Mathieu Hatt

40 papers B 1Journal 23Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction.
CoRR
Numan Saeed, Salma Hassan, Shahad Hardan, Ahmed Aly, Darya Taratynova, Umair Nawaz, Ufaq Khan, Muhammad Ridzuan, Vincent Andrearczyk, Adrien Depeursinge, Yutong Xie, Thomas Eugene, Raphaël Metz, Mélanie Dore, Gregory Delpon, Vijay Ram Papineni, Kareem A. Wahid, Cem Dede, Alaa Mohamed Shawky Ali, Carlos Sjogreen, Mohamed A. Naser, Clifton D. Fuller, Valentin Oreiller, Mario Jreige, John O. Prior, Catherine Cheze Le Rest, Olena Tankyevych, Pierre Decazes, Su Ruan, Stephanie Tanadini-Lang, Martin Vallières, Hesham Elhalawani, Ronan Abgral, Romain Floch, Kevin Kerleguer, Ulrike Schick, Maelle Mauguen, David Bourhis, Jean-Christophe Leclere, Amandine Sambourg, Arman Rahmim, Mathieu Hatt, Mohammad Yaqub
2025 J jnl
Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14.
Comput. Methods Programs Biomed.
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, Mathieu Hatt, Mohamad Oueidat, Pierre Chauvet
2025 J jnl
Reconstruction-based approach for chest X-ray image segmentation and enhanced multi-label chest disease classification.
Artif. Intell. Medicine
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, Mathieu Hatt, Mohamad Oueidat, Pierre Chauvet
2024 J jnl
A Systematic Review: Classification of Lung Diseases from Chest X-Ray Images Using Deep Learning Algorithms.
SN Comput. Sci.
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, Mathieu Hatt, Mohamad Oueidat, Pierre Chauvet
2023 J jnl
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge.
Medical Image Anal.
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
2023 — ed.
Head and Neck Tumor Segmentation and Outcome Prediction - Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
HECKTOR@MICCAI
Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge
2023 J jnl
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.
CoRR
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.
2022 — conf
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography.
EXTRAAMAS@AAMAS
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
2022 J jnl
Evaluation of importance estimators in deep learning classifiers for Computed Tomography.
CoRR
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
2022 — ed.
Head and Neck Tumor Segmentation and Outcome Prediction - Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
HECKTOR@MICCAI
Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge
2022 J jnl
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge.
Medical Image Anal.
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
2022 — conf
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT Images.
HECKTOR@MICCAI
Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt
2022 J jnl
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images.
CoRR
Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt
2022 J jnl
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images.
CoRR
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
2022 — conf
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
HECKTOR@MICCAI
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
2021 — conf
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images.
HECKTOR@MICCAI
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
2021 J jnl
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images.
CoRR
Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt
2020 — conf
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images.
HECKTOR@MICCAI
Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt
2020 — conf
Squeeze-and-Excitation Normalization for Brain Tumor Segmentation.
BrainLes@MICCAI (2)
Andrei Iantsen, Vincent Jaouen, Dimitris Visvikis, Mathieu Hatt
2019 — conf
Encoder-Decoder Network for Brain Tumor Segmentation on Multi-sequence MRI.
BrainLes@MICCAI (2)
Andrei Iantsen, Vincent Jaouen, Dimitris Visvikis, Mathieu Hatt
2019 J jnl
Image Enhancement With PDEs and Nonconservative Advection Flow Fields.
IEEE Trans. Image Process.
Vincent Jaouen, Julien Bert, Nicolas Boussion, Hadi Fayad, Mathieu Hatt, Dimitris Visvikis
2019 J jnl
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches.
CoRR
Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim
2019 J jnl
PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients.
CoRR
Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim
2018 B conf
Image Filtering with Advectors.
ICIP
Vincent Jaouen, Laurent Gaubert, Julien Bert, Mathieu Hatt, Dimitris Visvikis
2018 J jnl
The first MICCAI challenge on PET tumor segmentation.
Medical Image Anal.
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
2016 — conf
Prognosis classification in glioblastoma multiforme using multimodal MRI derived heterogeneity textural features: impact of pre-processing choices.
Computer-Aided Diagnosis
Taman Upadhaya, Yannick Morvan, Eric Stindel, Pierre-Jean Le Reste, Mathieu Hatt
2016 J jnl
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.
CoRR
Marie-Charlotte Desseroit, Florent Tixier, Wolfgang Weber, Barry A. Siegel, Catherine Cheze Le Rest, Dimitris Visvikis, Mathieu Hatt
2015 — conf
Prognostic value of multimodal MRI tumor features in Glioblastoma multiforme using textural features analysis.
ISBI
Taman Upadhaya, Yannick Morvan, Eric Stindel, Pierre-Jean Le Reste, Mathieu Hatt
2015 J jnl
Regarding "Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm" By DP. Onoma et al.
Comput. Medical Imaging Graph.
Mathieu Hatt, Dimitris Visvikis
2013 J jnl
Denoising of PET images by combining wavelets and curvelets for improved preservation of resolution and quantitation.
Medical Image Anal.
Adrien Le Pogam, H. Hanzouli, Mathieu Hatt, Catherine Cheze Le Rest, Dimitris Visvikis
2012 J jnl
Image Change Detection Using Paradoxical Theory for Patient Follow-Up Quantitation and Therapy Assessment.
IEEE Trans. Medical Imaging
Simon David, Dimitris Visvikis, Gwenolé Quellec, Catherine Cheze Le Rest, Philippe Fernandez, Michèle Allard, Christian Roux, Mathieu Hatt
2012 — book
Multi modal images analysis and processing in oncology. (Analyse et traitement d'images multi modales en oncologie).
Mathieu Hatt
2009 J jnl
A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET.
IEEE Trans. Medical Imaging
Mathieu Hatt, Catherine Cheze Le Rest, Alexandre Turzo, Christian Roux, Dimitris Visvikis
2009 J jnl
Incorporating Patient-Specific Variability in the Simulation of Realistic Whole-Body
Proc. IEEE
Amandine Le Maitre, William Paul Segars, Simon Marache, Anthonin Reilhac, Mathieu Hatt, Sandrine Tomeï, Carole Lartizien, Dimitris Visvikis
2008 — conf
Conditional partial volume correction for emission tomography: A wavelet-based hidden Markov model and multi-resolution approach.
ISBI
Adrien Le Pogam, Mathieu Hatt, Nicolas Boussion, Denis Guilloteau, Jean-Louis Baulieu, Caroline Prunier, Federico E. Turkheimer, Dimitris Visvikis
2008 J jnl
Contrast enhancement in emission tomography by way of synergistic PET/CT image combination.
Comput. Methods Programs Biomed.
Nicolas Boussion, Mathieu Hatt, Frédéric Lamare, Catherine Cheze Le Rest, Dimitris Visvikis
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
2007 — conf
3d Fuzzy Adaptive Unsupervised Bayesian Segmentation for Volume Determination in Pet.
ISBI
Mathieu Hatt, Christian Roux, Dimitris Visvikis
2007 J jnl
Non-stationary fuzzy Markov chain.
Pattern Recognit. Lett.
Fabien Salzenstein, Christophe Collet, Steven Le Cam, Mathieu Hatt
2006 — conf
Fuzzy versus hard hidden Markov chains segmentation for volume determination and quantitation in noisy PET images.
ISBI
Mathieu Hatt, Nicolas Boussion, Frédéric Lamare, Christophe Collet, Fabien Salzenstein, Christian Roux, Yves Bizais, Catherine Cheze Le Rest, Dimitris Visvikis