Author

Itthi Chatnuntawech

National Science and Technology Development AgencyORCID 0000-0002-4049-5648Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Natthanan RuengchaijatuporniD· 2 shared Aisawan PetchlorlianiD· 1 shared Chaipat ChunharasiD· 1 shared Christopher M. SandinoiD· 1 shared Congyu LiaoiD· 1 shared Elizabeth TongiD· 1 shared Kawin SetsompopiD· 1 shared Mahmut YurtiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersNeuroscience

Natthanan RuengchaijatupornORCID

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2 papers

Recent·Most cited

Deep Learning Initialized Compressed Sensing (Deli-CS) in Volumetric Spatio-Temporal Subspace Reconstruction

Siddharth Iyer, Sophie Schauman, Christopher M. Sandino, Mahmut Yurt, Xiaozhi Cao, Congyu Liao, Natthanan Ruengchaijatuporn, Itthi Chatnuntawech, Elizabeth Tong, Kawin Setsompop

This paper introduces Deli-CS, a method that accelerates spatio-temporal MRI reconstruction using deep learning-initialized compressed sensing, reducing time and resource usage while maintaining quality.

bioRxiv · Mar 28, 2023 · PreprintNeuroscience

An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-inputbdigital drawing tasks

Natthanan Ruengchaijatuporn, Itthi Chatnuntawech, Surat Teerapittayanon, Sira Sriswasdi, Sirawaj Itthipuripat, Solaphat Hemrungrojn, Prodpran Bunyabukkana, Aisawan Petchlorlian, Sedthapong Chunamchai, Thiparat Chotibut, Chaipat Chunharas

This paper introduces an explainable self-attention deep neural network to detect mild cognitive impairment using multi-input digital drawing tasks, achieving better classification performance than existing models.

Alzheimer s Research & Therapy · Aug 9, 2022Peer-reviewedNeuroscience