| Communications
orales et posters en congrès |
| B.
Ecsedi, et al. In the search of optimal
hyperparameter and network configurations of the novel DEBI-NN neural
network for increased generalizability in small medical datasets,
EANM 2024 |
| A.
Boukhari, et al. DEBI-NN Architecture Evaluation:
Implications of Dataset Imbalance and Spatial Dropout on Performance,
EANM 2024 |
| P.
Soto Vega, et al. Prediction of Acute Pulmonary
Toxicity Events with 3D Convolutional Neural Networks from Radiotherapy
Dose Maps,
ICCR 2024 |
| A.
Fatallah, et al. Comparative Analysis of Deep Learning
Models for Flap Segmentation in Head and Neck Computed Tomography
Images: A Generalization Study,
ICCR 2024 |
| A.
Boukhari, et al. Three-dimensional visualization of
DEBI-NNs for supporting interpretability of predictive models relying
on neural networks,
ICCR 2024 |
| J.
Thariat, et al. Fully Automatic Flap Segmentation
through Deep Learning Methods to Refine Head and Neck Cancer Pos
toperative Radiotherapy, a GORTEC study,
ICCR 2024 |
| S.
Bengoufa, et al. Harmonizing multicentric T1-weighted
magnetic resonance imaging of children with ependymomas: can deep
learning based image synthesis help?,
ICCR 2024 |
| N.
Abdallah, et al. Integrating Radiomics Harmonization
and Deep Survival Analysis for Enhanced Predictive Modeling in a
Multicentric Context,
ICCR 2024 |
| F.
Lucia, et al. Multicentric PET radiomics models to
predict recurrence in lung cancer treated by radiation therapy,
ESTRO 2024 |
| F.
Tensaouti, et al. Relapse Risk stratification in
pediatric ependymoma patients using clinical data and radiomics,
ESTRO 2024 |
| S.
Supiot, et al. Dosimetric evaluation of
Biology-guided Radiotherapy for locally recurrent prostate cancer,
ESTRO 2024 |
| Z.
Mesbah, et al. Segmentation automatique des lambeaux
dans la planification de la radiothérapie postopératoire
du cancer de la tête et du coup, une étude GORTEC,
SFRO
2023 |
| N.
Abdallah, et al. Deep Learning-Based Outcome
Prediction Using Harmonized CT Images for Head and Neck Cancer
Patients: A Novel Approach with Attention and DeepHitSingle, IEEE
NSS-MIC 2023 |
| N.
Abdallah, et al. Improving Outcome Prediction in
Multicentric Data: Novel Harmonization Techniques and MCA-Based
Imputation for Radiomic Feature Analysis,
EANM 2023 |
| N.
Abdallah, et al. Improving Outcome Prediction in
Multicentric Data: Novel harmonization and clustering Techniques for
Radiomic Feature Analysis,
EANM 2023 |
| N.
Abdallah, et al. Predicting progression-free survival
from FDG PET/CT images in head and neck cancer : comparison of
different pipelines and harmonization strategies in the HECKTOR 2021
challenge dataset, IEEE
NSS-MIC 2022 |
| W.
Marchadour,
et al. Comparison of attribution maps method
for interpretability of deep neural networks in the context of computed
tomography images classification, IEEE
NSS-MIC
2022 |
| H.
Xu, et al. Radiomics prognostic modeling in
multi-center head and neck tumor PET/CT imaging of HECKTOR challenge
2021, RITS
2022 |
| W.
Marchadour, et al. Comparison of interpretability
methods in the context of deep neural networks for radiomics application,
RITS
2022 |
| H.
Xu, et al. Comparison of progressive ComBat for
harmonization of radiomics features in multi-center head and neck tumor
FDG PET/CT dataset from HECKTOR Challenge 2021, SNMMI
2022 |
| H.
Xu, et
al. Impact of intra-tumoral,
peri-tumoral, and annular-tumoral radiomic features on prognostic
modeling in multi-center head and neck tumor PET/CT imaging of HECKTOR
challenge 2021,
SNMMI 2022 |
| W.
Marchadour, et al. Comparison of interpretability
methods in the context of deep neural networks for radiomics application, SNMMI
2022 |
| W.
Marchadour, et al. Evaluation of importance estimators
in deep learning classifiers for Computed Tomography,
EXTRAAMAS 2022 |
| R.
Da-ano, et al. Comparison of multicentre
harmonization strategies: ComBat harmonization vs. pre-selection based
on robustness,
EANM 2021 (top rated abstract) |
| A.
Iantsen, et al. Fully
Automated Detection and Segmentation of Hypermetabolic Lesions in
Pretherapeutic [18F]FDG PET / CT Images of Lymphoma and Sarcoidosis
Patients,
EANM 2021 (top rated abstract) |
| F.
Tixier, et al. MIRAS: an end-to-end solution with a
graphical user interface for radiomics,
EANM 2021 (top rated abstract) |
| R.
Da-ano, et al. Pre-selecting radiomic features based
on their robustness to changes in imaging properties of multicentre
data: impact on predictive modelling performance compared to ComBat
harmonization of all available features,
SNMMI 2021 (young investigator award symposium) |
| A.
Iantsen, V. Jaouen, D. Visvikis, M. Hatt,
Squeeze-and-Excitation Normalization
for Automated Delineation of Head and Neck Primary Tumors in Combined
PET and CT Images, MICCAI
Hecktor challenge,
2020 |
| A.
Iantsen, V. Jaouen, D. Visvikis, M. Hatt,
SE Normalization for Brain Tumor
Segmentation, International
MICCAI Brainlesion Workshop,
2020 |
| R.
Da-ano, F. Lucia, I. Masson, A. Mervoyer, C. Reinhold, P. Robin, J.
Alfieri, C. Rousseau, O. Pradier, U. Schick, D. Visvikis, M. Hatt, Multi-center
validation of radiomic models in new data using ComBat-based
harmonization of features: a transfer learning approach, IEEE
Nuclear Science Symposium and Medical Imaging Conference,
2020 |
| R.
Da-ano, F. Lucia, I. Masson, A. Mervoyer, C. Reinhold, P. Robin, J.
Alfieri, C. Rousseau, O. Pradier, U. Schick, D. Visvikis, M. Hatt, A transfer learning approach to
facilitate ComBat-based harmonization of multicentre radiomic features
in new datasets, Annual
congress of the European Association of Nuclear Medicine,
2020 |
| S.
Sanduleanu, A. Jochems, T. Upadhaya, A. J.G. Even, R. T.H.
Leijenaar, F. J.W.M. Dankers, R. Klaassen, H. C. Woodruff, M Hatt, H.
J.A.M. Kaanders, O. Hamming-Vrieze, H. W.M. van Laarhoven, R. M.
Subramiam, S. H. Huang, B. O'Sullivan, S. V. Bratman, L. J. Dubois, R.
L. Miclea, D. Di Perri, X. Geets, M. Crispin-Ortuzar, A. Apte, J. O.
Deasy, J. Hun Oh, N. Y. Lee, J. L. Humm, H. Schöder, D. De
Ruysscher, F. Hoebers, P. Lambin,
Non-invasive radiomic imaging
prediction of tumor hypoxia: a potential biomarker for FLASH
irradiation?, European SocieTy for Radiotherapy & Oncology annual
meeting,
2020 |
| MD.
Ibrahim, J. Castelli, C. Cheze Le Rest, O. Acosta, D. Visvikis, R. De
Crevoisier, M. Hatt,
Deep CNN on PET/CT images for NSCLC
automated tumor detection and outcome prediction, European SocieTy for Radiotherapy & Oncology annual
meeting,
2020 |
| I.
Masson, R. Da-ano, F. Lucia, M. Doré, J. Castelli, C. Goislard
de
Monsabert, J.F. Ramée, S. Sellami, D. Visvikis, M. Hatt, U.
Schick. Development of a CT based radiomic
model predictive of non-response to chemotherapy in larynx cancer,
European SocieTy for Radiotherapy & Oncology annual
meeting,
2020 |
| V.
Bourbonne, F. Lucia, G. Dissaux, J. Bert, D. Visvikis, O. Pradier, M.
Hatt, U. Schick. Pulmonary toxicity in lung cancer
treated by (chemo)-radiotherapy : a radiomics-based NTCP., European SocieTy for Radiotherapy & Oncology annual
meeting,
2020 |
| G.
Dissaux, MD. Ibrahim, F. Lucia, V. Bourbonne, N. Boussion, O. Pradier,
D. Visvikis, A. Valeri, J. Bert, M. Hatt, U. Schick. Rectal toxicity prostate cancer
treated with Brachytherapy: a radiomics-machine learning based NTCP,
European SocieTy for Radiotherapy & Oncology annual
meeting,
2020 |
| F.
Lucia, V. Bourbonne, G. Dissaux, O. Miranda, G. Dissaux, U. Schick, D.
Visvikis, J. Bert, M. Hatt, R. Abgral, Radiomics applied to dose
distributions to predict toxicity after radiotherapy in cervical cancer
, European SocieTy for Radiotherapy & Oncology annual
meeting,
2020 |
| F.
Lucia, D. Visvikis, V. Bourbonne, J. Bert, R. Abgral, G. Dissaux, O.
Miranda, O. Pradier, M. Hatt, U. Schick, Suboptimal dosimetric coverage of
PET/CT hotspots is associated with recurrence for cervical cancer,
European SocieTy for Radiotherapy & Oncology annual
meeting,
2020 |
| E.
Mylona, F. Filias, MD Ibrahim, S. Supiot, G. Creange, N. Magne, M.
Hatt, O. Acosta, R. De Crevoisier,
Machine Learning and Oversampling
techniques to predict urinary toxicity after prostate cancer RT,
European SocieTy for Radiotherapy & Oncology annual
meeting,
2020 |
| MD.
Ibrahim, E. Mylona, N. Boussion, O. Acosta, R. De Crevoisier, M. Hatt,
Machine learning methods to predict
rectal bleeding after prostate cancer radiotherapy, European SocieTy for Radiotherapy & Oncology annual
meeting,
2020 |
| M.
Hatt, S.
Sepehri, T. Upadhaya, D. Visvikis, C. Cheze
Le Rest, Consensus
of machine learning pipelines for outcome prediction relying on
clinical and radiomics features from 18F-FDG PET/CT images in non-small
cell lung cancer, Annual
congress of the European Association of Nuclear Medicine,
2019 |
| A.
Iantsen, F. Lucia, M. Ferreira, P. Bonaffini, I. Masson, A. Mervoyer,
C. Reinhold, P. Lovinfosse, R. Hustinx, M. De Cuypere, F. Kridelka, U.
Schick, D. Visvikis, M. Hatt, Automated Cervical Primary Tumor
Functional Volume Segmentation in PET Images, Annual
congress of the European Association of Nuclear Medicine,
2019 |
| R.
Da-ano, F. Lucia, M. Vallières, P. Bonaffini, I. Masson, A.
Mervoyer, C. Reinhold, U. Schick, D. Visvikis,
M. Hatt, Harmonization strategies based on
ComBat for mutlicentric radiomics studies, Annual
congress of the European Association of Nuclear Medicine,
2019 |
| E.
Solari, A. Gafita, B. Laurent, T. Amiel, R. Tauber, D. Visvikis, W.
Weber, M. Eiber, M. Hatt, S. G. Nekolla,
Preliminary evaluation of PSMA PET/MR
radiomics for primary staging in patients with prostate cancer, Annual
congress of the European Association of Nuclear Medicine,
2019 |
| MD.
Ibrahim, D. Visvikis, C. Cheze
Le Rest,
M. Hatt, Relying
on deep convolutional neural networks on PET/CT images for stage II and
III non-small cell lung cancer outcome prediction, Annual
congress of the European Association of Nuclear Medicine,
2019 |
| A.
Iantsen, V. Jaouen, D. Visvikis, M. Hatt,
Encoder-Decoder Network for Brain
Tumor Segmentation on Multi-sequence MRI, MICCAI
2019 Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic
Brain Injuries. Lecture Notes in Computer Science, vol 11993.
Springer,
Cham, 2019 |
| S.
Sepehri, T. Upadhaya, D. Visvikis, C. Cheze
Le Rest, M.
Hatt,
Fusion
of machine learning algorithms for building prognostic models in
non-small cell lung cancer using clinical and radiomics features from
18F-FDG PET/CT images, GRETSI,
2019 |
| G.
Dissaux, M. Hatt, D. Visvkis, O. Pradier, E. Chajon, I. Barrilot,
L.
Duverge, I. Masson, R. Abgral, M. Santiago-Ribeiro, A. Devillers, F.
Kraeber-Bodéré, M. Mahé, R. De Crevoisier, U.
Schick,
PET/CT Radiomics predict local
recurrence in patients treated with SBRT for early-stage NSCLC, European SocieTy for Radiotherapy & Oncology annual
meeting,
2019 |
| S.
Sellami, D. Bouzid, M. Hatt, D. Visvkis, F. Lucia, O. Pradier, M.
Hatt,
U. Schick,
Predictive response to radiotherapy
of head and neck cancer using radiomics analyses of CBCT, European SocieTy for Radiotherapy & Oncology annual
meeting,
2019 |
| F.
Lucia, D. Visvkis, M. Vallières, D. Visvikis, M-C. Desseroit, O.
Miranda, P. Robin, P. A.
Bonaffini, J. Alfieri, I. Masson, A. Mervoyer, C. Reinhold, O. Pradier,
M. Hatt,
U. Schick,
Validation of a combined PET and MRI
radiomics model for prediction of recurrence in cervical cancer,
European SocieTy for Radiotherapy & Oncology annual
meeting,
2019 |
| V.
Bourbonne, M. Vallières, F. Lucia, G. Fournier, A.
Valéri, D. Visvikis, V. Tissot, O. Pradier, M. Hatt, U.
Schick, MRI-derived radiomics to select
patients with high-risk prostate cancer for adjuvant radiotherapy, European SocieTy for Radiotherapy & Oncology annual
meeting,
2019 |
| 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, D. De Ruysscher, F. Hoebers, P. Lambin, Non-invasive imaging for tumor
hypoxia: a novel validated CT and FDG-PET-based Radiomic signature, European SocieTy for Radiotherapy & Oncology annual
meeting,
2019 |
| F.
Lucia, M. Vallières, D. Visvikis, O. Miranda, P. Robin, P. A.
Bonaffini, J. Alfieri, I. Masson, A. Mervoyer, C. Reinhold, O. Pradier,
U. Schick, M. Hatt, Prédiction de la
récidive et du contrôle local dans le cancer du col de
l'utérus par modélisation radiomique:
développement et validation externe, Congrès
national d'imagerie du vivant,
2019 |
| S.
Sepehri, T. Upadhaya, M-C.
Desseroit, D. Visvikis, C. Cheze
Le Rest, M. Hatt, Comparison
of machine learning algorithms, and pre-processing, for building
prognostic models in non-small cell lung cancer using clinical and
radiomics features from 18F-FDG PET/CT images, Annual
congress of the European Association of Nuclear Medicine,
2018 |
| V.
Jaouen, L. Gaubert, J. Bert, M. Hatt, D. Visvikis, Image Filtering with Advectors,
25th
IEEE International Conference on Image Processing (ICIP),
2018 |
| M.
Vallières, A. Chatterjee, F. Lucia, V. Bourbonne, P.
Bonaffini, I. Masson, A. Mervoyer, C. Reinhold, D.
Visvikis, U. Schick, J. Seuntjens, O. Morin, M. Hatt, Investigating the complementarity of
radiomics and clinical information for predicting treatment failure in
multiple cancer types, American
Association of Physicists in Medicine annual meeting,
2018 |
| M.
Hatt, M. Vallières, A. Zwanenburg, IBSI: an international community
radiomics standardization initiative, Society
of
nuclear
medicine and molecular imaging annual meeting,
2018 |
| S.
Sepehri, T. Upadhaya, M-C.
Desseroit, D. Visvikis, C. Cheze
Le Rest, M. Hatt, Comparison
of machine learning algorithms for building prognostic models in
non-small cell lung cancer using clinical and radiomics features from
18F-FDG PET/CT images, Society
of
nuclear
medicine and molecular imaging annual meeting,
2018 |
| M.
Vallières, D. Visvikis, M. Hatt, Dependency of a validated radiomics
signature on tumour volume and potential corrections, Society
of
nuclear
medicine and molecular imaging annual meeting,
2018 |
| M.Hatt,
M-C.
Desseroit, B. Laurent, D. Visvikis, C. Cheze
Le Rest, Revisiting
the identification of tumor sub-volumes predictive of residual uptake
after (chemo)radiotherapy: comparison of segmentation methods on
18F-FDG PET/CT images, Society
of
nuclear
medicine and molecular imaging annual meeting,
2018 |
| M.
Hatt, B. Laurent, H. Fayad, V.
Jaouen, D.
Visvikis, Dependency of tumor functional
sphericity on PET delineation method, IEEE
Nuclear
Science Symposium and Medical Imaging Conference, 2017 |
| T.
Upadhaya, G. Disseaux, P-J. Le Reste, U. Schick, M.
Hatt.
Multimodal
MRI-derived radiomics for GBM prognostic model: comparison of machine
learning algorithms for overall and progression free survival, 2ème
congrès national d'imagerie du vivant,
2017 |
| F.
Lucia, D. Visvikis, M-C. Desseroit, O. Miranda, P. Robin, O. Pradier,
U. Schick, M. Hatt, Prediction
of outcome using pretreatment 18F-FDG PET/CT and multimodal MRI
radiomics in locally advanced cervical cancer treated with
chemoradiotherapy, 2ème
congrès national d'imagerie du vivant,
2017 |
| M.
Hatt, B.
Laurent, H. Fayad, V.
Jaouen, D.
Visvikis, C. Cheze Le Rest, Tumor functional sphericity from PET
images: prognostic value in NSCLC and impact of delineation method, 2ème
congrès national d'imagerie du vivant,
2017 |
| S.
Sanduleanu, T. Upadhaya, A.J.G.
Even,
A. Jochems, R.T.H.
Leijenaar,
F. Dankers, M. Hatt, J.H.A.M.
Kaanders,
P. Lambin, Non-invasive imaging for tumor
hypoxia: a novel externally validated CT-based radiomics signature,
The
15th Acta Oncologica conference on biology-guided adaptive
radiotherapy,
2017 |
| M-C.
Desseroit, F. Tixier, D. Visvikis, C. Cheze
Le Rest, M. Hatt, Prospective
validation of Support Vector Machine based prognostic models exploiting
combined PET and CT Radiomics features for Non-Small Cell Lung Cancer:
impact of image discretization in texture calculations, Society
of
nuclear
medicine and molecular imaging annual meeting,
2017 |
| F.
Legot, M. Hadzic, F. Tixier, R. Perdrisot, M-CT. Desseroit, M.
Hatt, D. Visvikis, C. Cheze
Le Rest. Identification of recurrence sites
using initial PET/CT in head and neck cancer treated by
radio-chemotherapy, Society
of
nuclear
medicine and molecular imaging annual meeting,
2017 |
| M.
Hadzic, F. Tixier, M-CT. Desseroit, F. Legot, C. Lamour, D. Visvikis,
M. Hatt, C. Cheze Le Rest. PET/CT to predict local recurrence
sites or residual disease in non small cell lung cancer treated with
radiotherapy, Society
of
nuclear
medicine and molecular imaging annual meeting,
2017 |
| M.
Hadzic, F. Tixier, L. Parquet, F. Legot, X. Dufour, A. Beby Defaux, M.
Hatt, D. Visvikis, C. Cheze Le Rest. Initial
PET/CT and expression of P16 (INK4) and human papillomavirus in locally
advanced head and neck cancer treated by radiochemotherapy, Society
of
nuclear
medicine and molecular imaging annual meeting,
2017 |
| Image
Biomarker Standardisation Initiative (IBSI), Multicenter initative for
standardisation of image biomarkers, European
SocieTy for Radiotherapy & Oncology annual meeting,
2017 |
| F.
Lucia, M-C.
Desseroit, O. Miranda, D. Visvikis, JP. Malhaire, P. Robin, O.
Pradiert, U. Schick*, M. Hatt*, Prediction of local recurrence using
pretreatment 18FDG PET/CT radiomics features in locally advanced
cervical cancer treated with chemoradiotherapy, European
SocieTy for Radiotherapy & Oncology annual meeting,
2017 |
| M-C.
Desseroit, F. Tixier, R. Perdrisot, R. Guillevin, D. Visvikis, C. Cheze
Le Rest, M. Hatt, Comparison
of three quantization methods for the calculation of textural features
in PET/CT images: impact on prognostic models in Non-Small Cell Lung
Cancer, IEEE
Nuclear
Science Symposium and Medical Imaging Conference, 2016 |
| T.
Upadhaya, Y. Morvan, E. Stindel, P-J. Le Reste, M. Hatt, Multimodal
MRI Radiomics in GBM: a Comparative Investigation of Feature Selection
and Classification Techniques for Prognostic ModelsIncluding Robustness
Assessment , IEEE
Nuclear
Science Symposium and Medical Imaging Conference, 2016 |
| A.
Ouahabi, V. Jaouen, M. Hatt, D.
Visvikis, H.
Fayad, Ant colony segmentation approach for
volume delineation in PET, IEEE
Nuclear
Science Symposium and Medical Imaging Conference, 2016 |
| V.
Jaouen, M. Hatt, H. Fayad, C. Tauber, D. Visvikis, Gradient-aided localized deformable
model for PET image segmentation, IEEE
Nuclear
Science Symposium and Medical Imaging Conference, 2016 |
| M.
Hatt, Repeatability,
robustness and reproducibility of radiomics features in routine PET/CT
images: a way towards features selection for building multiparametric
models,
Radiomics meeting 2016 |
| A.
Fargeas, O. Acosta, J-D. Ospina Arrango, A. ferhat, G. Dréan, N.
Costet, L. Albera, D. Azria, P. Fenoglietto, G. Créhange, M.
Hatt, A. Kachenoura, R. de Crevoisier, Nouvelle méthode basée
sur l’analyse en composantes indépendantes hautement
prédictive de toxicité en cas de radiothérapie
prostatique, Société
Française de Radiothérapie et Oncologie, 2016 |
| M-C.
Desseroit, F. Tixier, M. Majdoub, W.A. Weber, B.A. Siegel, C. Cheze Le
Rest, D. Visvikis, M. Hatt, Reliability of PET/CT radiomics
features in functional and morphological components of NSCLC lesions: a
repeatability analysis in a prospective a multicenter cohort, American
Association of
Physicists in Medicine annual meeting, 2016 |
| 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 semi-automatic image
segmentation algorithms for measurement of early treatment response
using 18F-PET/CT in patients with locally advanced NSCLC during
concomitant chemo-radiotherapy, Society of
nuclear
medicine and molecular imaging annual meeting, 2016 |
| M-C.
Desseroit, F. Tixier, R. Perdrisot, R. Guillevin, D. Visvikis, C. Cheze
Le Rest, M. Hatt, Nomogram for NSCLC exploiting
clinical staging, tumor volume and PET/CT heterogeneity features:
development using support vector machines in a retrospective cohort and
first validation results in prospectively recruited patients, Society
of
nuclear
medicine and molecular imaging annual meeting, 2016 |
| M-C.
Desseroit, D. Visvikis, F. Tixier, M. Majdoub, R. Perdrisot, R.
Guillevin, C. Cheze Le Rest, M. Hatt, Improving lung cancer patients
stratification using a Radiomics approach applied to routine FDG PET/CT
images, Congrès
national d'imagerie du vivant,
2016 |
| T.
Upadhaya, Y. Morvan, E. Stindel, P-J. Le Reste, M. Hatt, Prognosis
classification in glioblastoma multiforme using multimodal MRI derived
heterogeneity textural features: impact of pre-processing choices,
SPIE Medical Imaging 2016 |
| M.-C.
Desseroit, C. Cheze Le Rest, R. Perdrisot, R. Guillevin, D.
Visvikis, M. Hatt, Improving
the Identification of Tumor Sub-Volumes Associated with Residual
Disease after (chemo)radiotherapy Through Automatic Segmentation of
18F-FDG PET/CT Images, IEEE Nuclear Science Symposium
and Medical Imaging Conference, 2015 |
| P.
Tremolières,
A. Paumier, G.Peyraga, P.Gustin, S.Krhili, T. Lizée, A. Marquis,
D.Rousseau, D. Visvikis, M.
Hatt, Comparaison du GTV défini
manuellement sur la TDM au volume tumoral métabolique
segmenté automatiquement sur la TEP au 18-FDG dans le cancer de
l’œsophage localisé, 26e Congrès national de la Société
française de radiothérapie oncologique (SFRO)
2015 |
| L.
Fanchon, A. Apte, O. Dzyubak, G. Mageras, E. Yorke, D. Visvikis, M.
Hatt, S. Solomon, A. Kirov, Evaluation of the Tumor Registration
Error in Biopsy Procedures Performed Under Real Time PET/CT Guidance,
American Association of
Physicists in Medicine annual meeting, 2015 |
| F.
Tixier, C. Cheze Le Rest, M.
Hatt, X. Dufour, G. Valette, G. Potard, L. Corcos,
D.
Visvikis, 18F-FDG PET image derived tumor
features highlight altered pathways identified by trancriptomic
analysis in head and neck cancer, American Association of
Physicists in Medicine annual meeting
- Science Council session,
2015 |
| T.
Carlier, C. Bailly, M. Hatt, F. Kraeber-Bodéré, D.
Visvikis, S. Le Gouill, C. Bodet-Milin, Quantification of intratumor
heterogeneity derived from baseline FDG PET/CT in untreated mantle cell
lymphoma patients enrolled in the Lyma trial: preliminary results,
Society of
nuclear
medicine and molecular imaging annual meeting, 2015 |
| C.
Bodet-Milin, C. Bailly, M. Meignan, A. Beriollo-Riedinger, A.
Devillers, O. Hermine, T. Carlier, M. Hatt, F.
Kraeber-Bodéré, S. Le Gouill, Prognosis value of quantitative
indices derived from initial FDG PET/CT in untreated mantle cell
lymphoma patients enrolled in the Lyma trial, a LYSA study. Preliminary
results, Society of
nuclear
medicine and molecular imaging annual meeting, 2015 |
| M.
Majdoub, C. Cheze Le Rest, P. Lambin, R. Larue, L. Quero, L.
Vercellino, B.A.W. Hoeben, E.P. Visser, D. Visvikis, M. Hatt, Assessing prognostic value of 18F-FDG
PET derived functional shape features, Society of
nuclear
medicine and molecular imaging annual meeting, 2015 |
| H.
Fayad, M. Hatt,
D.
Visvikis. PET functional volume delineation
using an Ant colony segmentation approach, Society of
nuclear
medicine and molecular imaging annual meeting, 2015 |
| F.
Tixier, M. Hatt, C. Cheze Le Rest, B. Simon, S. Key, L. Corcos, D.
Visvikis, Signaling pathways alteration
involved in head and neck cancer can be identified through textural
features analysis in 18F-FDG PET, Society of
nuclear
medicine and molecular imaging annual meeting, 2015 |
| F.
Tixier, M. Hatt, P. Lambin, R. Larue, L. Quero, L. Vercellino, A.
Martineau, D. Groheux, C. Cheze-le-Rest, D. Visvikis, Prognostic value of 18F-FDG PET image
features in esophageal cancer: a multi-centric study, Society
of
nuclear
medicine and molecular imaging annual meeting, 2015 |
| 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, 18FDG
uptake and total lesion glycolysis measured at baseline and after 2
courses of neoadjuvant chemotherapy are powerful tools to predict
relapse in patients with ER+/HER2- breast cancer, Society of
nuclear
medicine and molecular imaging annual meeting, 2015 |
| D.
Groheux, M. Majdoub, F. Tixier, C. Cheze Le Rest, A. Martineau, P.
Merlet, M. Espié, A. de Roquancourt, E. Hindié, M. Hatt,
D. Visvikis, Do histopathological primary tumor
characteristics translate into different FDG uptake quantification
features in stage II-III breast cancer?, Society of
nuclear
medicine and molecular imaging annual meeting, 2015 |
| M-C.
Desseroit, M. Majdoub, F. Tixier, D. Visvikis, C. Cheze-Le Rest, M. Hatt, Quantification
of tumor heterogeneity using textural features analysis of PET and CT
images provides complementary prognostic value in stage I-III NSCLC,
Society of
nuclear
medicine and molecular imaging annual meeting, 2015 |
| M.
Hatt, H. Hanzouli, C. Cheze-Le Rest, D. Visvikis, Comparison of edge-preserving filters
for unbiased quantification in 18F-FDG PET imaging, Society
of
nuclear
medicine and molecular imaging annual meeting, 2015 |
| T.
Upadhaya, Y. Morvan, E. Stindel, P-J. Le Reste, M. Hatt, Prognosis in Glioblastoma Multiforme
patients using textural features analysis of multimodal MRI sequences,
IEEE International Symposium on Biomedical Imaging: From Nano
to Macro 2015 |
| F.
Tixier, M. Hatt, C. Cheze Le Rest, B. Simon, S. Key, L. Corcos, D.
Visvikis, Caractérisation de
l’hétérogénéité intra-tumorale
en TEP au 18FDG: reflet du transcriptome, 1ères
Journées Francophones de Médecine Nucléaire 2015 |
| F.
Tixier, M. Hatt, P. Lambin, R. Larue, L. Quero, L. Vercellino, A.
Martineau, D. Groheux, C. Cheze-le-Rest, D. Visvikis, Valeur pronostique d'indices extraits
d'images TEP au FDG dans les cancers de l'œsophage: une
étude multicentrique, 1ères
Journées Francophones de Médecine Nucléaire 2015 |
| M.C.
Desseroit, F.
Tixier, M. Majdoub, R. Guillevin, R. Perdrisot, D. Visvikis, C.
Cheze-Le Rest, M.
Hatt, Complémentarité
pronostique de l’hétérogénéité
tumorale quantifiée sur les images 18FDG
TEP et TDM de patients atteints de cancer du poumon non à
petites
cellules de stade I-III, 1ères Journées
Francophones de Médecine Nucléaire 2015 |
| J.
Lapuyade-Lahorgue, D. Visvikis, M. Hatt, SPEQTACLE: a Hilbertian norm
generalization of the Fuzzy C-Means algorithm for tumor delineation in
PET/CT images, Recherche en Imagerie et Technologies
pour la Santé 2015 |
| T.
Upadhaya, Y. Morvan, E. Stindel, P-J. Le Reste, M. Hatt, A framework for multimodal
imaging-based prognostic model building: application to multimodal MRI
in Glioblastoma Multiforme, Recherche en Imagerie et
Technologies pour la Santé 2015, session jeunes chercheurs |
| B.
Henriques, M. Antoine, R. Trouette, P. Lagarde, J. Benech, C.
Zacharatou, 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 Study of
Feasibility, American
Society for Radiation Oncology annual meeting, 2014 |
| LM.
Fanchon, AP. Apte, S. Dogan, AL. Moreira, E. Yorke, CR. Schmidtlein, S.
Carlin, M. Hatt, SB. Solomon, JO. Deasy, D. Visvikis, JL. Humm, AS.
Kirov, Spatially Accurate
Ground Truth for PET Segmentation Verification From Biopsy Specimens
Extracted Under PET/CT Guidance, American
Society for Radiation Oncology annual meeting, 2014 |
| M.
Hatt, F. Tixier, F. Monnier, M. Majdoub, M-C. Desseroit, C. Cheze Le
Rest, D. Visvikis, Traitements
et analyses d'images multimodales, France
Life Imaging - Séminaire Imagerie TEP/IRM, 2014 |
| J.
Lapuyade-Lahorgue, D. Visvikis, M. Hatt, Multi-Class
Multimodal SPEQTACLE: a New Fuzzy Clustering Algorithm for Fully
Automatic Delineation of Tumors in Multimodality Imaging, IEEE
Nuclear
Science Symposium and Medical Imaging Conference, 2014 |
| F.
Monnier, H. Fayad, J. Bert, J.
Lapuyade-Lahorgue, M. Hatt, P. Veit-Haibach, G. Delso, D.
Visvikis, Generation of
pseudo-CT from a single MRI for PET/MR attenuation correction purposes, 3rd
PSMR Conference on PET/MR and SPECT/MR, 2014 |
| P.Tremolières,
G.Peyraga, P.Gustin, S.Yossi, M.Lafont,
D.Rousseau, A.Paumier, Anne-Lise Septans, D. Visvikis, M.
Hatt, Dans le cancer de
l’œsophage localisé, quel est le meilleur facteur
pronostique mesurable sur la TEP au 18-FDG
pré-thérapeutique?, 25e Congrès national de la Société
française de radiothérapie oncologique (SFRO)
2014 |
| M.C.
Desseroit, C.
Cheze-Le Rest,
F.
Tixier, M. Majdoub, R. Guillevin, R. Perdrisot, D. Visvikis, M.
Hatt, Complementary
Prognostic Value of CT and 18F-FDG PET Non-Small Cell Lung Cancer Tumor
Heterogeneity Features Quantified Trough Texture Analysis, American
Association of Physicists in Medicine annual meeting
- Science Council session, 2014 |
| J.
Lapuyade-Lahorgue, D. Visvikis, M. Hatt, SPEQTACLE: a new fuzzy clustering
algorithm for fully automatic delineation of tumors in PET images,
Society of
nuclear
medicine and molecular imaging annual meeting, 2014 |
| F.
Renier, C.Habran, C. Bernard, F. Tixier, M. Hatt, D. Visvikis, L.
Seidel, F. Kridelka, R. Hustinx, Intensity, volume-based and texture
analyses of FDG PET/CT for predicting the outcome of patients with
locally advanced cervical cancer treated by concomitant
radiochemotherapy, Society of
nuclear
medicine and molecular imaging annual meeting, 2014 |
| F.
Tixier, M.
Hatt, S. Chezeaud, L. Corcos, C.
Cheze-Le Rest,
D.
Visvikis, 18F-FDG PET derived quantitative
heterogeneity features reflect gene expression profiles in head and
neck cancer, Society of
nuclear
medicine and molecular imaging annual meeting, 2014 |
| M.
Hatt, F. Tixier, M. Majdoub, C. Cheze-Le Rest, O. Pradier, R. Hustinx,
D. Visvikis,
Quantification
of intra-tumor 18F-FDG PET tracer uptake heterogeneity through textural
features analysis: which minimum functional tumor volume to consider?,
Society of
nuclear
medicine and molecular imaging annual meeting, 2014 |
| S.
Key, C. Cheze Le Rest, F. Tixier, S. Chezeaud, B. Simon, G. Potard, G.
Valette, Y. Gobel, M. Hatt, L. Corcos, D. Visvikis, O. Pradier,
The role of FDG PET intra-tumor
tracer uptake heterogeneity features in head and neck cancer treated by
radio-chemotherapy, Strahlentherapie und onkologie, 2014 |
| M.
Hatt, F. Tixier, C. Valla, V. Fleury, C. Lamour, S. Ezzouhri, R.
Perdrisot, D. Visvikis, C. Cheze Le Rest, Evaluation
visuelle contre évaluation quantitative de
l’hétérogénéité
intra-tumorale sur des images de Tomographie par Emission de Positon :
quelle valeur pronostique dans les cancers pulmonaires non à
petites
cellules ? Journée
jeunes chercheurs de l'Université de Brest,
2013 |
| H.
Hanzouli, J. Lapuyade-Lahorgue, E. Monfrini, G. Delso, W. Pieczynski,
D. Visvikis, M. Hatt, PET/CT
image denoising and segmentation based on a multi observation and multi
scale Markov tree model, IEEE
Nuclear
Science Symposium and Medical Imaging Conference 2013 |
| F.
Tixier, M. Hatt, C. Valla, D. Visvikis, C. Cheze Le Rest,
Shape indices derived from
baseline 18F-FDG PET images can predict response to concomitant
radio-chemotherapy in esophageal cancer, European
Association of Nuclear Medicine annual meeting, 2013 |
| M.
Hatt, F. Tixier, C. Cheze Le Rest, D. Visvikis, PET
Uptake Heterogeneity Quantification for Therapy Response in Oncology:
Dependency on Image Pre-processing and Tumor Delineation, European
Association of Nuclear Medicine annual meeting, 2013 |
| 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, HER2-overexpressing breast cancer:
Interim PET after two cycles of chemotherapy predicts the outcome of
neoadjuvant treatment, European
Association of Nuclear Medicine annual meeting, 2013 |
| M.
Hatt, F. Tixier, C. Cheze Le Rest, D. Visvikis, Caractérisation de
l'hétérogénéité intra tumorale en
imagerie TEP pour la prédiction de la réponse
thérapeutique : impact de la méthode de segmentation et
de la correction des effets de volumes partiels, 24ème
colloque GRETSI 2013 |
| M.
Hatt, P. Kinahan, P. Lambin, Multi modal PET/CT imaging for
therapy response early prediction and therapy monitoring, American
Association of Physicists in Medicine annual meeting, continuous
education session, 2013 |
| M.
Hatt, F. Tixier, C. Cheze Le Rest, D. Visvikis, Impact
of Delineation and Partial Volume Effects Correction On PET Uptake
Heterogeneity Quantification Through Textural Features Analysis for
Therapy Response in Oncology, American
Association of Physicists in Medicine annual meeting, 2013 |
| F.
Tixier,
M. Hatt, C. Cheze Le Rest, D. Visvikis, Functional
Tumor Shape Characterization On Baseline 18F-FDG PET Images Predicts
Response to Concomitant Radio-Chemotherapy in Esophageal Cancer,
American
Association of Physicists in Medicine annual meeting, 2013 |
| EGC.
Troost, BAW. Hoeben, AIJ. Arens; JA. Lee; V. Grégoire; M. Hatt,
D. Visvikis; EP. Visser; WJG. Oyen; JHAM. Kaanders, 18FLT-PET for early treatment
adaptation and outcome prediction in head and neck tumors, Acta
Oncologica Symposium on Biology-Guided Adaptive Radiotherapy, 2013 |
| M.
Hatt, D. Groheux, A. Martineau, M. Espié, E. Hindié, S.
Giacchetti, D. Visvikis, C. Cheze-Le Rest, 18F-FDG
PET image-derived tumor characterization to improve prediction of
response to neoadjuvant chemotherapy in locally advanced breast cancer,
Society of
nuclear
medicine and molecular imaging annual meeting, 2013 |
| M.
Majdoub, D. Visvikis, F. Tixier, B. Hoeben, E. Visser, C. Cheze-Le Rest,
M. Hatt, Proliferative
18F-FLT PET tumor volumes characterization for prediction of
locoregional recurrence and disease-free survival in head and neck
cancer, Society of
nuclear
medicine and molecular imaging annual meeting, 2013 |
| F.
Tixier, M. Hatt, C.
Cheze Le Rest, T-C.
Yen, L. Corcos, D. Visvikis, 18F-FDG
intra tumor uptake heterogeneity quantification from baseline PET
images are prognostic factors of disease free survival and predict
local recurrence in head and neck cancer, Society of
nuclear
medicine and molecular imaging annual meeting, 2013 |
| D.
Groheux, M.
Hatt, A. Martineau, D. Visvikis, S. Giacchetti, P. de Cremoux, J.
Lehmann-Che Pharm, M. Espié, C. Cheze Le Rest, E.
Hindié, Early
prediction of response to neoadjuvant chemotherapy in luminal breast
cancer using total lesion glycolysis measured on 18F-FDG PET images: a
prospective validation study, Society of
nuclear
medicine and molecular imaging annual meeting, 2013 |
| C.
Valla, F. Tixier, M. Hatt, R. Perdrisot, D. Visvikis, C. Cheze Le
Rest, Qualitative versus quantitative
assessment of intra-tumor FDG heterogeneity for assessing patient
outcome in NSCLC, Society of
nuclear
medicine and molecular imaging annual meeting, 2013 |
| M.
Hatt, F. Tixier, C.
Cheze Le Rest, R. van Stiphout, G. Lammering, P. Lambin,
D. Visvikis, Predictive
value of tumor uptake heterogeneity spatial patterns in sequential
18F-FDG PET for rectal cancer radio-chemotherapy response monitoring,
Society of
nuclear
medicine and molecular imaging annual meeting, 2013 |
| M.
Hatt, F.
Tixier, H. Hanzouli, M. Majdoub, C. Cheze-Le Rest,
D.
Visvikis, PET image analysis for response to
therapy prediction in oncology, European
Molecular Imaging Meeting
2013 |
| M.
Hatt, D. Groheux, A. Martineau, M. Espié, E. Hindié, S.
Giacchetti, A. de Roquancourt, D. Visvikis, C. Cheze-Le Rest,
Caractérisation
de tumeur à partir d'images TEP au 18F-FDG pour améliorer
la prédiction
de la réponse à la chimiothérapie
néoadjuvante du cancer du sein, 51ème
Colloque de Médecine Nucléaire de Langue Française
2013 |
| 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,
Prédiction
de la réponse à la chimiothérapie
néoadjuvante du cancer du sein de
phénotype luminal : apport du volume glycolytique total, 51ème
Colloque de Médecine Nucléaire de Langue Française
2013 |
| C.
Valla, F. Tixier, V. Fleury, M. Hatt, R. Perdrisot, D. Visvikis,
C. Cheze-Le Rest,
Comparaison
de l'évaluation quantitative et qualitative de
l'hétérogénéité de
fixation intratumorale du FDG dans les cancers du poumon, 51ème
Colloque de Médecine Nucléaire de Langue Française
2013 |
| B.
De-Figueiredo, F. Lamare, T. Merlin, R. Trouette, M. Hatt, P.
Fernandez,
Utilisation
de la tomographie par émission de positons (TEP) au
[18f]-fluorodeoxyglucose (FDG) 4D pour la radiothérapie des
cancers
pulmonaires, 51ème
Colloque de Médecine Nucléaire de Langue Française
2013 |
| B.
Henriques-De-Figueiredo, T. Merlin, H. De-Clermont-Gallerande, M. Hatt,
D. Vimont, P. Fernandez, F. Lamare, Utilisation de la tomographie par
émission de positons (TEP) au [18F]-fluoromisonidazole (FMISO)
pour la radiothérapie des cancers de la tête et du cou, 51ème
Colloque de Médecine Nucléaire de Langue Française
2013 |
| M.
Hatt, D. Groheux, A. Martineau, M. Espié, E. Hindié, S.
Giacchetti, A. de Roquancourt, D. Visvikis, C. Cheze-Le Rest, Improving the accuracy of 18F-FDG PET
for early prediction of response to neoadjuvant chemotherapy in breast
cancer, Nuclear
Technologies for Health Symposium 2013 |
| F.
Tixier, M.
Hatt, C. Cheze Le Rest, L. Corcos, D. Visvikis, Intratumor heterogeneity
characterization in 18F-FDG PET images predicts overall survival and
recurrence in head and neck cancer, Nuclear
Technologies for Health Symposium 2013 |
| M.
Hatt, F. Tixier, C. Cheze Le Rest, R. van Stiphout, G. Lammering,
P. Lambin, D. Visvikis, Predictive value of tumor uptake
heterogeneity spatial patterns in sequential 18F-FDG PET for rectal
cancer radio-chemotherapy response monitoring, Journées
scientifiques Nouvelles méthodologies en imagerie du vivant 2012 |
| F.
Tixier, C. Cheze-Le-Rest, M Hatt, T-C. Yen, L. Corcos, D. Visviskis, Intratumor heterogeneity
characterization in 18F-FDG PET images predicts overall survival and
recurrence in head and neck cancer, Journées
scientifiques Nouvelles méthodologies en imagerie du vivant 2012 |
| H.
Hanzouli, M.
Hatt, D.
Visvikis, Analyse multi
échelle et multi observation pour l’imagerie multi modale
en oncologie, Journées
scientifiques Nouvelles méthodologies en imagerie du vivant 2012 |
| T.
Shepherd, B. Berthon, P. Galavis, E. Spezi, A. Apte, J. Lee, D.
Visvikis, M. Hatt, E. de Bernardi, S. Das, I. El Naqa, U. Nestle, C.
Schmidtlein, H. Zaidi, A. Kirov, Design of a Benchmark Platform for
Evaluating PET-based Contouring Accuracy in Oncology Applications, European
association for nuclear medicine annual meeting 2012. |
| H.
Hanzouli, A. Le Pogam, D. Visvikis, M. Hatt, A
multi resolution and multi observation framework for multi modal
medical images
processing and analysis, IEEE
Nuclear
Science Symposium and Medical Imaging Conference
2012. |
| A.
Le Pogam, M. Hatt, F. Lamare, P. Fernandez, C. Cheze-Le Rest, D.
Visvikis, MRI data driven
partial volume effects correction
in PET imaging using 3D local multi resolution analysis, PET/MR
and
SPECT/MR: New paradigms for Combined Modalities in Molecular Imaging,
2012 |
| M.
Hatt, R. van Stiphout, A. Le Pogam, G. Lammering, D. Visvikis, P.
Lambin, 18F-FDG PET
derived indices and
impact of partial volume effects correction for prediction of
pathological
response of locally advanced rectal cancer tumor, Society of
nuclear
medicine annual meeting, 2012 |
| F.
Tixier, E. Visser, M. Hatt, C. Cheze-Le
Rest, D. Visvikis, Comparison
of tumor volumes and
heterogeneity parameters derived from MRGlu
maps and
static SUV images in 18F-FDG PET, Society of nuclear
medicine annual
meeting, 2012 |
| F.
Tixier, A. Groves, M. Hatt, C. Cheze-Le Rest, D. Visvikis, Correlation of intratumor
18F-FDG
heterogeneity uptake with perfusion CT derived parameters, Society
of
nuclear medicine annual meeting, 2012 |
| A.
Le Pogam, F. Tixier, M. Hatt, C. Cheze-Le Rest, D. Visvikis, Novel voxel-wise
textural
feature analysis for intra-tumor heterogeneity characterization in PET
imaging, Society of nuclear medicine annual meeting, 2012 |
| M.
Hatt, C. Cheze Le Rest, D. Visvikis, O. Pradier, La
définition précise des volumes métaboliques sur
TEP au 18F-FDG avant
traitement permet la prédiction de la réponse à la
chimio radiothérapie dans
les cancers de l'œsophage, 22ème
congrès de la SFRO,
2011 |
| M.
Hatt, C. Cheze Le Rest, O. Pradier, D. Visvikis, Impact of Tumor Size and 18F-FDG
Tracer Uptake
Heterogeneity in Non–Small Cell Lung Cancer Tumor Automatic
Delineation On PET
and CT Images for Gross Tumor Volumes Determination, 53rd
Joint AAPM/COMP Meeting, 2011 |
| M.
Hatt, D. Visvikis, O. Pradier, C. Cheze Le Rest, Tumor Metabolic Dimension
Measurements On 18F-FDG PET Pre
Treatment Image Predicts Response to Exclusive Concomitant Radiochemotherapy
in Locally Advanced Esophageal Cancer, 53rd Joint
AAPM/COMP Meeting, 2011 |
| M.
Hatt, A. Le Pogam, D. Visvikis, O. Pradier, C. Cheze Le Rest, Predictive and Prognostic Clinical
Values of 18F-FDG PET
Based Measurements in Locally Advanced Esophageal Cancer Are Not
Improved by
Partial Volume Effects Correction, 53rd Joint
AAPM/COMP
Meeting, 2011 |
| S.
David, M. Hatt, D. Visvikis, Multi
Observation PET Image Fusion for Patient Follow-Up Quantitation
in Oncology, 53rd Joint AAPM/COMP Meeting,
2011 |
| A.
Lemaitre, D. Wallach, M. Hatt, S. Edel, N.
Boussion, O. Pradier, D. Visvikis, Impact of 4D PET
and Motion Correction in the Delineation of Gross Tumor Volume for
Radiotherapy
Treatment Planning in Lung Cancer, 53rd Joint
AAPM/COMP
Meeting, 2011 |
| M.
Hatt, D. Visvikis, O. Pradier, C. Cheze Le Rest, Total lesion glycolysis
measured on 18F-FDG PET baseline scan predicts radiochemotherapy
response in locally advanced esophageal cancer, Society of
nuclear
medicine annual meeting, 2011 |
| T.
Wentz, H. Fayad, J-F. Clément, J.
Savean,
M. Hatt, D. Visvikis, Extraction
and evaluation of
anatomical patient surface and associated respiratory motion with a
Time-of-Flight (ToF) camera, Society
of
nuclear medicine annual meeting, 2011 |
| F.
Tixier, M. Hatt, C.
Cheze Le Rest,
D. Visvikis, Reproducibility of
textural
feature measurements extracted from 18F-FDG PET images for
tumor
heterogeneity characterization, Society of nuclear medicine
annual
meeting, 2011 |
| F.
Tixier, M. Hatt, C.
Cheze Le Rest,
D. Visvikis, Quantification of
the
intra-tumor heterogeneity on baseline 18F-FDG PET images
characterized by textural features, Society of nuclear
medicine
annual meeting, 2011 |
| F.
Tixier, M. Hatt, D. Visvikis, C.
Cheze Le Rest,
Intra-tumor
heterogeneity on baseline 18F-FDG PET images characterized
by
textural features predicts response to concomitant radio-chemotherapy
in
esophageal cancer,
Society of nuclear medicine
annual meeting, 2011 |
| N.
Withofs, C. Bernard, C. van der Rest, P. Martinive, M. Hatt, D. Visvikis, P. Coucke,
R. Hustinx, FDG PET/CT for
radiotherapy treatment
planning. Comparison of functional volume delineation algorithms,
Society
of nuclear medicine annual meeting, 2011 |
| A.
Le Maitre, M. Hatt, C. Cheze Le Rest, O. Pradier, D. Visvikis, Impact of functional contrast on
non-uniform radiotherapy
dose prescriptions, 11th
Biennial ESTRO
on Physics & Radiation Technology For Clinical Radiotherapy,
2011 |
| F.
Tixier, M. Hatt,
O. Pradier, L. Corcos, D. Visvikis, C.
Cheze Le Rest, Intra-tumor
heterogeneity
on baseline 18F-FDG PET images characterized by textural
features
predicts response to concomitant radio-chemotherapy in esophageal
cancer, 49ème Colloque
de Médecine Nucléaire
de Langue Française (SFMN),
2011. |
| L. Ghouti, M. Hatt, F. Courbon,
J. Selves, M. Poirot, R. Guimbaud,
B. Pradère, Optimisation
des méthodes d'évaluation des volumes tumoraux en TEP
18FDG et IRM. Corrélation
à l'histo-imagerie quantitative.
Application aux
cancers du rectum post-radiochimiothérapie,
Journées
francophones d’hépato-gastroentérologie et
d’oncologie digestive, 2011 |
| A.
Le Maitre, M. Hatt, C. Cheze Le Rest, O. Pradier, D. Visvikis, Adapting Dose Prescription to Tumour
Heterogeneities: Influence of the Functional Contrast, IEEE
Nuclear Science Symposium and Medical Imaging Conference
2010 |
| S.
David, M. Hatt, N. Boussion, P. Fernandez, M. Allard, O. Barrett, D.
Visvikis, A Multi-Observation
Fusion Approach for
Patient Follow-up Using PET/CT, IEEE
Nuclear Science Symposium and Medical Imaging Conference
2010. |
| M. Hatt, D.
Visvikis,
M. N. Albarghach, O. Pradier, C. Cheze Le
Rest, Valeur prédictive
et pronostique du volume fonctionnel
des lésions en 18F-FDG TEP dans le cancer de
l’œsophage, 5e Journées du Cancéropôle Grand Ouest,
2010. |
| M.
Hatt, M. N. Albarghach, D. Visvikis, C.
Cheze Le Rest, Prognostic value
of Total Glycolytic Volume in esophagus
cancer: impact of automatic
tumor volume delineation on 18F-FDG PET images, Imaging for
treatment
assessment in radiation therapy, 2010. |
| A.
Le Maître, M. Hatt, M. N. Albarghach,
O.
Pradier, C. Cheze Le Rest, M. Bal, D. Visvikis, Dosimetry
impact of accurate PET segmentation for radiotherapy treatment planning,
Imaging for treatment assessment in radiation therapy,
2010. |
| A.
Le Maître, M. Hatt, M. N. Albarghach,
C. Cheze
Le Rest, O. Pradier, D. Visvikis, Impact of the
accuracy of tumor functional volume delineation on radiotherapy
treatment
planning, Molecular Imaging in Radiation Oncology, 2010 |
| M.
Hatt, M. N. Albarghach, D. Visvikis, C.
Cheze Le Rest, Automatic
18F-FDG PET tumor volume delineation and prognostic value of Total Glycolytic Volume in esophagus cancer,
Journal
of Nuclear Medicine
2010:51(S2):110 |
| M. Hatt, M.
N. Albarghach, C. Cheze Le Rest, D.
Visvikis, Valeur prognostique du volume
tumoral actif en 18F-FDG pour le cancer de l’œsophage et
influence de la
méthodologie de contourage de la
tumeur, 48ème
colloque de médecine nucléaire de langue française,
2010. |
| M.
Hatt, C. Cheze Le Rest, D. Visvikis, Robustness
and reproducibility of PET functional volumes automated delineation:
comparison
of various approaches, Molecular Imaging in Radiation
Oncology,
2010 |
| M.
Hatt, C. Cheze Le Rest, O. Pradier, D. Visvikis, Is accurate and reproducible
biological target volumes
delineation in PET images for radiotherapy planning feasible?, Institute
of Physics and Engineering in Medicine – uses of PET in
radiotherapy, 2010. |
| M.
Lei, J. Crawshaw, J. Scuffham,
D. Rickard, M. Hatt, J. Hall, J. Sellinger,
T.
Jordan, S. Whitaker, D. Visvikis, A. Nisbet,
T.
Guerrero Urbano, Biological
gross tumour volume definition in head and
neck squamous cell carcinoma (HNSCC)
radiotherapy planning:
Comparison of automated segmentation tools, Institute of
Physics and
Engineering in Medicine – uses of PET in radiotherapy, 2010. |
| S.
David, M. Hatt, N.
Boussion, P. Fernandez, M. Allard, O. Barrett, D. Visvikis,
Multi-Tracer PET Image
Fusion Using Fuzzy
Logic: a Feasibility Study, IEEE Nuclear Science Symposium
and
Medical Imaging Conference (NSS-MIC), 2009. |
| M.
Hatt, C. Collet,
F. Salzenstein, C. Roux, D. Visvikis, From nebulae segmentation in
astronomical imaging to
tumor delineation in 18F-FDG PET imaging: how can one serve the other?,
AstroMed09:
The Inaugural Sydney International Workshop on Synergies in Astronomy
and
Medicine, 2009. |
| S.
David, M. Hatt, D. Visvikis, Multi-tracer
image fusion for patients using multi-observation statistical image
fusion
framework: a feasibility study, AstroMed09: The
Inaugural Sydney International Workshop on Synergies in Astronomy and
Medicine,
2009. |
| M. Hatt, D.
Visvikis,
C. Cheze Le Rest, O. Pradier, Définition
automatique des volumes
biologiques cibles pour les applications de radiothérapie,
Cancer
/ Radiothérapie 2009;13(6-7):640-641. |
| N. Albarghach,
M. Hatt, D. Cornec, S. Querellou, C.
Berthou, Y. Renaudineau, D. Visvikis, O.
Pradier, C. Cheze Le Rest, Intérêt
de la TEP au FDG dans les lymphomes folliculaires, Congrès
National de la Société
Française de Radiothérapie Oncologique (SFRO),
2009. |
| M.
Hatt, C. Cheze Le
Rest, D. Visvikis, Accuracy and
robustness study of
a new automatic tumour delineation method
in positron
emission tomography for patients’ follow up and therapy response
assessment, New trends in
molecular
imaging and nuclear
medicine – young investigators award, 2009. |
| A.
Le Pogam, M. Hatt, N. Boussion, L. Livieratos,
A.M. Alessio, C. Cheze Le Rest and D.
Visvikis, Comparison of voxel-wise
partial volume correction approaches for emission tomography, New trends in molecular imaging and
nuclear
medicine – young investigators award, 2009. |
| M. Hatt, A.
Dekker, D.
De Ruysscher, M. Oellers,
P. Lambin, C. Roux, C. Cheze le Rest, Une nouvelle
méthode pour la détermination automatique des volumes
fonctionnels en
oncologie : premiers résultats cliniques, 47ème
colloque de
médecine nucléaire de langue française, 2009. |
| D.
Visvikis, M. Hatt, O. Pradier, N. Albarjhach,
C. Cheze Le Rest, Use of an
automatic tumour delineation algorithm for
therapy response
assessment with PET, Annual
Congress of
the European Association of Nuclear Medicine,
2009. |
| M.
Hatt, A. Turzo, P. Bailly,
I. Murray, C. Roux, D. Visvikis, Automatic
delineation of functional volumes in PET: a robustness study,
Journal of Nuclear Medicine 2009:50(S2):1429. |
| M.
Hatt, C. Cheze Le Rest, O. Pradier, D. Visvikis, Automatic PET
tumour delineation for patient’s follow-up and therapy assessment,
Journal of Nuclear Medicine 2009:50(S2):182. |
| A.
Le Pogam, P. Descourt, M. Hatt, N. Boussion, D. Visvikis, A combined 3-D
wavelet and curvelet approach for edge
preserving denoising in emission tomography,
Journal
of Nuclear Medicine 2009;50(S2):533. |
| A.
Le Maitre, W.P. Segars, A. Reilhac,
M. Hatt, S. Tomei, C. Lartizien,
D. Visvikis, Incorporating
patient specific variability in a database of realistic simulated whole
body
18F-FDG distributions for oncology applications, Journal
of Nuclear Medicine 2009;50(S2):1488 |
| M.
Hatt, A. Dekker,
D. De Ruysscher, M. Oellers,
P. Lambin, C. Roux, D. Visvikis, Olivier Pradier, Accurate
and robust functional volume definition in PET for radiotherapy
treatment
planning, DEGRO 2009, 2009. |
| M. Hatt, C.
Cheze Le
Rest, A. Dekker, D. De Ruysscher, M. Oellers, P. Lambin, C. Roux, D. Visvikis, Une nouvelle méthode
automatique de détermination des
volumes fonctionnels pour l’oncologie, Journées
de Recherche en
Imagerie et Technologies de la santé (RITS), 2009. |
| A. Le
Pogam, N. Boussion,
M. Hatt, C. Prunier-Aesch, D. Guilloteau,
J-L.
Baulieu, D. Visvikis, Transformées
en Ridgelet/Curvelet
discrètes 3-D
pour le débruitage en Tomographie
d’Emission, Journées
de Recherche en Imagerie et Technologies de la santé (RITS),
2009. |
| M.
Hatt, P. Bailly, A Turzo,
C. Roux, D. Visvikis, PET functional
volume segmentation: a robustness study, IEEE
Nuclear
Science Symposium and Medical Imaging Conference records
2008:4335-4339. |
| M.
Hatt, A. Dekker,
D. De Ruysscher, M. Oellers,
P. Lambin, C. Roux, D. Visvikis, Accurate
functional volume definition in PET for radiotherapy treatment planning,
IEEE Nuclear Science Symposium and Medical Imaging Conference
records
2008:5567-5571 |
| A.
Le Pogam, M. Hatt, N.
Boussion, F. Turkheimer, C. Prunier-Aesch,
D. Guilloteau, J.-L. Baulieu,
D. Visvikis,
A wavelet-based hidden
Markov model and multi-resolution approach for conditional partial
volume
correction in emission tomography, IEEE Nuclear Science
Symposium and
Medical Imaging Conference records 2008:1-5. |
| A. Le
Pogam, M. Hatt, N.
Boussion, D. Guilloteau, J-L. Beaulieu,
C. Prunier, F. Turkheimer,
D. Visvikis, A 3D multi
resolution local analysis approach for correction of partial volume
effects in
emission tomography, IEEE Nuclear Science
Symposium and
Medical Imaging Conference records 2008:5300-5303. |
| A.
Le Pogam, N. Boussion, M. Hatt, C. Prunier-Aesch,
D. Guilloteau, J.-L. Baulieu,
D. Visvikis,
3D discrete ridgelet transform for emission tomography denoising, IEEE Nuclear
Science
Symposium and Medical Imaging Conference records
2008:5557-5561. |
| M. Hatt, D.
Visvikis,
N. Boussion, O. Pradier, Segmentation
automatique d'images
fonctionnelles TEP pour l'aide à la planification de traitement
en
radiothérapie, 47e
journées scientifiques de la
Société Française de Physique Médicale
(SFPM), 2008 |
| N.
Boussion, M. Hatt, D. Wallach, O. Pradier, D. Visvikis, Quantification en TEP oncologique :
les dernières avancées en
traitement d'images et leur impact potentiel sur la planification de
traitement
en radiothérapie, 47e journées
scientifiques de la Société
Française de Physique Médicale (SFPM), 2008. |
| M.
Hatt, N. Boussion, C. Roux, O. Pradier, C. Cheze Le Rest, D.
Visvikis, An automatic
segmentation algorithm for
accurate functional volume determination in radiotherapy treatment
planning, Annual Congress of the European Association of
Nuclear Medicine,
2008. |
| M.
Hatt, N. Boussion, O. Pradier, C. Roux, D. Visvikis, Automatic
Segmentation of Functional Images for Radiotherapy Treatment Planning,
International Journal of Radiation Oncology Biology Physics 2008;72(1):S682. |
| M.
Hatt, C. Cheze Le Rest, C. Roux, D. Visvikis, Automatic
volume
delineation of heterogeneous tumours in PET: comparison of various
methodologies, Journal of Nuclear Medicine
2008;49(S1):381 |
| N.
Boussion, C. Cheze-Le Rest, M. Hatt, D. Visvikis, Evaluation of
resolution and quantitation preserving
wavelet-based denoising in wholebody PET, Journal of
Nuclear Medicine 2008;49(S1):395 |
| N.
Boussion, M. Hatt,
D. Visvikis, Partial volume
correction in PET based on functional volumes, Journal
of
Nuclear Medicine 2008;49(S1):388. |
| A. Le
Pogam, M. Hatt, N. Boussion, D. Guilloteau,
J-L. Beaulieu,
C. Prunier, F. Turkheimer,
D. Visvikis, Conditional voxel-wise partial volume correction for
emission
tomography: combining a wavelet-based hidden Markov model with a mutual
multi-resolution analysis approach,
Journal of Nuclear Medicine 2008;49(S1):62 |
| A. Le
Pogam, M. Hatt, N.
Boussion, D. Guilloteau, J-L. Beaulieu,
C. Prunier, F. Turkheimer,
D. Visvikis, Conditional
partial volume correction for emission
tomography: a wavelet-based hidden Markov model and multi-resolution
approach,
5th IEEE International Symposium on Biomedical Imaging conference
records 2008:1319-1322 |
| M.
Hatt, C. Roux, D.
Visvikis, A Segmentation
Algorithm for Heterogeneous Tumor
Delineation in PET, IEEE Nuclear Science
Symposium and Medical Imaging Conference
records
2007;5:3939-3945. |
| N.
Boussion, M. Hatt, A. Reilhac, D.
Visvikis, Fully
automated
partial volume attenuation in PET: a wavelet approach without
anatomical
information, IEEE Nuclear Science Symposium and
Medical
Imaging Conference (NSS-MIC) conference records 2007;4:2812-2816 |
| M.
Hatt, C. Roux, D. Visvikis, Evaluation de
méthodes de segmentation bayésiennes
pour l’imagerie
TEP en oncologie, GRETSI, Groupe d’Etudes
du Traitement du
Signal et des Images, 2007. |
| M.
Hatt, N.
Boussion, C. Roux, D. Visvikis, Evaluation
de
méthodes de segmentation statistiques pour l’imagerie TEP
en oncologie, Journée
de Recherche en Imagerie Médicale (JRIM), 2007. |
| N.
Boussion, M. Hatt,
F. Lamare, D. Visvikis, Correction
des effets de
volume partiel en TEP sans a priori anatomique : déconvolution
et filtrage à base d’ondelettes, Journée
de Recherche en Imagerie
Médicale (JRIM), 2007. |
| M.
Hatt, C. Roux, D. Visvikis, 3D Fuzzy
Adaptive Unsupervised Bayesian Segmentation for Volume Determination in
PET, 4th IEEE International Symposium on
Biomedical Imaging: From Nano to Macro
conference records 2007:328-331. |
| M.
Hatt, C. Cheze-Le Rest, A. Turzo, F.
Lamare, K. Carson, P. Jarritt, D.
Visvikis, An automatic
segmentation algorithm for functional volume
and activity concentration determination in PET, Annual
Congress of
the European Association of Nuclear Medicine, 2006. |
| M.
Hatt, N. Boussion, F. Lamare, C. Collet, F. Salzenstein,
C. Roux, Y. Bizais, C. Cheze-Le Rest, D.
Visvikis, Fuzzy versus
Hard Hidden Markov Chains Segmentation for Volume Determination and Quantitation in Noisy PET Images,
3rd
IEEE International Symposium on Biomedical Imaging: From Nano
to Macro conference records 2006:1376-1379. |
| M.
Hatt, N. Boussion, K. Karson, P. Jarritt, F. Lamare, Y. Bizais,
C.
Cheze-Le Rest, D. Visvikis, Comparison of
different methodologies for lesion volume determination in PET,
Nuclear Medicine Communications 2006
27(3):283-284. |
| A.
Oberto,
M. Wenger,
J.-P. Lejal, S. Jaehn,
B. Baranne, M. Hatt, O. Dellicour,
J. Deprez. SIMBAD 4: a
new
Release with new Possibilities, Astronomical Data
Analysis
Software and Systems XV ASP Conference Series, Astronomical Society of
the
Pacific 2006;351:703-706. |
| N.
Boussion, M. Hatt, F. Lamare, Y. Bizais,
A. Turzo, C. Cheze-Le Rest, D. Visvikis, Generating
resolution-enhanced images for correction of partial volume effects in
emission
tomography: a multiresolution approach,
IEEE Nuclear Science Symposium and Medical Imaging Conference
(NSS-MIC) Conference
Records 2005;4:2423-2427. |
| N.
Boussion, M. Hatt, F. Lamare, A. Turzo, Y.
Bizais, C. Cheze-Le Rest, D.
Visvikis, A multiresolution approach in partial volume
correction for
emission tomography imaging, European Journal of
Nuclear
Medicine and Molecular Imaging 2005;32(S1):S51. |
