Search Results - "Modzelewski, Romain"

Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier by Paul, Desbordes, Su, Ruan, Romain, Modzelewski, Sébastien, Vauclin, Pierre, Vera, Isabelle, Gardin

“…Highlights • Proposition of a new feature selection strategy in two steps called GARF. • Selection of relevant subset of features extracted from PET images and…”
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Predictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a random forest classifier by Desbordes, Paul, Ruan, Su, Modzelewski, Romain, Pineau, Pascal, Vauclin, Sébastien, Gouel, Pierrick, Michel, Pierre, Di Fiore, Frédéric, Vera, Pierre, Gardin, Isabelle

“…In oncology, texture features extracted from positron emission tomography with 18-fluorodeoxyglucose images (FDG-PET) are of increasing interest for predictive…”
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Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in comparison with the standard acquisition by Bonardel, Gerald, Dupont, Axel, Decazes, Pierre, Queneau, Mathieu, Modzelewski, Romain, Coulot, Jeremy, Le Calvez, Nicolas, Hapdey, Sébastien

“…Background PET/CT image quality is directly influenced by the F-18-FDG injected activity. The higher the injected activity, the less noise in the reconstructed…”
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Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction by Amyar, Amine, Modzelewski, Romain, Vera, Pierre, Morard, Vincent, Ruan, Su

“…It is proven that radiomic characteristics extracted from the tumor region are predictive. The first step in radiomic analysis is the segmentation of the…”
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Prognostic relevance of sarcopenia, geriatric, and nutritional assessments in older patients with diffuse large B-cell lymphoma: results of a multicentric prospective cohort study by Pénichoux, Juliette, Lanic, Hélène, Thill, Caroline, Ménard, Anne-Lise, Camus, Vincent, Stamatoullas, Aspasia, Lemasle, Emilie, Leprêtre, Stéphane, Lenain, Pascal, Contentin, Nathalie, Kraut-Tauzia, Jerôme, Fruchart, Christophe, Kammoun, Leila, Damaj, Gandhi, Farge, Agathe, Delette, Caroline, Modzelewski, Romain, Vaudaux, Sandrine, Pépin, Louis-Ferdinand, Tilly, Hervé, Jardin, Fabrice

“…This prospective study aimed to investigate the prognostic effect of sarcopenia, geriatric, and nutritional status in older patients with diffuse large B-cell…”
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FDG and FMISO PET-guided dose escalation with intensity-modulated radiotherapy in lung cancer by Thureau, Sébastien, Dubray, Bernard, Modzelewski, Romain, Bohn, Pierre, Hapdey, Sébastien, Vincent, Sabine, Anger, Elodie, Gensanne, David, Pirault, Nicolas, Pierrick, Gouel, Vera, Pierre

“…Concomitant chemo-radiotherapy is the reference treatment for non-resectable locally-advanced Non-Small Cell Lung Cancer (NSCLC). Increasing radiotherapy total…”
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Prognostic value of sarcopenia in patients treated by Radiochemotherapy for locally advanced oesophageal cancer by Mallet, Romain, Modzelewski, Romain, Lequesne, Justine, Mihailescu, Sorina, Decazes, Pierre, Auvray, Hugues, Benyoucef, Ahmed, Di Fiore, Fréderic, Vera, Pierre, Dubray, Bernard, Thureau, Sébastien

“…Sarcopenia is defined by a loss of skeletal muscle mass with or without loss of fat mass. Sarcopenia has been associated to reduced tolerance to treatment and…”
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First Comparison between [18f]-FMISO and [18f]-Faza for Preoperative Pet Imaging of Hypoxia in Lung Cancer by Thureau, Sébastien, Piton, Nicolas, Gouel, Pierrick, Modzelewski, Romain, Dujon, Antoine, Baste, Jean-Marc, Melki, Jean, Rinieri, Philippe, Peillon, Christophe, Rastelli, Olivier, Lequesne, Justine, Hapdey, Sébastien, Sabourin, Jean-Christophe, Bohn, Pierre, Vera, Pierre

“…Hypoxic areas are typically resistant to treatment. However, the fluorine-18-fluoroazomycin-arabinoside (FAZA) and fluorine 18 misonidazole (FMISO) tracers…”
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Evaluation of an Automatic Classification Algorithm Using Convolutional Neural Networks in Oncological Positron Emission Tomography by Pinochet, Pierre, Eude, Florian, Becker, Stéphanie, Shah, Vijay, Sibille, Ludovic, Toledano, Mathieu Nessim, Modzelewski, Romain, Vera, Pierre, Decazes, Pierre

“…Our aim was to evaluate the performance in clinical research and in clinical routine of a research prototype, called positron emission tomography (PET)…”
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A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction by Brochet, Thibaud, Lapuyade-Lahorgue, Jérôme, Huat, Alexandre, Thureau, Sébastien, Pasquier, David, Gardin, Isabelle, Modzelewski, Romain, Gibon, David, Thariat, Juliette, Grégoire, Vincent, Vera, Pierre, Ruan, Su

“…In this paper, we propose to quantitatively compare loss functions based on parameterized Tsallis-Havrda-Charvat entropy and classical Shannon entropy for the…”
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SPECT-computed tomography in rats with TNBS-induced colitis: A first step toward functional imaging by Marion-Letellier, Rachel, Bohn, Pierre, Modzelewski, Romain, Vera, Pierre, Aziz, Moutaz, Guérin, Charlène, Savoye, Guillaume, Savoye-Collet, Céline

“…AIM To assess the feasibility of SPECT-computed tomography(CT) in rats with trinitrobenzene sulfonic acid(TNBS)-induced acute colitis and confront it with…”
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Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24 , 436 by Brochet, Thibaud, Lapuyade-Lahorgue, Jérôme, Huat, Alexandre, Thureau, Sébastien, Pasquier, David, Gardin, Isabelle, Modzelewski, Romain, Gibon, David, Thariat, Juliette, Grégoire, Vincent, Vera, Pierre, Ruan, Su

“…Alexandre Huat, Sébastien Thureau, David Pasquier, Isabelle Gardin, Romain Modzelewski, David Gibon, Juliette Thariat and Vincent Grégoire were not included as…”
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FDG PET during radiochemotherapy is predictive of outcome at 1 year in non-small-cell lung cancer patients: a prospective multicentre study (RTEP2) by Vera, Pierre, Mezzani-Saillard, Sandrine, Edet-Sanson, Agathe, Ménard, Jean-François, Modzelewski, Romain, Thureau, Sebastien, Meyer, Marc-Etienne, Jalali, Khadija, Bardet, Stéphane, Lerouge, Delphine, Houzard, Claire, Mornex, Françoise, Olivier, Pierre, Faure, Guillaume, Rousseau, Caroline, Mahé, Marc-André, Gomez, Philippe, Brenot-Rossi, Isabelle, Salem, Naji, Dubray, Bernard

“…Purpose To assess prospectively the prognostic value of FDG PET/CT during curative-intent radiotherapy (RT) with or without concomitant chemotherapy in…”
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Targeting the Urotensin II/UT G Protein-Coupled Receptor to Counteract Angiogenesis and Mesenchymal Hypoxia/Necrosis in Glioblastoma by Le Joncour, Vadim, Guichet, Pierre-Olivier, Dembélé, Kleouforo-Paul, Mutel, Alexandre, Campisi, Daniele, Perzo, Nicolas, Desrues, Laurence, Modzelewski, Romain, Couraud, Pierre-Olivier, Honnorat, Jérôme, Ferracci, François-Xavier, Marguet, Florent, Laquerrière, Annie, Vera, Pierre, Bohn, Pierre, Langlois, Olivier, Morin, Fabrice, Gandolfo, Pierrick, Castel, Hélène

“…Glioblastomas (GBMs) are the most common primary brain tumors characterized by strong invasiveness and angiogenesis. GBM cells and microenvironment secrete…”
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Development of Novel 111 -In-Labelled DOTA Urotensin II Analogues for Targeting the UT Receptor Overexpressed in Solid Tumours by Poret, Benjamin, Desrues, Laurence, Bonin, Marc-André, Pédard, Martin, Dubois, Martine, Leduc, Richard, Modzelewski, Romain, Decazes, Pierre, Morin, Fabrice, Vera, Pierre, Castel, Hélène, Bohn, Pierre, Gandolfo, Pierrick

“…Overexpression of G protein-coupled receptors (GPCRs) in tumours is widely used to develop GPCR-targeting radioligands for solid tumour imaging in the context…”
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Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation by Amyar, Amine, Modzelewski, Romain, Li, Hua, Ruan, Su

“…This paper presents an automatic classification segmentation tool for helping screening COVID-19 pneumonia using chest CT imaging. The segmented lesions can…”
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Interobserver agreement of qualitative analysis and tumor delineation of 18F-fluoromisonidazole and 3'-deoxy-3'-18F-fluorothymidine PET images in lung cancer by Thureau, Sébastien, Chaumet-Riffaud, Philippe, Modzelewski, Romain, Fernandez, Philippe, Tessonnier, Laurent, Vervueren, Laurent, Cachin, Florent, Berriolo-Riedinger, Alina, Olivier, Pierre, Kolesnikov-Gauthier, Hélène, Blagosklonov, Oleg, Bridji, Boumediene, Devillers, Anne, Collombier, Laurent, Courbon, Fréderic, Gremillet, Eric, Houzard, Claire, Caignon, Jean Marc, Roux, Julie, Aide, Nicolas, Brenot-Rossi, Isabelle, Doyeux, Kaya, Dubray, Bernard, Vera, Pierre

“…As the preparation phase of a multicenter clinical trial using (18)F-fluoro-2-deoxy-d-glucose ((18)F-FDG), (18)F-fluoromisonidazole ((18)F-FMISO), and…”
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Multi-task multi-scale learning for outcome prediction in 3D PET images by Amyar, Amine, Modzelewski, Romain, Vera, Pierre, Morard, Vincent, Ruan, Su

“…Predicting patient response to treatment and survival in oncology is a prominent way towards precision medicine. To this end, radiomics has been proposed as a…”
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Assessing Interobserver Variability in the Delineation of Structures in Radiation Oncology: A Systematic Review by Guzene, Leslie, Beddok, Arnaud, Nioche, Christophe, Modzelewski, Romain, Loiseau, Cedric, Salleron, Julia, Thariat, Juliette

“…The delineation of target volumes and organs at risk is the main source of uncertainty in radiation therapy. Numerous interobserver variability (IOV) studies…”
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Deep learning analysis of contrast-enhanced spectral mammography to determine histoprognostic factors of malignant breast tumours by Dominique, Caroline, Callonnec, Françoise, Berghian, Anca, Defta, Diana, Vera, Pierre, Modzelewski, Romain, Decazes, Pierre

“…Objective To evaluate if a deep learning model can be used to characterise breast cancers on contrast-enhanced spectral mammography (CESM). Methods This…”
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