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2020 – today
- 2021
[i4]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 abs/2102.10446 (2021)- 2020
- [c8]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: 37-43
2010 – 2019
- 2019
- [j9]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): 3075-3088 (2019) - [c7]Andrei Iantsen, Vincent Jaouen, Dimitris Visvikis, Mathieu Hatt:
Encoder-Decoder Network for Brain Tumor Segmentation on Multi-sequence MRI. BrainLes@MICCAI (2) 2019: 296-302 - [i3]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 abs/1906.06623 (2019) - [i2]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 abs/1907.02121 (2019) - 2018
- [j8]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, Michael Kain, Yao Yao, Christian Barillot, Assen Kirov, Dimitris Visvikis:
The first MICCAI challenge on PET tumor segmentation. Medical Image Anal. 44: 177-195 (2018) - [c6]Vincent Jaouen, Laurent Gaubert, Julien Bert, Mathieu Hatt, Dimitris Visvikis:
Image Filtering with Advectors. ICIP 2018: 1513-1517 - 2016
- [c5]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: 97850W - [i1]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 abs/1610.01390 (2016) - 2015
- [j7]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: 300-301 (2015) - [c4]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: 50-54 - 2013
- [j6]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): 877-891 (2013) - 2012
- [b2]Mathieu Hatt:
Multi modal images analysis and processing in oncology. (Analyse et traitement d'images multi modales en oncologie). University of Western Brittany, Brest, France, 2012 - [j5]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): 1743-1753 (2012)
2000 – 2009
- 2009
- [j4]Amandine Le Maitre, William Paul Segars, Simon Marache, Anthonin Reilhac, Mathieu Hatt, Sandrine Tomeï, Carole Lartizien, Dimitris Visvikis:
Incorporating Patient-Specific Variability in the Simulation of Realistic Whole-Body 18hboxF-FDG Distributions for Oncology Applications. Proc. IEEE 97(12): 2026-2038 (2009) - [j3]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): 881-893 (2009) - 2008
- [b1]Mathieu Hatt:
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). University of Western Brittany, Brest, France, 2008 - [j2]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): 191-201 (2008) - [c3]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: 1319-1322 - 2007
- [j1]Fabien Salzenstein, Christophe Collet, Steven Le Cam, Mathieu Hatt:
Non-stationary fuzzy Markov chain. Pattern Recognit. Lett. 28(16): 2201-2208 (2007) - [c2]Mathieu Hatt, Christian Roux, Dimitris Visvikis:
3d Fuzzy Adaptive Unsupervised Bayesian Segmentation for Volume Determination in Pet. ISBI 2007: 328-331 - 2006
- [c1]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: 1376-1379
Coauthor Index
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