Federico Pollastri

According to our database1, Federico Pollastri authored at least 13 papers between 2018 and 2022.

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

Timeline

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Links

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Bibliography

2022
Deep Segmentation of the Mandibular Canal: A New 3D Annotated Dataset of CBCT Volumes.
IEEE Access, 2022

Long-Range 3D Self-Attention for MRI Prostate Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A deep analysis on high-resolution dermoscopic image classification.
IET Comput. Vis., 2021

A Cone Beam Computed Tomography Annotation Tool for Automatic Detection of the Inferior Alveolar Nerve Canal.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020
Augmenting data with GANs to segment melanoma skin lesions.
Multim. Tools Appl., 2020

Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Supporting Skin Lesion Diagnosis with Content-Based Image Retrieval.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Skin Lesion Segmentation Ensemble with Diverse Training Strategies.
Proceedings of the Computer Analysis of Images and Patterns, 2019

How Does Connected Components Labeling with Decision Trees Perform on GPUs?
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
A Hierarchical Quasi-Recurrent approach to Video Captioning.
Proceedings of the IEEE International Conference on Image Processing, 2018

Improving Skin Lesion Segmentation with Generative Adversarial Networks.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Monitoring the Effectiveness of Clinical Guidelines: Is the Recommendation Still Valid?
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018


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