Prof. Shigeki Aoki Profile

Prof. Shigeki Aoki

at Juntendo Univ

SPIE Involvement:

Author

Publications (9)

Proceedings Article | 3 April 2024 Presentation + Paper

Boosting substantia nigra segmentation from T2 weighted MRI via test-time normalization and distance-reweighted loss

Tao Hu, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Wataru Sako, Kei-ichi Ishikawa, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12927, 129270O (2024) https://doi.org/10.1117/12.3008521

KEYWORDS: Magnetic resonance imaging, Voxels, Image segmentation, Parkinson disease, Brain, Deep learning

Read Abstract +

Proceedings Article | 3 April 2024 Poster + Paper

Performance improvement for medical image classification model by using gradient-based analytical feature selection

Ryo Toda, Hayato Itoh, Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12927, 129272C (2024) https://doi.org/10.1117/12.3006620

KEYWORDS: Visualization, Visual process modeling, Feature selection, Image classification, COVID 19, Data modeling, Medical imaging, Image analysis

Read Abstract +

Proceedings Article | 7 April 2023 Presentation + Paper

Improved method for COVID-19 classification of complex-architecture CNN from chest CT volumes using orthogonal ensemble networks

Ryo Toda, Masahiro Oda, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12465, 124650D (2023) https://doi.org/10.1117/12.2653792

KEYWORDS: COVID 19, Computed tomography, Machine learning, Education and training, Chest, Feature extraction, Lung, Computer aided detection

Read Abstract +

Proceedings Article | 7 April 2023 Poster + Paper

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer

Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12465, 1246534 (2023) https://doi.org/10.1117/12.2654706

KEYWORDS: 3D modeling, 3D image processing, COVID 19, Image classification, Chest, Computed tomography, Lung

Read Abstract +

Proceedings Article | 3 April 2023 Poster + Paper

Priority attention network with Bayesian learning for fully automatic segmentation of substantia nigra from neuromelanin MRI

Tao Hu, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12464, 124643G (2023) https://doi.org/10.1117/12.2655112

KEYWORDS: Magnetic resonance imaging, Image segmentation, Monte Carlo methods, 3D modeling, Parkinson disease, Network architectures

Read Abstract +

Proceedings Article | 4 April 2022 Poster + Paper

Size-reweighted cascaded fully convolutional network for substantia nigra segmentation from T2 MRI

Tao Hu, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12032, 120323K (2022) https://doi.org/10.1117/12.2613298

KEYWORDS: Image segmentation, Magnetic resonance imaging, Medical imaging, Convolution, Brain

Read Abstract +

Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Substantia nigra analysis by tensor decomposition of T2-weighted images for Parkinson’s disease diagnosis

Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12032, 120323T (2022) https://doi.org/10.1117/12.2612830

KEYWORDS: Magnetic resonance imaging, Statistical analysis, Shape analysis, Feature extraction, Drug discovery, Brain, Analytical research, 3D image processing

Read Abstract +

Proceedings Article | 4 April 2022 Presentation + Paper

Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes

Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori

Proceedings Volume 12033, 1203309 (2022) https://doi.org/10.1117/12.2613317

KEYWORDS: Feature extraction, Chest, Computed tomography, Lung, Convolution, 3D image processing, Image processing, Image classification, CAD systems

Read Abstract +

Proceedings Article | 16 March 2020 Paper

Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset

Yuichiro Hayashi, Chen Shen, Holger Roth, Masahiro Oda, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako Kumamaru, Shigeki Aoki, Kensaku Mori

Proceedings Volume 11314, 113143V (2020) https://doi.org/10.1117/12.2551022

KEYWORDS: 3D modeling, Image segmentation, Computed tomography, Stomach, Data modeling, Medical imaging, Arteries, Veins, Liver

Read Abstract +

Showing 5 of 9 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years