Mathieu Hatt

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 24

Top Venues

University of Western Brittany, Brest, France (PHD)

Education History

University of Western Brittany, Brest, France

PHD

Publications

Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, Mathieu Hatt, Mohamad Oueidat, Pierre Chauvet
A Systematic Review: Classification of Lung Diseases from Chest X-Ray Images Using Deep Learning Algorithms. SN Comput. Sci. 5 (4) (2024)
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 Ferndinand 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.
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR (2023)
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
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. 90 (2023)
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography. EXTRAAMAS@AAMAS (2022)
Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images. CoRR (2022)
Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT Images. HECKTOR@MICCAI (2022)
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
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. 77 (2022)
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 Mohamed, Mohamed Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI (2022)
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
Evaluation of importance estimators in deep learning classifiers for Computed Tomography. CoRR (2022)
Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Chez-Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. CoRR (2022)
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
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. HECKTOR@MICCAI (2021)
Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images. CoRR (2021)
Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images. HECKTOR@MICCAI (2020)
Andrei Iantsen, Vincent Jaouen, Dimitris Visvikis, Mathieu Hatt
Squeeze-and-Excitation Normalization for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2020)
Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim
PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients. CoRR (2019)
Vincent Jaouen, Julien Bert, Nicolas Boussion, Hadi Fayad, Mathieu Hatt, Dimitris Visvikis
Image Enhancement With PDEs and Nonconservative Advection Flow Fields. IEEE Trans. Image Process. 28 (6) (2019)
Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches. CoRR (2019)
Andrei Iantsen, Vincent Jaouen, Dimitris Visvikis, Mathieu Hatt
Encoder-Decoder Network for Brain Tumor Segmentation on Multi-sequence MRI. BrainLes@MICCAI (2) (2019)
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
The first MICCAI challenge on PET tumor segmentation. Medical Image Anal. 44 (2018)
Vincent Jaouen, Laurent Gaubert, Julien Bert, Mathieu Hatt, Dimitris Visvikis
Image Filtering with Advectors. ICIP (2018)
Marie-Charlotte Desseroit, Florent Tixier, Wolfgang Weber, Barry A. Siegel, Catherine Cheze-Le Rest, Dimitris Visvikis, Mathieu Hatt
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 (2016)
Taman Upadhaya, Yannick Morvan, Eric Stindel, Pierre-Jean Le Reste, Mathieu Hatt
Prognosis classification in glioblastoma multiforme using multimodal MRI derived heterogeneity textural features: impact of pre-processing choices. Medical Imaging: Computer-Aided Diagnosis (2016)
Mathieu Hatt, Dimitris Visvikis
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. 46 (2015)
Taman Upadhaya, Yannick Morvan, Eric Stindel, Pierre-Jean Le Reste, Mathieu Hatt
Prognostic value of multimodal MRI tumor features in Glioblastoma multiforme using textural features analysis. ISBI (2015)
Adrien Le Pogam, H. Hanzouli, Mathieu Hatt, Catherine Cheze-Le Rest, Dimitris Visvikis
Denoising of PET images by combining wavelets and curvelets for improved preservation of resolution and quantitation. Medical Image Anal. 17 (8) (2013)
Simon David, Dimitris Visvikis, Gwénolé Quellec, Catherine Cheze-Le Rest, Philippe Fernandez, Michèle Allard, Christian Roux, Mathieu Hatt
Image Change Detection Using Paradoxical Theory for Patient Follow-Up Quantitation and Therapy Assessment. IEEE Trans. Medical Imaging 31 (9) (2012)
Amandine Le Maitre, William Paul Segars, Simon Marache, Anthonin Reilhac, Mathieu Hatt, Sandrine Tomeï, Carole Lartizien, Dimitris Visvikis
hboxF-FDG Distributions for Oncology Applications. Proc. IEEE 97 (12) (2009)
Mathieu Hatt, Catherine Cheze-Le Rest, Alexandre Turzo, Christian Roux, Dimitris Visvikis
A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET. IEEE Trans. Medical Imaging 28 (6) (2009)
Adrien Le Pogam, Mathieu Hatt, Nicolas Boussion, Denis Guilloteau, Jean-Louis Baulieu, Caroline Prunier, Federico E. Turkheimer, Dimitris Visvikis
Conditional partial volume correction for emission tomography: A wavelet-based hidden Markov model and multi-resolution approach. ISBI (2008)
Nicolas Boussion, Mathieu Hatt, Frédéric Lamare, Catherine Cheze-Le Rest, Dimitris Visvikis
Contrast enhancement in emission tomography by way of synergistic PET/CT image combination. Comput. Methods Programs Biomed. 90 (3) (2008)
Fabien Salzenstein, Christophe Collet, Steven Le Cam, Mathieu Hatt
Non-stationary fuzzy Markov chain. Pattern Recognit. Lett. 28 (16) (2007)
Mathieu Hatt, Christian Roux, Dimitris Visvikis
3d Fuzzy Adaptive Unsupervised Bayesian Segmentation for Volume Determination in Pet. ISBI (2007)
Mathieu Hatt, Nicolas Boussion, Frédéric Lamare, Christophe Collet, Fabien Salzenstein, Christian Roux, Yves Bizais, Catherine Cheze-Le Rest, Dimitris Visvikis
Fuzzy versus hard hidden Markov chains segmentation for volume determination and quantitation in noisy PET images. ISBI (2006)

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Publication Activity (10 Years)

Top Topics

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Mathieu Hatt