| Within-subject template estimation for unbiased longitudinal image analysis M Reuter, NJ Schmansky, HD Rosas, B Fischl Neuroimage 61 (4), 1402-1418, 2012 | 2384 | 2012 |
| Highly accurate inverse consistent registration: a robust approach M Reuter, HD Rosas, B Fischl Neuroimage 53 (4), 1181-1196, 2010 | 1415 | 2010 |
| Laplace–Beltrami spectra as ‘Shape-DNA’ of surfaces and solids M Reuter, FE Wolter, N Peinecke Computer-Aided Design 38 (4), 342-366, 2006 | 944 | 2006 |
| Mindboggling morphometry of human brains A Klein, SS Ghosh, FS Bao, J Giard, Y Häme, E Stavsky, N Lee, B Rossa, ... PLoS computational biology 13 (2), e1005350, 2017 | 585 | 2017 |
| Avoiding asymmetry-induced bias in longitudinal image processing M Reuter, B Fischl Neuroimage 57 (1), 19-21, 2011 | 541 | 2011 |
| Head motion during MRI acquisition reduces gray matter volume and thickness estimates M Reuter, MD Tisdall, A Qureshi, RL Buckner, AJW van der Kouwe, ... Neuroimage 107, 107-115, 2015 | 486 | 2015 |
| Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI MD Tisdall, AT Hess, M Reuter, EM Meintjes, B Fischl, ... Magnetic resonance in medicine 68 (2), 389-399, 2012 | 454 | 2012 |
| Statistical Analysis of Longitudinal Neuroimage Data with Linear Mixed Effects Models JL Bernal-Rusiel, DN Greve, M Reuter, B Fischl, MR Sabuncu NeuroImage, 2012 | 403 | 2012 |
| DeepNAT: Deep convolutional neural network for segmenting neuroanatomy C Wachinger, M Reuter, T Klein NeuroImage 170, 434-445, 2018 | 388 | 2018 |
| The dynamics of cortical and hippocampal atrophy in Alzheimer disease MR Sabuncu, RS Desikan, J Sepulcre, BTT Yeo, H Liu, NJ Schmansky, ... Archives of neurology 68 (8), 1040-1048, 2011 | 380 | 2011 |
| Discrete Laplace–Beltrami operators for shape analysis and segmentation M Reuter, S Biasotti, D Giorgi, G Patanè, M Spagnuolo Computers & Graphics 33 (3), 381-390, 2009 | 380 | 2009 |
| Fastsurfer-a fast and accurate deep learning based neuroimaging pipeline L Henschel, S Conjeti, S Estrada, K Diers, B Fischl, M Reuter NeuroImage 219, 117012, 2020 | 361 | 2020 |
| High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas ZM Saygin, D Kliemann, JE Iglesias, AJW van der Kouwe, E Boyd, ... Neuroimage 155, 370-382, 2017 | 360 | 2017 |
| Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ... NeuroImage 111, 562-579, 2015 | 358 | 2015 |
| SHREC’11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes Z Lian, A Godil, B Bustos, M Daoudi, J Hermans, S Kawamura, Y Kurita, ... Eurographics Workshop on 3D Object Retrieval, 79-88, 2011 | 253* | 2011 |
| A comparison of methods for non-rigid 3D shape retrieval Z Lian, A Godil, B Bustos, M Daoudi, J Hermans, S Kawamura, Y Kurita, ... Pattern Recognition 46 (1), 449-461, 2013 | 221 | 2013 |
| Laplace-spectra as fingerprints for shape matching M Reuter, FE Wolter, N Peinecke Proceedings of the 2005 ACM symposium on Solid and physical modeling, 101-106, 2005 | 221 | 2005 |
| Laplace–Beltrami eigenvalues and topological features of eigenfunctions for statistical shape analysis M Reuter, FE Wolter, M Shenton, M Niethammer Computer-Aided Design 41 (10), 739-755, 2009 | 204 | 2009 |
| Hierarchical shape segmentation and registration via topological features of Laplace-Beltrami eigenfunctions M Reuter International Journal of Computer Vision 89, 287-308, 2010 | 199 | 2010 |
| Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases JE Iglesias, K Van Leemput, J Augustinack, R Insausti, B Fischl, M Reuter, ... Neuroimage 141, 542-555, 2016 | 167 | 2016 |
Bruce Fischl or B FischlMass General Hospital/Harvard Medical School在 nmr.mgh.harvard.edu 的电子邮件经过验证
