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Feng Lin 0008

Feng V. Lin – Feng Vankee Lin

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affiliation: University of Rochester Medical Center, School of Nursing / School of Medicine and Dentistry / Department of Brain and Cognitive Sciences, USA

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Journal Articles

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2022
[j3]
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  - journals/neuroimage/ChenTCZL22
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  - https://dblp.org/rec/journals/neuroimage/ChenTCZL22
Quanjing Chen, Adam Turnbull, Martin Cole, Zhengwu Zhang, Feng V. Lin:
Enhancing cortical network-level participation coefficient as a potential mechanism for transfer in cognitive training in aMCI. NeuroImage 254: 119124 (2022)
2021
[j2]
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  - journals/neuroimage/WangLCZ21
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  - https://dblp.org/rec/journals/neuroimage/WangLCZ21
Lu Wang, Feng Vankee Lin, Martin Cole, Zhengwu Zhang:
Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition. NeuroImage 225: 117493 (2021)
2020
[j1]
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  - journals/neuroimage/LinTCAZTH20
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Feng V. Lin, Ye Tao, Quanjing Chen, Mia Anthony, Zhengwu Zhang, Duje Tadin, Kathi L. Heffner:
Processing speed and attention training modifies autonomic flexibility: A mechanistic intervention study. NeuroImage 213: 116730 (2020)

Conference and Workshop Papers

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2017
[c2]
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  - conf/prni/WangJLR17
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Xixi Wang, Carol A. Jew, Feng Lin, Rajeev D. S. Raizada:
Manifolds of tool-graspability in the human brain. PRNI 2017: 1-4
2014
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  - conf/sbp/ChenCTL14
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  - https://dblp.org/rec/conf/sbp/ChenCTL14
Ding-Geng Din Chen, Xinguang Jim Chen, Wan Tang, Feng Lin:
Sample Size Determination to Detect Cusp Catastrophe in Stochastic Cusp Catastrophe Model: A Monte-Carlo Simulation-Based Approach. SBP 2014: 35-41

Informal and Other Publications

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2023
[i1]
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  - journals/corr/abs-2304-12470
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Yanchen Wang, Yunlong Xu, Feng Vankee Lin, Ehsan Adeli:
Recurrent Transformer Encoders for Vision-based Estimation of Fatigue and Engagement in Cognitive Training Sessions. CoRR abs/2304.12470 (2023)

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