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Yohan Jun

Showing results (21-30 of 28) with videos related to

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Arxiv|September 18, 2025
Explainable AI for Accelerated Microstructure Imaging: A SHAP-Guided Protocol on the Connectome 2.0 scannerQuentin Uhl, Tommaso Pavan, Julianna Gerold, et al.
Developmental Cognitive Neuroscience|February 15, 2026
Corrigendum to "Deep learning in fetal, infant, and toddler neuroimaging research"[Dev. Cognit. Neurosci. (2026), 101680]Jenna H Chin, Madeleine K Wyburd, Vladislav Ayzenberg, et al.
Developmental Cognitive Neuroscience|January 28, 2026
Deep learning in fetal, infant, and toddler neuroimaging researchJenna H Chin, Madeleine K Wyburd, Vladislav Ayzenberg, et al.
European Radiology|May 7, 2023
Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRIHyungseob Shin, Ji Eun Park, Yohan Jun, et al.
Medical Image Analysis|April 7, 2026
PRIME: Phase reversed interleaved multi-Echo acquisition enables highly accelerated distortion-corrected diffusion MRIYohan Jun, Qiang Liu, Ting Gong, et al.
Magnetic Resonance in Medicine|May 27, 2025
Vendor-agnostic 3D multiparametric relaxometry improves cross-platform reproducibilityShohei Fujita, Borjan Gagoski, Jon-Fredrik Nielsen, et al.
IEEE Transactions on Medical Imaging|April 30, 2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image ReconstructionMatthew J Muckley, Bruno Riemenschneider, Alireza Radmanesh, et al.
Nature Communications|October 3, 2022
Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfacesTaemin Kim, Yejee Shin, Kyowon Kang, et al.
Pageof 3

Showing results (21-30 of 28) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 28 results.
Arxiv|September 18, 2025
Explainable AI for Accelerated Microstructure Imaging: A SHAP-Guided Protocol on the Connectome 2.0 scannerQuentin Uhl, Tommaso Pavan, Julianna Gerold, et al.
Developmental Cognitive Neuroscience|February 15, 2026
Corrigendum to "Deep learning in fetal, infant, and toddler neuroimaging research"[Dev. Cognit. Neurosci. (2026), 101680]Jenna H Chin, Madeleine K Wyburd, Vladislav Ayzenberg, et al.
Developmental Cognitive Neuroscience|January 28, 2026
Deep learning in fetal, infant, and toddler neuroimaging researchJenna H Chin, Madeleine K Wyburd, Vladislav Ayzenberg, et al.
European Radiology|May 7, 2023
Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRIHyungseob Shin, Ji Eun Park, Yohan Jun, et al.
Medical Image Analysis|April 7, 2026
PRIME: Phase reversed interleaved multi-Echo acquisition enables highly accelerated distortion-corrected diffusion MRIYohan Jun, Qiang Liu, Ting Gong, et al.
Magnetic Resonance in Medicine|May 27, 2025
Vendor-agnostic 3D multiparametric relaxometry improves cross-platform reproducibilityShohei Fujita, Borjan Gagoski, Jon-Fredrik Nielsen, et al.
IEEE Transactions on Medical Imaging|April 30, 2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image ReconstructionMatthew J Muckley, Bruno Riemenschneider, Alireza Radmanesh, et al.
Nature Communications|October 3, 2022
Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfacesTaemin Kim, Yejee Shin, Kyowon Kang, et al.
Pageof 3