Dr. Shouhei Hanaoka Profile

Dr. Shouhei Hanaoka

Research associate at Univ of Tokyo

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Publications (7)

Proceedings Article | 2 April 2024 Presentation + Paper

A radiomics approach in predicting the risk of diabetes mellitus type II emergence in five years using mammography images

Nishta Letchumanan, Shouhei Hanaoka, Tomomi Takenaga, Yusuke Suzuki, Takahiro Nakao, Yukihiro Nomura, Takeharu Yoshikawa, Osamu Abe

Proceedings Volume 12931, 129310Y (2024) https://doi.org/10.1117/12.3006314

KEYWORDS: Mammography, Radiomics, Feature extraction, Machine learning, Random forests, Diseases and disorders, Breast, Cooccurrence matrices, Blood, Image classification

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Proceedings Article | 27 February 2018 Presentation + Paper

A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes

Daisuke Sato, Shouhei Hanaoka, Yukihiro Nomura, Tomomi Takenaga, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe

Proceedings Volume 10575, 105751P (2018) https://doi.org/10.1117/12.2292276

KEYWORDS: Head, Computed tomography, Brain, Computing systems, Radiology, Diagnostics, Convolutional neural networks, Neural networks

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Proceedings Article | 3 March 2017 Presentation + Paper

Lung lesion detection in FDG-PET/CT with Gaussian process regression

Ryosuke Kamesawa, Issei Sato, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, Masashi Sugiyama

Proceedings Volume 10134, 101340C (2017) https://doi.org/10.1117/12.2255588

KEYWORDS: Data centers, Lung, Computer aided diagnosis and therapy, Computer aided design, Probability theory, Feature extraction, Machine learning, Computed tomography, Radiology, Solid modeling, Glucose, Tumors

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Proceedings Article | 24 March 2016 Paper

A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA

Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Kuni Ohtomo

Proceedings Volume 9785, 97852S (2016) https://doi.org/10.1117/12.2216832

KEYWORDS: Feature extraction, Denoising, Cerebral aneurysms, Computer aided diagnosis and therapy, Magnetism, Angiography, Magnetic sensors, Neural networks, Machine learning, Software development, Radiology

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Proceedings Article | 13 March 2013 Paper

Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model

Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo

Proceedings Volume 8669, 866917 (2013) https://doi.org/10.1117/12.2007134

KEYWORDS: Computed tomography, Medical imaging, Error analysis, Statistical analysis, Image segmentation, Image processing, Radiology, Image analysis, Pattern recognition, Feature extraction

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Proceedings Article | 15 March 2011 Paper

Whole vertebral bone segmentation method with a statistical intensity-shape model based approach

Shouhei Hanaoka, Karl Fritscher, Benedikt Schuler, Yoshitaka Masutani, Naoto Hayashi, Kuni Ohtomo, Rainer Schubert

Proceedings Volume 7962, 796242 (2011) https://doi.org/10.1117/12.878151

KEYWORDS: Image segmentation, Spine, Statistical modeling, Bone, Data modeling, Detection and tracking algorithms, Computed tomography, Statistical analysis, Principal component analysis, Medical imaging

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Proceedings Article | 15 March 2011 Paper

A unified framework for concurrent detection of anatomical landmarks for medical image understanding

Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo

Proceedings Volume 7962, 79623E (2011) https://doi.org/10.1117/12.878327

KEYWORDS: Medical imaging, Principal component analysis, Sensors, Range imaging, Computed tomography, Tissues, Statistical analysis, 3D image processing, Lung, Image processing

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Showing 5 of 7 publications

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