| Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment C Yin, P Imms, M Cheng, A Amgalan, NF Chowdhury, RJ Massett, ... Proceedings of the National Academy of Sciences 120 (2), e2214634120, 2023 | 39 | 2023 |
| Divergent cortical tau positron emission tomography patterns among patients with preclinical Alzheimer disease CB Young, JR Winer, K Younes, KA Cody, TJ Betthauser, SC Johnson, ... JAMA neurology 79 (6), 592-603, 2022 | 37 | 2022 |
| Combining boundary-based methods with tensor-based morphometry in the measurement of longitudinal brain change E Fletcher, A Knaack, B Singh, E Lloyd, E Wu, O Carmichael, C DeCarli IEEE transactions on medical imaging 32 (2), 223-236, 2012 | 26 | 2012 |
| Convolutional neural net learning can achieve production-level brain segmentation in structural magnetic resonance imaging E Fletcher, C DeCarli, AP Fan, A Knaack Frontiers in Neuroscience 15, 683426, 2021 | 16 | 2021 |
| Etiology of white matter hyperintensities in autosomal dominant and sporadic Alzheimer disease Z Shirzadi, SA Schultz, WYW Yau, N Joseph-Mathurin, CD Fitzpatrick, ... JAMA neurology 80 (12), 1353-1363, 2023 | 12 | 2023 |
| Increased medial temporal tau positron emission tomography uptake in the absence of amyloid-β positivity A Costoya-Sánchez, A Moscoso, J Silva-Rodríguez, MJ Pontecorvo, ... JAMA neurology 80 (10), 1051-1061, 2023 | 10 | 2023 |
| Spatial extent of amyloid-β levels and associations with tau-PET and cognition H Ozlen, AP Binette, T Köbe, PF Meyer, J Gonneaud, F St-Onge, ... JAMA neurology 79 (10), 1025-1035, 2022 | 10 | 2022 |
| New phenotype discovery method by unsupervised deep representation learning empowers genetic association studies of brain imaging K Patel, Z Xie, H Yuan, SMS Islam, W Zhang, A Gottlieb, H Chen, ... medRxiv, 2022.12. 10.22283302, 2022 | 8 | 2022 |
| Systems and methods for measuring longitudinal brain change incorporating boundary-based analysis with tensor-based morphometry E Fletcher, C DeCarli, B Singh, A Knaack US Patent App. 13/851,658, 2013 | 6 | 2013 |
| Associations of sex, race, and apolipoprotein e alleles with multiple domains of cognition among older adults S Walters, AG Contreras, JM Eissman, S Mukherjee, ML Lee, SE Choi, ... JAMA neurology 80 (9), 929-939, 2023 | 5 | 2023 |
| Applications of deep learning to brain segmentation and labeling of mri brain structures E Fletcher, A Knaack Handbook of Pattern Recognition and Computer Vision, 251-270, 2020 | 2 | 2020 |
| Genetic associations with dementia‐related proteinopathy: Application of item response theory Y Katsumata, DW Fardo, LMP Shade, X Wu, SD Karanth, TJ Hohman, ... Alzheimer's & Dementia 20 (4), 2906-2921, 2024 | 1 | 2024 |
| Association Between False Memories and Delusions in Alzheimer Disease E McLachlan, D Ocal, N Burgess, S Reeves, R Howard, MW Weiner, ... JAMA psychiatry 80 (7), 700-709, 2023 | 1 | 2023 |
| Association of Hispanic/Latino background and brain structure in Hispanics/Latinos from the SOL‐INCA MRI study CS DeCarli, W Tarraf, KA Gonzalez, AM Stickel, EM Fletcher, A Knaack, ... Alzheimer's & Dementia 17, e053150, 2021 | 1 | 2021 |
| Eye-hand coordination assessment method using a haptic virtual environment with a complex valued neural networks training algorithm N Pernalete, A Raheja, A Knaack Proceedings of the 8th ACM International Conference on PErvasive …, 2015 | 1 | 2015 |
| Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging K Patel, Z Xie, H Yuan, SMS Islam, Y Xie, W He, W Zhang, A Gottlieb, ... Communications Biology 7 (1), 414, 2024 | | 2024 |
| Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data T Jo, J Kim, P Bice, K Huynh, T Wang, M Arnold, PJ Meikle, C Giles, ... EBioMedicine 97, 2023 | | 2023 |
| Towards a generalized deep learning framework for production scale segmentation of brain structures: Neuroimaging/New imaging methods SG McDougall, JM Delahanty, F Sandoval, A Knaack, E Fletcher, ... Alzheimer's & Dementia 16, e038010, 2020 | | 2020 |
| Towards a Generalized Deep Learning Framework for Production Scale Segmentation of Brain Structures SG McDougall, JM Delahanty, F Sandoval, A Knaack, E Fletcher, ... 2020 Alzheimer's Association International Conference, 2020 | | 2020 |
| P1‐417: DEEP LEARNING FOR PRODUCTION SCALE BRAIN EXTRACTION IN MRI: RESULTS BASED ON LARGE DATASET TRAINING E Fletcher, A Knaack, C Decarli Alzheimer's & Dementia 15, P422-P423, 2019 | | 2019 |
Evan FletcherProject Scientist, Department of Neurology, UC DavisVerified email at ucdavis.edu
