| The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ... Radiology 295 (2), 328-338, 2020 | 2347 | 2020 |
| LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity C Nioche, F Orlhac, S Boughdad, S Reuzé, J Goya-Outi, C Robert, ... Cancer research 78 (16), 4786-4789, 2018 | 829 | 2018 |
| A postreconstruction harmonization method for multicenter radiomic studies in PET F Orlhac, S Boughdad, C Philippe, H Stalla-Bourdillon, C Nioche, ... Journal of Nuclear Medicine 59 (8), 1321-1328, 2018 | 324 | 2018 |
| Validation of a method to compensate multicenter effects affecting CT Radiomics F Orlhac, F Frouin, C Nioche, N Ayache, I Buvat Radiology 291 (1), 53-59, 2019 | 302 | 2019 |
| Functional MR imaging in assessment of language dominance in epileptic patients P Sabbah, F Chassoux, C Leveque, E Landre, S Baudoin-Chial, ... Neuroimage 18 (2), 460-467, 2003 | 197 | 2003 |
| fMRI IN ASSESSMENT OF LANGUAGE DOMINANCE IN EPILEPTIC PATIENTS P Sabbah, F Chassoux, C Leveque, E Landre, S Baudoin-Chial, ... RIVISTA DI NEURORADIOLOGIA 16 (6), 1087-1091, 2003 | 197* | 2003 |
| Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners S Reuzé, F Orlhac, C Chargari, C Nioche, E Limkin, F Riet, A Escande, ... Oncotarget 8 (26), 43169, 2017 | 142 | 2017 |
| Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired wi th different scanners. S Reuzé, F Orlhac, C Chargari, C Nioche, E Limkin, F Riet, A Escande, ... | 142 | |
| Sensorimotor cortical activity in patients with complete spinal cord injury: a functional magnetic resonance imaging study P Sabbah, S De Schonen, C Leveque, S Gay, F Pfefer, C Nioche, ... Journal of neurotrauma 19 (1), 53-60, 2002 | 133 | 2002 |
| How can we combat multicenter variability in MR radiomics? Validation of a correction procedure F Orlhac, A Lecler, J Savatovski, J Goya-Outi, C Nioche, F Charbonneau, ... European Radiology, 1-9, 2020 | 120 | 2020 |
| Understanding changes in tumor texture indices in PET: a comparison between visual assessment and index values in simulated and patient data F Orlhac, C Nioche, M Soussan, I Buvat Journal of Nuclear Medicine 58 (3), 387-392, 2017 | 115 | 2017 |
| 18F-FDG-PET dissemination features in diffuse large B cell lymphoma are prognostic of outcome AS Cottereau, C Nioche, AS Dirand, J Clerc, F Morschhauser, ... Journal of Nuclear Medicine, jnumed. 119.229450, 2019 | 114 | 2019 |
| Texture analysis as a predictor of radiation-induced xerostomia in head and neck patients undergoing IMRT V Nardone, P Tini, C Nioche, MA Mazzei, T Carfagno, G Battaglia, ... La radiologia medica 123 (6), 415-423, 2018 | 54 | 2018 |
| Multimodal anatomic, functional, and metabolic brain imaging for tumor resection P Sabbah, H Foehrenbach, G Dutertre, C Nioche, O DeDreuille, ... Clinical imaging 26 (1), 6-12, 2002 | 49 | 2002 |
| Evaluation of quantitative criteria for glioma grading with static and dynamic 18F-FDopa PET/CT C Nioche, M Soret, E Gontier, M Lahutte, G Dutertre, R Dulou, L Capelle, ... Clinical nuclear medicine 38 (2), 81-87, 2013 | 46 | 2013 |
| A freeware for tumor heterogeneity characterization in PET, SPECT, CT, MRI and US to accelerate advances in radiomics C Nioche, F Orlhac, S Boughdad, S Reuze, M Soussan, C Robert, ... Journal of Nuclear Medicine 58 (supplement 1), 1316-1316, 2017 | 43 | 2017 |
| Computation of reliable textural indices from multimodal brain MRI: suggestions based on a study of patients with diffuse intrinsic pontine glioma J Goya-Outi, F Orlhac, R Calmon, A Alentorn, C Nioche, C Philippe, ... Physics in Medicine & Biology 63 (10), 105003, 2018 | 37 | 2018 |
| New insights in radiation-induced leukoencephalopathy: a prospective cross-sectional study F Bompaire, M Lahutte, S Buffat, C Soussain, AE Ardisson, R Terziev, ... Supportive Care in Cancer 26 (12), 4217-4226, 2018 | 33 | 2018 |
| Correction for magnetic field inhomogeneities and normalization of voxel values are needed to better reveal the potential of MR radiomic features in lung cancer M Lacroix, F Frouin, AS Dirand, C Nioche, F Orlhac, JF Bernaudin, ... Frontiers in oncology 10, 43, 2020 | 23 | 2020 |
| Influence of age on radiomic features in 18F-FDG PET in normal breast tissue and in breast cancer tumors S Boughdad, C Nioche, F Orlhac, L Jehl, L Champion, I Buvat Oncotarget 9 (56), 30855, 2018 | 13 | 2018 |
