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Author

Yuki Shimahara

Observed names: Shimahara, Yuki, Yuki Shimahara and Natsumaro Kutsuna
Observed institutions: Osaka City University, Genoscience Pharma (France), Division of Materials Research, Osaka City University Hospital, Research & Development Corporation, The University of Tokyo
ORCID: 0000-0003-1396-4354
Observed ORCID: 0000-0003-1396-4354
OpenAlex ID: A5073430222
Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms
2018 · Daiju Ueda, Akira Yamamoto, et al. · Radiology · 232
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction
2021 · Changhee Han, Leonardo Rundo, et al. · BMC Bioinformatics · 220
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Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method
2022 · Akitoshi Shimazaki, Daiju Ueda, et al. · Scientific Reports · 169
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Reducing adenoma miss rate of colonoscopy assisted by artificial intelligence: a multicenter randomized controlled trial
2021 · Shunsuke Kamba, Naoto Tamai, et al. · Journal of Gastroenterology · 125
Incidental cerebral aneurysms detected by a computer-assisted detection system based on artificial intelligence
2020 · Yuki Shimada, Tetsuya Tanimoto, et al. · Medicine · 21
Effectiveness of tuning an artificial intelligence algorithm for cerebral aneurysm diagnosis: a study of 10,000 consecutive cases
2023 · Masashi Kuwabara, Fusao Ikawa, et al. · Scientific Reports · 14
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Development and evaluation of an artificial intelligence (AI) -assisted chest x-ray diagnostic system for detecting, diagnosing, and monitoring tuberculosis
2025 · Lalita Kaewwilai, Hiroshi Yoshioka, et al. · Global Transitions · 13
Artificial intelligence for volumetric measurement of cerebral white matter hyperintensities on thick-slice fluid-attenuated inversion recovery (FLAIR) magnetic resonance images from multiple centers
2024 · Masashi Kuwabara, Fusao Ikawa, et al. · Scientific Reports · 9
Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation
2023 · Reiko Akiyama, Takao Goto, et al. · Nature Communications · 8
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Detection Accuracy and Latency of Colorectal Lesions with Computer-Aided Detection System Based on Low-Bias Evaluation
2021 · Hiroaki Matsui, Shunsuke Kamba, et al. · Diagnostics · 6
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Id: 3519580 a Multicentre Randomized Controlled Trial to Verify the Reducibility of Adenoma Miss Rate of Colonoscopy Assisted With Artificial Intelligence Based Software
2021 · Shunsuke Kamba, Naoto Tamai, et al. · Gastrointestinal Endoscopy · 4
IMACEL: A cloud-based bioimage analysis platform for morphological analysis and image classification
2019 · Yuki Shimahara, Ko Sugawara, et al. · PLoS ONE · 4
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Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey
2021 · Han, Changhee, Okamoto, Takayuki, et al. · arXiv (Cornell University) · 2
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Quantitative Evaluation of Stromule Frequency at Hourly Intervals in Arabidopsis Stomatal Guard Cell Chloroplasts
2019 · Yuki Shimahara, Natsumaro Kutsuna, et al. · CYTOLOGIA · 2
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Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis : A Survey
2021 · Changhee Han, Takayuki Okamoto, et al. · arXiv (Cornell University)
CAFW110 Machine Learning Algorithms in Histology and Radiology for Cancer Drug Discovery and Development
2019 · Partha Sarathi Paul, Yuki Shimahara, et al.
Software detecting image misconduct automatically for researchers
2019 · Kei H. Kojo, Sakakibara Akihiro, et al. · The Molecular Biology Society of Japan
人工知能を活用した細胞画像解析システムimacelの開発とストロミュールの形態解析
2019 · Shimahara, Yuki · Institutional Repositories DataBase (IRDB)
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AI-based image analysis cloud service
2017 · Yuki Shimahara, Yuki Nakao, et al. · The Japanese Biochemical Society/The Molecular Biology Society of Japan
Detection of Image Manipulation and Plagiarism in Life Sciences Research
2016 · Yuki Shimahara and Natsumaro Kutsuna · Editorial Office News
Works count: 23
Citation count: 832
H-index: 8
I10-index: 7
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