Pietro Gori

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 71

Top Venues

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Florence Carton, Robin Louiset, Pietro Gori
Double InfoGAN for Contrastive Analysis. CoRR (2024)
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
Separating common from salient patterns with Contrastive Representation Learning. ICLR (2024)
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
Separating common from salient patterns with Contrastive Representation Learning. CoRR (2024)
Florence Carton, Robin Louiset, Pietro Gori
Double InfoGAN for Contrastive Analysis. AISTATS (2024)
Benoit Dufumier, Pietro Gori, Sara Petiton, Robin Louiset, Jean-François Mangin, Antoine Grigis, Edouard Duchesnay
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry. NeuroImage 296 (2024)
Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
Contrastive Learning for Regression in Multi-Site Brain Age Prediction. ISBI (2023)
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
Unbiased Supervised Contrastive Learning. ICLR (2023)
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. CoRR (2023)
Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch
Decoupled Conditional Contrastive Learning with Variable Metadata for Prostate Lesion Detection. MILLanD@MICCAI (2023)
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
Integrating Prior Knowledge in Contrastive Learning with Kernel. ICML (2023)
Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CaPTion@MICCAI (2023)
Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies. ISBI (2023)
Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch
Decoupled conditional contrastive learning with variable metadata for prostate lesion detection. CoRR (2023)
Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Weakly-supervised positional contrastive learning: application to cirrhosis classification. CoRR (2023)
Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Learning to diagnose cirrhosis from radiological and histological labels with joint self and weakly-supervised pretraining strategies. CoRR (2023)
Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CoRR (2023)
Carlo Alberto Barbano, Edouard Duchesnay, Benoit Dufumier, Pietro Gori, Marco Grangetto
Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging. Ital-IA (2023)
Giammarco La Barbera, Laurence Rouet, Haithem Boussaid, Alexis Lubet, Rani Kassir, Sabine Sarnacki, Pietro Gori, Isabelle Bloch
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement. Medical Image Anal. 90 (2023)
Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification. MICCAI (1) (2023)
Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection. CoRR (2022)
Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection. MICCAI (2) (2022)
Robin Kips, Panagiotis-Alexandros Bokaris, Matthieu Perrot, Pietro Gori, Isabelle Bloch
Hair Color Digitization through Imaging and Deep Inverse Graphics. CoRR (2022)
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
Unbiased Supervised Contrastive Learning. CoRR (2022)
Mateus Riva, Pietro Gori, Florian Yger, Isabelle Bloch
Is the U-NET Directional-Relationship Aware? ICIP (2022)
Matthis Maillard, François Anton, Joan Glaunès, Isabelle Bloch, Pietro Gori
A Deep Residual Learning Implementation of Metamorphosis. ISBI (2022)
Matthis Maillard, François Anton, Joan Glaunès, Isabelle Bloch, Pietro Gori
A deep residual learning implementation of Metamorphosis. CoRR (2022)
François Anton, Matthis Maillard, Catherine Oppenheim, Johan Pallud, Isabelle Bloch, Pietro Gori, Joan Glaunès
Weighted Metamorphosis for Registration of Images with Different Topologies. WBIR (2022)
Rebeca Vétil, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors. ISBI (2022)
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
Rethinking Positive Sampling for Contrastive Learning with Kernel. CoRR (2022)
Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch
Optimizing transformations for contrastive learning in a differentiable framework. CoRR (2022)
Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch
Optimizing Transformations for Contrastive Learning in a Differentiable Framework. MILLanD@MICCAI (2022)
Robin Kips, Ruowei Jiang, Sileye O. Ba, Brendan Duke, Matthieu Perrot, Pietro Gori, Isabelle Bloch
Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers. CoRR (2022)
Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation. CoRR (2022)
Mateus Riva, Pietro Gori, Florian Yger, Isabelle Bloch
Is the U-Net Directional-Relationship Aware? CoRR (2022)
Robin Kips, Panagiotis-Alexandros Bokaris, Matthieu Perrot, Pietro Gori, Isabelle Bloch
Hair color digitization through imaging and deep inverse graphics. Image Processing: Algorithms and Systems (2022)
Robin Kips, Ruowei Jiang, Sileye O. Ba, Brendan Duke, Matthieu Perrot, Pietro Gori, Isabelle Bloch
Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers. Comput. Graph. Forum 41 (2) (2022)
Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation. BMVC (2022)
Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
Contrastive learning for regression in multi-site brain age prediction. CoRR (2022)
Minhao Hu, Matthis Maillard, Ya Zhang, Tommaso Ciceri, Giammarco La Barbera, Isabelle Bloch, Pietro Gori
Knowledge distillation from multi-modal to mono-modal segmentation networks. CoRR (2021)
Robin Kips, Ruowei Jiang, Sileye Ba, Edmund Phung, Parham Aarabi, Pietro Gori, Matthieu Perrot, Isabelle Bloch
Deep Graphics Encoder for Real-Time Video Makeup Synthesis From Example. CVPR Workshops (2021)
Benoit Dufumier, Pietro Gori, Ilaria Battaglia, Julie Victor, Antoine Grigis, Edouard Duchesnay
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning. CoRR (2021)
Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels. CoRR (2021)
Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification. CoRR (2021)
François Anton, Pietro Gori, Joan Glaunès
Metamorphic image registration using a semi-Lagrangian scheme. CoRR (2021)
Alexandre Routier, Ninon Burgos, Mauricio Diaz-Melo, Michael Bacci, Simona Bottani, Omar El-Rifai, Sabrina Fontanella, Pietro Gori, Jérémy Guillon, Alexis Guyot, Ravi Hassanaly, Thomas Jacquemont, Pascal Lu, Arnaud Marcoux, Tristan Moreau, Jorge Samper-González, Marc Teichmann, Elina Thibeau-Sutre, Ghislain Vaillant, Junhao Wen, Adam Wild, Marie Odile Habert, Stanley Durrleman, Olivier Colliot
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. Frontiers Neuroinformatics 15 (2021)
Mateus Riva, Florian Yger, Pietro Gori, Roberto M. Cesar Jr., Isabelle Bloch
Template-Based Graph Clustering. CoRR (2021)
Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning. CoRR (2021)
François Anton, Pietro Gori, Joan Glaunès
Metamorphic Image Registration Using a Semi-lagrangian Scheme. GSI (2021)
Giammarco La Barbera, Pietro Gori, Haithem Boussaid, Bruno Belucci, Alessandro Delmonte, Jeanne Goulin, Sabine Sarnacki, Laurence Rouet, Isabelle Bloch
Automatic Size And Pose Homogenization With Spatial Transformer Network To Improve And Accelerate Pediatric Segmentation. ISBI (2021)
Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning. ECML/PKDD (1) (2021)
Robin Kips, Ruowei Jiang, Sileye Ba, Edmund Phung, Parham Aarabi, Pietro Gori, Matthieu Perrot, Isabelle Bloch
Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example. CoRR (2021)
Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Mary L. Phillips, Lisa Eyler, Edouard Duchesnay
Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification. MICCAI (2) (2021)
Giammarco La Barbera, Pietro Gori, Haithem Boussaid, Bruno Belucci, Alessandro Delmonte, Jeanne Goulin, Sabine Sarnacki, Laurence Rouet, Isabelle Bloch
Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation. CoRR (2021)
Jean Feydy, Pierre Roussillon, Alain Trouvé, Pietro Gori
Fast and Scalable Optimal Transport for Brain Tractograms. CoRR (2021)
Mateus Riva, Pietro Gori, Florian Yger, Roberto Marcondes Cesar Junior, Isabelle Bloch
Approximation of dilation-based spatial relations to add structural constraints in neural networks. CoRR (2021)
Minhao Hu, Matthis Maillard, Ya Zhang, Tommaso Ciceri, Giammarco La Barbera, Isabelle Bloch, Pietro Gori
Knowledge Distillation from Multi-modal to Mono-modal Segmentation Networks. MICCAI (1) (2020)
Corentin Mercier, Sylvain Rousseau, Pietro Gori, Isabelle Bloch, Tamy Boubekeur
QFib: Fast and Efficient Brain Tractogram Compression. Neuroinformatics 18 (4) (2020)
Robin Kips, Pietro Gori, Matthieu Perrot, Isabelle Bloch
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer. CoRR (2020)
Alessio Virzì, Cécile Olivia Muller, Jean-Baptiste Marret, Eva Mille, Laureline Berteloot, David Grévent, Nathalie Boddaert, Pietro Gori, Sabine Sarnacki, Isabelle Bloch
Comprehensive Review of 3D Segmentation Software Tools for MRI Usable for Pelvic Surgery Planning. J. Digit. Imaging 33 (1) (2020)
Emanuele Olivetti, Pietro Gori, Pietro Astolfi, Giulia Bertò, Paolo Avesani
Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem. WBIR (2020)
Robin Kips, Pietro Gori, Matthieu Perrot, Isabelle Bloch
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer. ECCV Workshops (3) (2020)
Alessandro Delmonte, Corentin Mercier, Johan Pallud, Isabelle Bloch, Pietro Gori
White Matter Multi-Resolution Segmentation Using Fuzzy Set Theory. ISBI (2019)
Jean Feydy, Pierre Roussillon, Alain Trouvé, Pietro Gori
Fast and Scalable Optimal Transport for Brain Tractograms. MICCAI (3) (2019)
Alessio Virzì, Pietro Gori, Cécile Olivia Muller, Eva Mille, Q. Peyrot, Laureline Berteloot, Nathalie Boddaert, Sabine Sarnacki, Isabelle Bloch
Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach. DATRA/PIPPI@MICCAI (2018)
Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman
Double Diffeomorphism: Combining Morphometry and Structural Connectivity Analysis. IEEE Trans. Medical Imaging 37 (9) (2018)
Corentin Mercier, Pietro Gori, Damien Rohmer, Marie-Paule Cani, Tamy Boubekeur, Jean-Marc Thiery, Isabelle Bloch
Progressive and Efficient Multi-Resolution Representations for Brain Tractograms. VCBM@MICCAI (2018)
Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers
White Matter Fiber Segmentation Using Functional Varifolds. GRAIL/MFCA/MICGen@MICCAI (2017)
Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman
A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes. Medical Image Anal. 35 (2017)
Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers
White Matter Fiber Segmentation Using Functional Varifolds. CoRR (2017)
Emanuele Olivetti, Giulia Berto, Pietro Gori, Nusrat Sharmin, Paolo Avesani
Comparison of distances for supervised segmentation of white matter tractography. PRNI (2017)
Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, Mario Chavez, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman
Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles. IEEE Trans. Medical Imaging 35 (12) (2016)
Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman
Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms. IPMI (2015)
Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, Mario Chavez, Sophie Lecomte, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman
A Prototype Representation to Approximate White Matter Bundles with Weighted Currents. MICCAI (3) (2014)
Pietro Gori, Olivier Colliot, Yulia Worbe, Linda Marrakchi-Kacem, Sophie Lecomte, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman
Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes. MICCAI (1) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pietro Gori