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Jin Jin
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Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University

Deep-learning-enabled Brain Hemodynamic Mapping Using Resting-state fMRI


Apr 25, 2022
Xirui Hou, Pengfei Guo, Puyang Wang, Peiying Liu, Doris D. M. Lin, Hongli Fan, Yang Li, Zhiliang Wei, Zixuan Lin, Dengrong Jiang, Jin Jin, Catherine Kelly, Jay J. Pillai, Judy Huang, Marco C. Pinho, Binu P. Thomas, Babu G. Welch, Denise C. Park, Vishal M. Patel, Argye E. Hillis, Hanzhang Lu

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NeXtQSM -- A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data


Jul 16, 2021
Francesco Cognolato, Kieran O'Brien, Jin Jin, Simon Robinson, Frederik B. Laun, Markus Barth, Steffen Bollmann

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Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization


Aug 10, 2020
Fangqiang Ding, Changhong Fu, Yiming Li, Jin Jin, Chen Feng

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* 8pages, 8 figures, accepted by 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS) 
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DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression


Aug 10, 2020
Changhong Fu, Fangqiang Ding, Yiming Li, Jin Jin, Chen Feng

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* 8pages, 7 figures, accepted by 2020 IEEE/RJS International Conference on Intelligent Robots and Systems(IROS) 
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Multi-resolution Super Learner for Voxel-wise Classification of Prostate Cancer Using Multi-parametric MRI


Jul 02, 2020
Jin Jin, Lin Zhang, Ethan Leng, Gregory J. Metzger, Joseph S. Koopmeiners

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* 23 pages, 3 figures, 5 tables 
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