Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes von 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

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Neural correlates of anxiety under interrogation in guilt or innocence contexts von Yoo, Sole, Choi, Hanseul H., Choi, Hae-Yoon, Yun, Sungjae, Park, Haeil, Bahng, Hyunseok, Hong, Hyunki, Kim, Heesong, Park, Hae-Jeong

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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 outcom... von 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

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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 outcom... von 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

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Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes (vol 32, pg... von 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

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Differences in neuroimaging features of early- versus late-onset nonfluent/agrammatic primary progressive aphasia von 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

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IC‐P‐014: REPLICATING VISUAL ASSESSMENTS OF 18F‐FLORBETABEN PET USING MACHINE LEARNING TECHNIQUE von 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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P4‐096: REPLICATING VISUAL ASSESSMENTS OF 18F‐FLORBETABEN PET USING MACHINE LEARNING TECHNIQUE von 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 von 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 von 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 von 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 von 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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REPLICATING VISUAL ASSESSMENTS OF 18F-FLORBETABEN PET USING MACHINE LEARNING TECHNIQUE von 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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Optimization and classification of developmental brain diseases using machine learning of functional brain networks von Bahng, Hyunseok, Yoo, Sole, Choi, Hae-Yoon, Pae, Chongwon, Park, Hae-Jeong

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Primary and secondary glomerulonephritis I von Miyazaki, N., Matsumoto, J., Alberici, F., Palmisano, A., Maritati, F., Oliva, E., Buzio, C., Vaglio, A., Mjoen, G., Norby, G. E., Vikse, B. E., Svarstad, E., Rune, B., Knut, A., Szymczak, M., Kuzniar, J., Kopec, W., Marchewka, Z., Klinger, M., Arrizabalaga, P., Silvarino, R., Sant, F., Espinosa, G., Sole, M., Cervera, R., Gude, D., Chennamsetty, S., Demin, A., Kozlov, V., Lisukov, I., Kotova, O., Sizikov, A., Sergeevicheva, V., Demina, L., Borjesson, O., Wendt, M., Avik, A., Qureshi, A. R., Bratt, J., Miller, E. J., Gunnarsson, I., Bruchfeld, A., Sugiyama, K., Hasegawa, M., Yamamoto, K., Hayashi, H., Koide, S., Murakami, K., Tomita, M., Yoshida, S., Yuzawa, Y., Yew, S., Jayne, D., Westman, K., Hoglund, P., Flossman, O., Mahr, A., Luqmani, R., Robson, J., Thervet, E., Levi, C., Guiard, E., Roland, M., Nochy, D., Daniliuc, C., Guillevin, L., Mouthon, L., Jacquot, C., Karras, A., Kimura, Y., Morita, H., Debiec, H., Yamada, H., Miura, N., Banno, S., Ronco, P., Imai, H., Shin, D. H., Famee, D., Koo, H. M., Han, S. H., Choi, K. H., Yoo, T.-H., Kang, S.-W., Fofi, C., Scabbia, L., Festuccia, F., Stoppacciaro, A., Mene', P., Shimizu, A., Fukui, M., MII, A., Kaneko, T., Masuda, Y., Iino, Y., Katayama, Y., Fukuda, Y., Kuroki, A., Matsumoto, K., Akizawa, T.

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EPB tunnelling in mixed geological formations: a case study von Mariano, Alessandra di, Gens Solé, Antonio

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