| 3D Slicer as an image computing platform for the Quantitative Imaging Network A Fedorov, R Beichel, J Kalpathy-Cramer, J Finet, JC Fillion-Robin, ... Magnetic resonance imaging 30 (9), 1323-1341, 2012 | 7806 | 2012 |
| Computational Radiomics System to Decode the Radiographic Phenotype JJM van Griethuysen, A Fedorov, C Parmar, A Hosny, N Aucoin, ... Cancer Research 77 (21), e104-e107, 2017 | 5169 | 2017 |
| 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 | 2842 | 2020 |
| Transfer learning for domain adaptation in MRI: Application in brain lesion segmentation M Ghafoorian, A Mehrtash, T Kapur, N Karssemeijer, E Marchiori, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 427 | 2017 |
| Multiparametric MRI of prostate cancer: An update on state‐of‐the‐art techniques and their performance in detecting and localizing prostate cancer JV Hegde, RV Mulkern, LP Panych, FM Fennessy, A Fedorov, SE Maier, ... Journal of Magnetic Resonance Imaging 37 (5), 1035-1054, 2013 | 290 | 2013 |
| GBM Volumetry using the 3D Slicer Medical Image Computing Platform J Egger, T Kapur, A Fedorov, S Pieper, JV Miller, H Veeraraghavan, ... Scientific Reports 3, 2013 | 278 | 2013 |
| Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery N Archip, O Clatz, S Whalen, D Kacher, A Fedorov, A Kot, ... Neuroimage 35 (2), 609-624, 2007 | 246 | 2007 |
| Repeatability of Multiparametric Prostate MRI Radiomics Features M Schwier, J van Griethuysen, MG Vangel, S Pieper, S Peled, C Tempany, ... Scientific Reports 9 (1), 9441, 2019 | 233 | 2019 |
| CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII B Kocak, B Baessler, S Bakas, R Cuocolo, A Fedorov, L Maier-Hein, ... Insights into imaging 14 (1), 75, 2023 | 173 | 2023 |
| Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge W Huang, X Li, Y Chen, X Li, MC Chang, MJ Oborski, DI Malyarenko, ... Translational oncology 7 (1), 153-166, 2014 | 164 | 2014 |
| Implementing the DICOM standard for digital pathology MD Herrmann, DA Clunie, A Fedorov, SW Doyle, S Pieper, V Klepeis, ... Journal of pathology informatics 9 (1), 37, 2018 | 131 | 2018 |
| DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research A Fedorov, D Clunie, E Ulrich, C Bauer, A Wahle, B Brown, M Onken, ... PeerJ 4, e2057, 2016 | 112 | 2016 |
| Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks A Mehrtash, A Sedghi, M Ghafoorian, M Taghipour, CM Tempany, ... SPIE Medical Imaging, 101342A-101342A-4, 2017 | 104 | 2017 |
| Transperineal in-bore 3-T MR imaging–guided prostate biopsy: a prospective clinical observational study T Penzkofer, K Tuncali, A Fedorov, SE Song, J Tokuda, FM Fennessy, ... Radiology 274 (1), 170-180, 2015 | 101 | 2015 |
| The impact of arterial input function determination variations on prostate dynamic contrast-enhanced magnetic resonance imaging pharmacokinetic modeling: a multicenter data … W Huang, Y Chen, A Fedorov, X Li, GH Jajamovich, DI Malyarenko, ... Tomography 2 (1), 56-66, 2016 | 96 | 2016 |
| Increasing the Impact of Medical Image Computing Using Community-Based Open-Access Hackathons: the NA-MIC and 3D Slicer Experience T Kapur, S Pieper, A Fedorov, JC Fillion-Robin, M Halle, L O'Donnell, ... Medical Image Analysis, 2016 | 88 | 2016 |
| Multiparametric Magnetic Resonance Imaging of the Prostate: Repeatability of Volume and Apparent Diffusion Coefficient Quantification A Fedorov, MG Vangel, CM Tempany, FM Fennessy Investigative Radiology 52 (9), 538-546, 2017 | 82 | 2017 |
| 3T MR‐guided in‐bore transperineal prostate biopsy: A comparison of robotic and manual needle‐guidance templates G Tilak, K Tuncali, SE Song, J Tokuda, O Olubiyi, F Fennessy, A Fedorov, ... Journal of Magnetic Resonance Imaging 42 (1), 63-71, 2015 | 81 | 2015 |
| Practical considerations in T1 mapping of prostate for dynamic contrast enhancement pharmacokinetic analyses FM Fennessy, A Fedorov, SN Gupta, EJ Schmidt, CM Tempany, ... Magnetic resonance imaging 30 (9), 1224-1233, 2012 | 79 | 2012 |
| Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy A Mehrtash, M Ghafoorian, G Pernelle, A Ziaei, FG Heslinga, K Tuncali, ... IEEE transactions on medical imaging 38 (4), 1026-1036, 2018 | 75 | 2018 |
Ron KikinisB. Leonard Holman Professor of Radiology, Harvard Medical Schoolایمیل تأیید شده در bwh.harvard.edu
