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Your search keyword '"Guérif, S."' showing total 148 results
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148 results on '"Guérif, S."'

2. Patterns of practice of androgen deprivation therapy combined to radiotherapy in favorable and unfavorable intermediate risk prostate cancer. Results of The PROACT Survey from the French GETUG Radiation Oncology group

Author

Belkacemi, Y., Latorzeff, I., Hasbini, A., Coraggio, G., Pasquier, D., Toledano, A., Hennequin, C., Bossi, A., Chapet, O., Crehange, G., Guerif, S., Duberge, T., Allouache, N., Clavere, P., Gross, E., Supiot, S., Azria, D., Bolla, M., and Sargos, P.

Published
2020
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5. Short-Term Androgen Deprivation Therapy and High-Dose Radiotherapy in Intermediate- and High-Risk Localized Prostate Cancer: Results from the GETUG 14 Randomized Phase III Trial

Author

Demogeot, N., Sargos, P., Sahki, N., Guerif, S., De Crevoisier, R., Calais, G., Hannoun-Levi, J.M., Bouché, G., Hennequin, C., Cretin, J., Belkacemi, Y., Khalifa, J., Azria, D., Bauer, N., Pommier, P., Simon, J.M., Léger, C., Beckendorf, V., Dubray, B.M., and Supiot, S.

Published
2024
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13. Proposition de sélection et délimitation des volumes cibles microscopiques péritumoraux dans les cancers de la cavité buccale et de l'oropharynx (aires ganglionnaires exclues)

Author

Lapeyre, M., Henrot, P., Alfonsi, M., Bardet, E., Bensadoun, R.J., Dolivet, G., Favrel, V., Gallocher, O., Giraud, P., Graff, P., Guerif, S., Lagarde, P., Lartigau, E., Marchesi, V., Pommier, P., Rives, M., Tortochaux, J., Toussaint, B., Verrelle, P., Bourhis, J., and Calais, G.

Published
2005
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19. Définition et traitement de l’index tumoral par fusion multimodale histologique et IRM sous échographie transpérinéale par navigation 3D : validation sur une série de rising PSA traité par curiethérapie focale de rattrapage par haut débit

Author

Biscans, C., primary, Colliaux, J., additional, Boissonnade, O., additional, Garcia, A., additional, Catteau, L., additional, Celhay, O., additional, Rest, C. Cheze le, additional, Tasu, J., additional, Didas, O., additional, and Guérif, S., additional

Published
2017
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23. Curiethérapie focale de prostate de rattrapage en temps réel sous échographie endorectale guidée par une intégration d’une cartographie biopsique systématique et ciblée sur l’indice tumoral défini par fusion de l’IRM et de la tomographie par émission de positons à la choline

Author

Guérif, S., primary, Didas, O., additional, Tasu, J.-P., additional, Boissonnade, O., additional, Garcia, A., additional, Chèze-Le Reste, C., additional, Debaene, B., additional, Colliaux, J., additional, and Celhay, O., additional

Published
2017
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24. Late Toxicity and Quality of Life from GETUG-AFU 22 Study: A Multicenter Randomized Phase II Trial Comparing Radiotherapy +/- 6 Months of Degarelix as a Salvage Treatment for Patients with Detectable PSA after Radical Prostatectomy

Author

Latorzeff, I., Guerif, S., Fraisse, J., Meyer, E., Supiot, S., Lagneau, E., Deniaud-Alexandre, E., Ronchin, P., Benyoucef, A., Cartier, L., Hamidou, H., Hasbini, A., Crehange, G., Pommier, P., Magne, N., Pelissier, S., Gross, E., Fourneret, P., Salomon, L., and Sargos, P.

Published
2019
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25. Postoperative radiotherapy of prostate cancer

Author

Guérif, S, Latorzeff, I, Lagrange, Jl, Hennequin, C, Supiot, S, Garcia, A, François, P, Soulié, M, Richaud, P, Salomon, L, and Diallo, Ousseynatou

Subjects
[SDV] Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Published
2014

35. Dimensionality Reduction Through Unsupervised Features Selection

Author

Guérif, S., Younès Bennani, Guérif, Sébastien, and Lazaros Iliadis and Konstantinos Margaritis

Subjects
feature selection, self organizing map, weighting, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], unsupervised learning, clustering
Abstract

As the storage technologies evolve, the amount of available data explodes in both dimensions: samples number and input space dimension. Therefore, one needs dimension reduction techniques to explore and to analyse his huge data sets. Many features selection approaches have been proposed for the supervised learning context, but only few techniques are available to address this issue in the unsupervised learning context. Actually, the problem of unsupervised feature selection becomes more difficult as the samples points' labels disappear. Thus, most of the methods proposed rely on feature correlations and only pairs of variables are considered. In this paper, we extend the wkmeans algorithm proposed by Huang to the self-organizing maps (SOM) framework and we propose a feature selection approach which relies on the weighting coefficients learned during the optimization process. This SOM-based approach addresses the difficult issue of unsupervised feature selection and is ready to handle high dimensional data sets.

Published
2007

36. μ-SOM : Weighting features during clustering

Author

Guérif, S., Younès Bennani, Janvier, É, and Guérif, Sébastien

Subjects
data-mining, redundant features, market segmentation, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], self-organizing maps, weighting, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]
Abstract

Real life datasets used in marketing studies contain a lot of redundant features which may prevent data-mining techniques such as self-organizing maps from discovering relevant clusters. An extension of the batch Kohonen's algorithm is proposed in this paper to avoid the large amount of work which is required by data preprocessing if redundancy isn't treated explicitly by the training method. The proposed approach integrates a weighting of variables built on a simultaneous clustering of both observations and variables and avoids the side effects of redundancy. An application to market segmentation is then briefly described to validate the learning algorithm introduced; identified clusters of products and motivations are used to simplify the analysis of the consumer segmentation by giving the user a first rough description of the different groups.

Published
2005

39. Radiothérapie postopératoire des cancers de la prostate

Author

Guérif, S., primary, Latorzeff, I., additional, Lagrange, J.-L., additional, Hennequin, C., additional, Supiot, S., additional, Garcia, A., additional, François, P., additional, Soulié, M., additional, Richaud, P., additional, and Salomon, L., additional

Published
2014
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44. Concurrent Chemoradiation Therapy Versus Acceleration of Radiation Therapy With or Without Concurrent Chemotherapy in Locally Advanced Head and Neck Carcinoma (GORTEC 99-02): 7-Year Survival Data From a Phase 3 Randomized Trial and Prognostic Factors

Author

TAO, Y., Aupérin, A., Graff, P., Gregoire, V.G., Maingon, P., Calais, G., Gery, B., Martin, L., Alfonsi, M., Desprez, P., Bardet, E., Rives, M., Geoffrois, L., Tuchais, C., Dupuis, O., Guerif, S., Lapeyre, M., Sire, C., and Bourhis, J.

Published
2016
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48. Suppression androgénique courte et radiothérapie de haute dose (80Gy) pour cancer prostatique de risque intermédiaire : analyse intérimaire de l’essai randomisé 14 du Groupe d’études des tumeurs urogénitales (Gétug)

Author

Dubray, B., primary, Beckendorf, V., additional, Guérif, S., additional, Le Prisé, E., additional, Reynaud-Bougnoux, A., additional, Hannoun Lévi, J.-M., additional, Nguyen, T.-D., additional, Hennequin, C., additional, Cretin, J., additional, and Harter, V., additional

Published
2011
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49. Comparaison de l’impact sur la qualité de vie des boosts par curiethérapie par iode-125 et par iridium-192 de haut débit associée à une radiothérapie conformationnelle dans les cancers de la prostate de stade II ou III selon d’Amico

Author

Guérif, S., primary, Chung, C., additional, Lavigne, B., additional, Boissonnade, O., additional, Godon, J.B., additional, Bolan, G., additional, Fontaine, G., additional, and Bensadoun, R.J., additional

Published
2011
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