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"bruffaerts r"的相關文件
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| 國家衛生研究院 |
2023-09-14 |
Patterns, predictors, and patient-reported reasons for antidepressant discontinuation in the WHO World Mental Health Surveys
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Kazdin, AE; Harris, MG; Hwang, I; Sampson, NA; Stein, DJ; Viana, MC; Vigo, DV; Wu, CS; Aguilar-Gaxiola, S; Alonso, J; Benjet, C; Bruffaerts, R; Caldas-Almeida, JM; Cardoso, G; Caselani, E; Chardoul, S; Cía, A; De Jonge, P; Gureje, O; Haro, JM; Karam, EG; Kovess-Masfety, V; Navarro-Mateu, F; Piazza, M; Posada-Villa, J; Scott, KM; Stagnaro, JC; Ten Have, M; Torres, Y; Vladescu, C; Kessler, RC; on behalf of the WHO World Mental Health Survey collaborators |
| 國立成功大學 |
2022 |
A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET
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Etminani, K.;Soliman, A.;Davidsson, A.;Chang, J.R.;Mart�nez-Sanchis, B.;Byttner, S.;Camacho, V.;Bauckneht, M.;Stegeran, R.;Ressner, M.;Agudelo-Cifuentes, M.;Chincarini, A.;Brendel, M.;Rominger, A.;Bruffaerts, R.;Vandenberghe, R.;Kramberger, M.G.;Trost, M.;Nicastro, Nicastro N.;Frisoni, G.B.;Lemstra, A.W.;van, Berckel B.N.M.;Pilotto, A.;Padovani, A.;Morbelli, S.;Aarsland, D.;Nobili, F.;Garibotto, V.;Ochoa-Figueroa, M. |
| 國立成功大學 |
2022 |
Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model
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Soliman, A.;Chang, J.R.;Etminani, K.;Byttner, S.;Davidsson, A.;Mart�nez-Sanchis, B.;Camacho, V.;Bauckneht, M.;Stegeran, R.;Ressner, M.;Agudelo-Cifuentes, M.;Chincarini, A.;Brendel, M.;Rominger, A.;Bruffaerts, R.;Vandenberghe, R.;Kramberger, M.G.;Trost, M.;Nicastro, Nicastro N.;Frisoni, G.B.;Lemstra, A.W.;Berckel, Berckel B.N.M.;Pilotto, A.;Padovani, A.;Morbelli, S.;Aarsland, D.;Nobili, F.;Garibotto, V.;Ochoa-Figueroa, M.;Alzheimer&apos, the;Initiative, s Disease Neuroimaging |
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