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Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction.

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Title: Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction.
Authors: Schauman SS; Department of Radiology, Stanford University, Stanford, CA, USA. sophie.schauman.academic@gmail.com.; Department of Clinical Neuroscience, Karolinska Institute, Stockholm, 17177, Sweden. sophie.schauman.academic@gmail.com., Iyer SS; Department of Radiology, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Sandino CM; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Yurt M; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Cao X; Department of Radiology, Stanford University, Stanford, CA, USA., Liao C; Department of Radiology, Stanford University, Stanford, CA, USA., Ruengchaijatuporn N; Center of Excellence in Computational Molecular Biology, Chulalongkorn University, Bangkok, Thailand.; Center for Artificial Intelligence in Medicine, Chulalongkorn University, Bangkok, Thailand., Chatnuntawech I; National Nanotechnology Center, National Science and Technology Development Agency, Pathum Thani, Thailand., Tong E; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Setsompop K; Department of Radiology, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
Source: Magma (New York, N.Y.) [MAGMA] 2025 Apr; Vol. 38 (2), pp. 221-237. Date of Electronic Publication: 2025 Feb 01.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 9310752 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1352-8661 (Electronic) Linking ISSN: 09685243 NLM ISO Abbreviation: MAGMA Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Schauman+SS%22">Schauman SS</searchLink>; Department of Radiology, Stanford University, Stanford, CA, USA. sophie.schauman.academic@gmail.com.; Department of Clinical Neuroscience, Karolinska Institute, Stockholm, 17177, Sweden. sophie.schauman.academic@gmail.com.<br /><searchLink fieldCode="AU" term="%22Iyer+SS%22">Iyer SS</searchLink>; Department of Radiology, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Sandino+CM%22">Sandino CM</searchLink>; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Yurt+M%22">Yurt M</searchLink>; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Cao+X%22">Cao X</searchLink>; Department of Radiology, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Liao+C%22">Liao C</searchLink>; Department of Radiology, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Ruengchaijatuporn+N%22">Ruengchaijatuporn N</searchLink>; Center of Excellence in Computational Molecular Biology, Chulalongkorn University, Bangkok, Thailand.; Center for Artificial Intelligence in Medicine, Chulalongkorn University, Bangkok, Thailand.<br /><searchLink fieldCode="AU" term="%22Chatnuntawech+I%22">Chatnuntawech I</searchLink>; National Nanotechnology Center, National Science and Technology Development Agency, Pathum Thani, Thailand.<br /><searchLink fieldCode="AU" term="%22Tong+E%22">Tong E</searchLink>; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Setsompop+K%22">Setsompop K</searchLink>; Department of Radiology, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
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  Data: <searchLink fieldCode="JN" term="%229310752%22">Magma (New York, N.Y.)</searchLink> [MAGMA] 2025 Apr; Vol. 38 (2), pp. 221-237. <i>Date of Electronic Publication: </i>2025 Feb 01.
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        Value: 10.1007/s10334-024-01222-2
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        Text: English
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              Text: 2025 Apr
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