| Articles originaux en
journaux à comité
de lecture |
Auteurs
* contribution égale |
Titre |
Journal |
Détails |
| 2025 |
| J. Thariat,
Z. Mesbah, Y. Chahir, A. Beddok, A. Blache, J. Bourhis, A. Fatallah, M.
Hatt, R. Modzelewski |
Flap Auto-Segmentation of Flaps after Reconstructive
Surgery in Head and Neck Cancer using a nnUNet-windowing model |
Scientific
Reports |
en
révision |
| MD.
Ibrahim, D.
Visvikis, O. Acosta,
R. De Crevoisier, M.
Hatt |
Comparison of Machine Learning Pipelines for Prediction
of Rectal Bleeding after Prostate Cancer Radiotherapy |
IEEE
Transactions on Radiation and Plasma Medical Sciences |
en
révision |
| A. H.
Chehade, N. Abdallah, J-M. Marion, M.
Hatt, M. Oueidat, P. Chauvet |
CycleGAN-Based Chest X-ray Image Segmentation Approach
for Enhanced Multi-Label Chest Disease Classification |
Artificial
Intelligence in Medicine |
accepté |
A. H.
Chehade, N. Abdallah, J-M. Marion, M.
Hatt, M. Oueidat, P. Chauvet
|
Advancing Chest X-Ray Diagnostics: A Novel CycleGAN-Based
Preprocessing Approach for Enhanced Lung Disease Classification in
Chest X-Ray14 |
Computer
Methods and Programs in Biomedicine |
259:108518 |
| J. Li,
(...), M. Hatt, (...), J. Egger |
MedShapeNet – a large-scale dataset of 3D medical
shapes for computer vision |
Biomedical
Engineering / Biomedizinische Technik |
70(1):71-90 |
| 2024 |
T.
Louis, F. Lucia, F. Cousin, C. Mievis, N. Jansen, B. Duysinx, R. Le
Pennec, D. Visvikis, M. Nebbache, M. Rehn, M. Hamya, M. Geier, P-Y.
Salaun, U. Schick, M. Hatt, P.
Coucke, P. Lovinfosse, R. Hustinx
|
Identification
of CT radiomic features robust to acquisition and segmentation
variations for improved prediction of radiotherapy-treated lung cancer
patient recurrence |
Scientific
Reports |
14:9028 |
V.
Hage Chehade, N. Abdallah, J-M. Marion, M. Hatt, M. Oueidat, P. Chauvet
|
A Systematic Review: Classification of Lung Diseases from
Chest X-Ray Images Using Deep Learning Algorithms |
SN
Computer Science |
5,
405 |
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 |
51:1097-1108 |
| 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 »
XIVe édition du workshop organisé par le réseau
« Vectorisation, Imagerie, Radiothérapies » du
Cancéropôle Grand-Ouest, 22–25 septembre 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, J.O. 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.M 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 [Revue] |
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 [Revue] |
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 [Revue] |
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 [Revue] |
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? [Revue] |
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 [Editorial] |
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 [Revue] |
British
Journal of Radiology |
92(1104):20190105 |
| M. Hatt, F. Lucia, U. Schick, D.
Visvikis |
Multicentric radiomics studies: challenges and
opportunities [Perspective
invitée] |
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 [Revue] |
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 [Revue] |
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 [Revue] |
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 [Revue] |
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 [Revue] |
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? [Revue] |
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? [Perspective
invitée] |
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. [Lettre à
l'éditeur] |
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 [Revue] |
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 [Réponse des
auteurs] |
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 [Revue] |
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 [Lettre à l'éditeur] |
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 [Lettre à l'éditeur] |
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 |
