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ORCIDGuillaume Tochon
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2020 – today
- 2024
[j7]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. Medical Image Anal. 91: 103029 (2024)- [j6]Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey:
Neural Koopman Prior for Data Assimilation. IEEE Trans. Signal Process. 72: 4191-4206 (2024) - [c31]Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey:
Koopman Ensembles for Probabilistic Time Series Forecasting. EUSIPCO 2024: 2542-2546 - [i7]Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey:
Koopman Ensembles for Probabilistic Time Series Forecasting. CoRR abs/2403.06757 (2024) - 2023
- [c30]Baptiste Esteban, Guillaume Tochon, Edwin Carlinet, Didier Verna:
Structural Analysis of the Additive Noise Impact on the α -tree. CAIP (2) 2023: 223-232 - [c29]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, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod 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, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng 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, Sen 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: 19955-19966 - [c28]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: 1390-1394 - [c27]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: 1-5 - [i6]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 abs/2303.06972 (2023) - [i5]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 abs/2305.03743 (2023) - [i4]Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil Aïssa-El-Bey:
Neural Koopman prior for data assimilation. CoRR abs/2309.05317 (2023) - 2022
- [j5]Romain Hermary, Guillaume Tochon, Élodie Puybareau, Alexandre Kirszenberg, Jesús Angulo:
Learning Grayscale Mathematical Morphology with Smooth Morphological Layers. J. Math. Imaging Vis. 64(7): 736-753 (2022) - [c26]Baptiste Esteban, Edwin Carlinet, Guillaume Tochon, Didier Verna:
The Cost of Dynamism in Static Languages for Image Processing. GPCE 2022: 172-178 - [c25]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: 428-434 - [i3]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 abs/2208.07167 (2022) - 2021
- [c24]Nicolas Boutry, Guillaume Tochon:
Stability of the Tree of Shapes to Additive Noise. DGMM 2021: 365-377 - [c23]Isabelle Bloch, Samy Blusseau, Ramón Pino Pérez, Élodie Puybareau, Guillaume Tochon:
On Some Associations Between Mathematical Morphology and Artificial Intelligence. DGMM 2021: 457-469 - [c22]Alexandre Kirszenberg, Guillaume Tochon, Élodie Puybareau, Jesús Angulo:
Going Beyond p-convolutions to Learn Grayscale Morphological Operators. DGMM 2021: 470-482 - [c21]Joaquim Estopinan, Guillaume Tochon, Lucas Drumetz:
Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions using Residual Neural Networks. EUSIPCO 2021: 1735-1739 - [i2]Alexandre Kirszenberg, Guillaume Tochon, Élodie Puybareau, Jesús Angulo:
Going beyond p-convolutions to learn grayscale morphological operators. CoRR abs/2102.10038 (2021) - [i1]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 Caballero, 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 H. Meyer, Nisarg A. Shah, Sanjay N. 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 abs/2112.10074 (2021) - 2020
- [c20]Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet:
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. ICASSP 2020: 2483-2487
2010 – 2019
- 2019
- [j4]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: 162-172 (2019) - [c19]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: 167-178 - [c18]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: 187-199 - [c17]Baptiste Esteban, Guillaume Tochon, Thierry Géraud:
Estimating the Noise Level Function with the Tree of Shapes and Non-parametric Statistics. CAIP (2) 2019: 377-388 - [c16]Julie Rivet, Guillaume Tochon, Serge Meimon, Michel Pâques, Thierry Géraud, Michael Atlan:
Motion Compensation In Digital Holography For Retinal Imaging. ISBI 2019: 1428-1431 - [c15]Guillaume Tochon, Mauro Dalla Mura, Jocelyn Chanussot:
Constructing a Braid of Partitions from Hierarchies of Partitions. ISMM 2019: 111-123 - 2018
- [c14]Aliona Dangla, Élodie Puybareau, Guillaume Tochon, Jonathan Fabrizio:
A First Step Toward a Fair Comparison of Evaluation Protocols for Text Detection Algorithms. DAS 2018: 345-350 - [c13]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: 199-209 - 2017
- [j3]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): 4567-4585 (2017) - [c12]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: 381-391 - [c11]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: 6190-6194 - 2016
- [j2]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): 4063-4078 (2016) - [c10]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: 1-5 - [c9]Guillaume Tochon, Delphine Pauwels, Mauro Dalla Mura, Jocelyn Chanussot:
Unmixing-based gas plume tracking in LWIR hyperspectral video sequences. WHISPERS 2016: 1-5 - 2015
- [c8]Guillaume Tochon, Mauro Dalla Mura, Jocelyn Chanussot:
Segmentation of Multimodal Images Based on Hierarchies of Partitions. ISMM 2015: 241-252 - [c7]Miguel Angel Veganzones, Mauro Dalla Mura, Guillaume Tochon, Jocelyn Chanussot:
Binary Partition Trees-Based Spectral-Spatial Permutation Ordering. ISMM 2015: 434-445 - 2014
- [j1]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): 3574-3589 (2014) - [c6]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: 1-4 - [c5]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: 1-4 - [c4]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: 1-4 - 2013
- [c3]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: 245-249 - [c2]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: 4375-4378 - 2012
- [c1]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: 6368-6371
Coauthor Index
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