Francesco Giganti

Orcid: 0000-0001-5218-6431

According to our database1, Francesco Giganti authored at least 10 papers between 2017 and 2022.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation.
CoRR, 2022

Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Synthesizing VERDICT Maps from Standard DWI Data Using GANs.
Proceedings of the Computational Diffusion MRI - 12th International Workshop, 2021

Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks.
IEEE Trans. Medical Imaging, 2018

Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017
Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017


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