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| THE MODERN TECHNOLOGY OF RADIATION ONCOLOGY: A Compendium for Medical Physicists and Radiation Oncologists. Volume 4 J Van Dyk Medical Physics 8 (3), 2020 | 394 | 2020 |
| Image biomarker standardisation initiative-feature definitions A Zwanenburg, S Leger, M Vallières, S Löck arXiv preprint arXiv:1612.07003 10, 2016 | 125 | 2016 |
| An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication O Morin, M Vallières, S Braunstein, JB Ginart, T Upadhaya, HC Woodruff, ... Nature Cancer 2 (7), 709-722, 2021 | 60 | 2021 |
| Image biomarker standardisation initiative. arXiv 2016 A Zwanenburg, S Leger, M Vallières, S Löck arXiv preprint arXiv:1612.07003, 0 | 51 | |
| Standardised convolutional filtering for radiomics A Depeursinge, V Andrearczyk, P Whybra, J van Griethuysen, H Müller, ... arXiv preprint arXiv:2006.05470, 2020 | 45 | 2020 |
| A framework for multimodal imaging-based prognostic model building: preliminary study on multimodal MRI in glioblastoma multiforme T Upadhaya, Y Morvan, E Stindel, PJ Le Reste, M Hatt Irbm 36 (6), 345-350, 2015 | 29 | 2015 |
| Comparison and fusion of machine learning algorithms for prospective validation of PET/CT radiomic features prognostic value in stage II-III non-small cell lung cancer S Sepehri, O Tankyevych, T Upadhaya, D Visvikis, M Hatt, ... Diagnostics 11 (4), 675, 2021 | 23 | 2021 |
| Non-invasive imaging prediction of tumor hypoxia: a novel developed and externally validated CT and FDG-PET-based radiomic signatures S Sanduleanu, A Jochems, T Upadhaya, AJG Even, RTH Leijenaar, ... Radiotherapy and oncology 153, 97-105, 2020 | 23 | 2020 |
| Comparison of radiomics models built through machine learning in a multicentric context with independent testing: identical data, similar algorithms, different methodologies T Upadhaya, M Vallières, A Chatterjee, F Lucia, PA Bonaffini, I Masson, ... IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 192-200, 2018 | 23 | 2018 |
| Image biomarker standardisation initiative—feature definitions. 2016 A Zwanenburg, S Leger, M Vallières, S Löck arXiv preprint arXiv:1612.07003, 2019 | 20 | 2019 |
| Prognostic value of multimodal MRI tumor features in glioblastoma multiforme using textural features analysis T Upadhaya, Y Morvan, E Stindel, PJ Le Reste, M Ηatt 2015 IEEE 12th international symposium on biomedical imaging (ISBI), 50-54, 2015 | 18 | 2015 |
| Image biomarker standardisation initiative-feature definitions. arXiv 2016 A Zwanenburg, S Leger, M Vallières, S Löck arXiv preprint arXiv:1612.07003, 2016 | 16 | 2016 |
| Initiative for the IBS A Zwanenburg, S Leger, M Vallières, S Löck Image biomarker standardisation initiative, 2018 | 11 | 2018 |
| 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. S Sepehri, T Upadhaya, MC Desseroit, D Visvikis, CC Le Rest, M Hatt Journal of Nuclear Medicine 59 (supplement 1), 328-328, 2018 | 9 | 2018 |
| Prognosis classification in glioblastoma multiforme using multimodal MRI derived heterogeneity textural features: impact of pre-processing choices T Upadhaya, Y Morvan, E Stindel, PJ Le Reste, M Hatt Medical Imaging 2016: Computer-Aided Diagnosis 9785, 220-227, 2016 | 8 | 2016 |
| Image biomarker standardisation initiative. arXiv [Preprint](2016) A Zwanenburg, S Leger, M Vallières, S Löck arXiv preprint arXiv:1612.07003, 0 | 6 | |
| The image biomarker standardization initiative: Standardized convolutional filters for reproducible radiomics and enhanced clinical insights P Whybra, A Zwanenburg, V Andrearczyk, R Schaer, AP Apte, A Ayotte, ... Radiology 310 (2), e231319, 2024 | 4 | 2024 |
| Ashra nia S, Bakas S, Beukinga RJ, Boellaard R, et al. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based … A Zwanenburg, M Vallieres, MA Abdalah, H Aerts, V Andrearczyk, A Apte Radiology 295 (2), 328-38, 2020 | 4 | 2020 |
| Initiative for the IBS Image biomarker standardisation initiative. arXiv 2016 A Zwanenburg, S Leger, M Vallières, S Löck arXiv preprint arXiv:1612.07003, 0 | 3 | |
Mathieu HattLaTIM, INSERM UMR 1101, Univ Brest, FranceVerified email at inserm.fr
