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Peer-reviewed papers
Authors
* equally contributed
Title Journal Details
2024
 V. Bourbonne, M. Morjani, F. Lucia, M. Hatt, V. Jaouen, S. Querellou, D. Visvikis, O. Pradier, U. Schick
PET/CT-based radiogenomics supports KEAP1/NFE2L2 pathway targeting for non-small cell lung cancer treated with curative radiotherapy  Journal of Nuclear Medicine online
P. Whybra, A. Zwanenburg V. Andrearczyk, R. Schaer, A. Apte, A. Ayotte, B.; Baheti, S. Bakas, A. Bettinelli, R. Boellaard, L. Boldrini, I. Buvat, G. Cook, D. Dietsche, N. Dinapoli, H. Gabrys, V. Goh, M. Guckenberger, M. Hatt, M. Hosseinzadeh, A.Iyer, J. Lenkowicz, M. Loutfi, S. Löck, F. Marturano, O. Morin, C. Nioche, F. Orlhac, S. Pati, A. Rahmim, S. Rezaeijo, C. Rookyard, M. Salmanpour, A. Schindele, I. Shiri, E. Spezi, S. Tanadini-Lang, F. Tixier, T. Upadhaya, V. Valentini, J. van Griethuysen, F. Yousefirizi, H. Zaidi, H. Müller,  M. Vallières, A. Depeursinge The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights Radiology 310(2):e231319
 F. Lucia, T. Louis, F. Cousin, V. Bourbonne, D. Visvikis, C. Mievis, N. Jansen, B. Duysinx, R. Le Pennec, M. Nebbache, M. Rehn, M. Hamya, M. Geier, P.-Y. Salaun, U. Schick, M. Hatt, P. Coucke, R. Hustinx, P. Lovinfosse 
Multicentric development and evaluation of [18F]FDG PET/CT and CT radiomic models to predict regional and/or distant recurrence in early-stage non-small cell lung cancer treated by stereotactic body radiation therapy  European Journal of Nuclear Medicine and Molecular Imaging 51(4):1097-1108
2023
N. Abdhalah, J-M. Marion, C. Tauber, T. Carlier, M. Hatt, P. Chauvet Enhancing Histopathological Image Classification of Breast Cancer using Hybrid Harmonization
Techniques
Scientific reports 13:20014
V. Andrearczyk*, V. Oreiller*, S. Boughdad, C. Chez Le Rest, H. Elhalawani, M. Jreige, JO. Prior, M. Vallières, D. Visvikis, M. Hatt*, A. Depeursinge* Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images Medical Image Analysis 90:102972
V. Andrearczyk*, V. Oreiller*, M. Abobakr, A. Akhavanallaf, P. Balermpas, S. Boughdad, L. Capriotti, J. Castelli, C. Chez Le Rest, P. Decazes, R. Correia, D. El-Habashy, H. Elhalawani, C. D. Fuller, M. Jreige, Y. Khamis, A. La Greca, A. Mohamed, M. Naser, J. O. Prior, S., S. Tanadini-Lang, O. Tankyevych, Y. Salimi, M. Vallières, P. Vera, D. Visvikis, K. Wahid, H. Zaidi,  H. Elhalawani, M. Jreige, M. Hatt*, A. Depeursinge* Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Lecture Notes in Computer Science 13626
M. Hatt “Fuzzy” radiomics: the way forward for nuclear medicine imaging applications? [Editorial] European Journal of Nuclear Medicine and Molecular Imaging 50, 1558–1559
F. Lucia, V. Bourbonne, C. Pleyers, P-F. Dupré, O. Miranda, D. Visvikis, O. Pradier, R. Abgral, A. Mervoyer, J-M. Classe, C. Rousseau, W. Vos, J. Hermesse, C. Gennigens, M. De Cuypere, F. Kridelka, U. Schick, M. Hatt, R. Hustinx, P. Lovinfosse
Multicentric development and evaluation of 18F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer  European Journal of Nuclear Medicine and Molecular Imaging 50, 2514–2528
X. Hui, N. Abdhalah, J-M. Marion, P. Chauvet, C. Tauber, T. Carlier, L. Lu, M. Hatt Radiomics prognostic analysis of PET/CT images in a multi-center head and neck cancer cohort: investigating ComBat strategies, sub-volumes characterization and automatic segmentation European Journal of Nuclear Medicine and Molecular Imaging 50, 1720–1734
M. Hatt, A. K. Krizsan, A. Rahmim, T. J. Bradshaw, P. F. Costa, A. Forgacs, R. Seifert, A. Zwanenburg, I. El Naqa P. Kinahan, F. Tixier, A.K. Jha, D. Visvikis Joint EANM/SNMMI Guideline on Radiomics in Nuclear Medicine European Journal of Nuclear Medicine and Molecular Imaging 50, 352–375
B. Saboury, T. Bradshaw, R. Boellaard, I. Buvat, J. Dutta, M. Hatt, A. K. Jh, Q. Li, C. Liu, H. McMeekin, M. A. Morris, P. J.H. Scott, E. Siegel, J. J. Sunderland, R. L. Wahl, S. Zuehlsdorff, A. Rahmim Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem Journal of Nuclear Medicine 64(2):188-196
2022
F. Léost, G. Delpon, E. Garcion, J.-F. Gestin, M. Hatt, V. Potiron, L. Rbah-Vidal, S.Supiot “Adaptation of the tumour and its ecosystem to radiotherapies: Mechanisms, imaging and therapeutic approaches” XIVth edition of the workshop organised by the “Vectorisation, Imagerie, Radiothérapies” network of the Cancéropôle Grand-Ouest, 22–25 September 2021, Le Bono, France Bulletin du cancer 109(10), 1088-1093
A. K. Jha, T. J. Bradshaw, I. Buvat, M. Hatt, KC. Prabhat, C. Liu, N. F. Obuchowski, B. Saboury, P. J. Slomka, J. J. Sunderland, R. L. Wahl, Z. Yu, S. Zuehlsdorff, A. Rahmim, R. Boellaard Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE guidelines) Journal of Nuclear Medicine 63(9):1288-1299
A. Bordron, E. Rio, B. Badic, O. Miranda, O. Pradier, M. Hatt, D. Visvikis, F. Lucia, U. Schick, V. Bourbonne External Validation of a Radiomics Model for the Prediction of Complete Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Cancers 14(4):1079
V. Andrearczyk*, V. Oreiller*, S. Boughdad, C. Chez Le Rest, H. Elhalawani, M. Jreige, JO. Prior, M. Vallières, D. Visvikis, M. Hatt*, A. Depeursinge* Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images Lecture Notes in Computer Science 13209
V. Oreiller, V. Andrearczyk, M. Jreige, S. Boughdad, H. Elhalawani, J. Castelli, M. Vallières, S. Zhu, J. Xie, Y. Peng, A. Iantsen, M. Hatt, Y. Yuan, J. Ma, X. Yang, C. Rao, S. Pai, K. Ghimire, X. Feng, M.A. Naser, CD. Fuller, F. Yousefirizi, A. Rahmim, H. Chen, L. Wang, JO. Prior, A. Depeursinge Head and Neck Tumor Segmentation in PET/CT: The HECKTOR Challenge Medical Image Analysis 77,102336
B. Badic, R. Da-ano, K. Poirot, V. Jaouen, B. Magnin, J. Gagnière, D. Pezet, D. Visvikis*, M. Hatt* Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study European Radiology 32(1):405-414
S. Sellami, V. Bourbonne, M. Hatt, F. Tixier, D. Bouzid, F. Lucia, O. Pradier, G. Goasduff, D. Visvikis, U. Schick Predicting response to radiotherapy of head and neck squamous cell carcinoma using radiomics from cone-beam CT images Acta Oncologica 61(1):73-80
E.L. Solari, A. Gafita, S. Schachoff, T. Amiel, W. Hui, I. Rauscher, D. Visvikis, T. Maurer, K. Schwamborn, M. Mustafa, W. Weber, N. Navab, M. Eiber, M. Hatt*, S. G. Nekolla* The added value of PSMA PET/MR radiomics for prostate cancer staging European Journal of Nuclear Medicine and Molecular Imaging 49(2):527-538
2021
V. Bourbonne, V. Jaouen, T. An Nguyen, V. Tissot, L. Doucet, M. Hatt, D. Visvikis, O. Pradier, A. Valéri, G. Fournier, U. Schick, Development of a Radiomic-Based Model Predicting Lymph Node Involvement in Prostate Cancer Patients Cancers 13(22):5672
S. Sepehri, O. Tankyevych, A. Iantsen, D. Visvikis, C. Cheze Le Rest*, M. Hatt* Accurate tumor delineation vs. rough volume of interest analysis for 18F-FDG PET/CT radiomic-based prognostic modeling in Non-Small Cell Lung cancer Frontiers in oncology 11:726865
F. Lucia, V. Bourbonne, D. Visvikis, O. Miranda, D. Gouders, G. Dissaux, O. Pradier, F. Tixier, V. Jaouen, J. Bert, M. Hatt*, U. Schick* Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for cervical cancer Journal of Personalized Medicine 11(5):398
R. Da-ano, F. Lucia, I. Masson, P. Robin, J. Alfieri, C. Rousseau, A. Mervoyer, C. Reinhold,  O. Pradier, U. Schick, D. Visvikis*, M. Hatt* A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets PLOS ONE 16(7):e0253653
I. Masson, R. Da-ano, F. Lucia, M. Doré, J. Castelli, C. G. de Monsabert, J-F. Ramée, S. Sellami, D. Visvikis, M. Hatt, U. Schick Statistical harmonization can improve the development of a multicenter CT based radiomic model predictive of non-response to induction chemotherapy in laryngeal cancers  Medical Physics 48(7):4099-4109
S. Collet, J-S. Guillamo, D. H. Berro, A. Chakhoyan, J-M. Constans, E. Lechapt-Zalcman, J-M. Derlon, M. Hatt, D. Visvikis, S. Guillouet, C. Perrio, M. Bernaudin, S. Valable Simultaneous mapping of vasculature, hypoxia and proliferation using DSC-MRI, 18F-FMISO PET, and 18F-FLT PET in relation to contrast enhancement in newly diagnosed glioblastoma Journal of Nuclear Medicine 62(10):1349-1356
P. Papadimitroulas, L. Brocki, N. C. Chung, W. Marchadour, F. Vermet, L. Gaubert, V. Eleftheriadis, D. Plachouris, D. Visvikis, G. C. Kagadis, M. Hatt Artificial Intelligence: Deep Neural Networks in interpretability and harmonization of oncological radiomic biomarkers [Review] European Journal of Medical Physics - Physica Medica 83:108-121
S. Sepehri, O. Tankyevych, T. Upadhaya, D. Visvikis, C. Cheze Le Rest*, M. Hatt* Comparison and fusion of machine learning algorithms for prospective validation of PET/CT radiomic features prognostic value in stage II-III Non-Small Cell Lung Cancer Diagnostics 11(4):675
M. Ferreira, P. Lovinfosse, J. Hermesse, M. Decuypere, C. Rousseau, F. Lucia, U. Schick, C. Reinhold, P. Robin, M. Hatt, D. Visvikis, C. Bernard, R. T. H. Leijenaar, F. Kridelka, P. Lambin, P. E. Meyer, R. Hustinx  [18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation European Journal of Nuclear Medicine and Molecular Imaging 48(11):3432-3443
A. Iantsen, M. Ferreira, F. Lucia, V. Jaouen, C. Reinhold, P. Bonaffini, J. Alfieri, R. Rovira, I. Masson, P. Robin, A. Mervoyer, C. Rousseau, F. Kridelka, M. Decuypere, P. Lovinfosse, O. Pradier, R. Hustinx, U. Schick, D. Visvikis, M. Hatt Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting European Journal of Nuclear Medicine and Molecular Imaging 48(11):3444-3456
B. Badic,  F. Tixier, C. Cheze Le Rest, M. Hatt*, D. Visvikis* Radiogenomics in colorectal cancer [Review] Cancers 13(5): 973
M. Hatt, C. Cheze Le Rest, N. Antonorsi, F. Tixier, O. Tankyevych, V. Jaouen, F. Lucia, V. Bourbonne, U. Schick, B. Badic, D. Visvikis Radiomics in PET/CT: current status and future AI based evolutions [Review] Seminars in Nuclear Medicine 51(2):126-133
J. Wallis, R. Klein, T. Bradshaw, C. Catana, M. Hatt, R. Laforest, C. Liu , O. Mawlawi, K. McCall, D. Osborne, J. Tang, RG. Wells, M. Ghesani Guidelines on Setting Up Stations for Remote Viewing of Nuclear Medicine and Molecular Imaging Studies During COVID-19  [Guidelines] Journal of Nuclear Medicine Technology 49(1):2-6
O. Tankyevych, F. Tixier, N. Antonorsi, A. F. Razzouki, R. Mondon, T. Pinto-Leite, D. Visvikis, M. Hatt* C. Cheze Le Rest* Can alternative PET reconstruction schemes improve the prognostic value of radiomic features in non-small cell lung cancer? Methods S1046-2023(20)30251-6
V. Bourbonne, R. Da-ano, F. Lucia, G. Dissaux, J. Bert, O. Pradier, D. Visvikis, M. Hatt*, U. Schick* Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for lung cancer Radiotherapy and Oncology 155:144-150
2020
R. Da-ano, D. Visvikis*, M. Hatt* Harmonization strategies for multicenter radiomics investigations [Review] Physics in Medicine and Biology 65:24TR02
S. Sanduleanu, A. Jochems, T. Upadhaya, A. Even, R. Leijenaar, F. Dankers, R. Klaassen, H. Woodruff, M. Hatt, H. Kaanders, O. Hamming-Vrieze, H. van Laarhoven, R. Subramiam, S. Huang, B. O'Sullivan, S. Bratman, L. Dubois, R. Miclea, D. Di Perri, X. Geets, M. Crispin-Ortuzar, A. Apte, J. O Deasy, J. H Oh, N. Y Lee, J. L Humm, H. Schöder, D. Ruysscher, F. Hoebers, P. Lambin Non-invasive imaging for tumor hypoxia: a novel developed and externally validated CT and FDG-PET-based Radiomic signature Radiotherapy and Oncology 153:97-105
R. Da-ano, I. Masson, F. Lucia, M. Dorée, P. Robin, J. Alfieri, C. Rousseau, A. Mervoyer, C. Reinhold, J. Castelli, R. De Crevoisier, J.F. Ramée, O. Pradier, U. Schick, D. Visvikis*, M. Hatt* Performance comparison of modified ComBat for harmonization of radiomic features for multicentric studies Scientific Reports 10(1):10248
U. Schick, F. Lucia, V. Bourbonne, G. Dissaux, O. Pradier, V. Jaouen, F. Tixier, D. Visvikis, M. Hatt Use of radiomics in the radiation oncology setting: where do we stand and what do we need? [Review] Cancer Radiothérapie 24(6-7):755-761
C. Beaudelot, E. Bayart, J. Thariat, C. Bourgier, F. Denis, M. Hatt, D. Pasquier, C. Verry, E. Deutsch, A. Levy Oncologie-Radiothérapie horizon 2030 : du microbiote au laser plasma [Review] Cancer Radiothérapie 24(6-7):744-750
F. Lucia, O. Miranda, R. Abgral, V. Bourbonne, G. Disseaux, O. Pradier, M. Hatt*, U. Schick* Use of baseline 18F-FDG PET/CT to identify initial sub-volumes associated with local failure after concomitant chemoradiotherapy in locally advanced cervical cancer Frontiers in Oncology 10:678
V. Bourbonne, M. Vallières, F. Lucia, G. Fournier, A. Valéri, J. Calves, D. Visvikis, V.Tissot, O. Pradier, M. Hatt*, U. Schick* External validation of an MRI-derived radiomics model to guide patients selection for adjuvant radiotherapy after prostatectomy for high-risk prostate cancer Cancers 12(4):814
F. Tixier, C. Cheze-le-Rest, U. Schick, B. Simon, X. Dufour, S. Key, O. Pradier, M. Aubry, M. Hatt, L. Corcos*, D. Visvikis* Transcriptomics in cancer revealed by Positron Emission Tomography radiomics Scientific Reports 10(1):5660
A. Zwanenburg*, M. Vallières*, M.A. Abdalah, H.J.W.L. Aerts, V. Andrearczyk, A. Apte, S. Ashrafinia, S. Bakas, R.J. Beukinga, R. Boellaard, M. Bogowicz, L. Boldrini, I. Buvat, G.J.R. Cook, C. Davatzikos, A. Depeursinge, M-C. Desseroit, N. Dinapoli, C. Viet Dinh, S.Echegaray, I. El Naqa, A.Y. Fedorov, R. Gatta, R.J. Gillies, V. Goh, M. Guckenberger, M. Götz, S. Min Ha, M. Hatt, F. Isensee, P.Lambin, S. Leger, R.T.H. Leijenaar, J. Lenkowicz, F. Lippert, A. Losnegård, K. H. Maier-Hein, O. Morin, H. Müller, S. Napel, C. Nioche, F. Orlhac, S. Pati, E.A.G. Pfaehler, A. Rahmim, A.U.K. Rao, J. Scherer, M. Musib Siddique, N. M. Sijtsema, J. Socarras Fernandez, E. Spezi, R.J.H.M Steenbakkers, S. Tanadini-Lang, D. Thorwarth, E.G.C. Troost, T. Upadhaya, V. Valentini, L.V. van Dijk, J. van Griethuysen, F.H.P.van Velden, P. Whybra, C. Richter, S. Löck The Image Biomarker Standardization Initiative: standardized quantitative radiomics for highthroughput image-based phenotyping Radiology 295(2):328-338
G. Dissaux, D. Visvikis, R. Da-ano, O. Pradier, E. Chajon, I. Barillot, L. Duverge, I. Masson, R. Abgral, M-J Santiago Ribeiro, A. Devillers, A. Pallardy, V. Fleury, M-A. Mahé, R. De Crevoisier, M. Hatt*, U. Schick* Pre-treatment 18-FDG PET/CT radiomics predict local recurrence in patients treated with stereotactic radiotherapy for early-stage non-small cell lung cancer: a multicentric study Journal of Nuclear Medicine 61(6):814-820
I. Shiri, H. Maleki, G. Hajianfar, H. Abdollahi, S. Ashrafinia, M. Hatt, M. Oveisi, A. Rahmim Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches Molecular Imaging and Biology 22(4):1132-1148
2019
M. Hatt*, M-C. Desseroit, F. Tixier, B. Badic, B. Laurent, D. Visvikis, C. Cheze Le Rest* Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: influence of segmentation methods on 18F-FDG PET/CT images Scientific Reports 9(1):14925
I. Schick, I. Masson, O. Pradier, F. Lucia, D. Visvikis, M. Hatt MRI derived Radiomics: Methodology and clinical applications in the field of pelvic oncology [Review] British Journal of Radiology 92(1104):20190105
M. Hatt, F. Lucia, U. Schick, D. Visvikis Multicentric radiomics studies: challenges and opportunities [Invited commentary] EBioMedicine S2352-3964(19)30577-8
L Wei, S. Osman, M. Hatt, I. El Naqa Machine learning for radiomics-based multi-modality and multi-parametric modeling [Review] Quarterly journal of nuclear medicine and molecular imaging 63(4):323-338
V. Bourbonne, M. Vallières, F. Lucia, L. Doucet, D. Visvikis, V. Tissot, O. Pradier, M. Hatt*, U. Schick* MRI-derived radiomics to guide post-operative management for high-risk prostate cancer Frontiers in Oncology 9:807
B. Badic, M. Hatt, S. Durand, C. Le Jossic-Corcos, B. Simon, D. Visvikis*, L. Corcos* Radiogenomics-based cancer prognosis in colorectal cancer Scientific Reports 9(1):9743
D. Visvikis, C. Cheze Le Rest, M. Hatt Artificial intelligence, machine (Deep) learning and radio(geno)mics – Definitions and Nuclear Medicine Imaging Applications [Review] European Journal of Nuclear Medicine and Molecular Imaging 46(13):2630-2637
M. Hatt, C. Cheze Le Rest, F. Tixier, B. Badic, U. Schick, D. Visvikis Radiomics: Data are also Images [Review] Journal of Nuclear Medicine 60(S2):38S-44S
S. Supiot, C. Rousseau, M. Dore, C. Cheze-Le-Rest, C. Kandel-Aznar, V. Potiron, S. Guerif, F. Paris, L. Ferrer , L. Campion, P. Meingan, G. Delpon, M.Hatt*, D. Visvikis* Reoxygenation during radiotherapy in intermediate-risk prostate cancer Radiotherapy and Oncology 133:16-19
F. Lucia, D. Visvikis, M-C. Desseroit, O. Miranda, M. Vallières, P. Robin, P. Bonaffini, I. Masson, A. Mervoyer, C. Reinhold, O. Pradier, M. Hatt*, U. Schick* External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy European Journal of Nuclear Medicine and Molecular Imaging 46(4):864-877
M. Hatt, C. Parmar, J. Qi, I El Naqa Machine (Deep) Learning Methods for Image Processing and Radiomics [Editorial] IEEE Transactions on Radiation and Plasma Medical Sciences 3(2):104-108
T. Upadhaya, M. Vallières, A. Chatterjee, F. Lucia, P. Bonaffini, I. Masson, A. Mervoyer, C. Reinhold, U. Schick, J. Seuntjens, C. Cheze Le Rest, D. Visvikis, M. Hatt Comparison of radiomics models built through machine learning in a multicentric context with blind independent testing: identical data, similar algorithms, different methodologies IEEE Transactions on Radiation and Plasma Medical Sciences 3(2):192-200
V. Jaouen, J. Bert, N. Boussion, H. Fayad, M. Hatt, D. Visvikis Image enhancement with PDEs and nonconservative advection flow fields IEEE Transactions on Image Processing 28(6):3075-3088
B. Badic, M-C. Desseroit, D. Visvikis*, M. Hatt* Potential complementary value of non contrast and contrast enhanced CT radiomics in colorectal cancers Academic Radiology 26(4):469-479
2018
P. Lovinfosse, M. Hatt, D. Visvikis, R. Hustinx Heterogeneity analysis of 18F-FDG PET imaging in oncology: clinical indications and perspectives [Review] Clinical and Translational Imaging 6(5):393-410
P. Lovinfosse, D. Visvikis, R. Hustinx, M. Hatt FDG PET radiomics: a review of the methodological aspects [Review] Clinical and Translational Imaging 6(5):379-391
S. Supiot, C. Rousseau, M. Doré, C. Cheze-Le-Rest, C. Kandel-Aznar, V. Potiron, S. Guerif, F. Paris, L. Ferrer, L. Campion, P. Meingang, G. Delpon, M. Hatt, D. Visvikis Evaluation of tumor hypoxia prior to radiotherapy in intermediate-risk prostate cancer using 18F-Misonidazole PET/CT Oncotarget 9(11):10005-10015
M. Hatt, B. Laurent, A. Ouahabi, H. Fayad, V. Jaouen, C. Tauber, J. Czakon, F. Drapejkowski, W. Dyrka, S Tan, L. Li, W. Lu, S. Camarasu-Pop, F. Cervenansky, P. Girard, M. Kain, Y. Yao, C. Barillot, A. Kirov, D. Visvikis The first MICCAI challenge on PET tumor segmentation Medical Image Analysis 44:177-195
M. Majdoub*, B.A.W. Hoeben*, E.G.C. Troost, W.J.G. Oyen, J.H.A.M. Kaanders, C. Cheze Le Rest,  E.P. Visser, D. Visvikis*, M. Hatt* Prognostic value of head and neck tumour proliferative sphericity from 3’-deoxy-3’-[18F] fluorothymidine positron emission tomography  IEEE Transactions on Radiation and Plasma Medical Sciences 2(1):33-40
F. Lucia, D. Visvikis, M-C. Desseroit, O. Miranda, J-P. Malhaire, P. Robin, O. Pradier, M. Hatt*, U. Schick* Prediction of outcome using pretreatment 18F-FDG PET/CT and MRI radiomics in locally advanced cervical cancer treated with chemoradiotherapy European Journal of Nuclear Medicine and Molecular Imaging 45(5):768-786
M. Vallières, A. Zwanenburg, B. Badic, C. Cheze-Le Rest, D. Visvikis, M. Hatt Radiomics: Responsible Research For Faster Clinical Translation [Editorial] Journal of Nuclear Medicine 59(2):189-193
A. Fargeas, O. Acosta, J.D. Ospina Arrango, A. Ferhat, N. Costet, L. Albera, D. Azria, P. Fenoglietto, G. Créhange, V. Beckendorf, M. Hatt, A. Kachenoura, R. de Crevoisier Independent component analysis for rectal bleeding prediction following prostate cancer radiotherapy Radiotherapy and Oncology 126(2):263-269
M. Hatt, B. Laurent, H. Fayad, V. Jaouen, D. Visvikis, C. Cheze Le Rest Tumour functional sphericity from PET images: prognostic value in NSCLC and impact of delineation method European Journal of Nuclear Medicine and Molecular Imaging 45(4):630-641
P. Lovinfosse, M. Polus, D. Van Daele, P. Martinive, F. Daenen, M. Hatt, D. Visvikis, B. Koopmansch, F. Lambert, C. Coimbra, L. Seidel, A. Albert, P. Delvenne, R. Hustinx FDG PET/CT texture analysis for predicting the outcome of locally advanced rectal cancer  European Journal of Nuclear Medicine and Molecular Imaging 45(3):365-375
2017
H. Hanzouli, J. Lapuyade-Lahorgue, D. Benoit, J. Bert, P. Lambin, A. Van Baardwijk, E. Monfrini, W. Pieczynksi, D. Visvikis, M. Hatt A framework based on Hidden Markov Trees for multimodal PET/CT image co-segmentation Medical Physics 44(11):5835-5848
L. Fanchon, A. Apte, C.R. Schmidtlein, E. Yorke, Y-C. Hu, M. Hatt,  D. Visvikis, J.L. Humm,  S.B. Solomon, A.S. Kirov Evaluation of the tumor registration error in biopsy procedures performed under real-time PET/CT guidance Medical Physics 44(10):5089-5095
B. Berthon, E. Spezi, P.Galavis, A.T. Shepherd, A. Apte, M. Hatt, H. Fayad, E. De Bernardi, C. Soffientini, C.R. Schmidtlein, I. El Naqa, R. Jeraj, W. Lu, S. Das, H. Zaidi, O. Mawlawi, D. Visvikis, J A. Lee,  A.S. Kirov Towards a standard for the evaluation of PET Auto-Segmentation methods: requirements and implementation Medical Physics 44(8):4098-4111
M. Hatt, J. Lee, C.R. Schmidtlein,  I. El Naqa, C. Caldwell, E. De Bernardi,  W. Lu, S. Das, X. Geets, V. Gregoire,  R. Jeraj, M. MacManus, O. Mawlawi, U. Nestle, A. Pugachev, H. Schöder, T. Shepherd, E. Spezi, D. Visvikis,H. Zaidi, A.S. Kirov Classification and evaluation strategies of auto-segmentation approaches for PET. Report of the American Association of Physicists in Medicine Task group 211 Medical Physics 44(6):e1-e42
M-C. Desseroit, F. Tixier, W. A. Weber, B. A. Siegel, C. Cheze Le Rest, D. Visvikis, M. 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 Journal of Nuclear Medicine 58(3):406-411
K. Gnep, A. Fargeas, R.E. Gutiérrez-Carvajal, F. Commandeur, R. Mathieu, J.D. Ospina, Y. Rolland,T. Rohou, S. Vincendeau, M. Hatt, O. Acosta, R. de Crevoisier Haralick’s texture features on T2-weighted MR imaging are predictive of biochemical recurrence after prostate cancer radiotherapy Journal of Magnetic Resonance Imaging 45(1):103-117
M. Hatt, F. Tixier, L. Pierce, P. Kinahan, C. Cheze-Le Rest, D. Visvikis Characterization of PET/CT images using texture analysis: the past, the present… any future? [Review] European Journal of Nuclear Medicine and Molecular Imaging 44(1):151-165
2016
M. Hatt, F. Tixier, D. Visvikis, C. Cheze-Le Rest Radiomics in PET/CT: more than meets the eye? [Invited perspective] Journal of Nuclear Medicine 58(3):365-366
C. Bailly, M. Hatt, S. Le Gouill, F. Kraeber-Bodéré, D. Visvikis, C. Bodet-Milin, T. Carlier Analysis of intratumor heterogeneity robustness derived from FDG-PET in mantle cell lymphoma patients enrolled in the Lyma trial Médecine Nucléaire 40(4):297-306
C. Lasnon, M. Majdoub, B. Lavigne, P. Do, J. Madelaine, D. Visvikis, N. Aide*, M. Hatt* 18F-FDG PET/CT heterogeneity quantification through textural features in the era of harmonisation programs: a focus on lung cancer. European Journal of Nuclear Medicine and Molecular Imaging 43(13):2324-2335
W. Grootjans*, E.A. Usmanij*, W.J.G. Oyen, E.H.F.M. van der Heijden, E.P. Visser, D. Visvikis, M. Hatt, J. Bussink, L-F de Geus-Oei Performance of automatic image segmentation algorithms for calculating total lesion glycolysis for early response monitoring in non-small cell lung cancer patients during concomitant chemoradiotherapy Radiotherapy and Oncology 119(3):473-479
P. Lovinfosse, B. Koopmansch, F. Lambert, S. Jodogne, G. Kustermans, M. Hatt, D. Visvikis, L. Seidel, M. Polus, A. Albert, P. Delvenne, R. Hustinx 18F-FDG PET/CT imaging in rectal cancer: relationship with the RAS mutational status British Journal of Radiology 89(1063):20160212
F. Tixier, D. Vriens, C. Cheze- Le Rest, M. Hatt, J. A Disselhorst, W. JG Oyen, L-F. de Geus-Oei, E. P. Visser, D. Visvikis
Comparison of tumor uptake heterogeneity characterization between static and parametric 18F-FDG PET images in Non-Small Cell Lung Cancer Journal of Nuclear Medicine 57(7):1033-9
M-C. Desseroit, D. Visvikis, F. Tixier, M. Majdoub, R. Perdrisot, R. Guillevin,  C. Cheze Le Rest*, M. Hatt* Development of a nomogram combining clinical staging with 18F-FDG PET/CT image features in Non-Small Cell Lung Cancer stage I-III European Journal of Nuclear Medicine and Molecular Imaging 43(8):1477-1485
A. Paumier, A. Marquis, P. Trémolière, M. Lacombe, O. Capitain, A-L. Septans, G. Peyraga, P. Gustin, A. Venara, E. Menager, D. Visvikis, O. Couturier, E. Rio, M. Hatt Valeur pronostique du volume tumoral métabolique sur la TEP au (18F)-fluorodésoxyglucose préthérapeutique pour le cancer de l'oesophage localisé Cancer Radiothérapie 20(1);24-29
P. Lovinfosse, Z. L. Janvary, P. Coucke, S. Jodogne, C. Bernard, M. Hatt, D. Visvikis, N. Jansen, B Duysinx, R Hustinx FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy European Journal of Nuclear Medicine and Molecular Imaging 43(8):1453-1460
2015
M. Hatt, D. 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. [Letter to the editor] Computerized Medical Imaging and Graphics 46(3):30-31
T. Upadhaya, Y. Morvan, E. Stindel, P-J. Le Reste, M. Hatt A framework for multimodal imaging-based prognostic model building: preliminary study on multimodal MRI in Glioblastoma Multiforme Ingénierie et Recherche BioMédicale 36(6):345–350
J. Lapuyade-Lahorgue, D. Visvikis, O. Pradier, C. Cheze Le Rest, M. Hatt SPEQTACLE: an automated generalized fuzzy C-means algorithm for tumor delineation in PET Medical Physics 42(10):5720
D. Groheux, M. Majdoub, F. Tixier, C. Cheze Le Rest, A. Martineau, P. Merlet, M. Espié, A. de Roquancourt, E. Hindié, D. Visvikis*, M. Hatt* Do clinical, histological or immunohistochemical primary tumor characteristics translate into different 18FDG-PET/CT volumetric and heterogeneity  features in stage II-III breast cancer? European Journal of Nuclear Medicine and Molecular Imaging 42(11):1682-91
M. Hatt, F. Tixier, C. Cheze Le Rest, D. Visvikis Nouveaux indices en TEP/TDM : mythes et réalités [Review] Médecine Nucléaire 39(3):331-338
D. Groheux, A. Sanna, M. Majdoub, P. de Cremoux, S. Giacchetti, L. Teixeira, M. Espié, P. Merlet, , A. de Roquancourt, D. Visvikis, M. Hatt, M. Resche-Rigon, Elif Hindié Baseline tumor 18FDG uptake and modifications after 2 cycles of neoadjuvant chemotherapy are prognostic of outcome in ER+/HER2- breast cancer Journal of Nuclear Medicine 56(6):824-831
D. Groheux, M. Majdoub, A. Martineau, D. Visvikis, M. Espié, M. Hatt, E. Hindié Early metabolic response to neoadjuvant treatment: 18FDG-PET/CT criteria according to breast cancer subtype Radiology 277(2):358-71
B. Henriques de Figueiredo, C. Zacharatou, S. Galland-Girodet, J. Benech, H. De Clermont-Gallerande, F. Lamare, M. Hatt, L. Digue, E. De Mones Del Pujol, P. Fernandez Hypoxia imaging with [18F]-FMISO-PET for guided dose escalation with intensity-modulated radiotherapy in head-and-neck cancers Strahlentherapie und Onkologie 191(3):217-224
M. Hatt, M. Majdoub*, M. Vallières*, F. Tixier, C. Cheze Le Rest, D. Groheux, E. Hindié, A. Martineau, O. Pradier, R. Hustinx, R. Perdrisot, R. Guillevin, I. El Naqa, D. Visvikis FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort Journal of Nuclear Medicine 56(1):38-44
2014
B. Henriques de Figueiredo, M. Antoine, R. Trouette, P. Lagarde, A. Petit, F. Lamare, M. Hatt, P. Fernandez Use of FDG-PET to guide dose prescription heterogeneity in stereotactic body radiation therapy for lung cancers with volumetric modulated arc therapy: a feasibility study Radiation Oncology 9(1):300
F. Tixier,  A. M Groves, V. Goh, M. Hatt, P.Ingrand, C. Cheze Le Rest, D. Visvikis Correlation of intra-tumor 18F-FDG uptake heterogeneity indices with perfusion CT derived parameters in colorectal cancer PLOS ONE 13;9(6):e99567
D. Groheux, E. Hindié, S. Giacchetti, A-S. Hamy, F. Berger, P. Merlet, A. de Roquancourt, P. de Cremoux, M. Marty, M. Hatt, M. Espié Early assessment with 18FDG-PET/CT can help predict the outcome of neoadjuvant chemotherapy in triple negative breast cancer European Journal of Cancer 50(11):1864-71
N. Withofs, C. Bernard, C. van der Rest, P. Martinive, M. Hatt, S. Jodogne, D. Visvikis, J.A. Lee,  P. Coucke, R. Hustinx FDG PET/CT for rectal carcinoma radiotherapy treatment planning: Comparison of functional volume delineation algorithms and clinical challenges Journal of Applied Clinical Medical Physics 15(5):4696
F. Tixier, M. Hatt, C. Valla, V. Fleury, C. Lamour, S. Ezzouhri, P. Ingrand, R. Perdrisot, D. Visvikis, C. Cheze-Le Rest Visual versus quantitative assessment of intra-tumor 18F-FDG PET uptake heterogeneity: prognostic value in Non-Small Cell Lung Cancer Journal of Nuclear Medicine 55(8):1235-1241
D. Visvikis, F. Monnier, J. Bert, M. Hatt, H. Fayad PET/MR attenuation correction: where do we come from and where are we going [Editorial] European Journal of Nuclear Medicine and Molecular Imaging 41:1172-1175
2013
A.I.J. Arens, E.G.C. Troost, B.A.W. Hoeben, W. Grootjans, J.A. Lee, V. Grégoire, M. Hatt, D. Visvikis, J. Bussink, W.J.G. Oyen, J.H.A.M. Kaanders, E.P. Visser Semi-automatic methods for segmentation of the proliferative tumour volume on sequential FLT-PET/CT images in head and neck carcinomas and their relation to clinical outcome European Journal of Nuclear Medicine and Molecular Imaging 40(5):915-924
P. Papadimitroulas, G. Loudos, A. Le Maitre, M. Hatt, F. Tixier, N. Efthimiou, D. Visvikis, G. C. Nikiforidis, G. C. Kagadis Investigation of realistic PET simulations incorporating tumor patient’s specificity using anthropomorphic models: Creation of an oncology database Medical Physics 40(11):2506
B. Henriques de Figueriredo, T. Merlin, H. de Clermont-Gallerande, M. Hatt, D. Vimont, P. Fernandez, F. Lamare Potential use of 18F-Fluoromisonidazole positron emission tomography for radiotherapy planning in head and neck squamous cell carcinomas Strahlentherapie und Onkologie 189(12):1015-1019
D. Groheux, S. Giacchetti, M. Hatt, M. Marty, L. Vercellino, A. de Roquancourt, C. Cuvier, F. Coussy, M. Espié, E. Hindié HER2-overexpressing breast cancer: FDG uptake after two cycles of chemotherapy predicts the outcome of neoadjuvant treatment British Journal of Cancer 109:1157-1154
M. Hatt*, F. Tixier*, C. Cheze-Le Rest, O. Pradier, D. Visvikis Robustness of intra-tumor 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in esophageal carcinoma European Journal of Nuclear Medicine and Molecular Imaging 40(11):1662-1671
A. Le Pogam, H. Hanzouli, M. Hatt, C. Cheze Le Rest, D. Visvikis Denoising of PET images by combining wavelets and curvelets for improved preservation of resolution and quantitation Medical Image Analysis 17(8):877-891
D. Groheux, M. Hatt, E. Hindié, S. Giacchetti, P. de Cremoux, J. Lehmann-Che, A. Martineau, M. Marty, C. Cuvier, C. Cheze-le Rest, A. de  Roquancourt, D. Visvikis, M Espié Estrogen receptor-positive/HER2-negative breast tumors: Early prediction of chemosensitivity with 18F-FDG PET/CT during neoadjuvant chemotherapy Cancer 109(11):1960-1968
M. Hatt, D. Groheux, A. Martineau, M. Espié, E. Hindié, S. Giacchetti, A. de Roquancourt, D. Visvikis, C. Cheze-Le Rest Comparison between 18F-FDG PET image derived indices for early prediction of response to neoadjuvant chemotherapy in breast cancer  Journal of Nuclear Medicine 54(3):341-349
2012
M. Hatt*, A. Le Maitre*, D. Wallach*, H. Fayad, D. Visvikis Comparison of different methods of incorporating respiratory motion for lung cancer tumor volume delineation on PET images: a simulation study Physics in Medicine and Biology 57(22):7409-7430
A. Le Pogam, F. Lamare, M. Hatt, P. Fernandez, D. Visvikis MRI data driven partial volume effects correction in PET imaging using 3D local multi resolution analysis Journal of Nuclear Instruments and Methods in Physics Research, A 702:39-41
F. Tixier, D. Visvikis, M. Hatt, L. Corcos, C. Cheze-Le Rest Reply: Marker selection based on only reproducibility can be questioned [Authors' response] Journal of Nuclear Medicine 53(12):1993
D. Visvikis, M. Hatt, F. Tixier, C. Cheze-Le Rest The age of reason for FDG PET image derived indices [Editorial] European Journal of Nuclear Medicine and Molecular Imaging 39(11):1670-1672
L. Heijmen, L-F. de Geus-Oei, J.H.W. de Wilt, D. Visvikis, M. Hatt, E.P. Visser, J. Bussink, C.J.A. Punt, W.J.G. Oyen, H.W.M. van Laarhoven  Reproducibility of functional volume and activity concentration in 18F-FDG PET/CT of liver metastases in colorectal cancer European Journal of Nuclear Medicine and Molecular Imaging 39(12):1858-1867
A. Le Maitre, M. Hatt, C. Cheze-Le Rest, O. Pradier, D. Visvikis Impact of the accuracy of automatic tumour functional volume delineation on radiotherapy treatment planning Physics in Medicine and Biology 57(17):5381-5397
M. Hatt, R. van Stiphout, A. Le Pogam, G. Lammering, D. Visvikis, P. Lambin Early prediction of pathological response in locally advanced rectal cancer based on sequential 18F-FDG PET Acta Oncologica 52(3):619-626
S. David, D. Visvikis, G. Quellec, C. Cheze-Le Rest, P. Fernandez, M. Allard, C. Roux, M. Hatt Image change detection using paradoxical theory for patient follow-up quantitation and therapy assessment IEEE Transactions on Medical Imaging 31(9):1743-53
F. Tixier, M. Hatt, C. Cheze Le Rest, A. Le Pogam, L. Corcos, D. Visvikis Reproducibility of Tumor Uptake Heterogeneity Characterization Through Textural Feature Analysis in 18F-FDG PET Journal of Nuclear Medicine 53(5):693-700
M. Hatt, N. Boussion, C. Cheze-le Rest, D. Visvikis, O. Pradier Metabolically active volumes automatic delineation methodologies in PET imaging: review and perspectives [Review] Cancer Radiothérapie 16:70-81
M. Hatt, A. Le Pogam, D. Visvikis, O. Pradier, C. Cheze le Rest Impact of partial volume effects correction on the predictive and prognostic value of baseline 18F-FDG PET images in esophageal cancer Journal of Nuclear Medicine 53(1):12-20
2011
M. Hatt, C. Cheze le Rest, A. van Baardwijk, P. Lambin, O. Pradier,  D. Visvikis Impact of Tumor Size and Tracer Uptake Heterogeneity in 18F-FDG PET and CT Non–Small Cell Lung Cancer Tumor Delineation Journal of Nuclear Medicine 52(11):1690-1697
S. David, D. Visvikis, C. Roux, M. Hatt Multi-observation PET image analysis for patient follow-up quantitation and therapy assessment Physics in Medicine and Biology 56(18):5771-88
A. Le Pogam, M. Hatt, P. Descourt, N. Boussion, C. Tsoumpas, FE. Turkheimer, C. Prunier-Aesch, J-L. Baulieu, D. Guilloteau, D. Visvikis Evaluation of a 3D local multi-resolution algorithm for the correction of partial volume effects in positron emission tomography Medical Physics 38(9):4920-4933
M. Hatt, D. Visvikis, O. Pradier, C. Cheze-le Rest Baseline 18F-FDG PET image derived parameters for therapy response prediction in œsophageal cancer European Journal of Nuclear Medicine and Molecular Imaging 38(9):1595-1606
M. Hatt, D. Visvikis, C. Cheze Le Rest Regarding Autocontouring and Manual Contouring: Which Is the Better Method for Target Delineation Using 18F-FDG PET/CT in Non–Small Cell Lung Cancer? By K. Wu et al [Letter to the editor] Journal of Nuclear Medicine 52(4):658
F. Tixier, C. Cheze Le Rest, M. Hatt, N. M. Albarghach, O. Pradier, J-P. Metges, L. Corcos, D. Visvikis Intra-tumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radio-chemotherapy in esophageal cancer Journal of Nuclear Medicine 52(3):369-378
M. Hatt, D. Visvikis, N. M. Albarghach, F. Tixier, O. Pradier, C. Cheze-le Rest Prognostic value of 18F-FDG PET image-based parameters in oesophageal cancer and impact of tumour delineation methodology European Journal of Nuclear Medicine and Molecular Imaging 38(7):1191-1202
M. Hatt, C. Cheze le Rest, N. M. Albarghach, O. Pradier, D. Visvikis PET functional volume delineation: a robustness and repeatability study European Journal of Nuclear Medicine and Molecular Imaging 38(4):663-672
2010
M. Hatt, C. Cheze-Le Rest, E. O. Aboagye, L. M. Kenny, L. Rosso, F. E. Turkheimer, N. M. Albarghach, O. Pradier, D. Visvikis Reproducibility of 18F-FDG and 3′-Deoxy-3′-18F-Fluorothymidine PET Tumor Volume Measurements Journal of Nuclear Medicine 51(9):1368-1376
M. Hatt, D. Visvikis Defining radiotherapy target volumes using 18F-Fluoro-Deoxy-Glucose Positron Emission Tomography: still a Pandora box?: in regard to Devic et al [Letter to the editor] International Journal of Radiation Oncology Biology Physics 78(5):1605
M. Hatt, C. Cheze le Rest, P. Descourt, A. Dekker, D. De Ruysscher, M. Oellers, P. Lambin, O. Pradier,  D. Visvikis Accurate Automatic Delineation of Heterogeneous Functional Volumes in Positron Emission Tomography for Oncology Applications International Journal of Radiation Oncology Biology Physics 77(1):301-308
2009
A. Le Maitre, W.P. Segars, S. Marache, A. Reilhac, M. Hatt, S. Tomei, C. Lartizien, D. Visvikis Incorporating patient specific variability in the simulation of realistic whole body 18F-FDG distributions for oncology applications Proceedings of the IEEE (Special Issue on Computational anthropomorphic anatomical models) 97(12):2026-2038
M. Hatt, C. Cheze le Rest, A. Dekker, D. De Ruysscher, M. Oellers, P. Lambin, C. Roux,  D. Visvikis Une nouvelle méthode de détermination automatique des volumes fonctionnels pour les applications de l’imagerie d’émission en oncologie Ingénierie et Recherche BioMédicale (numéro spécial RITS 2009) 34(4):144-149
M. Hatt, A. Turzo, C. Roux, D. Visvikis A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET IEEE Transactions on Medical Imaging 28(6):881-893
N. Boussion, C. Cheze Le Rest, M. Hatt, D. Visvikis Incorporation of wavelet based denoising in iterative deconvolution for partial volume correction in whole body PET imaging European Journal of Nuclear Medicine and Molecular Imaging 36(7):1064-1075
2008
N. Boussion, M. Hatt, F. Lamare, C. Cheze Le Rest, D. Visvikis Contrast enhancement in emission tomography by way of synergistic PET/CT image combination Computer Methods and Programs in Biomedicine 90(3):191-201
2007
M. Hatt, F. Lamare, N. Boussion, A. Turzo, C. Collet, F. Salzenstein, C. Roux, K. Carson, P. Jarritt, C. Cheze-Le Rest, D. Visvikis Fuzzy hidden Markov chains segmentation for volume determination and quantitation in PET Physics in Medicine and Biology 52(12):3467-3491
F. Salzenstein, C. Collet, S. Lecam, M. Hatt Non-stationary fuzzy Markov chain Pattern Recognition Letters 28(16):2201-2208
2006
N. Boussion, M. Hatt, F. Lamare, Y. Bizais, A. Turzo, C. Cheze-Le Rest, D. Visvikis A multiresolution image based approach for correction of partial volume effects in emission tomography  Physics in Medicine and Biology 51(7):1857-1866