2017: 40-49 - [c7]Stefano Marrone
An Investigation of Deep Learning for Lesions Malignancy Classification in Breast DCE-MRI. ICIAP (2) 2017: 479-489 - 2016
- [c6]Stefano Marrone
Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI. ICPR 2016: 1472-1477 - 2015
- [j1]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) - [c5]Gabriele Piantadosi
LBP-TOP for Volume Lesion Classification in Breast DCE-MRI. ICIAP (1) 2015: 647-657 - [c4]Gabriele Piantadosi
Data-driven selection of motion correction techniques in breast DCE-MRI. MeMeA 2015: 273-278 - 2014
- [c3]Stefano Marrone
A Novel Model-Based Measure for Quality Evaluation of Image Registration Techniques in DCE-MRI. CBMS 2014: 209-214 - 2013
- [c2]Gabriele Piantadosi
A Secure OsiriX Plug-In for Detecting Suspicious Lesions in Breast DCE-MRI. ICA3PP (2) 2013: 217-224 - [c1]Stefano Marrone
Automatic Lesion Detection in Breast DCE-MRI. ICIAP (2) 2013: 359-368
Coauthor Index
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last updated on 2024-10-09 20:29 CEST by the dblp team
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