Binary partition tree as a hyperspectral segmentation tool for tropical rainforests. - Guillaume Tochon; Jean-Baptiste Féret; Roberta E. Martin; Raul Tupayachi; Jocelyn Chanussot; Gregory P. Asner (IGARSS, 2012)

Hyperspectral image segmentation using a new spectral mixture-based binary partition tree representation. - Miguel Angel Veganzones; Guillaume Tochon; Mauro Dalla Mura; Antonio J. Plaza; Jocelyn Chanussot (ICIP, 2013)

A comparison study between windowing and binary partition trees for hyperspectral image information mining. - Miguel Angel Veganzones; Guillaume Tochon; Mauro Dalla Mura; Antonio J. Plaza; Jocelyn Chanussot (IGARSS, 2013)

Binary partition tree-based local spectral unmixing. - Lucas Drumetz; Miguel Angel Veganzones; Ruben Marrero; Guillaume Tochon; Mauro Dalla Mura; Antonio Plaza; Jocelyn Chanussot (WHISPERS, 2014)

Gas plume detection and tracking in hyperspectral video sequences using Binary Partition Trees. - Guillaume Tochon; Jocelyn Chanussot; Jérôme Gilles; Mauro Dalla Mura; Jen-Mei Chang; Andrea L. Bertozzi (WHISPERS, 2014)

A new extended linear mixing model to address spectral variability. - Miguel Angel Veganzones; Lucas Drumetz; Guillaume Tochon; Mauro Dalla Mura; Antonio Plaza; José M. Bioucas-Dias; Jocelyn Chanussot (WHISPERS, 2014)

Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation. - Miguel Angel Veganzones; Guillaume Tochon; Mauro Dalla Mura; Antonio J. Plaza; Jocelyn Chanussot (IEEE Trans. Image Process., 2014)

Segmentation of Multimodal Images Based on Hierarchies of Partitions. - Guillaume Tochon; Mauro Dalla Mura; Jocelyn Chanussot (ISMM, 2015)

Binary Partition Trees-Based Spectral-Spatial Permutation Ordering. - Miguel Angel Veganzones; Mauro Dalla Mura; Guillaume Tochon; Jocelyn Chanussot (ISMM, 2015)

From local to global unmixing of hyperspectral images to reveal spectral variability. - Guillaume Tochon; Lucas Drumetz; Miguel Angel Veganzones; Mauro Dalla Mura; Jocelyn Chanussot (WHISPERS, 2016)

Unmixing-based gas plume tracking in LWIR hyperspectral video sequences. - Guillaume Tochon; Delphine Pauwels; Mauro Dalla Mura; Jocelyn Chanussot (WHISPERS, 2016)

Hyperspectral Local Intrinsic Dimensionality. - Lucas Drumetz; Miguel Angel Veganzones; Ruben Marrero Gomez; Guillaume Tochon; Mauro Dalla Mura; Giorgio A. Licciardi; Christian Jutten; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2016)

Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity. - Lucas Drumetz; Guillaume Tochon; Jocelyn Chanussot; Christian Jutten (LVA/ICA, 2017)

Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression. - Lucas Drumetz; Guillaume Tochon; Miguel Angel Veganzones; Jocelyn Chanussot; Christian Jutten (ICASSP, 2017)

Object Tracking by Hierarchical Decomposition of Hyperspectral Video Sequences: Application to Chemical Gas Plume Tracking. - Guillaume Tochon; Jocelyn Chanussot; Mauro Dalla Mura; Andrea L. Bertozzi (IEEE Trans. Geosci. Remote. Sens., 2017)

A First Step Toward a Fair Comparison of Evaluation Protocols for Text Detection Algorithms. - Aliona Dangla; Élodie Puybareau; Guillaume Tochon; Jonathan Fabrizio (DAS, 2018)

Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure. - Élodie Puybareau; Guillaume Tochon; Joseph Chazalon; Jonathan Fabrizio (BrainLes@MICCAI (2), 2018)

Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures. - Nicolas Boutry; Joseph Chazalon; Élodie Puybareau; Guillaume Tochon; Hugues Talbot; Thierry Géraud (BrainLes@MICCAI (1), 2019)

Two Stages CNN-Based Segmentation of Gliomas, Uncertainty Quantification and Prediction of Overall Patient Survival. - Thibault Buatois; Élodie Puybareau; Guillaume Tochon; Joseph Chazalon (BrainLes@MICCAI (2), 2019)

Estimating the Noise Level Function with the Tree of Shapes and Non-parametric Statistics. - Baptiste Esteban; Guillaume Tochon; Thierry Géraud (CAIP (2), 2019)

Motion Compensation In Digital Holography For Retinal Imaging. - Julie Rivet; Guillaume Tochon; Serge Meimon; Michel Pâques; Thierry Géraud; Michael Atlan (ISBI, 2019)

Constructing a Braid of Partitions from Hierarchies of Partitions. - Guillaume Tochon; Mauro Dalla Mura; Jocelyn Chanussot (ISMM, 2019)

Braids of partitions for the hierarchical representation and segmentation of multimodal images. - Guillaume Tochon; Mauro Dalla Mura; Miguel Angel Veganzones; Thierry Géraud; Jocelyn Chanussot (Pattern Recognit., 2019)

Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. - Lucas Drumetz; Mauro Dalla Mura; Guillaume Tochon; Ronan Fablet (ICASSP, 2020)

On Some Associations Between Mathematical Morphology and Artificial Intelligence. - Isabelle Bloch; Samy Blusseau; Ramón Pino Pérez; Élodie Puybareau; Guillaume Tochon (DGMM, 2021)

Stability of the Tree of Shapes to Additive Noise. - Nicolas Boutry; Guillaume Tochon (DGMM, 2021)

Going Beyond p-convolutions to Learn Grayscale Morphological Operators. - Alexandre Kirszenberg; Guillaume Tochon; Élodie Puybareau; Jesús Angulo (DGMM, 2021)

Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions using Residual Neural Networks. - Joaquim Estopinan; Guillaume Tochon; Lucas Drumetz (EUSIPCO, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

The Cost of Dynamism in Static Languages for Image Processing. - Baptiste Esteban; Edwin Carlinet; Guillaume Tochon; Didier Verna (GPCE, 2022)

Estimation of the noise level function for color images using mathematical morphology and non-parametric statistics. - Baptiste Esteban; Guillaume Tochon; Edwin Carlinet; Didier Verna (ICPR, 2022)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

Learning Grayscale Mathematical Morphology with Smooth Morphological Layers. - Romain Hermary; Guillaume Tochon; Élodie Puybareau; Alexandre Kirszenberg; Jesús Angulo (J. Math. Imaging Vis., 2022)

Structural Analysis of the Additive Noise Impact on the α -tree. - Baptiste Esteban; Guillaume Tochon; Edwin Carlinet; Didier Verna (CAIP (2), 2023)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Learning Sentinel-2 Reflectance Dynamics for Data-Driven Assimilation and Forecasting. - Anthony Frion; Lucas Drumetz; Guillaume Tochon; Mauro Dalla Mura; Abdeldjalil Aïssa-El-Bey (EUSIPCO, 2023)

Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data. - Anthony Frion; Lucas Drumetz; Mauro Dalla Mura; Guillaume Tochon; Abdeldjalil Aïssa-El-Bey (ICASSP, 2023)

Koopman Ensembles for Probabilistic Time Series Forecasting. - Anthony Frion; Lucas Drumetz; Guillaume Tochon; Mauro Dalla Mura; Abdeldjalil Aïssa-El-Bey (EUSIPCO, 2024)

Neural Koopman Prior for Data Assimilation. - Anthony Frion; Lucas Drumetz; Mauro Dalla Mura; Guillaume Tochon; Abdeldjalil Aïssa-El-Bey (IEEE Trans. Signal Process., 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

Augmented Invertible Koopman Autoencoder for long-term time series forecasting. - Anthony Frion; Lucas Drumetz; Mauro Dalla Mura; Guillaume Tochon; Abdeldjalil Aïssa-El-Bey (Trans. Mach. Learn. Res., 2025)