Search Results - "Yoo, Sole"

Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes by Kim, Jun Pyo, Kim, Jeonghun, Kim, Yeshin, Moon, Seung Hwan, Park, Yu Hyun, Yoo, Sole, Jang, Hyemin, Kim, Hee Jin, Na, Duk L., Seo, Sang Won, Seong, Joon-Kyung

“…Purpose We developed a machine learning–based classifier for in vivo amyloid positron emission tomography (PET) staging, quantified cortical uptake of the PET…”
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Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease by Kim, Jun Pyo, Kim, Jeonghun, Park, Yu Hyun, Park, Seong Beom, Lee, Jin San, Yoo, Sole, Kim, Eun-Joo, Kim, Hee Jin, Na, Duk L, Brown, Jesse A, Lockhart, Samuel N, Seo, Sang Won, Seong, Joon-Kyung

“…In a clinical setting, an individual subject classification model rather than a group analysis would be more informative. Specifically, the subtlety of…”
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Neural correlates of anxiety under interrogation in guilt or innocence contexts by Yoo, Sole, Choi, Hanseul H, Choi, Hae-Yoon, Yun, Sungjae, Park, Haeil, Bahng, Hyunseok, Hong, Hyunki, Kim, Heesong, Park, Hae-Jeong

“…Interrogation elicits anxiety in individuals under scrutiny regardless of their innocence, and thus, anxious responses to interrogation should be…”
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Correction to: Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes by Kim, Jun Pyo, Kim, Jeonghun, Kim, Yeshin, Moon, Seung Hwan, Park, Yu Hyun, Yoo, Sole, Jang, Hyemin, Kim, Hee Jin, Na, Duk L., Seo, Sang Won, Seong, Joon-Kyung

“…Incorrect acknowledgments…”
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Correction to: Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes by Kim, Jun Pyo, Kim, Jeonghun, Kim, Yeshin, Moon, Seung Hwan, Park, Yu Hyun, Yoo, Sole, Jang, Hyemin, Kim, Hee Jin, Na, Duk L., Seo, Sang Won, Seong, Joon-Kyung

“…The Table 2 in the original version of this article contained a mistake in the alignment. Correct Table 2 presentation is presented here…”
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Differences in neuroimaging features of early- versus late-onset nonfluent/agrammatic primary progressive aphasia by San Lee, Jin, Yoo, Sole, Park, Seongbeom, Kim, Hee Jin, Park, Key-Chung, Seong, Joon-Kyung, Suh, Mee Kyung, Lee, Juyoun, Jang, Hyemin, Kim, Ko Woon, Kim, Yeshin, Cho, Soo Hyun, Kim, Seung Joo, Kim, Jun Pyo, Jung, Young Hee, Kim, Eun-Joo, Suh, Yeon-Lim, Lockhart, Samuel N., Seeley, William W., Na, Duk L., Seo, Sang Won

“…This study investigated distinct neuroimaging features measured by cortical thickness and subcortical structural shape abnormality in early-onset (EO, onset…”
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P4‐096: REPLICATING VISUAL ASSESSMENTS OF 18F‐FLORBETABEN PET USING MACHINE LEARNING TECHNIQUE by Kim, Jun Pyo, Kim, Jeonghun, Kim, Yeshin, Moon, Seung Hwan, Park, Yuhyun, Yoo, Sole, Kim, Hee Jin, Na, Duk L., Seo, Sang Won, Seong, Joon-Kyung

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IC‐P‐014: REPLICATING VISUAL ASSESSMENTS OF 18F‐FLORBETABEN PET USING MACHINE LEARNING TECHNIQUE by Kim, Jun Pyo, Kim, Jeonghun, Kim, Yeshin, Moon, Seung Hwan, Park, Yuhyun, Yoo, Sole, Kim, Hee Jin, Na, Duk L., Seo, Sang Won, Seong, Joon-Kyung

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P3‐339: MACHINE LEARNING–BASED CLASSIFICATION OF ALZHEIMER'S DISEASE AND FRONTOTEMPORAL DEMENTIA CLINICAL SYNDROMES by Kim, Jun Pyo, Kim, Jeonghun, Park, Yuhyun, San Lee, Jin, Yoo, Sole, Kim, Eun-Joo, Kim, Hee Jin, Na, Duk L., Seo, Sang Won, Seong, Joon-Kyung

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REPLICATING VISUAL ASSESSMENTS OF 18F-FLORBETABEN PET USING MACHINE LEARNING TECHNIQUE by Kim, Jun Pyo, Kim, Jeonghun, Kim, Yeshin, Moon, Seung Hwan, Park, Yuhyun, Yoo, Sole, Kim, Hee Jin, Na, Duk L., Seo, Sang Won, Seong, Joon-Kyung

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IC‐P‐079: MACHINE LEARNING–BASED CLASSIFICATION OF ALZHEIMER'S DISEASE AND FRONTOTEMPORAL DEMENTIA CLINICAL SYNDROMES by Kim, Jun Pyo, Kim, Jeonghun, Park, Yuhyun, San Lee, Jin, Yoo, Sole, Kim, Eun-Joo, Kim, Hee Jin, Na, Duk L., Seo, Sang Won, Seong, Joon-Kyung

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P4‐096: REPLICATING VISUAL ASSESSMENTS OF 18 F‐FLORBETABEN PET USING MACHINE LEARNING TECHNIQUE by Kim, Jun Pyo, Kim, Jeonghun, Kim, Yeshin, Moon, Seung Hwan, Park, Yuhyun, Yoo, Sole, Kim, Hee Jin, Seo, Sang Won, Seong, Joon-Kyung

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MACHINE LEARNING–BASED CLASSIFICATION OF ALZHEIMER’S DISEASE AND FRONTOTEMPORAL DEMENTIA CLINICAL SYNDROMES by Kim, Jun Pyo, Kim, Jeonghun, Park, Yuhyun, San Lee, Jin, Yoo, Sole, Kim, Eun-Joo, Kim, Hee Jin, Na, Duk L., Seo, Sang Won, Seong, Joon-Kyung

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MACHINE LEARNING–BASED CLASSIFICATION OF ALZHEIMER’S DISEASE AND FRONTOTEMPORAL DEMENTIA CLINICAL SYNDROMES by Kim, Jun Pyo, Kim, Jeonghun, Park, Yuhyun, San Lee, Jin, Yoo, Sole, Kim, Eun-Joo, Kim, Hee Jin, Na, Duk L., Seo, Sang Won, Seong, Joon-Kyung

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IC‐P‐014: REPLICATING VISUAL ASSESSMENTS OF 18 F‐FLORBETABEN PET USING MACHINE LEARNING TECHNIQUE by Kim, Jun Pyo, Kim, Jeonghun, Kim, Yeshin, Moon, Seung Hwan, Park, Yuhyun, Yoo, Sole, Kim, Hee Jin, Seo, Sang Won, Seong, Joon-Kyung

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Optimization and classification of developmental brain diseases using machine learning of functional brain networks by Bahng, Hyunseok, Yoo, Sole, Choi, Hae-Yoon, Pae, Chongwon, Park, Hae-Jeong

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