A. Shimizu

发表

Discrimination of breast tumors in ultrasonic images by classifier ensemble trained with AdaBoost

Kazuhiko Hamamoto, Akinobu Shimizu, Atsushi Takemura, 2011 .

Understanding Medical Images Based on Computational Anatomy Models

T. Kitasaka, K. Mori, T. Hara, 2017 .

Face detection from cluttered images using a polynomial neural network

Lin-Lin Huang, A. Shimizu, H. Kobatake, 2003, Neurocomputing.

On the pathwise uniqueness of solutions of stochastic differential equations

Akinobu Shimizu, Yasunori Okabe, A. Shimizu, 1975 .

Evaluation of post-mortem lateral cerebral ventricle changes using sequential scans during post-mortem computed tomography

A. Shimizu, H. Vogel, A. Heinemann, 2016, International Journal of Legal Medicine.

Critical Growth Processes for the Midfacial Morphogenesis in the Early Prenatal Period

S. Yamada, A. Shimizu, Shigehiko Suzuki, 2019, The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association.

Multi-organ segmentation in three dimensional abdominal CT images

Akinobu Shimizu, A. Shimizu, 2006 .

Condition relaxation in conditional statistical shape models

A. Shimizu, Elco Oost, Sho Tomoshige, 2014 .

A Modified Exoskeleton for 3D Shape Description and Recognition

A. Shimizu, R. Lipikorn, H. Kobatake, 2003 .

Coarse Calcification Detection Method and its Application to Reducing False Microcalcification Clusters

Akinobu Shimizu, Shigeru Nawano, Yoshihiro Hagihara, 2002 .

Applied Technologies and Systems

Noboru Niki, Yoshiki Kawata, Masahiro Oda, 2017 .

Spatiotemporal Statistical Shape Model for Temporal Shape Change Analysis of Adult Brain.

M. Nii, A. Shimizu, Syoji Kobashi, 2020, Current medical imaging.

A Spatiotemporal Statistical Shape Model of the Brain Surface during Human Embryonic Development

S. Yamada, A. Shimizu, H. Matsuzoe, 2018 .

Preliminary report of competition for liver region extraction algorithms from three-dimensional CT images

Akinobu Shimizu, Shigeru Nawano, A. Shimizu, 2004, CARS.

Ensemble segmentation using AdaBoost with application to liver lesion extraction from a CT volume

A. Shimizu, S. Nawano, H. Kobatake, 2008, The MIDAS Journal.

Special Section on Medical Imaging Ensemble Learning Based Segmentation of Metastatic Liver Tumours in Contrast-Enhanced Computed Tomography

A. Shimizu, S. Nawano, H. Kobatake, 2013 .

Development of automated extraction method for liver regions from multislice CT images

Akinobu Shimizu, Hidefumi Kobatake, Takeshi Hitosugi, 2002 .

Improvement of performance to discriminate malignant tumors from normal tissue on mammograms by feature selection and evaluation of feature selection criteria

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2004, Systems and Computers in Japan.

Development of computer-aided detection system of liver cancers based on information fusion of two-phase three-dimensional abdominal CT images and its performance evaluation

Takahiro Kawamura, Akinobu Shimizu, Hidefumi Kobatake, 2005 .

Face Detection Using Principal Component Analysis and Polynomial Neural Network

Akinobu Shimizu, Hidefumi Kobatake, Yoshihiro Hagihara, 2001 .

Development of an automated extraction method for liver tumors in three-dimensional multiphase multislice images

Akinobu Shimizu, Hidefumi Kobatake, Jun-ya Nakagawa, 2005, Systems and Computers in Japan.

A Modified Exoskeleton and a Hausdorff Distance Matching Algorithm for Shape-Based Object Recognition

Akinobu Shimizu, Hidefumi Kobatake, Rajalida Lipikorn, 2003, CISST.

Proposal of Atlas-guided Eigen-organ Method for Location Detection of Multi-Organs in Three Dimensional Medical Images(Joint Session 2)

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2005 .

Improvement of tumor detection performance in mammograms by feature selection from a large number of features and proposal of fast feature selection method

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2006, Systems and Computers in Japan.

An interval change detection method for two chest X-ray images with different rotation angles of the human body and its performance evaluation

Akinobu Shimizu, Hidefumi Kobatake, Yoshie Matsuo, 2005, Systems and Computers in Japan.

I-063 Study on feature extraction methods for improvement of face detection system

Akinobu Shimizu, Hidefumi Kobatake, Lin-Lin Huang, 2004 .

ICA Mixture Analysis of Four-Phase Abdominal CT Images

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2004, IEICE Trans. Inf. Syst..

Improvements of a Breast Cancer Detection System for Three Dimensional Breast CT Images by Using New Feature and Classification Method

Akinobu Shimizu, Hidefumi Kobatake, Kunihisa Miyakawa, 2005 .

An Automated Segmentation Algorithm for CT Volumes of Livers with Atypical Shapes and Large Pathological Lesions

Akinobu Shimizu, Hidefumi Watanabe, Shigeru Nawano, 2014, IEICE Trans. Inf. Syst..

A Methodology for 3D Shape Recognition Using Modified Exoskeleton

Akinobu Shimizu, Hidefumi Kobatake, Yoshihiro Hagihara, 2002, JCIS.

Proposal and evaluation of a stochastic model for a parallel image processing procedure

Makoto Takahashi, Toshihiro Hamada, Akinobu Shimizu, 2002 .

Simultaneous segmentation of multi-organ in three dimensional abdominal CT images

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2005 .

A robust location detection algorithm for organs in three dimensional medical images

Akinobu Shimizu, Hidefumi Kobatake, Cong Yao, 2005 .

Probability Model of Computer-aided Screening System Using Image Processing and Evaluation of Performance -The Case of Screening for X-Ray Images-

Shinji Yamamoto, Akinobu Shimizu, Jun-ichiro Toriwaki, 1993 .

Vision Expert System 3 D-IMPRESS for Automated Construction of Three Dimensional Image Processing Procedures and Its Performance Evaluation

A. Shimizu, J. Hasegawa, Xiang-rong Zhou, 1999 .

Quantitative study of detectability of nodule shadows by computer from a three dimensional chest CT image and a two dimensional projected image

Akinobu Shimizu, Junichi Hasegawa, Jun-ichiro Toriwaki, 1999 .

Proposal of segmentation algorithm for multiple organs using three dimensional human atlas of anatomy

Akinobu Shimizu, Shigeru Nawano, Tomohisa Yanagita, 2005 .

Mathematics Education. Selected Papers from the Conference on Stochastic Processes and Their Applications. (15th, Nagoya, Japan, July 2-5, 1985).

Akinobu Shimizu, Takeyuki Hida, T. Hida, 1986 .

Statistical Modeling of Pulmonary Vasculatures with Topological Priors in CT Volumes

Jean Cousty, Yukiko Kenmochi, Atsushi Saito, 2021, iMIMIC/TDA4MedicalData@MICCAI.

Discrimination of breast tumors in ultrasonic images by classifier ensemble trained with AdaBoost

Kazuhiko Hamamoto, Akinobu Shimizu, Atsushi Takemura, 2011 .

Approximate Solutions of Stochastic Differential Equations

Akinobu Shimizu, A. Shimizu, Tsuneyoshi Kawachi, 1984 .

Convergence to the structured coalescent process

Akinobu Shimizu, Ryouta Kozakai, Morihiro Notohara, 2016, Journal of Applied Probability.

Integrable Difference Analogue of the Logistic Equation and B

A. Shimizu, N. Saitoh, S. Saito, 1994, hep-th/9410175.

Attention induction for a CT volume classification of COVID-19

A. Shimizu, Y. Otake, T. Akashi, 2022, International Journal of Computer Assisted Radiology and Surgery.

Classification and visual explanation for COVID-19 pneumonia from CT images using triple learning

K. Mori, K. Hotta, M. Oda, 2022, Scientific Reports.

Construction of a solution of a certain evolution equation

A. Shimizu, 1977, Nagoya Mathematical Journal.

Automatic detection of vertebral number abnormalities in body CT images

Yoshitaka Masutani, Akinobu Shimizu, Naoto Hayashi, 2017, International Journal of Computer Assisted Radiology and Surgery.

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

Martin Styner, Jacob D. Furst, Thomas Lange, 2009, IEEE Transactions on Medical Imaging.

Nonlinear adaptive convergence index filters and their characteristics

Akinobu Shimizu, Hidefumi Kobatake, Yoshihiro Hagihara, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Medical image analysis of 3D CT images based on extension of Haralick texture features

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2008, Comput. Medical Imaging Graph..

3D extension of Haralick texture features for medical image analysis

Akinobu Shimizu, Daniel Smutek, Ludvik Tesar, 2007 .

Coalescent process with fluctuating population size and its effective size.

A. Shimizu, M. Iizuka, Akinori Sano, 2004, Theoretical population biology.

An analysis of a family of rational maps containing integrable and non-integrable difference analogue of the logistic equation

Satoru Saito, Katsuhiko Yoshida, A. Shimizu, 1996 .

Stationary distribution of a diffusion process taking values in probability distributions on the partitions

A. Shimizu, 1987 .

Fundamental Theories and Techniques

Hidekata Hontani, Akinobu Shimizu, Shohei Hanaoka, 2017 .

Detection of pancreatic tumor cell nuclei via a hyperspectral analysis of pathological slides based on stain spectra.

Masahiro Ishikawa, Makoto Hashizume, Akinobu Shimizu, 2019, Biomedical optics express.

Regulatory Science on AI-based Medical Devices and Systems

Kazuhiko Ohe, Kanako Harada, Mamoru Mitsuishi, 2018 .

From classical to deep learning: review on cartilage and bone segmentation techniques in knee osteoarthritis research

Asnida Abd Wahab, Akinobu Shimizu, Hong-Seng Gan, 2020, Artificial Intelligence Review.

Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images

Yoshitaka Masutani, Akinobu Shimizu, Naoto Hayashi, 2017, International Journal of Computer Assisted Radiology and Surgery.

Classification of large-scale image database of various skin diseases using deep learning

Atsushi Saito, Akinobu Shimizu, Kohei Murao, 2021, International Journal of Computer Assisted Radiology and Surgery.

A pilot study of architectural distortion detection in mammograms based on characteristics of line shadows

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2008, International Journal of Computer Assisted Radiology and Surgery.

Distributed sensory coding by cerebellar complex spikes in units of cortical segments.

S. Itohara, Takahiro Ishikawa, S. Kakei, 2021, Cell reports.

A conditional statistical shape model with integrated error estimation of the conditions; Application to liver segmentation in non-contrast CT images

Akinobu Shimizu, Hidefumi Watanabe, Shigeru Nawano, 2014, Medical Image Anal..

Discrimination of Breast Tumors in Ultrasonic Images Using an Ensemble Classifier Based on the AdaBoost Algorithm With Feature Selection

Kazuhiko Hamamoto, Akinobu Shimizu, Atsushi Takemura, 2010, IEEE Transactions on Medical Imaging.

Infinite dimensional stochastic differential equations and their applications

A. Shimizu, T. Shiga, 1980 .

A tracking algorithm for extracting ridge lines in three-dimensional gray images using curvature of four-dimensional hypersurface

Yasushi Hirano, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, 2001, Systems and Computers in Japan.

Segmentation of kidney by using a deformable model

Baigalmaa Tsagaan, Akinobu Shimizu, Hidefumi Kobatake, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Liver segmentation from low-radiation-dose pediatric computed tomography using patient-specific, statistical modeling

Marius George Linguraru, Atsushi Saito, Akinobu Shimizu, 2019, International Journal of Computer Assisted Radiology and Surgery.

Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs

Atsushi Saito, Akinobu Shimizu, Shigeru Nawano, 2016, Medical Image Anal..

Automated pancreas segmentation from three-dimensional contrast-enhanced computed tomography

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2009, International Journal of Computer Assisted Radiology and Surgery.

Automated measurement of bone scan index from a whole-body bone scintigram

Atsushi Saito, Akinobu Shimizu, Kazuhiro Nishikawa, 2019, International Journal of Computer Assisted Radiology and Surgery.

Applying ICA Mixture Analysis for Segmenting Liver from Multi-phase Abdominal CT Images

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2004, MIAR.

Prediction of object manipulation using tactile sensor information by a humanoid robot

Toru Kaneko, Akinobu Shimizu, Yuichi Kobayashi, 2012, 2012 IEEE International Symposium on Robotic and Sensors Environments Proceedings.

Segmentation of multiple organs in non-contrast 3D abdominal CT images

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2007, International Journal of Computer Assisted Radiology and Surgery.

An Automated Segmentation Method of Kidney Using Statistical Information

Baigalmaa Tsagaan, Akinobu Shimizu, Hidefumi Kobatake, 2002, MICCAI.

Robust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluation

Hidekata Hontani, Makoto Hashizume, Mauricio Kugler, 2019, International Journal of Computer Assisted Radiology and Surgery.

Multi-shape graph cuts with neighbor prior constraints and its application to lung segmentation from a chest CT volume

Akinobu Shimizu, Hidefumi Kobatake, Koji Fujimoto, 2013, Medical Image Anal..

Automatic Liver Segmentation Method based on Maximum A Posterior Probability Estimation and Level Set Method

Akinobu Shimizu, Hidefumi Kobatake, Daisuke Furukawa, 2007 .

Spatiotemporal statistical models of a human embryo

Hidekata Hontani, Hiroshi Matsuzoe, Akinobu Shimizu, 2019, Other Conferences.

Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization

Yoshitaka Masutani, Akinobu Shimizu, Naoto Hayashi, 2017, Medical Image Anal..

Augmented Radiology: Feature Space Transfer Model for Prostate Cancer Stage Prediction

Akinobu Shimizu, Masahiro Ogino, Zisheng Li, 2021, IEEE Access.

Statistical shape model of a liver for autopsy imaging

Seiji Yamamoto, Atsushi Saito, Akinobu Shimizu, 2014, International Journal of Computer Assisted Radiology and Surgery.

Automated Segmentation of 3D CT Images Based on Statistical Atlas and Graph Cuts

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2010, MCV.

Optimal image feature set for detecting lung nodules on chest X-ray images

Akinobu Shimizu, Jun Wei, Yoshihiro Hagihara, 2002 .

Face detection using a modified radial basis function neural network

Akinobu Shimizu, Hidefumi Kobatake, Lin-Lin Huang, 2002, Object recognition supported by user interaction for service robots.

Face detection from cluttered images using a polynomial neural network

Akinobu Shimizu, Hidefumi Kobatake, Yoshihiro Hagihara, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Combining Classifiers for Robust Face Detection

Akinobu Shimizu, Lin-Lin Huang, Lin-Lin Huang, 2006, ISNN.

Gradient feature extraction for classification-based face detection

Akinobu Shimizu, Hidefumi Kobatake, Yoshihiro Hagihara, 2003, Pattern Recognit..

Construction of a solution of a certain evolution equation II

A. Shimizu, 1977, Nagoya Mathematical Journal.

Texture Analysis of Hepatocellular Carcinoma and Liver Cysts in CT Images

Akinobu Shimizu, Shigeru Nawano, Hidefumi Kobatake, 2006, SPPRA.

HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules

N. Hayashi, A. Shimizu, T. Yoshikawa, 2019, International Journal of Computer Assisted Radiology and Surgery.

Extraction of metastasis hotspots in a whole-body bone scintigram based on bilateral asymmetry

A. Shimizu, S. Higashiyama, J. Kawabe, 2021, International Journal of Computer Assisted Radiology and Surgery.

Fundamental solutions of stochastic partial differential equations arising in nonlinear filtering theory

A. Shimizu, 1983 .

Automated pancreas segmentation from three-dimensional contrast-enhanced computed tomography

A. Shimizu, S. Nawano, H. Kobatake, 2009, International Journal of Computer Assisted Radiology and Surgery.

Medical Image Processing Competition in Japan

Akinobu Shimizu, Shigeru Nawano, Kenji Shinozaki, 2009 .

A multi-expert approach for robust face detection

Akinobu Shimizu, Hidefumi Kobatake, Lin-Lin Huang, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Automated construction of image processing procedure based on misclassification condition

Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Toshihiro Hamada, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.