의료진 1 페이지 | 서울대학교병원 핵의학과

Total 36건 1 페이지

의료진 목록
번호	제목	글쓴이	조회	날짜
36	Nonnegative tensor factorization for spectral MEG working mem- ory vs. non-memory process	NMSNUH	67	02-22
35	Connectivities between spectral and spatial co-clusters of MEG signal using nonnegative matrix tri-factorization	NMSNUH	80	02-22
34	Brain network from sparse and topological point of view	NMSNUH	71	02-22
33	Persistent network homology from the perspective of dendrograms	NMSNUH	53	02-22
32	Agreement between the white matter connectivity via tensor-based morphometry and the volumetric white matter parcellations	NMSNUH	54	02-22
31	Edge selection method preserving the topological features of brain network	NMSNUH	62	02-22
30	Hyekyoung Lee, Hyejin Kang, Moo K. Chung, Eunkyung Kim, Bung-Nyun Kim, Dong Soo Lee	NMSNUH	112	02-22
29	Aberrant mod- ule detection in metabolic network of Alzheimer’s disease using higher order Laplacian	NMSNUH	53	02-22
28	Joint diagonaliza- tion of 1-Laplacians for group-wise Brain Network Topology Extraction	NMSNUH	56	02-22
27	Shape variability in the dy- namics of resting-state functional network and relationship with age	NMSNUH	48	02-22
26	PCA-based linear dynamical systems for multi- channel EEG classification	NMSNUH	51	02-22
25	PCA+HMM+SVM for EEG pattern classifica- tion	NMSNUH	79	02-22
24	ICA+OPCA for artifact-robust classification of EEG data	NMSNUH	66	02-22
23	CUR+NMF for learning spectral features from large data matrix	NMSNUH	43	02-22
22	Group nonnegative matrix factorization for EEG classification	NMSNUH	46	02-22
21	Sparse brain network using penalized linaer regression	NMSNUH	66	02-22
20	Sparse brain network using penalized linaer regression	NMSNUH	52	02-22
19	Discriminative persistent homology of brain networks	NMSNUH	48	02-22
18	Topological data recovery under cocmpressed sensing	NMSNUH	33	02-22
17	Computing the shape of brain network using graph filtration and Gromov- Haudorff metric	NMSNUH	31	02-22

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