Toshiaki Akashi
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Explore the profile of Toshiaki Akashi including associated specialties, affiliations and a list of published articles.
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50
Citations
323
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Recent Articles
1.
Nakaya M, Kamagata K, Takabayashi K, Andica C, Uchida W, Hagiwara A, et al.
J Cereb Blood Flow Metab
. 2025 Mar;
:271678X251321305.
PMID: 40079562
The Alzheimer's disease (AD) continuum is characterized by amyloid and tau protein deposition, which is partly attributable to the dysfunction of the brain clearance system. However, the specific phase in...
2.
Wada A, Akashi T, Shih G, Hagiwara A, Nishizawa M, Hayakawa Y, et al.
Diagnostics (Basel)
. 2024 Jul;
14(14).
PMID: 39061677
Background And Objectives: Integrating large language models (LLMs) such as GPT-4 Turbo into diagnostic imaging faces a significant challenge, with current misdiagnosis rates ranging from 30-50%. This study evaluates how...
3.
Murashima R, Shiota S, Sugiyama A, Katsu K, Kuroda Y, Sato Y, et al.
J Clin Sleep Med
. 2024 Jun;
20(10):1705-1710.
PMID: 38916285
Citation: Murashima R, Shiota S, Sugiyama A, et al. A case of middle-aged central sleep apnea due to Joubert syndrome with different treatment effects of oxygen and acetazolamide. . 2024;20(10):1705-1710.
4.
Wada A, Akatsu T, Ikenouchi Y, Suzuki M, Akashi T, Hagiwara A, et al.
Cureus
. 2024 Jun;
16(5):e60803.
PMID: 38910733
Objective and background This study aimed to develop a deep convolutional neural network (DCNN) model capable of generating synthetic 4D magnetic resonance angiography (MRA) from 3D time-of-flight (TOF) images, allowing...
5.
Saito Y, Kamagata K, Akashi T, Wada A, Shimoji K, Hori M, et al.
Juntendo Iji Zasshi
. 2024 Jun;
69(4):319-326.
PMID: 38846633
Brain-computer interfaces (BCI) enable direct communication between the brain and a computer or other external devices. They can extend a person's degree of freedom by either strengthening or substituting the...
6.
Tuerxun R, Kamagata K, Saito Y, Andica C, Takabayashi K, Uchida W, et al.
Front Aging Neurosci
. 2024 Mar;
16:1362457.
PMID: 38515515
Background And Purpose: Glymphatic system in type 2 diabetes mellitus (T2DM) but not in the prodrome, prediabetes (Pre-DM) was investigated using diffusion tensor image analysis along the perivascular space (DTI-ALPS)....
7.
Hagiwara A, Tomizawa Y, Hoshino Y, Yokoyama K, Kamagata K, Sekine T, et al.
AJNR Am J Neuroradiol
. 2023 Dec;
45(1):66-71.
PMID: 38123957
Background And Purpose: Impaired glymphatic function has been suggested to be implicated in the pathophysiology of MS and aquaporin-4 immunoglobulin G-positive neuromyelitis optica spectrum disorder. This study aimed to investigate...
8.
Saito Y, Kamagata K, Andica C, Maikusa N, Uchida W, Takabayashi K, et al.
Aging Dis
. 2023 Nov;
15(6):2770-2785.
PMID: 38029401
Diffusion-weighted magnetic resonance imaging (dMRI) of brain has helped elucidate the microstructural changes of psychiatric and neurodegenerative disorders. Inconsistency between MRI models has hampered clinical application of dMRI-based metrics. Using...
9.
Wada A, Akashi T, Hagiwara A, Nishizawa M, Shimoji K, Kikuta J, et al.
J Magn Reson Imaging
. 2023 Oct;
60(2):510-522.
PMID: 37877463
Background: "Batch effect" in MR images, due to vendor-specific features, MR machine generations, and imaging parameters, challenges image quality and hinders deep learning (DL) model generalizability. Purpose: We aim to...
10.
Kamagata K, Andica C, Uchida W, Takabayashi K, Saito Y, Lukies M, et al.
Invest Radiol
. 2023 Sep;
59(1):13-25.
PMID: 37707839
Diffusion magnetic resonance imaging tractography is a noninvasive technique that enables the visualization and quantification of white matter tracts within the brain. It is extensively used in preoperative planning for...