Gianmarco Santini

According to our database1, Gianmarco Santini authored at least 12 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Influence of inputs for bone lesion segmentation in longitudinal <sup>18</sup>F-FDG PET/CT imaging studies.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Deformable Image Registration with Deep Network Priors: a Study on Longitudinal PET Images.
CoRR, 2021

Automatic classification of benign and malignant kidney masses using radiomics. A retrospective study exploiting the KiTS19 dataset.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Comparison between threshold-based and deep learning-based bone segmentation on whole-body CT images.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Deep learning for medical image analysis.
PhD thesis, 2019

Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge.
CoRR, 2019

2018
Training of a Skull-Stripping Neural Network with efficient data augmentation.
CoRR, 2018

Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging.
CoRR, 2018

Synthetic contrast enhancement in cardiac CT with Deep Learning.
CoRR, 2018

2017
An automatic deep learning approach for coronary artery calcium segmentation.
CoRR, 2017


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