| Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility X Li, L Chen, K Kutten, C Ceritoglu, Y Li, N Kang, JT Hsu, Y Qiao, H Wei, ... NeuroImage 191, 337-349, 2019 | 72 | 2019 |
| Segmentation of brain magnetic resonance images based on multi-atlas likelihood fusion: testing using data with a broad range of anatomical and photometric profiles X Tang, D Crocetti, K Kutten, C Ceritoglu, MS Albert, S Mori, SH Mostofsky, ... Frontiers in neuroscience 9, 61, 2015 | 64 | 2015 |
| Multi-contrast multi-atlas parcellation of diffusion tensor imaging of the human brain X Tang, S Yoshida, J Hsu, TAGM Huisman, AV Faria, K Oishi, K Kutten, ... PloS one 9 (5), e96985, 2014 | 63 | 2014 |
| Evaluation of cross-protocol stability of a fully automated brain multi-atlas parcellation tool Z Liang, X He, C Ceritoglu, X Tang, Y Li, KS Kutten, K Oishi, MI Miller, ... PloS one 10 (7), e0133533, 2015 | 42 | 2015 |
| Adaptive Postprocessing Techniques for Myocardial Tissue Tracking with Displacement-encoded MR Imaging1 H Wen, KA Marsolo, EE Bennett, KS Kutten, RP Lewis, DB Lipps, ... Radiology 246 (1), 229-240, 2008 | 40 | 2008 |
| Test–retest reproducibility of a multi‐atlas automated segmentation tool on multimodality brain MRI TJR Rezende, BM Campos, J Hsu, Y Li, C Ceritoglu, K Kutten, ... Brain and behavior 9 (10), e01363, 2019 | 31 | 2019 |
| 3D normal coordinate systems for cortical areas JT Ratnanather, S Arguillère, KS Kutten, P Hubka, A Kral, L Younes Mathematics of shapes and applications, 167-179, 2020 | 19 | 2020 |
| A large deformation diffeomorphic approach to registration of CLARITY images via mutual information KS Kutten, N Charon, MI Miller, JT Ratnanather, J Matelsky, AD Baden, ... International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 14 | 2017 |
| Deformably registering and annotating whole CLARITY brains to an atlas via masked LDDMM KS Kutten, JT Vogelstein, N Charon, L Ye, K Deisseroth, MI Miller Optics, Photonics and Digital Technologies for Imaging Applications IV 9896 …, 2016 | 14 | 2016 |
| A diffeomorphic approach to multimodal registration with mutual information: Applications to CLARITY mouse brain images KS Kutten, N Charon, MI Miller, JT Ratnanather, K Deisseroth, L Ye, ... ArXiv e-prints, 2016 | 8 | 2016 |
| Simultaneous skull-stripping and lateral ventricle segmentation via fast multi-atlas likelihood fusion X Tang, K Kutten, C Ceritoglu, S Mori, MI Miller Medical Imaging 2015: Image Processing 9413, 94130W, 2015 | 7 | 2015 |
| Motor cortical thickness is related to effort-based decision-making in humans A Umesh, KS Kutten, PS Hogan, JT Ratnanather, VS Chib Journal of neurophysiology 123 (6), 2373-2381, 2020 | 6 | 2020 |
| Computerized paired associate learning performance and imaging biomarkers in older adults without dementia C Pettigrew, A Soldan, R Brichko, Y Zhu, MC Wang, K Kutten, M Bilgel, ... Brain Imaging and Behavior, 1-9, 2021 | 5 | 2021 |
| A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar Disorder TL Athey, C Ceritoglu, DJ Tward, KS Kutten, JR DePaulo, K Glazer, ... Frontiers in Psychiatry 12, 99, 2021 | 5 | 2021 |
| Visualising the topography of the acoustic radiation in clinical diffusion tensor imaging scans SB Dhir, KS Kutten, M Li, AV Faria, L Younes, JT Ratnanather Neuroradiology 62 (9), 1157-1167, 2020 | 2 | 2020 |
| An image registration pipeline for analysis of transsynaptic tracing in mice KS Kutten, SM Eacker, VL Dawson, TM Dawson, T Ratnanather, MI Miller Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and …, 2016 | 2 | 2016 |
| A Large Deformation Diffeomorphic Approach to Inter-modality Registration of Microscopy Images via Mutual Information KS Kutten Johns Hopkins University, 2017 | | 2017 |
| Multi-atlas tool for automated magnetic susceptibility quantification in brain nuclei AV Faria, L Chen, K Kutten, C Ceritoglu, N Kang, L Pan, Y Qiao, M Miller, ... | | |
