| Association of cardiovascular risk factors with MRI indices of cerebrovascular structure and function and white matter hyperintensities in young adults W Williamson, AJ Lewandowski, ND Forkert, L Griffanti, TW Okell, J Betts, ... Jama 320 (7), 665-673, 2018 | 132 | 2018 |
| Real‐time biomechanics using the finite element method and machine learning: Review and perspective R Phellan, B Hachem, J Clin, JM Mac‐Thiong, L Duong Medical Physics 48 (1), 7-18, 2021 | 69 | 2021 |
| Vascular segmentation in TOF MRA images of the brain using a deep convolutional neural network R Phellan, A Peixinho, A Falcão, ND Forkert Intravascular Imaging and Computer Assisted Stenting, and Large-Scale …, 2017 | 60 | 2017 |
| Comparison of vessel enhancement algorithms applied to time‐of‐flight MRA images for cerebrovascular segmentation R Phellan, ND Forkert Medical physics 44 (11), 5901-5915, 2017 | 28 | 2017 |
| Medical image segmentation via atlases and fuzzy object models: Improving efficacy through optimum object search and fewer models R Phellan, AX Falcão, JK Udupa Medical physics 43 (1), 401-410, 2016 | 27 | 2016 |
| Automatic temporal segmentation of vessels of the brain using 4D ASL MRA images R Phellan, T Lindner, M Helle, AX Falcao, ND Forkert IEEE transactions on biomedical engineering 65 (7), 1486-1494, 2017 | 18 | 2017 |
| Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting H Liao, S Balocco, G Wang, F Zhang, Y Liu, Z Ding, L Duong, R Phellan, ... Proceedings of the CVII-STENT, 2019 | 11 | 2019 |
| Improving atlas-based medical image segmentation with a relaxed object search R Phellan, AX Falcao, J Udupa Computational Modeling of Objects Presented in Images. Fundamentals, Methods …, 2014 | 10 | 2014 |
| SEEGAtlas: A framework for the identification and classification of depth electrodes using clinical images R Zelmann, B Frauscher, RP Aro, HE Gueziri, DL Collins Journal of Neural Engineering 20 (3), 036021, 2023 | 5 | 2023 |
| A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms R Phellan, T Lindner, M Helle, AX Falcao, TW Okell, ND Forkert Medical image analysis 56, 184-192, 2019 | 5 | 2019 |
| Segmentation-based blood flow parameter refinement in cerebrovascular structures using 4-D arterial spin labeling MRA R Phellan, T Lindner, M Helle, AX Falcao, CL Yasuda, M Sokolska, ... IEEE Transactions on Biomedical Engineering 67 (7), 1936-1946, 2019 | 4 | 2019 |
| Vessel segmentation in 4D arterial spin labeling magnetic resonance angiography images of the brain R Phellan, T Lindner, AX Falcão, ND Forkert Medical Imaging 2017: Computer-Aided Diagnosis 10134, 326-334, 2017 | 4 | 2017 |
| Medical image segmentation using object atlas versus object cloud models R Phellan, AX Falcão, JK Udupa Proceedings of SPIE 2015, 2015 | 4 | 2015 |
| Robust cerebrovascular segmentation in 4D ASL MRA images R Phellan, T Linder, M Helle, AX Falcão, ND Forkert 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 3 | 2018 |
| Medical image segmentation using statistical and fuzzy object shape models R Phellan Master’s thesis, Institute of Computing, University of Campinas (UNICAMP), 2014 | 3 | 2014 |
| Medical image segmentation using object shape models: A critical review on recent trends, and alternative directions AX Falcão, TV Spina, SB Martins, R Phellan Proc. of the Eccomas Thematic Conference on Computational Vision and Medical …, 2015 | 2 | 2015 |
| Automatic detection of age-and sex-related differences in human brain morphology R Phellan, L Rodrigues, GR Pinheiro, AQ Soto, ID Rodrigues, L Rittner, ... Proceedings of International Society for Magnetic Resonance in Medicine …, 2019 | 1 | 2019 |
| The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets-A Flow Phantom Study R Phellan, T Lindner, M Helle, AX Falcão, ND Forkert Machine Learning and Medical Engineering for Cardiovascular Health and …, 2019 | 1 | 2019 |
| Four-Dimensional ASL MR Angiography Phantoms with Noise Learned by Neural Styling R Phellan, T Linder, M Helle, TV Spina, A Falcão, ND Forkert Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018 | 1 | 2018 |
| Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting. First International Workshop, MLMECH 2019 and 8th … L Hongen, S Balocco, W Guijin, Z Feng, L Yongpan, D Zijian, L Duong, ... Springer International Publishing, 2019 | | 2019 |
