Mathieu Hatt

According to our database, Mathieu Hatt authored at least 30 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge.

Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Olena Tankyevych, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge

Medical Image Anal., December, 2023

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.

Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.

CoRR, 2023

2022

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge.

Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joël Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge

Medical Image Anal., 2022

Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT Images.

Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.

Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joël Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography.

Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2022

2021

Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images.

Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

2020

Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images.

Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt

Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020

Squeeze-and-Excitation Normalization for Brain Tumor Segmentation.

Andrei Iantsen, Vincent Jaouen, Dimitris Visvikis, Mathieu Hatt

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Image Enhancement With PDEs and Nonconservative Advection Flow Fields.

Vincent Jaouen, Julien Bert, Nicolas Boussion, Hadi Fayad, Mathieu Hatt, Dimitris Visvikis

IEEE Trans. Image Process., 2019

Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches.

Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim

CoRR, 2019

PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients.

Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim

CoRR, 2019

Encoder-Decoder Network for Brain Tumor Segmentation on Multi-sequence MRI.

Andrei Iantsen, Vincent Jaouen, Dimitris Visvikis, Mathieu Hatt

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

The first MICCAI challenge on PET tumor segmentation.

Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, Hadi Fayad, Shan Tan, Laquan Li, Wei Lu, Vincent Jaouen, Clovis Tauber, Jakub Czakon, Filip Drapejkowski, Witold Dyrka, Sorina Camarasu-Pop, Frédéric Cervenansky, Pascal Girard, Tristan Glatard, Michaël Kain, Yao Yao, Christian Barillot, Assen Kirov, Dimitris Visvikis

Medical Image Anal., 2018

Image Filtering with Advectors.

Vincent Jaouen, Laurent Gaubert, Julien Bert, Mathieu Hatt, Dimitris Visvikis

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2016

Reliability of PET/CT shape and heterogeneity features in functional and morphological components of Non-Small Cell Lung Cancer tumors: a repeatability analysis in a prospective multi-center cohort.

Marie-Charlotte Desseroit, Florent Tixier, Wolfgang Weber, Barry A. Siegel, Catherine Cheze Le Rest, Dimitris Visvikis, Mathieu Hatt

CoRR, 2016

Prognosis classification in glioblastoma multiforme using multimodal MRI derived heterogeneity textural features: impact of pre-processing choices.

Taman Upadhaya, Yannick Morvan, Eric Stindel, Pierre-Jean Le Reste, Mathieu Hatt

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015

Regarding "Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm" By DP. Onoma et al.

Mathieu Hatt, Dimitris Visvikis

Comput. Medical Imaging Graph., 2015

Prognostic value of multimodal MRI tumor features in Glioblastoma multiforme using textural features analysis.

Taman Upadhaya, Yannick Morvan, Eric Stindel, Pierre-Jean Le Reste, Mathieu Hatt

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013

Denoising of PET images by combining wavelets and curvelets for improved preservation of resolution and quantitation.

Adrien Le Pogam, H. Hanzouli, Mathieu Hatt, Catherine Cheze Le Rest, Dimitris Visvikis

Medical Image Anal., 2013

2012

Image Change Detection Using Paradoxical Theory for Patient Follow-Up Quantitation and Therapy Assessment.

Simon David, Dimitris Visvikis, Gwenolé Quellec, Catherine Cheze Le Rest, Philippe Fernandez, Michèle Allard, Christian Roux, Mathieu Hatt

IEEE Trans. Medical Imaging, 2012

Multi modal images analysis and processing in oncology. (Analyse et traitement d'images multi modales en oncologie).

Mathieu Hatt

, 2012

2009

A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET.

Mathieu Hatt, Catherine Cheze Le Rest, Alexandre Turzo, Christian Roux, Dimitris Visvikis

IEEE Trans. Medical Imaging, 2009

Incorporating Patient-Specific Variability in the Simulation of Realistic Whole-Body ¹⁸hboxF-FDG Distributions for Oncology Applications.

Amandine Le Maitre, William Paul Segars, Simon Marache, Anthonin Reilhac, Mathieu Hatt, Sandrine Tomeï, Carole Lartizien, Dimitris Visvikis

Proc. IEEE, 2009

2008

Détermination automatique des volumes fonctionnels en imagerie d'émission pour les applications en oncologie. (Automatic delineation of functional volumes in emission tomography for oncology applications).

Mathieu Hatt

PhD thesis, 2008

Contrast enhancement in emission tomography by way of synergistic PET/CT image combination.

Nicolas Boussion, Mathieu Hatt, Frédéric Lamare, Catherine Cheze Le Rest, Dimitris Visvikis

Comput. Methods Programs Biomed., 2008

Conditional partial volume correction for emission tomography: A wavelet-based hidden Markov model and multi-resolution approach.

Adrien Le Pogam, Mathieu Hatt, Nicolas Boussion, Denis Guilloteau, Jean-Louis Baulieu, Caroline Prunier, Federico E. Turkheimer, Dimitris Visvikis

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007

Non-stationary fuzzy Markov chain.

Fabien Salzenstein, Christophe Collet, Steven Le Cam, Mathieu Hatt

Pattern Recognit. Lett., 2007

3d Fuzzy Adaptive Unsupervised Bayesian Segmentation for Volume Determination in Pet.

Mathieu Hatt, Christian Roux, Dimitris Visvikis

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006

Fuzzy versus hard hidden Markov chains segmentation for volume determination and quantitation in noisy PET images.

Mathieu Hatt, Nicolas Boussion, Frédéric Lamare, Christophe Collet, Fabien Salzenstein, Christian Roux, Yves Bizais, Catherine Cheze Le Rest, Dimitris Visvikis

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006