Richard M. Leahy
Affiliations: | University of Southern California, Los Angeles, CA, United States |
Area:
MEG, EEG, PET, Optical Imaging, image AnalysisGoogle:
"Richard Leahy"Bio:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.351713
Mean distance: 14.72 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorCostas E. Goutis | grad student | 1984 | University of Newcastle upon Tyne (E-Tree) | |
(Optimal techniques for tomographic and spectral analysis.) |
Children
Sign in to add traineeJohn C. Mosher | grad student | 1989-1993 | USC |
David W. Shattuck | grad student | 2000 | USC |
John J. Ermer | grad student | 2001 | USC |
Chung-Chieh Huang | grad student | 2001 | USC |
Joaquín Rapela | grad student | 2000-2001 | USC |
Alexei Ossadtchi | grad student | 2003 | USC |
Evren Asma | grad student | 2004 | USC |
Esen Kucukaltun-Yildirim | grad student | 2006 | USC |
Quanzheng Li | grad student | 2006 | USC |
Abhijit J. Chaudhari | grad student | 2007 | USC |
Belma Dogdas | grad student | 2007 | USC |
Sanghee Cho | grad student | 2008 | USC |
Anand A. Joshi | grad student | 2008 | USC |
Sangeetha Somayajula | grad student | 2009 | USC |
Hua B. Hui | grad student | 2010 | USC |
Joyita Dutta | grad student | 2011 | USC |
Juan L. Poletti Soto | grad student | 2011 | USC |
Yu-Teng Chang | grad student | 2012 | USC |
David S. Wheland | grad student | 2013 | USC |
Syed Ashrafulla | grad student | 2014 | USC |
Sergul Aydore | grad student | 2014 | USC |
Yanguang Lin | grad student | 2014 | USC |
Wentao Zhu | grad student | 2014 | USC |
Chitresh Bhushan | grad student | 2016 | USC |
Minqi Chong | grad student | 2018 | USC |
Jian Li | grad student | 2019 | Viterbi school of engineering |
Sylvain Baillet | post-doc | USC | |
Francois J. Tadel | research scientist | 2009-2011 | USC |
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Publications
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Akrami H, Cui W, Kim PE, et al. (2024) Prediction of Post Traumatic Epilepsy Using MR-Based Imaging Markers. Human Brain Mapping. 45: e70075 |
Payette K, Steger C, Licandro R, et al. (2024) Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. Ieee Transactions On Medical Imaging |
Kung HT, Cui SX, Kaplan JT, et al. (2024) Diffusion tensor brain imaging at 0.55T: A feasibility study. Magnetic Resonance in Medicine |
Kobayashi K, Taylor KN, Shahabi H, et al. (2024) Effective connectivity relates seizure outcome to electrode placement in responsive neurostimulation. Brain Communications. 6: fcae035 |
Liu Y, Li J, Wisnowski JL, et al. (2024) Graph Learning for Cortical Parcellation from Tensor Decompositions of Resting-State fMRI. Biorxiv : the Preprint Server For Biology |
Cui W, Akrami H, Zhao G, et al. (2023) Meta Transfer of Self-Supervised Knowledge: Foundation Model in Action for Post-Traumatic Epilepsy Prediction. Arxiv |
Vallarino E, Hincapié AS, Jerbi K, et al. (2023) Tuning Minimum-Norm regularization parameters for optimal MEG connectivity estimation. Neuroimage. 281: 120356 |
Kim Y, Joshi AA, Choi S, et al. (2023) BrainSuite BIDS App: Containerized Workflows for MRI Analysis. Biorxiv : the Preprint Server For Biology |
Medani T, Garcia-Prieto J, Tadel F, et al. (2023) Brainstorm-DUNEuro: An integrated and user-friendly Finite Element Method for modeling electromagnetic brain activity. Neuroimage. 119851 |
Akrami H, Joshi AA, Aydöre S, et al. (2022) Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection. The Journal of Machine Learning For Biomedical Imaging. 1 |