Gabriele Piantadosi

Orcid: 0000-0002-0764-8542

According to our database1, Gabriele Piantadosi authored at least 23 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
AI in Industry: Activities of the CINI-AIIS Lab at University of Naples Federico II.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Remote Calibration strategies for Low Cost Air Quality Multisensors: a performance comparison.
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2024

2021
A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI.
J. Imaging, 2021

2020
Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks.
Artif. Intell. Medicine, 2020

Developing a Smart PACS: CBIR System Using Deep Learning.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
HOLMeS: eHealth in the Big Data and Deep Learning Era.
Inf., 2019

Skin Lesions Classification: A Radiomics Approach with Deep CNN.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Reproducibility of Deep CNN for Biomedical Image Processing Across Frameworks and Architectures.
Proceedings of the 27th European Signal Processing Conference, 2019

DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns.
IET Comput. Vis., 2018

On Reproducibility of Deep Convolutional Neural Networks Approaches.
Proceedings of the Reproducible Research in Pattern Recognition, 2018

Breast Segmentation in MRI via U-Net Deep Convolutional Neural Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
An Investigation of Deep Learning for Lesions Malignancy Classification in Breast DCE-MRI.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Chatbots Meet eHealth: Automatizing Healthcare.
Proceedings of the Workshop on Artificial Intelligence with Application in Health co-located with the 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017

2016
Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
A secure, scalable and versatile multi-layer client-server architecture for remote intelligent data processing.
J. Reliab. Intell. Environ., 2015

Data-driven selection of motion correction techniques in breast DCE-MRI.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015

LBP-TOP for Volume Lesion Classification in Breast DCE-MRI.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

2014
A Novel Model-Based Measure for Quality Evaluation of Image Registration Techniques in DCE-MRI.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Automatic Lesion Detection in Breast DCE-MRI.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

A Secure OsiriX Plug-In for Detecting Suspicious Lesions in Breast DCE-MRI.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2013


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