Guillaume Tochon

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 34

Top Topics

Multimodal Images

Mathematical Morphology

Top Venues

Publications

Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Albdeldjalil Aïssa El Bey
Koopman Ensembles for Probabilistic Time Series Forecasting. CoRR (2024)
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, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne
VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91 (2024)
Baptiste Esteban, Guillaume Tochon, Edwin Carlinet, Didier Verna
Structural Analysis of the Additive Noise Impact on the α -tree. CAIP (2) (2023)
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
Neural Koopman prior for data assimilation. CoRR (2023)
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data. ICASSP (2023)
Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecasting. CoRR (2023)
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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, M. Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, B. Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, N. Saeed, Adam Shephard, P. Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
Why is the Winner the Best? CVPR (2023)
Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey
Learning Sentinel-2 Reflectance Dynamics for Data-Driven Assimilation and Forecasting. EUSIPCO (2023)
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey
Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data. CoRR (2023)
Baptiste Esteban, Edwin Carlinet, Guillaume Tochon, Didier Verna
The Cost of Dynamism in Static Languages for Image Processing. GPCE (2022)
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, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR (2022)
Romain Hermary, Guillaume Tochon, Élodie Puybareau, Alexandre Kirszenberg, Jesús Angulo
Learning Grayscale Mathematical Morphology with Smooth Morphological Layers. J. Math. Imaging Vis. 64 (7) (2022)
Baptiste Esteban, Guillaume Tochon, Edwin Carlinet, Didier Verna
Estimation of the noise level function for color images using mathematical morphology and non-parametric statistics. ICPR (2022)
Isabelle Bloch, Samy Blusseau, Ramón Pino Pérez, Élodie Puybareau, Guillaume Tochon
On Some Associations Between Mathematical Morphology and Artificial Intelligence. DGMM (2021)
Nicolas Boutry, Guillaume Tochon
Stability of the Tree of Shapes to Additive Noise. DGMM (2021)
Alexandre Kirszenberg, Guillaume Tochon, Élodie Puybareau, Jesús Angulo
Going Beyond p-convolutions to Learn Grayscale Morphological Operators. DGMM (2021)
Joaquim Estopinan, Guillaume Tochon, Lucas Drumetz
Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions using Residual Neural Networks. EUSIPCO (2021)
Alexandre Kirszenberg, Guillaume Tochon, Élodie Puybareau, Jesús Angulo
Going beyond p-convolutions to learn grayscale morphological operators. CoRR (2021)
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, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR (2021)
Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. ICASSP (2020)
Nicolas Boutry, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud
Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures. BrainLes@MICCAI (1) (2019)
Thibault Buatois, Élodie Puybareau, Guillaume Tochon, Joseph Chazalon
Two Stages CNN-Based Segmentation of Gliomas, Uncertainty Quantification and Prediction of Overall Patient Survival. BrainLes@MICCAI (2) (2019)
Baptiste Esteban, Guillaume Tochon, Thierry Géraud
Estimating the Noise Level Function with the Tree of Shapes and Non-parametric Statistics. CAIP (2) (2019)
Guillaume Tochon, Mauro Dalla Mura, Jocelyn Chanussot
Constructing a Braid of Partitions from Hierarchies of Partitions. ISMM (2019)
Guillaume Tochon, Mauro Dalla Mura, Miguel Angel Veganzones, Thierry Géraud, Jocelyn Chanussot
Braids of partitions for the hierarchical representation and segmentation of multimodal images. Pattern Recognit. 95 (2019)
Julie Rivet, Guillaume Tochon, Serge Meimon, Michel Pâques, Thierry Géraud, Michael Atlan
Motion Compensation In Digital Holography For Retinal Imaging. ISBI (2019)
Élodie Puybareau, Guillaume Tochon, Joseph Chazalon, Jonathan Fabrizio
Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure. BrainLes@MICCAI (2) (2018)
Aliona Dangla, Élodie Puybareau, Guillaume Tochon, Jonathan Fabrizio
A First Step Toward a Fair Comparison of Evaluation Protocols for Text Detection Algorithms. DAS (2018)
Lucas Drumetz, Guillaume Tochon, Jocelyn Chanussot, Christian Jutten
Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity. LVA/ICA (2017)
Guillaume Tochon, Jocelyn Chanussot, Mauro Dalla Mura, Andrea L. Bertozzi
Object Tracking by Hierarchical Decomposition of Hyperspectral Video Sequences: Application to Chemical Gas Plume Tracking. IEEE Trans. Geosci. Remote. Sens. 55 (8) (2017)
Lucas Drumetz, Guillaume Tochon, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten
Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression. ICASSP (2017)
Guillaume Tochon, Delphine Pauwels, Mauro Dalla Mura, Jocelyn Chanussot
Unmixing-based gas plume tracking in LWIR hyperspectral video sequences. WHISPERS (2016)
Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero Gomez, Guillaume Tochon, Mauro Dalla Mura, Giorgio A. Licciardi, Christian Jutten, Jocelyn Chanussot
Hyperspectral Local Intrinsic Dimensionality. IEEE Trans. Geosci. Remote. Sens. 54 (7) (2016)
Guillaume Tochon, Lucas Drumetz, Miguel Angel Veganzones, Mauro Dalla Mura, Jocelyn Chanussot
From local to global unmixing of hyperspectral images to reveal spectral variability. WHISPERS (2016)
Miguel Angel Veganzones, Mauro Dalla Mura, Guillaume Tochon, Jocelyn Chanussot
Binary Partition Trees-Based Spectral-Spatial Permutation Ordering. ISMM (2015)
Guillaume Tochon, Mauro Dalla Mura, Jocelyn Chanussot
Segmentation of Multimodal Images Based on Hierarchies of Partitions. ISMM (2015)
Guillaume Tochon, Jocelyn Chanussot, Jérôme Gilles, Mauro Dalla Mura, Jen-Mei Chang, Andrea L. Bertozzi
Gas plume detection and tracking in hyperspectral video sequences using Binary Partition Trees. WHISPERS (2014)
Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, Jocelyn Chanussot
Binary partition tree-based local spectral unmixing. WHISPERS (2014)
Miguel Angel Veganzones, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, José M. Bioucas-Dias, Jocelyn Chanussot
A new extended linear mixing model to address spectral variability. WHISPERS (2014)
Miguel Angel Veganzones, Guillaume Tochon, Mauro Dalla Mura, Antonio J. Plaza, Jocelyn Chanussot
Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation. IEEE Trans. Image Process. 23 (8) (2014)
Miguel Angel Veganzones, Guillaume Tochon, Mauro Dalla Mura, Antonio J. Plaza, Jocelyn Chanussot
Hyperspectral image segmentation using a new spectral mixture-based binary partition tree representation. ICIP (2013)
Miguel Angel Veganzones, Guillaume Tochon, Mauro Dalla Mura, Antonio J. Plaza, Jocelyn Chanussot
A comparison study between windowing and binary partition trees for hyperspectral image information mining. IGARSS (2013)
Guillaume Tochon, Jean-Baptiste Féret, Roberta E. Martin, Raul Tupayachi, Jocelyn Chanussot, Gregory P. Asner
Binary partition tree as a hyperspectral segmentation tool for tropical rainforests. IGARSS (2012)