2026
Journal articles
- titre
- HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment
- auteur
- Inass Soukarieh, Gerhard Hessler, Hervé Minoux, Marcel Mohr, Friedemann Schmidt, Jan Wenzel, Pierre Barbillon, Hugo Gangloff, Pierre Gloaguen
- article
- Journal of Computational Biology, 2026, 33 (3), pp.281-300. ⟨10.1177/15578666251410587⟩
- identifiant
- hal-05593337
- Resume_court
- Mathematical modeling in systems toxicology enables a comprehensive understanding of the effects of .....
- typdoc
- Journal articles
- DOI
- DOI : 10.1177/15578666251410587
- audience
- International
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2025
Journal articles
- titre
- Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates
- auteur
- Jacob Washburn, José Ignacio Varela, Alencar Xavier, Qiuyue Chen, David Ertl, Joseph Gage, James Holland, Dayane Cristina Lima, Maria Cinta Romay, Marco Lopez-Cruz, Gustavo de los Campos, Wesley Barber, Cristiano Zimmer, Ignacio Trucillo Silva, Fabiani Rocha, Renaud Rincent, Baber Ali, Haixiao Hu, Daniel Runcie, Kirill Gusev, Andrei Slabodkin, Phillip Bax, Julie Aubert, Hugo Gangloff, Tristan Mary-Huard, Theodore Vanrenterghem, Carles Quesada-Traver, Steven Yates, Daniel Ariza-Suárez, Argeo Ulrich, Michele Wyler, Daniel Kick, Emily Bellis, Jason Causey, Emilio Soriano Chavez, Yixing Wang, Ved Piyush, Gayara Fernando, Robert Hu, Rachit Kumar, Annan Timon, Rasika Venkatesh, Kenia Segura Abá, Huan Chen, Thilanka Ranaweera, Shin-Han Shiu, Peiran Wang, Max Gordon, B Kirtley Amos, Sebastiano Busato, Daniel Perondi, Abhishek Gogna, Dennis Psaroudakis, Chun-Peng James Chen, Hawlader Al-Mamun, Monica Danilevicz, Shriprabha Upadhyaya, David Edwards, Natalia de Leon
- article
- Genetics, 2025, 229 (2), ⟨10.1093/genetics/iyae195⟩
- identifiant
- hal-05201508
- Resume_court
- Abstract Predicting phenotypes from a combination of genetic and environmental factors is a grand ch .....
- typdoc
- Journal articles
- DOI
- DOI : 10.1093/genetics/iyae195
- audience
- International
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Conference papers
- titre
- Problèmes inverses et apprentissage informé par la physique
- auteur
- Hugo Gangloff, Nicolas Jouvin
- article
- Journées de statistiques 2025, SFDS, May 2025, Marseille (FR), France
- identifiant
- hal-05295698
- Resume_court
- Dans le contexte des réseaux de neurones informés par la physiques (PINNs), nous cherchons à esti .....
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- Conference papers
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- International
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Poster communications
- titre
- DCVAE: Leveraging Disentangled Representations to PredictUnobserved Genotype-Environment Combinations in PhenomicSelection.
- auteur
- Hugo Gangloff, Do Thanh Dat Le, Renaud Rincent, Julie Aubert, Tristan Mary-Huard
- article
- Eucarpia Biometrics in Plant Breeding 2025, Sep 2025, Edimbourg (GB), United Kingdom
- identifiant
- hal-05292841
- typdoc
- Poster communications
- audience
- International
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Preprints, Working Papers, ...
- titre
- Gaussian Unit-simplex Markov random fields as a fast proxy for MRF sampling
- auteur
- Jean-Baptiste Courbot, Hugo Gangloff
- article
- 2025
- identifiant
- hal-04959471
- Resume_court
- Markov random fields are classical models for Bayesian image modeling, but their sampling relies on .....
- typdoc
- Preprints, Working Papers, ...
- Accès au texte intégral et bibtex
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2024
Journal articles
- titre
- Variational Autoencoder with Gaussian Random Field prior: Application to unsupervised animal detection in aerial images
- auteur
- Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre
- article
- ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 218, pp.600-609. ⟨10.1016/j.isprsjprs.2024.09.028⟩
- identifiant
- hal-04719231
- Resume_court
In real world datasets of aerial images, the objects of interest are often missing, hard to .....
- typdoc
- Journal articles
- DOI
- DOI : 10.1016/j.isprsjprs.2024.09.028
- audience
- International
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- titre
- Leveraging Satellite Data With Machine and Deep Learning Techniques for Corn Yield and Price Forecasting
- auteur
- Florian Teste, Hugo Gangloff, Mathilde Chen, Philippe Ciais, David Makowski
- article
- IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, pp.1-16. ⟨10.1109/TGRS.2024.3448205⟩
- identifiant
- hal-04726240
- typdoc
- Journal articles
- DOI
- DOI : 10.1109/TGRS.2024.3448205
- audience
- International
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Software
- titre
- Jinns
- auteur
- Hugo Gangloff, Nicolas Jouvin
- article
- 2024, ⟨swh:1:dir:d3eebf8f03fd6196ff679e3d611aa24e2b309c92;origin=https://gitlab.com/mia_jinns/jinns;visit=swh:1:snp:0119daccf59ff1bbc35427d6dd16ce2dae345c31;anchor=swh:1:rev:f7f4009700673df79407002361ec34a70e9c302c⟩
- identifiant
- hal-04735256
- Resume_court
- A Python package for Physics-Informed Neural Networks (PINN) in JAX
- typdoc
- Software
- Accès au bibtex
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Preprints, Working Papers, ...
- titre
- jinns: a JAX Library for Physics-Informed Neural Networks
- auteur
- Hugo Gangloff, Nicolas Jouvin
- article
- 2024
- identifiant
- hal-04847347
- Resume_court
- jinns is an open-source Python library for physics-informed neural networks, built to tackle both fo .....
- typdoc
- Preprints, Working Papers, ...
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2023
Journal articles
- titre
- Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data
- auteur
- Hugo Gangloff, Katherine Morales, Yohan Petetin
- article
- Computational Statistics and Data Analysis, 2023, 180, pp.107663. ⟨10.1016/j.csda.2022.107663⟩
- identifiant
- hal-03584314
- Resume_court
- Hidden Markov models are probabilistic graphical models based on hidden and observed random variable .....
- typdoc
- Journal articles
- DOI
- DOI : 10.1016/j.csda.2022.107663
- audience
- International
- Accès au texte intégral et bibtex
-
- titre
- Self-supervised Variational Autoencoder for Unsupervised Object Counting from Very High-Resolution Satellite Imagery: Applications in Dwelling Extraction in FDP Settlement Areas
- auteur
- Getachew Workineh Gella, Hugo Gangloff, Lorenz Wendt, Dirk Tiede, Stefan Lang
- article
- IEEE Transactions on Geoscience and Remote Sensing, 2023, pp.1-1. ⟨10.1109/TGRS.2023.3345179⟩
- identifiant
- hal-04355067
- typdoc
- Journal articles
- DOI
- DOI : 10.1109/TGRS.2023.3345179
- audience
- International
- Accès au bibtex
-
Conference papers
- titre
- Variational Autoencoder with Gaussian Random Field prior: application to unsupervised animal detection in aerial images
- auteur
- Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre
- article
- 2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. pp.1620-1624, ⟨10.1109/ICIP49359.2023.10222900⟩
- identifiant
- hal-03774853
- Resume_court
- In real world datasets of aerial images, the objects of interest are often missing, hard to annotate .....
- typdoc
- Conference papers
- DOI
- DOI : 10.1109/ICIP49359.2023.10222900
- audience
- International
- Accès au texte intégral et bibtex
-
- titre
- Variational Autoencoders for Unsupervised Object Counting from VHR Imagery: Applications in Dwelling Extraction from Forcibly Displaced People Settlement Areas
- auteur
- Getachew Workineh Gella, Hugo Gangloff, Lorenz Wendt, Dirk Tiede, Stefan Lang
- article
- IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Jul 2023, Pasadena, United States. pp.1162-1165, ⟨10.1109/IGARSS52108.2023.10281849⟩
- identifiant
- hal-04253885
- typdoc
- Conference papers
- DOI
- DOI : 10.1109/IGARSS52108.2023.10281849
- audience
- International
- Accès au texte intégral et bibtex
-
- titre
- Weakly Supervised Marine Animal Detection from Remote Sensing Images Using Vector-Quantized Variational Autoencoder
- auteur
- Minh-Tan Pham, Hugo Gangloff, Sébastien Lefèvre
- article
- IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Jul 2023, Pasadena, United States. pp.5559-5562, ⟨10.1109/IGARSS52108.2023.10282672⟩
- identifiant
- hal-04253903
- Resume_court
- This paper studies a reconstruction-based approach for weaklysupervised animal detection from aerial .....
- typdoc
- Conference papers
- DOI
- DOI : 10.1109/IGARSS52108.2023.10282672
- audience
- International
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-
- titre
- Object Counting from Aerial Remote Sensing Images: Application to Wildlife and Marine Mammals
- auteur
- Tanya Singh, Hugo Gangloff, Minh-Tan Pham
- article
- IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Jul 2023, Pasadena, United States. pp.6580-6583, ⟨10.1109/IGARSS52108.2023.10282150⟩
- identifiant
- hal-04253889
- Resume_court
- Anthropogenic activities pose threats to wildlife and marine fauna, prompting the need for efficient .....
- typdoc
- Conference papers
- DOI
- DOI : 10.1109/IGARSS52108.2023.10282150
- audience
- International
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2022
Conference papers
- titre
- Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection
- auteur
- Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre
- article
- 2022 26th International Conference on Pattern Recognition (ICPR), Aug 2022, Montreal, Canada. pp.435-441, ⟨10.1109/ICPR56361.2022.9956102⟩
- identifiant
- hal-03991178
- typdoc
- Conference papers
- DOI
- DOI : 10.1109/ICPR56361.2022.9956102
- audience
- International
- Accès au bibtex
-
- titre
- Autoencodeurs variationnels à registre de vecteurs pour la détection d'anomalies
- auteur
- Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre
- article
- RFIAP 2022 - (Congrès Reconnaissance des Formes, Image, Apprentissage et Perception), Jul 2022, Vannes, France
- identifiant
- hal-03697359
- Resume_court
- La Détection d'Anomalies (AD) en contexte non-supervisé est une thématique de recherche important .....
- typdoc
- Conference papers
- audience
- International
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Preprints, Working Papers, ...
- titre
- Chaînes de Markov cachées à bruit généralisé
- auteur
- Hugo Gangloff, Katherine Morales, Yohan Petetin
- article
- 2022
- identifiant
- hal-03698101
- Resume_court
- Hidden Markov chains are popular models for unsupervised signal processing in a Bayesian context. We .....
- typdoc
- Preprints, Working Papers, ...
- Accès au texte intégral et bibtex
-
- titre
- Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection
- auteur
- Hugo Gangloff, Minh-Tan Pham, Luc Courtrai, Sébastien Lefèvre
- article
- 2022
- identifiant
- hal-03541964
- Resume_court
- Anomaly Detection (AD) is an important research topic, with very diverse applications such as indust .....
- typdoc
- Preprints, Working Papers, ...
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2021
Journal articles
- titre
- Unsupervised image segmentation with Gaussian Pairwise Markov Fields
- auteur
- Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet
- article
- Computational Statistics and Data Analysis, 2021, 158, pp.107178:1-107178:20. ⟨10.1016/j.csda.2021.107178⟩
- identifiant
- hal-03104832
- Resume_court
- Modeling strongly correlated random variables is a critical task in the context of latent variable m .....
- typdoc
- Journal articles
- DOI
- DOI : 10.1016/j.csda.2021.107178
- audience
- International
- Accès au texte intégral et bibtex
-
- titre
- Co-Registration of Peripheral Atherosclerotic Plaques Assessed by Conventional CT Angiography, MicroCT and Histology in Patients with Chronic Limb Threatening Ischaemia
- auteur
- Salomé Kuntz, Hiroyuki Jinnouchi, Matthew Kutyna, Sho Torii, Anne Cornelissen, Atsushi Sakamoto, Yu Sato, Daniela T Fuller, Adeline Schwein, Mickaël Ohana, Hugo Gangloff, Anne Lejay, Aloke V Finn, Nabil Chakfé, Renu Virmani
- article
- European Journal of Vascular and Endovascular Surgery, 2021, 60 (1), pp.146-154. ⟨10.1016/j.ejvs.2020.08.037⟩
- identifiant
- hal-03243962
- typdoc
- Journal articles
- DOI
- DOI : 10.1016/j.ejvs.2020.08.037
- audience
- Not specified
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Preprints, Working Papers, ...
- titre
- A GENERAL PARAMETRIZATION FRAMEWORK FOR PAIRWISE MARKOV MODELS: AN APPLICATION TO UNSUPERVISED IMAGE SEGMENTATION
- auteur
- Hugo Gangloff, Katherine Morales, Yohan Petetin
- article
- 2021
- identifiant
- hal-03181237
- Resume_court
- Probabilistic graphical models such as Hidden Markov models have found many applications in signal p .....
- typdoc
- Preprints, Working Papers, ...
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2020
Journal articles
- titre
- Correlation between the clinical scanner, the micro-scanner and the histopathology of popliteal arteries in critical ischemia
- auteur
- Salomé Kuntz, Hiroyuki Jinnouchi, Matthew Kutyna, Sho Torii, Anne Cornelissen, Atsushi Sakamoto, Yu Satoh, Daniela T. Fuller, Adeline Schwein, Mickaël Ohana, Hugo Gangloff, Anne-Catherine Lejay, Aloke V. Finn, Nabil Chakfé, Renu Virmani
- article
- Annals of Vascular Surgery, 2020, 68, ⟨10.1016/j.avsg.2020.08.056⟩
- identifiant
- hal-04885048
- typdoc
- Journal articles
- DOI
- DOI : 10.1016/j.avsg.2020.08.056
- audience
- International
- Accès au bibtex
-
Conference papers
- titre
- Unsupervised segmentation of stents corrupted by artifacts in medical X-ray images
- auteur
- Hugo Gangloff, Emmanuel Monfrini, Christophe Collet, Nabil Chakfe
- article
- IPTA 2020: 10th international conference on Image Processing Theory, Tools and Applications, Nov 2020, Paris, France. pp.1-6, ⟨10.1109/IPTA50016.2020.9286660⟩
- identifiant
- hal-03122418
- Resume_court
- We propose a new methodology for the segmentation of stents in 3D X-ray acquisitions. Such data are .....
- typdoc
- Conference papers
- DOI
- DOI : 10.1109/IPTA50016.2020.9286660
- audience
- International
- Accès au texte intégral et bibtex
-
- titre
- Improved centerline tracking for new descriptors of atherosclerotic aortas
- auteur
- Hugo Gangloff, Emmanuel Monfrini, Mohamed Zied Ghariani, Mickaël Ohana, Christophe Collet, Nabil Chakfé
- article
- IPTA 2020: 10th international conference on Image Processing Theory, Tools and Applications, Nov 2020, Paris, France. pp.1-6, ⟨10.1109/IPTA50016.2020.9286688⟩
- identifiant
- hal-03122420
- Resume_court
- To develop more patient specific treatments we need to collect and understand a growing set of data .....
- typdoc
- Conference papers
- DOI
- DOI : 10.1109/IPTA50016.2020.9286688
- audience
- International
- Accès au texte intégral et bibtex
-
- titre
- Spatial Triplet Markov Trees for auxiliary variational inference in Spatial Bayes Networks
- auteur
- Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet
- article
- SMTDA 2020: 6th international conference on Stochastic Modeling Techniques and Data Analysis, Jun 2020, Barcelone (online), Spain. pp.237-249
- identifiant
- hal-03122810
- Resume_court
- In this article, we develop a Triplet Markov Tree model with auxiliary random variables for an appro .....
- typdoc
- Conference papers
- audience
- International
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-
Theses
- titre
- Probabilistic models for image processing: applications in vascular surgery
- auteur
- Hugo Gangloff
- article
- Medical Imaging. Université de Strasbourg, 2020. English. ⟨NNT : 2020STRAD042⟩
- identifiant
- tel-03147834
- Resume_court
- The work presented in this thesis deals with medical image segmentation in the field of vascular sur .....
- typdoc
- Theses
- Accès au texte intégral et bibtex
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2019
Conference papers
- titre
- Segmentation de stents dans des données médicales à rayons-X corrompues par les artéfacts
- auteur
- Hugo Gangloff, Emmanuel Monfrini, Christophe Collet, Nabil Chakfe
- article
- GRETSI 2019: XXVIIème colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. pp.917-920
- identifiant
- hal-03228239
- Resume_court
- We propose a new methodology for the segmentation of stents in 3D X-rays acquisitions. Such data are .....
- typdoc
- Conference papers
- audience
- International
- Accès au texte intégral et bibtex
-
- titre
- Segmentation non-supervisée dans les champs de Markov couples gaussiens
- auteur
- Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet
- article
- GRETSI 2019: XXVIIème colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. pp.177-180
- identifiant
- hal-03228240
- Resume_court
- We present a new probabilistic latent. variable model to characterize strong correlations. A robust .....
- typdoc
- Conference papers
- audience
- International
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2018
Journal articles
- titre
- Assessing the segmentation performance of pairwise and triplet Markov models
- auteur
- Ivan Gorynin, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski
- article
- Signal Processing, 2018, 145, pp.183 - 192. ⟨10.1016/j.sigpro.2017.12.006⟩
- identifiant
- hal-01681354
- Resume_court
- The hidden Markov models (HMMs) are state-space models widely applied in time series analysis. Well- .....
- typdoc
- Journal articles
- DOI
- DOI : 10.1016/j.sigpro.2017.12.006
- audience
- International
- Accès au bibtex
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2016
Journal articles
- titre
- Performance comparison across hidden, pairwise and triplet Markov model's estimators
- auteur
- Ivan Gorynin, Laurent Crelier, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski
- article
- International journal of mathematical and computational methods (IJMCM), 2016, 1, pp.253 - 258
- identifiant
- hal-01461636
- Resume_court
- In a hidden Markov model (HMM), one observes a sequence of emissions (Y) but lacks a Markovian seque .....
- typdoc
- Journal articles
- audience
- International
- Accès au bibtex
-