| 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 | 2401 | 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 | 581 | 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 | 213 | 2020 |
| 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 | 213 | 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 | 203 | 2007 |
| 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 | 151 | 2013 |
| Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation M Ghafoorian, A Mehrtash, T Kapur, N Karssemeijer, E Marchiori, ... International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 120 | 2017 |
| 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, 2014 | 91 | 2014 |
| 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 | 73 | 2015 |
| Image registration for targeted MRI‐guided transperineal prostate biopsy A Fedorov, K Tuncali, FM Fennessy, J Tokuda, N Hata, WM Wells, ... Journal of Magnetic Resonance Imaging 36 (4), 987-992, 2012 | 65 | 2012 |
| 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 | 56 | 2012 |
| Toward real-time image guided neurosurgery using distributed and grid computing N Chrisochoides, A Fedorov, A Kot, N Archip, P Black, O Clatz, A Golby, ... SC 2006 Conference, Proceedings of the ACM/IEEE, 37-37, 2006 | 55 | 2006 |
| 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 | 52 | 2016 |
| 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 | 50 | 2015 |
| In-bore setup and software for 3T MRI-guided transperineal prostate biopsy J Tokuda, K Tuncali, I Iordachita, SE Song, A Fedorov, S Oguro, A Lasso, ... Physics in Medicine & Biology 57 (18), 5823, 2012 | 50 | 2012 |
| 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, 2016 | 44 | 2016 |
| Errors in quantitative image analysis due to platform-dependent image scaling TL Chenevert, DI Malyarenko, D Newitt, X Li, M Jayatilake, A Tudorica, ... Translational oncology 7 (1), 65-71, 2014 | 43 | 2014 |
| A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: a step towards practical implementation A Fedorov, J Fluckiger, GD Ayers, X Li, SN Gupta, C Tempany, R Mulkern, ... Magnetic resonance imaging 32 (4), 321-329, 2014 | 39 | 2014 |
| Evaluation of brain MRI alignment with the robust Hausdorff distance measures A Fedorov, E Billet, M Prastawa, G Gerig, A Radmanesh, S Warfield, ... Advances in Visual Computing, 594-603, 2008 | 39 | 2008 |
| 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 | 38 | 2017 |
fiona fennessyBrigham and Women's Hospital. Dana-Farber Cancer InstituteVerified email at bwh.harvard.edu
