GT
Guillaume Tochon
cs.LGeess.IVcs.CVcs.AISegmentationstat.MLAlgorithmsAutomatedBrainBrain Tumors
On Valency
published · living versionsW_ctyr365s·v1 · currentpublished
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
with Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer +422
1 version
Preprints & journals
15 papers in the corpus · 2014–2026Variational Augmented Invertible Koopman Autoencoder for probabilistic time series forecasting2609.37435v1 · Anthony Frion, Lucas Drumetz, Guillaume Tochon et al.2026 · 0 citationsarXiv
Augmented Invertible Koopman Autoencoder for long-term time series forecasting2503.12930v2 · Anthony Frion, Lucas Drumetz, Mauro Dalla Mura (GIPSA-SIGMAPHY) et al.2025 · 0 citationsTransactions on Machine Learning Research Journal, 2025
Koopman Ensembles for Probabilistic Time Series Forecasting2403.06757v2 · Anthony Frion, Lucas Drumetz, Guillaume Tochon et al.2024 · 2 citationsarXiv
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.37988921 · Sudre, Carole H, Van Wijnen, Kimberlin, Dubost, Florian et al.2023 · 44 citationsMedical image analysis. 2024;91:103029
Neural Koopman prior for data assimilation2309.05317v3 · Anthony Frion, Lucas Drumetz, Mauro Dalla Mura et al.2023 · 4 citationsarXiv
Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecasting2305.03743v1 · Anthony Frion, Lucas Drumetz, Guillaume Tochon et al.2023 · 2 citationsarXiv
Why is the winner the best?2303.17719v1 · Matthias Eisenmann, Annika Reinke, Vivienn Weru et al.2023 · 8 citationsarXiv
Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data2303.06972v1 · Anthony Frion, Lucas Drumetz, Mauro Dalla Mura (IUF et al.2023 · 3 citationsarXiv
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.36998700 · Mehta, Raghav, Filos, Angelos, Baid, Ujjwal et al.2024 · 61 citationsThe journal of machine learning for biomedical imaging. 2022;2022
Going beyond p-convolutions to learn grayscale morphological operators2102.10038v1 · Alexandre Kirszenberg, Guillaume Tochon, Elodie Puybareau et al.2021 · 21 citationsarXiv
Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions Using Residual Neural Networks2011.08746v2 · Joaquim Estopinan, Guillaume Tochon, Lucas Drumetz2020 · 1 citationarXiv
Experimental digital Gabor hologram rendering by a model-trained convolutional neural network2004.09126v1 · J. Rivet, A. Taliercio, C. Fang et al.2020 · 0 citationsarXiv
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using a State-Space Model Formulation1911.12020v1 · Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon et al.2019 · 8 citationsarXiv
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge1811.02629v3 · Spyridon Bakas, Mauricio Reyes, Andras Jakab et al.2018 · 1,441 citationsarXivon Valency
Hyperspectral image segmentation using a new spectral unmixing-based binary partition tree representation.24951694 · Veganzones, Miguel A, Tochon, Guillaume, Dalla-Mura, Mauro et al.2015 · 95 citationsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2014;23(8):3574-3589
Career total: 64 works. 15 are in this corpus.
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