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Yong Min Huh

Researcher at Yonsei University

Publications -  289
Citations -  13694

Yong Min Huh is an academic researcher from Yonsei University. The author has contributed to research in topics: Cancer & Magnetic nanoparticles. The author has an hindex of 46, co-authored 278 publications receiving 12151 citations. Previous affiliations of Yong Min Huh include University Health System & Korea Research Institute of Bioscience and Biotechnology.

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Artificially engineered magnetic nanoparticles for ultra-sensitive molecular imaging.

TL;DR: These magnetism-engineered iron oxide (MEIO) nanoprobes, when conjugated with antibodies, showed enhanced magnetic resonance imaging (MRI) sensitivity for the detection of cancer markers compared with probes currently available and could enhance the ability to visualize other biological events critical to diagnostics and therapeutics.
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Nanoscale Size Effect of Magnetic Nanocrystals and Their Utilization for Cancer Diagnosis via Magnetic Resonance Imaging

TL;DR: The development of a synthetically controlled magnetic nanocrystal model system that correlates the nanoscale tunabilities in terms of size, magnetism, and induced nuclear spin relaxation processes led to the development of high-performance Nanocrystal-antibody probe systems for the diagnosis of breast cancer cells via magnetic resonance imaging.
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Nanomaterials for theranostics: recent advances and future challenges.

TL;DR: Challenges Eun-Kyung Lim,†,‡,§ Taekhoon Kim, Soonmyung Paik, Seungjoo Haam, Yong-Min Huh,*,† and Kwangyeol Lee
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In vivo magnetic resonance detection of cancer by using multifunctional magnetic nanocrystals.

TL;DR: This study finds that high performance in vivo MR diagnosis of cancer is achievable by utilizing improved and multifunctional material properties of iron oxide nanocrystal probes.
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Overcoming artifacts from metallic orthopedic implants at high-field-strength MR imaging and multi-detector CT.

TL;DR: A comparison of images obtained with different hardware and different acquisition and reconstruction parameters facilitates an understanding of methods for reducing or overcoming artifacts related to metallic implants.