Pietro Gori

Orcid: 0000-0003-3456-8529

According to our database1, Pietro Gori authored at least 54 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry.
NeuroImage, 2024

Sparsity Constrained Linear Tangent Space Alignment Model (LTSA) for 3d Cardiac Extracellular Volume Mapping.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Separating common from salient patterns with Contrastive Representation Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Double InfoGAN for Contrastive Analysis.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement.
Medical Image Anal., December, 2023

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones.
CoRR, 2023

Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer.
Proceedings of the Cancer Prevention Through Early Detection, 2023

Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Decoupled Conditional Contrastive Learning with Variable Metadata for Prostate Lesion Detection.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging.
Proceedings of the Italia Intelligenza Artificiale, 2023

Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Contrastive Learning for Regression in Multi-Site Brain Age Prediction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Integrating Prior Knowledge in Contrastive Learning with Kernel.
Proceedings of the International Conference on Machine Learning, 2023

Unbiased Supervised Contrastive Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Rethinking Positive Sampling for Contrastive Learning with Kernel.
CoRR, 2022

Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers.
Comput. Graph. Forum, 2022

Weighted Metamorphosis for Registration of Images with Different Topologies.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Optimizing Transformations for Contrastive Learning in a Differentiable Framework.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Deep Residual Learning Implementation of Metamorphosis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Hair color digitization through imaging and deep inverse graphics.
Proceedings of the Image Processing: Algorithms and Systems XX, 2022

Is the U-NET Directional-Relationship Aware?
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Anatomically constrained CT image translation for heterogeneous blood vessel segmentation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies.
Frontiers Neuroinformatics, 2021

Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels.
CoRR, 2021

Template-Based Graph Clustering.
CoRR, 2021

Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification.
CoRR, 2021

Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning.
CoRR, 2021

Approximation of dilation-based spatial relations to add structural constraints in neural networks.
CoRR, 2021

UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Automatic Size And Pose Homogenization With Spatial Transformer Network To Improve And Accelerate Pediatric Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Metamorphic Image Registration Using a Semi-lagrangian Scheme.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

Deep Graphics Encoder for Real-Time Video Makeup Synthesis From Example.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
QFib: Fast and Efficient Brain Tractogram Compression.
Neuroinformatics, 2020

Comprehensive Review of 3D Segmentation Software Tools for MRI Usable for Pelvic Surgery Planning.
J. Digit. Imaging, 2020

Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

Knowledge Distillation from Multi-modal to Mono-modal Segmentation Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Fast and Scalable Optimal Transport for Brain Tractograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

White Matter Multi-Resolution Segmentation Using Fuzzy Set Theory.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Double Diffeomorphism: Combining Morphometry and Structural Connectivity Analysis.
IEEE Trans. Medical Imaging, 2018

Progressive and Efficient Multi-Resolution Representations for Brain Tractograms.
Proceedings of the 8th Eurographics Workshop on Visual Computing for Biology and Medicine, 2018

Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

2017
A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes.
Medical Image Anal., 2017

Comparison of distances for supervised segmentation of white matter tractography.
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

White Matter Fiber Segmentation Using Functional Varifolds.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

2016
Statistical models to learn the structural organisation of neural circuits from multimodal brain images : application to Gilles de la Tourette syndrome. (Modèles statistiques pour apprendre l'organisation structurelle des circuits neuronaux à partir d'images multimodales du cerveau : application au syndrome de Gilles de la Tourette).
PhD thesis, 2016

Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles.
IEEE Trans. Medical Imaging, 2016

2015
Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
A Prototype Representation to Approximate White Matter Bundles with Weighted Currents.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013


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