Shouhei Hanaoka
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Explore the profile of Shouhei Hanaoka including associated specialties, affiliations and a list of published articles.
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63
Citations
319
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Recent Articles
1.
Nakamura Y, Sonoda Y, Yamagishi Y, Kikuchi T, Nakao T, Miki S, et al.
Asian Bioeth Rev
. 2025 Feb;
17(1):9-15.
PMID: 39896085
No abstract available.
2.
Yamagishi Y, Nakamura Y, Hanaoka S, Abe O
JMIR Cancer
. 2025 Jan;
11:e57275.
PMID: 39864093
Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form...
3.
Letchumanan N, Hanaoka S, Takenaga T, Suzuki Y, Nakao T, Nomura Y, et al.
J Med Imaging (Bellingham)
. 2025 Jan;
12(1):014501.
PMID: 39776665
Purpose: The prevalence of type 2 diabetes mellitus (T2DM) has been steadily increasing over the years. We aim to predict the occurrence of T2DM using mammography images within 5 years...
4.
Hanaoka S, Nomura Y, Hayashi N, Sato I, Miki S, Yoshikawa T, et al.
PLoS One
. 2024 Dec;
19(12):e0315646.
PMID: 39666722
A general-purpose method of emphasizing abnormal lesions in chest radiographs, named EGGPALE (Extrapolative, Generative and General-Purpose Abnormal Lesion Emphasizer), is presented. The proposed EGGPALE method is composed of a flow-based...
5.
Shiomi S, Gonoi W, Sugawara K, Taguchi S, Hanaoka S, Kurokawa M, et al.
J Gastrointest Surg
. 2024 Dec;
29(2):101919.
PMID: 39622363
Background: High visceral fat area (VFA), estimated by computed tomography (CT), is reportedly associated with surgical site infection (SSI) in patients who undergo gastrectomy for gastric cancer (GC). Given that...
6.
Yamada A, Hanaoka S, Takenaga T, Miki S, Yoshikawa T, Nomura Y
Radiol Phys Technol
. 2024 Jul;
17(3):725-738.
PMID: 39048847
In this study, we investigated the application of distributed learning, including federated learning and cyclical weight transfer, in the development of computer-aided detection (CADe) software for (1) cerebral aneurysm detection...
7.
Hanaoka S, Nomura Y, Yoshikawa T, Nakao T, Takenaga T, Matsuzaki H, et al.
Int J Comput Assist Radiol Surg
. 2024 Jul;
19(10):1991-2000.
PMID: 39003437
Purpose: Many large radiographic datasets of lung nodules are available, but the small and hard-to-detect nodules are rarely validated by computed tomography. Such difficult nodules are crucial for training nodule...
8.
Sugawara K, Taguchi S, Gonoi W, Hanaoka S, Shiomi S, Kishitani K, et al.
JPEN J Parenter Enteral Nutr
. 2024 Jul;
48(6):746-755.
PMID: 38953890
Background: This study aimed to evaluate if combining low muscle mass with additional body composition abnormalities, such as myosteatosis or adiposity, could improve survival prediction accuracy in a large cohort...
9.
Hirano Y, Hanaoka S, Nakao T, Miki S, Kikuchi T, Nakamura Y, et al.
Jpn J Radiol
. 2024 Jun;
42(11):1352-1353.
PMID: 38937409
No abstract available.
10.
Walston S, Seki H, Takita H, Mitsuyama Y, Sato S, Hagiwara A, et al.
Jpn J Radiol
. 2024 Jun;
42(10):1100-1109.
PMID: 38856878
Medicine and deep learning-based artificial intelligence (AI) engineering represent two distinct fields each with decades of published history. The current rapid convergence of deep learning and medicine has led to...