| Early brain development in infants at high risk for autism spectrum disorder HC Hazlett, H Gu, BC Munsell, SH Kim, M Styner, JJ Wolff, JT Elison, ... Nature 542 (7641), 348-351, 2017 | 1070 | 2017 |
| Scalable high-performance image registration framework by unsupervised deep feature representations learning G Wu, M Kim, Q Wang, BC Munsell, D Shen IEEE transactions on biomedical engineering 63 (7), 1505-1516, 2015 | 334 | 2015 |
| Detecting anatomical landmarks for fast Alzheimer’s disease diagnosis J Zhang, Y Gao, Y Gao, BC Munsell, D Shen IEEE transactions on medical imaging 35 (12), 2524-2533, 2016 | 199 | 2016 |
| Domain transfer learning for MCI conversion prediction B Cheng, M Liu, D Zhang, BC Munsell, D Shen IEEE Transactions on Biomedical Engineering 62 (7), 1805-1817, 2015 | 189 | 2015 |
| Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data BC Munsell, CY Wee, SS Keller, B Weber, C Elger, LAT da Silva, ... Neuroimage 118, 219-230, 2015 | 169 | 2015 |
| Deep learning applied to whole‐brain connectome to determine seizure control after epilepsy surgery E Gleichgerrcht, B Munsell, S Bhatia, WA Vandergrift III, C Rorden, ... Epilepsia 59 (9), 1643-1654, 2018 | 111 | 2018 |
| Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition G Wu, M Kim, G Sanroma, Q Wang, BC Munsell, D Shen, ... NeuroImage 106, 34-46, 2015 | 111 | 2015 |
| Person identification using full-body motion and anthropometric biometrics from kinect videos BC Munsell, A Temlyakov, C Qu, S Wang Computer Vision–ECCV 2012. Workshops and Demonstrations: Florence, Italy …, 2012 | 100 | 2012 |
| Temporal lobe epilepsy surgical outcomes can be inferred based on structural connectome hubs: a machine learning study E Gleichgerrcht, SS Keller, DL Drane, BC Munsell, KA Davis, E Kaestner, ... Annals of neurology 88 (5), 970-983, 2020 | 82 | 2020 |
| Two perceptually motivated strategies for shape classification A Temlyakov, BC Munsell, JW Waggoner, S Wang 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 79 | 2010 |
| Clinical Sites. Data Coordinating Center. Image Processing Core. Statistical Analysis. Early brain development in infants at high risk for autism spectrum disorder HC Hazlett, H Gu, BC Munsell, SH Kim, M Styner, JJ Wolff, JT Elison, ... Nature 542 (7641), 348-351, 2017 | 72 | 2017 |
| The ENIGMA‐Epilepsy working group: Mapping disease from large data sets SM Sisodiya, CD Whelan, SN Hatton, K Huynh, A Altmann, M Ryten, ... Human brain mapping 43 (1), 113-128, 2022 | 60 | 2022 |
| White matter connectomes at birth accurately predict cognitive abilities at age 2 JB Girault, BC Munsell, D Puechmaille, BD Goldman, JC Prieto, M Styner, ... Neuroimage 192, 145-155, 2019 | 56 | 2019 |
| Evaluating shape correspondence for statistical shape analysis: A benchmark study BC Munsell, P Dalal, S Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (11), 2023 …, 2008 | 56 | 2008 |
| Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning Z Wang, X Zhu, E Adeli, Y Zhu, F Nie, B Munsell, G Wu Medical image analysis 39, 218-230, 2017 | 55 | 2017 |
| A fast 3d correspondence method for statistical shape modeling P Dalal, BC Munsell, S Wang, J Tang, K Oliver, H Ninomiya, X Zhou, ... 2007 IEEE Conference on computer vision and pattern recognition, 1-8, 2007 | 54 | 2007 |
| Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study E Gleichgerrcht, BC Munsell, S Alhusaini, MKM Alvim, N Bargalló, ... NeuroImage: Clinical 31, 102765, 2021 | 38 | 2021 |
| Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning C Zu, Y Gao, B Munsell, M Kim, Z Peng, JR Cohen, D Zhang, G Wu Brain imaging and behavior 13, 879-892, 2019 | 27 | 2019 |
| Identifying high order brain connectome biomarkers via learning on hypergraph C Zu, Y Gao, B Munsell, M Kim, Z Peng, Y Zhu, W Gao, D Zhang, D Shen, ... Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016 …, 2016 | 27 | 2016 |
| Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning BC Munsell, G Wu, J Fridriksson, K Thayer, N Mofrad, N Desisto, D Shen, ... Brain and Language 193, 45-57, 2019 | 24 | 2019 |
