| Few-shot NLG with pre-trained language model Z Chen, H Eavani, W Chen, Y Liu, WY Wang arXiv preprint arXiv:1904.09521, 2019 | 139 | 2019 |
| Unsupervised learning of functional network dynamics in resting state fMRI H Eavani, TD Satterthwaite, RE Gur, RC Gur, C Davatzikos Information Processing in Medical Imaging: 23rd International Conference …, 2013 | 107 | 2013 |
| Identifying sparse connectivity patterns in the brain using resting-state fMRI H Eavani, TD Satterthwaite, R Filipovych, RE Gur, RC Gur, C Davatzikos Neuroimage 105, 286-299, 2015 | 100 | 2015 |
| Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods H Eavani, M Habes, TD Satterthwaite, Y An, MK Hsieh, N Honnorat, ... Neurobiology of aging 71, 41-50, 2018 | 85 | 2018 |
| GraSP: geodesic graph-based segmentation with shape priors for the functional parcellation of the cortex N Honnorat, H Eavani, TD Satterthwaite, RE Gur, RC Gur, C Davatzikos Neuroimage 106, 207-221, 2015 | 76 | 2015 |
| Sparse dictionary learning of resting state fMRI networks H Eavani, R Filipovych, C Davatzikos, TD Satterthwaite, RE Gur, RC Gur 2012 Second International Workshop on Pattern Recognition in NeuroImaging, 73-76, 2012 | 49 | 2012 |
| Capturing heterogeneous group differences using mixture-of-experts: Application to a study of aging H Eavani, MK Hsieh, Y An, G Erus, L Beason-Held, S Resnick, ... Neuroimage 125, 498-514, 2016 | 29 | 2016 |
| Deep semantic protein representation for annotation, discovery, and engineering AS Schwartz, GJ Hannum, ZR Dwiel, ME Smoot, AR Grant, JM Knight, ... BioRxiv, 365965, 2018 | 23 | 2018 |
| White matter atlas generation using HARDI based automated parcellation L Bloy, M Ingalhalikar, H Eavani, RT Schultz, TPL Roberts, R Verma NeuroImage 59 (4), 4055-4063, 2012 | 21 | 2012 |
| HARDI based pattern classifiers for the identification of white matter pathologies L Bloy, M Ingalhalikar, H Eavani, TPL Roberts, RT Schultz, R Verma Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 19 | 2011 |
| Discriminative sparse connectivity patterns for classification of fMRI data H Eavani, TD Satterthwaite, RE Gur, RC Gur, C Davatzikos Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 15 | 2014 |
| Machine learning as a means toward precision diagnostics and prognostics A Sotiras, B Gaonkar, H Eavani, N Honnorat, E Varol, A Dong, ... Machine learning and medical imaging, 299-334, 2016 | 10 | 2016 |
| Identifying patterns in temporal variation of functional connectivity using resting state fMRI H Eavani, T Satterthwaite, R Gur, R Gur, C Davatzikos Biomedical Imaging: From Nano to Macro, 2013 IEEE International Symposium on, 2013 | 9 | 2013 |
| A graph-based brain parcellation method extracting sparse networks N Honnorat, H Eavani, TD Satterthwaite, C Davatzikos 2013 International Workshop on Pattern Recognition in Neuroimaging, 157-160, 2013 | 2 | 2013 |
| Fiber tracking of the Arcuate Fasciculus in Autism using High Angular Resolution Diffusion Imaging H Eavani, L Bloy, J Herrington, TPL Roberts, RT Schultz, R Verma Proceedings of the 19th International Society for Magnetic Resonance In …, 2011 | 1 | 2011 |
| [O5–05–03]: MAPPING THE HETEROGENEITY OF NEUROANATOMY AND FUNCTIONAL CONNECTIVITY DEVIATION FROM TYPICAL BRAIN AGING: A PATTERN ANALYSIS AND MACHINE LEARNING STUDY H Eavani, M Habes, Y An, MK Hsieh, N Honnorat, G Erus, J Doshi, ... Alzheimer's & Dementia 13 (7S_Part_30), P1464-P1464, 2017 | | 2017 |
| Computational methods for analysis of resting state functional connectivity and their application to study of aging H Eavani University of Pennsylvania, 2016 | | 2016 |
| Poster 12A Discrete functional parcellation of the cortex with clustering methods and MRF N Honnorat, H Eavani, TD Satterthwaite, RE Gur, RC Gur, C Davatzikos | | |
| Discovering heterogeneous patterns of advanced brain aging: a BLSA study H Eavani, N Honnorat, Y An, MK Hsieh, G Erus, J Doshi, L Ferrucci, ... | | |
| Poster 1641 Subject-specific Parcellations Detect Reduced Local Functional Coherence during Neuro Development N Honnorat, H Eavani, TD Satterthwaite, RE Gur, RC Gur, C Davatzikos | | |
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIAdresse e-mail validée de pennmedicine.upenn.edu
