1 code implementation • 19 Feb 2024 • Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
Then, we motivate a novel Mutual Information minimization strategy to prevent information leakage between common and salient distributions.
1 code implementation • 31 Jan 2024 • Florence Carton, Robin Louiset, Pietro Gori
Experimental results on four visual datasets, from simple synthetic examples to complex medical images, show that the proposed method outperforms SOTA CA-VAEs in terms of latent separation and image quality.
no code implementations • 22 Aug 2023 • Rebeca Vétil, Clément Abi-Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
We address the problem of learning Deep Learning Radiomics (DLR) that are not redundant with Hand-Crafted Radiomics (HCR).
1 code implementation • 18 Aug 2023 • Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch
Early diagnosis of prostate cancer is crucial for efficient treatment.
1 code implementation • 12 Jul 2023 • Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
Contrastive Analysis VAE (CA-VAEs) is a family of Variational auto-encoders (VAEs) that aims at separating the common factors of variation between a background dataset (BG) (i. e., healthy subjects) and a target dataset (TG) (i. e., patients) from the ones that only exist in the target dataset.
1 code implementation • 10 Jul 2023 • Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Large medical imaging datasets can be cheaply and quickly annotated with low-confidence, weak labels (e. g., radiological scores).
no code implementations • 16 Feb 2023 • Emma Sarfati, Alexandre Bone, Marc-Michel Rohe, Pietro Gori, Isabelle Bloch
Identifying cirrhosis is key to correctly assess the health of the liver.
1 code implementation • 14 Nov 2022 • Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
Building accurate Deep Learning (DL) models for brain age prediction is a very relevant topic in neuroimaging, as it could help better understand neurodegenerative disorders and find new biomarkers.
1 code implementation • 10 Nov 2022 • Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
In this work, we tackle the problem of learning representations that are robust to biases.
no code implementations • 21 Oct 2022 • Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Roheé, Pietro Gori, Isabelle Bloch
We propose a scalable and data-driven approach to learn shape distributions from large databases of healthy organs.
no code implementations • 4 Oct 2022 • Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch
Anatomical structures such as blood vessels in contrast-enhanced CT (ceCT) images can be challenging to segment due to the variability in contrast medium diffusion.
no code implementations • 27 Jul 2022 • Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch
Following previous works that introduce a small amount of supervision, we propose a framework to find optimal transformations for contrastive learning using a differentiable transformation network.
1 code implementation • 6 Jul 2022 • Mateus Riva, Pietro Gori, Florian Yger, Isabelle Bloch
CNNs are often assumed to be capable of using contextual information about distinct objects (such as their directional relations) inside their receptive field.
1 code implementation • 3 Jun 2022 • Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
To this end, we use kernel theory to propose a novel loss, called decoupled uniformity, that i) allows the integration of prior knowledge and ii) removes the negative-positive coupling in the original InfoNCE loss.
no code implementations • 12 May 2022 • Robin Kips, Ruowei Jiang, Sileye Ba, Brendan Duke, Matthieu Perrot, Pietro Gori, Isabelle Bloch
In this paper we propose a novel framework based on deep learning to build a real-time inverse graphics encoder that learns to map a single example image into the parameter space of a given augmented reality rendering engine.
no code implementations • 8 Feb 2022 • Robin Kips, Panagiotis-Alexandros Bokaris, Matthieu Perrot, Pietro Gori, Isabelle Bloch
Since rendering realistic hair images requires path-tracing rendering, the conventional inverse graphics approach based on differentiable rendering is untractable.
no code implementations • 1 Feb 2022 • Matthis Maillard, Anton François, Joan Glaunès, Isabelle Bloch, Pietro Gori
In medical imaging, most of the image registration methods implicitly assume a one-to-one correspondence between the source and target images (i. e., diffeomorphism).
no code implementations • 10 Nov 2021 • Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay
However, a particularity of medical images is the availability of meta-data (such as age or sex) that can be exploited for learning representations.
1 code implementation • 21 Jul 2021 • Ninon Burgos, Mauricio Díaz, 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, Alexandre Routier, Olivier Colliot
It relies on the brain imaging data structure (BIDS) for the organization of raw neuroimaging datasets and on established tools written by the community to build its pipelines.
no code implementations • 6 Jul 2021 • Giammarco La Barbera, Pietro Gori, Haithem Boussaid, Bruno Belucci, Alessandro Delmonte, Jeanne Goulin, Sabine Sarnacki, Laurence Rouet, Isabelle Bloch
Due to a high heterogeneity in pose and size and to a limited number of available data, segmentation of pediatric images is challenging for deep learning methods.
1 code implementation • 5 Jul 2021 • Mateus Riva, Florian Yger, Pietro Gori, Roberto M. Cesar Jr., Isabelle Bloch
We propose a novel graph clustering method guided by additional information on the underlying structure of the clusters (or communities).
no code implementations • 5 Jul 2021 • Jean Feydy, Pierre Roussillon, Alain Trouvé, Pietro Gori
The parameters -- blur and reach -- of our method are meaningful, defining the minimum and maximum distance at which two fibers are compared with each other.
1 code implementation • 5 Jul 2021 • Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
Our method is generic, it can integrate any clustering method and can be driven by both binary classification and regression.
no code implementations • 17 Jun 2021 • Minhao Hu, Matthis Maillard, Ya zhang, Tommaso Ciceri, Giammarco La Barbera, Isabelle Bloch, Pietro Gori
In this paper, we propose KD-Net, a framework to transfer knowledge from a trained multi-modal network (teacher) to a mono-modal one (student).
2 code implementations • 16 Jun 2021 • Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay
Traditional supervised learning with deep neural networks requires a tremendous amount of labelled data to converge to a good solution.
1 code implementation • 16 Jun 2021 • Anton François, Pietro Gori, Joan Glaunès
In this paper, we propose an implementation of both Large Deformation Diffeomorphic Metric Mapping (LDDMM) and Metamorphosis image registration using a semi-Lagrangian scheme for geodesic shooting.
1 code implementation • 2 Jun 2021 • Benoit Dufumier, Pietro Gori, Ilaria Battaglia, Julie Victor, Antoine Grigis, Edouard Duchesnay
Moreover, we showed that linear models perform comparably with SOTA CNN on VBM data.
no code implementations • 12 May 2021 • Robin Kips, Ruowei Jiang, Sileye Ba, Edmund Phung, Parham Aarabi, Pietro Gori, Matthieu Perrot, Isabelle Bloch
While makeup virtual-try-on is now widespread, parametrizing a computer graphics rendering engine for synthesizing images of a given cosmetics product remains a challenging task.
no code implementations • 22 Feb 2021 • Mateus Riva, Pietro Gori, Florian Yger, Roberto Cesar, Isabelle Bloch
Several relations can be modeled as a morphological dilation of a reference object with a structuring element representing the semantics of the relation, from which the degree of satisfaction of the relation between another object and the reference object can be derived.
no code implementations • 24 Aug 2020 • Robin Kips, Pietro Gori, Matthieu Perrot, Isabelle Bloch
While existing makeup style transfer models perform an image synthesis whose results cannot be explicitly controlled, the ability to modify makeup color continuously is a desirable property for virtual try-on applications.
no code implementations • 18 Sep 2017 • Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers
We use it to cluster fibers with a dictionary learning and sparse coding-based framework, and present a preliminary analysis using HCP data.
1 code implementation • 4 Aug 2017 • Emanuele Olivetti, Giulia Bertò, Pietro Gori, Nusrat Sharmin, Paolo Avesani
For these reasons, in this work we compare many streamline distance functions available in the literature.