Romain Modzelewski
Romain Modzelewski
Responsable informatique biomédical - Centre Henri Becquerel - LITIS EA 4108
Adresse e-mail validée de
Citée par
Citée par
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation
A Amyar, R Modzelewski, H Li, S Ruan
Computers in biology and medicine 126, 104037, 2020
Sarcopenia is an independent prognostic factor in elderly patients with diffuse large B-cell lymphoma treated with immunochemotherapy
H Lanic, J Kraut-Tauzia, R Modzelewski, F Clatot, S Mareschal, ...
Leukemia & lymphoma 55 (4), 817-823, 2014
Simultaneous positron emission tomography (PET) assessment of metabolism with 18F-fluoro-2-deoxy-d-glucose (FDG), proliferation with 18F-fluoro-thymidine (FLT), and hypoxia …
P Vera, P Bohn, A Edet-Sanson, A Salles, S Hapdey, I Gardin, JF Ménard, ...
Radiotherapy and Oncology 98 (1), 109-116, 2011
Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier
D Paul, R Su, M Romain, V Sébastien, V Pierre, G Isabelle
Computerized Medical Imaging and Graphics 60, 42-49, 2017
Prognostic impact of fat tissue loss and cachexia assessed by computed tomography scan in elderly patients with diffuse large B‐cell lymphoma treated with immunochemotherapy
V Camus, H Lanic, J Kraut, R Modzelewski, F Clatot, JM Picquenot, ...
European Journal of Haematology 93 (1), 9-18, 2014
Phase II study of a radiotherapy total dose increase in hypoxic lesions identified by 18F-misonidazole PET/CT in patients with non–small cell lung carcinoma (RTEP5 study)
P Vera, S Thureau, P Chaumet-Riffaud, R Modzelewski, P Bohn, ...
Journal of Nuclear Medicine 58 (7), 1045-1053, 2017
Areas of high 18F-FDG uptake on preradiotherapy PET/CT identify preferential sites of local relapse after chemoradiotherapy for non–small cell lung cancer
J Calais, S Thureau, B Dubray, R Modzelewski, L Thiberville, I Gardin, ...
Journal of nuclear medicine 56 (2), 196-203, 2015
Spotting L3 slice in CT scans using deep convolutional network and transfer learning
S Belharbi, C Chatelain, R Hérault, S Adam, S Thureau, M Chastan, ...
Computers in biology and medicine 87, 95-103, 2017
Serial assessment of FDG-PET FDG uptake and functional volume during radiotherapy (RT) in patients with non-small cell lung cancer (NSCLC)
A Edet-Sanson, B Dubray, K Doyeux, A Back, S Hapdey, R Modzelewski, ...
Radiotherapy and Oncology 102 (2), 251-257, 2012
Baseline total metabolic tumor volume measured with fixed or different adaptive thresholding methods equally predicts outcome in peripheral T cell lymphoma
AS Cottereau, S Hapdey, L Chartier, R Modzelewski, O Casasnovas, E Itti, ...
Journal of Nuclear Medicine 58 (2), 276-281, 2017
FDG PET during radiochemotherapy is predictive of outcome at 1 year in non-small-cell lung cancer patients: a prospective multicentre study (RTEP2)
P Vera, S Mezzani-Saillard, A Edet-Sanson, JF Ménard, R Modzelewski, ...
European journal of nuclear medicine and molecular imaging 41, 1057-1065, 2014
Pretreatment metabolic tumour volume is predictive of disease-free survival and overall survival in patients with oesophageal squamous cell carcinoma
C Lemarignier, F Di Fiore, C Marre, S Hapdey, R Modzelewski, P Gouel, ...
European journal of nuclear medicine and molecular imaging 41, 2008-2016, 2014
Does recombinant human thyrotropin-stimulated positron emission tomography with [18F] fluoro-2-deoxy-D-glucose improve detection of recurrence of well-differentiated thyroid …
P Vera, C Kuhn-Lansoy, A Edet-Sanson, S Hapdey, R Modzelewski, ...
Thyroid 20 (1), 15-23, 2010
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
P Desbordes, S Ruan, R Modzelewski, P Pineau, S Vauclin, P Gouel, ...
PLoS One 12 (3), e0173208, 2017
Interobserver agreement of qualitative analysis and tumor delineation of 18F-fluoromisonidazole and 3′-deoxy-3′-18F-fluorothymidine PET images in lung cancer
S Thureau, P Chaumet-Riffaud, R Modzelewski, P Fernandez, ...
Journal of Nuclear Medicine 54 (9), 1543-1550, 2013
Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation
A Schaefer, M Vermandel, C Baillet, AS Dewalle-Vignion, R Modzelewski, ...
European journal of nuclear medicine and molecular imaging 43, 911-924, 2016
3-d rpet-net: development of a 3-d pet imaging convolutional neural network for radiomics analysis and outcome prediction
A Amyar, S Ruan, I Gardin, C Chatelain, P Decazes, R Modzelewski
IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 225-231, 2019
IODA: An input/output deep architecture for image labeling
J Lerouge, R Hérault, C Chatelain, F Jardin, R Modzelewski
Pattern Recognition 48 (9), 2847-2858, 2015
Lower subcutaneous or visceral adiposity assessed by abdominal computed tomography could predict adverse outcome in patients with Crohn’s disease
C Thiberge, C Charpentier, A Gillibert, R Modzelewski, JN Dacher, ...
Journal of Crohn's and Colitis 12 (12), 1429-1437, 2018
FDG and FMISO PET-guided dose escalation with intensity-modulated radiotherapy in lung cancer
S Thureau, B Dubray, R Modzelewski, P Bohn, S Hapdey, S Vincent, ...
Radiation oncology 13, 1-7, 2018
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20