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Artificial shifting of fMRI activation localized by volume- and surface-based analyses.

H. Jo, J. Lee, J. Kim, C. Choi, B. Gu, D. Kang, J. Ku, J. Kwon, und S. Kim. NeuroImage, 40 (3): 1077-1089 (2008)

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Ali Hangi University of Stuttgart

Basil Jose University of Stuttgart

QoI - Tracer particles : Database of dense clusters of tracer particles (quantity of interest) for generating synthetic training dataB. Jose, K. Geigle, und F. Hampp. Dataset, (2025)

QoI - Tracer particles : Database of dense clusters of tracer particles (quantity of interest) for generating synthetic training dataB. Jose, K. Geigle, und F. Hampp. Dataset, (2025)Code for training and using the soot (instance) segmentation models : Instance segmentation model to extract soot filaments from PIV measurements in RQL-type combustorB. Jose, K. Geigle, und F. Hampp. Software, (2025)Background - Tracer particle regions : Database of tracer particle image snippets (background) for generating synthetic training dataB. Jose, K. Geigle, und F. Hampp. Dataset, (2025)

Matthew Joliffe University of Stuttgart

Jithin Jose University of Stuttgart

Dr. Tanja Jovanovic University of Stuttgart

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Correcting Brain-Wide Correlation Differences in Resting-State FMRI.Z. Saad, R. Reynolds, H. Jo, S. Gotts, G. Chen, A. Martin, und R. Cox. Brain Connectivity, 3 (4): 339-352 (2013)Trouble at Rest: How Correlation Patterns and Group Differences Become Distorted After Global Signal Regression.Z. Saad, S. Gotts, K. Murphy, G. Chen, H. Jo, A. Martin, und R. Cox. Brain Connectivity, 2 (1): 25-32 (2012)Spatial accuracy of fMRI activation influenced by volume- and surface-based spatial smoothing techniques.H. Jo, J. Lee, J. Kim, Y. Shin, I. Kim, J. Kwon, und S. Kim. NeuroImage, 34 (2): 550-564 (2007)Regional thinning of cerebral cortical thickness in first-episode and chronic schizophrenia.J. Kim, C. Chung, H. Jo, J. Lee, und J. Kwon. Int. J. Imaging Systems and Technology, 22 (1): 73-80 (2012)Correction of metal-induced susceptibility artifacts for functional MRI during deep brain stimulation.M. In, S. Cho, Y. Shu, H. Min, M. Bernstein, O. Speck, K. Lee, und H. Jo. NeuroImage, (2017)Mapping sources of correlation in resting state FMRI, with artifact detection and removal.H. Jo, Z. Saad, W. Simmons, L. Milbury, und R. Cox. NeuroImage, 52 (2): 571-582 (2010)Applied Mathematics in Biomedical Sciences and Engineering 2014.C. Im, K. Kwon, H. Jo, und P. Serranho. J. Applied Mathematics, (2014)Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine.M. Qureshi, J. Oh, D. Cho, H. Jo, und B. Lee. Front. Neuroinform., (2017)Artificial shifting of fMRI activation localized by volume- and surface-based analyses.H. Jo, J. Lee, J. Kim, C. Choi, B. Gu, D. Kang, J. Ku, J. Kwon, und S. Kim. NeuroImage, 40 (3): 1077-1089 (2008)Defining functional SMA and pre-SMA subregions in human MFC using resting state fMRI: Functional connectivity-based parcellation method.J. Kim, J. Lee, H. Jo, S. Kim, J. Lee, S. Kim, S. Seo, R. Cox, D. Na, S. Kim und 1 andere Autor(en). NeuroImage, 49 (3): 2375-2386 (2010)