Tokyo Institute of Technology   Biomedical Artificial Intelligence Unit (BMAI), Institute of Integrated Research (IIR)   Professor

2021

Tokyo Tech Academy for Super Smart Society, Tokyo Institute of Technology   Professor (Specially Appointed)

2020.4

World Research Hub Initiative (WRHI), Institute of Innovative Research (IIR), Tokyo Institute of Technology   Professor (Specially Appointed)

2017.5

The Laboratory for Future Interdisciplinary Research in Science and Technology (FIRST), Institute of Innovative Research (IIR), Tokyo Institute of Technology   Professor (Specially Appointed)

2017.5

Information and Communications Engineering, School of Engineering, Tokyo Institute of Technology   Professor (Specially Appointed)

2017.5

Illinois Institute of Technology   Department of Electrical and Computer Engineering, Amour College of Engineering   Associate Professor (Tenured)

2014.8

Illinois Institute of Technology   Medical Imaging Research Center, Pritzker Institute of Biomedical Science and Engineering   Associate Professor (Tenured)

2014.8

The University of Chicago   The University of Chicago Comprehensive Cancer Center   Assistant Professor

2007.1

The University of Chicago   Committee on Medical Physics (Graduate Program), Division of the Biological Sciences   Assistant Professor

2007.1

The University of Chicago   Department of Radiology, Division of the Biological Sciences   Assistant Professor

2006.7

The University of Chicago   Department of Radiology, Division of the Biological Sciences   Research Associate (Assistant Professor)

2004.8

The University of Chicago   Department of Radiology, Division of the Biological Sciences   Research Associate (Instructor)

2003.8

The University of Chicago   Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, Division of the Biological Sciences   Research Associate

2002.9

Aichi Prefectural University   Faculty of Information Science and Technology

1998.4

Aichi Prefectural University

1997.4

(株)日立メディコ   技術研究所   研究員

1993.4

日本メディカルAI学会

電子情報通信学会

情報処理学会

22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019)   Chair, Satellite Events Committee  

2019.9   

International Conference on Dementia & Alzheimer’s Disease (Dementia 2019)   Organizing Committee Member  

2019.7   

5th Edition of International Conference on Clinical Oncology and Molecular Diagnostics (Clinical Oncology 2019)   Organizing Committee Member  

2019.6   

4th International Cancer Study & Therapy Conference (Cancer Science2019)   Organizing Committee Member  

2019.4   

IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC)   Associate Editor  

2019   

Diagnostics   Editorial Board Member  

2019   

日本メディカルAI 学会   顧問  

2019   

International Coalition of Intelligent Manufacturing (ICIM)   Academic Committee member  

2019   

AAPM Computer Aided Image Analysis Subcommittee (CADSC)   Member  

2019 - 2023   

AAPM Task Group No. 273 - CAD Assessment, Quality Assurance and Training (TG273)   Member  

2019 - 2023   

Top 10 International Intelligent Manufacturing Technologies, International Coalition on Intelligent Manufacturing   Evaluation Committee Member  

2019   

AAPM 2019 Summer School faculty/program directors   Faculty  

2019   

International conference on Medical Imaging and Clinical Research 2018   Organizing Committee Member  

2018.10   

International Conference on Electronics & Electrical Engineering (ICEEE 2018)   Organizing Committee Member  

2018.7   

AAPM CAD subcommittee   Member  

2018.2   

Electronics   Editorial Board Member  

2018   

7th International Conference on Ambient Computing, Applications, Services and Technologies (AMBIENT 2017)   Steering Committee Member  

2017.11   

10th International Conference on Biomarkers and Clinical Research   Organizing Committee Member  

2017.10   

Pattern Recognition   Associate Editor  

2017   

International Conference on Ambient Computing, Applications, Services and Technologies (AMBIENT)   Steering Committee Member  

2017   

International Workshop on Machine Learning in Medical Imaging (MLMI)   Chair  

2017   

Special issue on “Machine Learning in Medical Imaging,” Pattern Recognition   Guest Editor  

2017   

Special issue on “Advances in Translational Cancer Imaging: Opportunities and Challenges,” BioMed Research International   Guest Editor  

2016   

Special issue on “Machine Learning in Medical Imaging,” Computerized Medical Imaging and Graphics   Guest Editor  

2015   

the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC)   Track Chair  

2014.7   

Journal of Imaging   Editorial Board Member  

2014   

International Workshop on Machine Learning in Medical Imaging (MLMI)   Steering Committee Member  

2014 - 2020   

the 22nd International Conference on Pattern Recognition (ICPR)   Area Chair, Biomedical Image Analysis track  

2014   

IEEE ICDM Workshop on Data Mining in Medical Imaging   Program Committee Member  

2014   

International Conference on Innovation in Medicine and Healthcare (InMed)   International Program Committee Member  

2013 - 2021   

International Association for Pattern Recognition (IAPR)   Committee Member, Technical Committee on Pattern Recognition for Bioinformatics (IAPR TC-20)  

2013   

2013 IEEE International Conference on Systems, Man, and Cybernetics (2013 IEEE SMC)   Program Committee Member  

2013   

Research Competitiveness Program, American Association for the Advancement of Science (AAAS), USA   Reviewer  

2013   

Special issue on “Advanced Computing for Image-Guided Intervention,” Neurocomputing   Guest Editor  

2013   

Quantitative Imaging in Medicine and Surgery   Editorial Board Member  

2012 - 2022   

MICCAI Workshop on Clinical Image-based Procedures: From Planning to Intervention (CLIP)   Program Committee Member  

2012 - 2016   

The International Association of Science & Engineering Congress   Editorial Board Member  

2012   

the 21st International Conference on Pattern Recognition (ICPR)   Area Chair, Virtual Reality and Medical Applications track  

2012   

Academic Radiology   Deputy Editor  

2011 - 2018   

Smart Health and Wellbeing (SHB) Cross-Cutting Program, Directorate for Computer & Information Science & Engineering (CISE), National Science Foundation (NSF), USA   Panel Member  

2011   

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMB)   Associate Editor  

2010   

International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE)   Technical Program Committee Member  

2010 - 2014   

International Conference on Data Communication Networking (DCNET)   International Program Committee Member  

2010 - 2014   

International Workshop on Machine Learning in Medical Imaging (MLMI)   Chair  

2010 - 2013   

MICCAI Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging   Chair  

2010   

SPIE International Symposium on Medical Imaging, Computer-Aided Diagnosis conference (SPIE MI)   Program Committee Member  

2009   

Workshop on Soft Computing in Image Processing and Computer Vision (SCIPCV), International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV)   Program Committee Member  

2009 - 2013   

International Conference on Networked Computing (INC)   Program Committee Member  

2009 - 2010   

the 19th International Conference on Pattern Recognition (ICPR)   Program Committee Member  

2008 - 2014   

IEEE Chicago Section   IEEE Senior Member Upgrade Chair  

2008 - 2011   

Research Advisory Committee, American Cancer Society (ACS), Illinois Division, USA   Member  

2008 - 2010   

Medical Physics   Invited Associate Editor  

2007   

IEEE Transactions on Neural Networks   Reviewer  

2001 - 2011   

Transformation from hematoxylin-and-eosin staining to Ki-67 immunohistochemistry digital staining images using deep learning: experimental validation on the labeling index

Cunyuan Ji, Kengo Oshima, Takumi Urata, Fumikazu Kimura, Keiko Ishii, Takeshi Uehara, Kenji Suzuki, Saori Takeyama, Masahiro Yamaguchi

Journal of Medical Imaging   11 ( 04 )   2024.7

Federated Active Learning Framework for Efficient Annotation Strategy in Skin-Lesion Classification

Zhipeng Deng, Yuqiao Yang, Kenji Suzuki

Journal of Investigative Dermatology   2024.6

AI and machine learning in medical imaging: key points from development to translation

Ravi K Samala, Karen Drukker, Amita Shukla-Dave, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Hayit Greenspan, Usman Mahmood, Ronald M Summers, Georgia Tourassi, Thomas M Deserno, Daniele Regge, Janne J Näppi, Hiroyuki Yoshida, Zhimin Huo, Quan Chen, Daniel Vergara, Kenny H Cha, Richard Mazurchuk, Kevin T Grizzard, Henkjan Huisman, Lia Morra, Kenji Suzuki, Samuel G Armato, Lubomir Hadjiiski

BJR|Artificial Intelligence   1 ( 1 )   2024.1

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Karen Drukker, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski

BJR|Artificial Intelligence   1 ( 1 )   2024.1

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Pengyu Dai, Yafei Ou, Yuqiao Yang, Dichao Liu, Masahiro Hashimoto, Masahiro Jinzaki, Mototaka Miyake, Kenji Suzuki

Lecture Notes in Computer Science   2024

Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN

Pavarut S., Preedanan W., Kumazawa I., Suzuki K., Kobayashi M., Tanaka H., Ishioka J., Matsuoka Y., Fujii Y.

IEEE Access   Vol. 11   2023.12

Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models

Ze Jin, Maolin Pang, Yuqiao Yang, Fahad Parvez Mahdi, Tianyi Qu, Ren Sasage, Kenji Suzuki

Lecture Notes in Computer Science   713 - 722   2023.10

Auto-CA: Automated Cobb Angle Measurement Based on Vertebrae Detection for Assessment of Spinal Curvature Deformity Reviewed

Wahyu Rahmaniar, Kenji Suzuki, Ting-Lan Lin

IEEE Transactions on Biomedical Engineering   1 - 10   2023.9

Artificial intelligence model substantially improves stratum corneum moisture content prediction from visible‐light skin images and skin feature factors Reviewed

Tomoyuki Shishido, Yasuhiro Ono, Itsuo Kumazawa, Ichiro Iwai, Kenji Suzuki

Skin Research and Technology   29 ( 8 )   2023.7

Functional Model Visualization for Explaining Massive-Training Artificial Neural Network for Liver Tumor Segmentation

Pang M, Jin Z, Qu T, Mahdi F. P, Sasage R, Suzuki K

45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023)   2023.7

Under-sampled Image Reconstruction in Fast Acquisition MRI with Massive-Training Artificial Neural Networks (MTANNs) Deep Learning Approach

Songxiao Yang, XIANG Maodong, QU Tianyi, JIN ZE, 鈴木 賢治

45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023)   2023.7

AI-aided Diagnosis of Rare Soft-Tissue Sarcoma by Means of Massive-Training Artificial Neural Network (MTANN)

Yang Y, Jin Z, Nakatani F, Miyake M, Suzuki K

45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023)   2023.7

Special Issue: Editorial Board Members’ Collection Series in “Computer-Aided Diagnosis and Prognosis of Diseases"

Wan Azani Mustafa, Kenji Suzuki

Diagnostics   2023.3

Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means of Multi-scale-Kernel Massive-Training Artificial Neural Network (MTANN) for Generating Virtual High-Dose Images

Zhipeng Deng, Ze Jin, Kenji Suzuki

European Congress of Radiology (ECR 2023)   2023.3

Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline with Stone-Embedding Augmentation and Lesion-Size Reweighting Approach Reviewed

Wongsakorn Preedanan, Kenji Suzuki, Toshiaki Kondo, Masaki Kobayashi, Hajime Tanaka, Junichiro Ishioka, Yoh Matsuoka, Yasuhisa Fujii, Itsuo Kumazawa

IEEE Access   vol. 11   1 - 1   2023.3

Special issue: Intelligent Systems for One Digital Health

Giacinto Barresi, Sabrina Cipolletta, Andreas Triantafyllidis, Kenji Suzuki

International Journal of Environmental Research and Public Health   2023.2

Radiomics: Approach to Precision Medicine

Ze Jin, Taiguang Yuan, Yukiko Tokuda, Yasuto Naoi, Noriyuki Tomiyama, Kenji Suzuki

Intelligent Systems Reference Library   17 - 29   2023

Special Issue: Feature Papers for AI

Kenji Suzuki, José Machado

AI   2023

AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging Reviewed

Lubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, Karen Drukker, Lia Morra, Janne J. Näppi, Berkman Sahiner, Hiroyuki Yoshida, Quan Chen, Thomas M. Deserno, Hayit Greenspan, Henkjan Huisman, Zhimin Huo, Richard Mazurchuk, Nicholas Petrick, Daniele Regge, Ravi Samala, Ronald M. Summers, Kenji Suzuki, Georgia Tourassi, Daniel Vergara, Samuel G. Armato III

Medical Physics   2022.12

Improvement of Urinary Stone Segmentation Using GAN-Based Urinary Stones Inpainting Augmentation Reviewed

Wongsakorn Preedanan, Kenji Suzuki, Kondo T., Kobayashi M., Tanaka H., Ishioka J., Matsuoka Y., Fujii Y., Itsuo Kumazawa

IEEE Access   vol. 10   115131 - 115142   2022.10

Computerized Detection of Lesions in Diagnostic Images with Early Deep Learning Models

Kenji Suzuki

Machine and Deep Learning in Oncology, Medical Physics and Radiology   175 - 204   2022.2

Deep Learning in Medical Image Processing and Computer-Aided Diagnosis

Kenji Suzuki

Biomedical Engineering   2021.11

Artificial Intelligence for Virtual Medical Imaging for Accurate Diagnosis

Kenji Suzuki

Video Proceedings of Advanced Materials   2 ( 2 )   2021 - 03156   2021.5

Prediction of genetically-evaluated tumour responses to chemotherapy from breast MRI using machine learning with model selection

Taiguang Yuan, Ze Jin, Yukiko Tokuda, Yasuto Naoi, Noriyuki Tomiyama, Takashi Obi, Kenji Suzuki

Journal of Physics: Conference Series   1780 ( 1 )   012040 - 012040   2021.2

Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring Reviewed

Miguel Martinez-Garcia, Yu Zhang, Kenji Suzuki, Yu-Dong Zhang

IEEE Transactions on Industrial Informatics   17 ( 2 )   839 - 848   2021.2

スモールデータ深層学習とその医用画像処理・診断支援への応用

Kenji Suzuki

医学のあゆみ   Vol. 274 ( No. 9 )   737 - 742   2020.8

AI: A New Open Access Journal for Artificial Intelligence

Kenji Suzuki

AI   1 ( 2 )   141 - 142   2020.3

大規模学習ニューラルネット（MTANN）

Suzuki, Kenji

医療AIとディープラーニングシリーズ 2020-2021年版 はじめての医用画像ディープラーニング －基礎・応用・事例－   2020.3

Neural Network Convolution (NNC) Deep Learning for Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT)

Onai Y., Jin Z., Obi T., Suzuki K.

2020.2

Deep Learning for Medical Image Processing: Bones and Soft Tissue Separation in Chest Radiographs

Kenji Suzuki

Lung Cancer and Imaging   2019.12

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

Suzuki K., Reyes M., Syeda-Mahmood T., Konukoglu E., Glocker B., Wiest R., Gur Y., Greenspan H., Madabhushi A.

Vol. 11797   2019.10

Separation of bones from soft tissue in chest radiographs: Anatomy-specific orientation-frequency-specific deep neural network convolution Reviewed

Zarshenas A., Liu J., Forti P., Kenji Suzuki

Medical Physics   Vol. 46 ( No. 5 )   2232 - 2242   2019.5

A deep CNN based transfer learning method for false positive reduction Reviewed

Shi, Z., Hao, H., Zhao, M., Feng, Y., He, L., Wang, Y., Kenji Suzuki

Multimedia Tools and Applications   Vol. 78 ( No. 1 )   1017 - 1033   2019.1

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures

Greenspan, Hayit, Tanno, Ryutaro, Erdt, Marius, Suzuki, Kenji, Liao, Hongen, Wang, Qian, Ginneken, Bram van, Zhou, Luping, Arbel, Tal, Baumgartner, Christian, Dalca, Adrian, Sudre, Carole H, Wells, William M, Drechsler, Klaus, Linguraru, Marius George, Laura, Cristina Oyarzun, Shekhar, Raj, Wesar, Stefan, Ballester, Miguel Ángel González

11840   2019

Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting

Liao, Hongen, Balocco, Simone, Wang, Guijin, Zhang, Feng, Liu, Yongpan, Ding, Zijian, Duong, Luc, Phellan, Renzo, Zahnd, Guillaume, Breininger, Katharina, Albarqouni, Shadi, Moriconi, Stefano, Lee, Su-Lin, Demirci, Stefanie, Suzuki, Kenji, Greenspan, Hayit, Wang, Qian, Ginneken, Bram van, Zhou, Luping

11794   2019

Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution.

Yuchen Wang, Ze Jin, Yukiko Tokuda, Yasuto Naoi, Noriyuki Tomiyama, Kenji Suzuki 0001

ICCPR '19: 8th International Conference on Computing and Pattern Recognition(ICCPR)   187 - 191   2019

Special Issue: Computer-Aided Diagnosis and Characterization of Diseases

Luc Bidaut, Kenji Suzuki

Diagnostics   2018.9

Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): Consolidation, ground-glass opacity (GGO), and normal opacity Reviewed

Noriaki Hashimoto, Kenji Suzuki, Junchi Liu, Yasushi Hirano, Heber MacMahon, Shoji Kido

Medical Imaging 2018: Computer-Aided Diagnosis   2018.2

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Kenji Suzuki, Chen Yisong

2018.1

A comparative study of modern machine learning approaches for focal lesion detection and classification in medical images: BoVW, CNN and MTANN

Tajbakhsh, N., Kenji Suzuki

Vol. 140   2018.1

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Kenji Suzuki

2018

Massive-Training Support Vector Regression With Feature Selection in Application of Computer-Aided Detection of Polyps in CT Colonography

Jianwu Xu, Amin Zarshenas, Yisong Chen, Kenji Suzuki

2018

Massive-Training Support Vector Regression With Feature Selection in Application of Computer-Aided Detection of Polyps in CT Colonography

Kenji Suzuki

Emerging Developments and Practices in Oncology   2018

Introduction to binary coordinate ascent: New insights into efficient feature subset selection for machine learning

Zarshenas, A., Suzuki, K.

Intelligent Systems Reference Library   140   2018

A comparative study of modern machine learning approaches for focal lesion detection and classification in medical images: BoVW, CNN and MTANN

Tajbakhsh, N., Suzuki, K.

Intelligent Systems Reference Library   140   2018

A combinational algorithm for connected-component labeling and Euler number computing Reviewed

He, L., Zhao, X., Yao, B., Yang, Y., Chao, Y., Shi, Z., Kenji Suzuki

Journal of Real-Time Image Processing   Vol. 13 ( No. 4 )   703 - 712   2017.12

Deep Learning Applications, Research and Development in Medical Imaging: Introduction

SUZUKI Kenji

Medical Imaging Technology   35 ( 4 )   177 - 179   2017.9

Overview of deep learning in medical imaging

Kenji Suzuki

Radiological Physics and Technology   Vol. 10 ( No. 3 )   257 - 273   2017.9

Massive-Training Artificial Neural Network Deep Learning in Computer-Aided Diagnosis for Chest and Abdomen

HIRANO Yasushi, ITO Takayoshi, HASHIMOTO Noriaki, KIDO Shoji, SUZUKI Kenji

Medical Imaging Technology   35 ( 4 )   194 - 199   2017.9

Survey of Deep Learning Applications to Medical Image Analysis

SUZUKI Kenji

Medical Imaging Technology   35 ( 4 )   212 - 226   2017.9

Machine Learning in Medical Imaging Before and After Introduction of Deep Learning

Kenji SUZUKI

Medical Imaging and Information Sciences   Vol. 34 ( No. 2 )   14 - 24   2017.6

Machine Learning Applications in Medical Image Analysis

El-Baz, A., Gimel{'}Farb, G., Suzuki, K.

Computational and Mathematical Methods in Medicine   2017   2017.4

Efficient tree-structured SfM by RANSAC generalized Procrustes analysis Reviewed

Chen, Y., Chan, A.B., Lin, Z., Wang, G., Kenji Suzuki

Computer Vision and Image Understanding   Vol. 157   179 - 189   2017.4

Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs Reviewed

Tajbakhsh, N., Suzuki, K.

Pattern Recognition   63   476 - 486   2017.3

Fully automated MR liver volumetry using watershed segmentation coupled with active contouring Reviewed

Huynh, H.T., Le-Trong, N., Bao, P.T., Oto, A., Kenji Suzuki

International Journal of Computer Assisted Radiology and Surgery   Vol. 12 ( No. 2 )   235 - 243   2017.2

Computer-aided detection of lung cancer

Kenji Suzuki

2017.1

Computer-aided detection of lung cancer

Suzuki, K.

Image-Based Computer-Assisted Radiation Therapy   2017

Neural network convolution (NNC) for converting ultra-low-dose to “virtual” high-dose CT images Reviewed

Kenji Suzuki, Junchi Liu, Amin Zarshenas, Toru Higaki, Wataru Fukumoto, Kazuo Awai

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   10541   334 - 343   2017

Machine Learning in Medical Imaging (Lecture Notes in Computer Science: 10541)

Kenji Suzuki

2017

Special issue: Image and Video Processing in Medicine

Gonzalo Pajares Martinsanz, Philip Morrow, Kenji Suzuki

Journal of Imaging   2016.10

Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning Reviewed

Zarshenas, A., Kenji Suzuki

Knowledge-Based Systems   Vol. 110   191 - 201   2016.10

Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images Reviewed

Shi, Z., Ma, J., Zhao, M., Liu, Y., Feng, Y., Zhang, M., He, L., Suzuki, K.

BioMed Research International   2016   1 - 13   2016.8

Special issue: Advances in Translational Cancer Imaging: Opportunities and Challenges

Yi-Xiang Wang, Yong E. Chung, Weibo Cai, Kenji Suzuki

BioMed Research International   Vol. 2016   2016.8

Enhancement of chest radiographs obtained in the intensive care unit through bone suppression and consistent processing Reviewed

Chen, S., Zhong, S., Yao, L., Shang, Y., Kenji Suzuki

Physics in Medicine and Biology   Vol. 61 ( No. 6 )   2283 - 2301   2016.3

Supervised machine learning technique for reduction of radiation dose in computed tomography imaging

Suzuki, Kenji

United States Patent   US9332953   2016

Computer-aided detection of lung nodules in chest radiographs and thoracic CT

Suzuki, K.

Lung Imaging and Computer Aided Diagnosis   2016

Density Index: Extension of Shape Index in Describing Local Intensity Variations in a 3D Image

Sihai, Y., Xu, J., Kenji Suzuki

Journal of Computer-Aided Design & Computer Graphics   Vol. 28 ( no. 7 )   1152 - 1159   2016

Evaluation of MTANNs for eliminating false-positive with different computer aided pulmonary nodules detection software Reviewed

Shi Z., Ma J., Feng L., He L., Kenji Suzuki

Pakistan Journal of Pharmaceutical Sciences   Vol. 28 ( No. 6 )   2311 - 2316   2015.11

Quantitative radiology: automated measurement of polyp volume in computed tomography colonography using Hessian matrix-based shape extraction and volume growing. Reviewed

Kenji Suzuki

Quantitative imaging in medicine and surgery   5 ( 5 )   673 - 684   2015.10

A joint ROI extraction filter for computer aided lung nodule detection Reviewed

Shi, Z., Xu, B., Zhao, M., Zhao, J., Wang, Y., Liu, Y., Zhang, M., He, L., Suzuki, K.

Bio-Medical Materials and Engineering   26 ( No. s1 )   S1491 - S1499   2015.8

A new approach to segment both main and peripheral retinal vessels based on gray-voting and Gaussian mixture model Reviewed

Dai, P., Luo, H., Sheng, H., Zhao, Y., Li, L., Wu, J., Zhao, Y., Kenji Suzuki

PLoS ONE   Vol. 10 ( No. 6 )   e0127748 - e0127748   2015.6

Computerized Detection of Lesions in Diagnostic Images

Kenji Suzuki

2015.6

An automatic method for lung segmentation in thin slice computed tomography based on random walks Reviewed

Shi, Z., Si, C., Zhao, M., He, L., Zhang, M., Kenji Suzuki

Journal of Medical Imaging and Health Informatics   Vol. 5 ( No. 2 )   303 - 308   2015.4

Computerized Detection of Lesions in Diagnostic Images

Kenji Suzuki

Machine Learning in Radiation Oncology   2015

Relative income of clinical faculty members vs. science faculty members in university settings-a short survey of France, Hong Kong, India, Japan, South Korea, The Netherlands, Taiwan, UK, and USA Reviewed

Kenji Suzuki

Quantitative imaging in medicine and surgery   4 ( 6 )   500 - 501   2014.12

Special issue: Advanced Computing for Image-Guided Intervention

Fei Zuo, Jungong Han, Pingkun Yan, Hans van Assen, Kenji Suzuki

Vol. 144   2014.11

Evidence based imaging strategies for solitary pulmonary nodule Reviewed

Yi-Xiang J Wang, Jing-Shan Gong, Kenji Suzuki, Sameh K Morcos

Journal of Thoracic Disease   Vol. 6 ( No. 7 )   872 - 887   2014.7

Bone suppression in chest radiographs by means of anatomically specific multiple massive-training ANNs combined with total variation minimization smoothing and consistency processing

Chen, S., Kenji Suzuki

2014.7

Configuration-transition-based connected-component labeling Reviewed

He, L., Zhao, X., Chao, Y., Kenji Suzuki

IEEE Transactions on Image Processing   Vol. 23 ( No. 2 )   943 - 951   2014.2

Computerized liver volumetry on MRI by using 3D geodesic active contour segmentation Reviewed

Huynh, H.T., Karademir, I., Oto, A., Kenji Suzuki

American Journal of Roentgenology   Vol. 202 ( No. 1 )   152 - 159   2014.1

Bone suppression in chest radiographs by means of anatomically specific multiple massive-training ANNs combined with total variation minimization smoothing and consistency processing

Chen, S., Suzuki, K.

Computational Intelligence in Biomedical Imaging   9781461472452   2014

A new method based on MTANNs for cutting down false-positives: An evaluation on different versions of commercial pulmonary nodule detection CAD software Reviewed

Zhenghao Shi, Chunjiao Si, Yaning Feng, Lifeng He, Kenji Suzuki

Bio-Medical Materials and Engineering   24 ( 6 )   2839 - 2846   2014

Computational Intelligence in Biomedical Imaging

Suzuki, Kenji

2014

Max-AUC feature selection in computer-aided detection of polyps in CT colonography Reviewed

Xu, J.-W., Suzuki, K.

IEEE Journal of Biomedical and Health Informatics   18 ( 2 )   585 - 593   2014

Guest Editorial: Special issue on advanced computing for image-guided intervention

Zuo, F., Han, J., Yan, P., van Assen, H., Suzuki, K.

Neurocomputing   144   2014

Pixel-based machine learning in computer-aided diagnosis of lung and colon Cancer

Suzuki, K.

Machine Learning in Healthcare Informatics   56   2014

Pixel-based machine learning in computer-aided diagnosis of lung and colon Cancer

Suzuki, K.

Intelligent Systems Reference Library   56   2014

Guest Editorial: Special issue on advanced computing for image-guided intervention

Zuo, F., Han, J., Yan, P., van Assen, H., Suzuki, K.

Neurocomputing   144   2014

Separation of bones from chest radiographs by means of anatomically specific multiple massive-training ANNs combined with total variation minimization smoothing Reviewed

Chen S., Kenji Suzuki

IEEE Transactions on Medical Imaging   Vol. 33 ( No. 2 )   246 - 257   2013.10

Liver volumetry in MRI by using fast marching algorithm coupled with 3d geodesic active contour segmentation

Huynh, H.T., Karademir, I., Oto, A., Kenji Suzuki

2013.10

A Computer Aided Pulmonary Nodule Detection System Using Multiple Massive Training SVMs Reviewed

Shi, Z., Zhao, M., He, L., Wang, Y., Zhang, M., Kenji Suzuki

Applied Mathematics & Information Sciences   Vol. 7 ( 3 )   1165 - 1172   2013.5

An algorithm for connected-component labeling, hole labeling and euler number computing Reviewed

Li-Feng He, Yu-Yan Chao, Kenji Suzuki

Journal of Computer Science and Technology   Vol. 28 ( No. 3 )   468 - 478   2013.5

Machine Learning in Computer-Aided Diagnosis of the Thorax and Colon in CT: A Survey

Kenji SUZUKI

IEICE Transactions on Information and Systems   E96.D ( 4 )   772 - 783   2013.4

Computerized detection of lung nodules by means of 'virtual dual-energy' radiography Reviewed

Chen, S., Kenji Suzuki

IEEE Transactions on Biomedical Engineering   Vol. 60 ( No. 2 )   369 - 378   2013.2

Artificial Neural Networks - Architectures and Applications

Kenji Suzuki

2013.1

Artificial Neural Networks - Architectures and Applications

Kenji Suzuki

2013.1

Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies Reviewed

Ayman El-Baz, Garth M. Beache, Georgy Gimel'farb, Kenji Suzuki, Kazunori Okada, Ahmed Elnakib, Ahmed Soliman, Behnoush Abdollahi

International Journal of Biomedical Imaging   2013   1 - 46   2013.1

Lung imaging data analysis

El-Baz, A., Beache, G. M., Gimel'farb, G., Suzuki, K., Okada, K.

Int J Biomed Imaging   2013   618561 - 618561   2013

Machine Learning in Medical Imaging (Lecture Notes in Computer Science: 8184)

Kenji Suzuki

2013

Computerized Segmentation of Liver in Hepatic CT and MRI by Means of Level-Set Geodesic Active Contouring Reviewed

Kenji Suzuki, Hieu Trung Huynh, Yipeng Liu, Dominic Calabrese, Karen Zhou, Aytekin Oto, Masatoshi Hori

2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)   2984 - 2987   2013

Effect of CADe on Radiologists' Performance in Detection of "Difficult" Polyps in CT Colonography Reviewed

Kenji Suzuki, Masatoshi Hori, Gen Iinuma, Abraham H. Dachman

MEDICAL IMAGING 2013: COMPUTER-AIDED DIAGNOSIS   8670   2013

Computational intelligence in biomedical imaging

Suzuki, K.

Computational Intelligence in Biomedical Imaging   9781461472452   2013

Machine learning in medical imaging

Yan, P., Suzuki, K., Wang, F., Shen, D.

Machine Vision and Applications   24 ( 7 )   2013

A novel two-scan connected-component labeling algorithm

He, L., Chao, Y., Yang, Y., Li, S., Zhao, X., Suzuki, K.

Lecture Notes in Electrical Engineering   229 LNEE   2013

A Novel Two-Scan Connected-Component Labeling Algorithm

He, L., Chao, Y., Yang, Y., Li, S., Zhao, X., Suzuki, K.

IAENG Transactions on Engineering Technologies   2013

A Novel Two-Scan Connected-Component Labeling Algorithm

He, L., Chao, Y., Yang, Y., Li, S., Zhao, X., Suzuki, K.

IAENG Transactions on Engineering Technologies   2013

Lung Imaging Data Analysis

Ayman El-Baz, Garth M. Beache, Georgy Gimel\{\textquotesingle}farb, Kenji Suzuki, Kazunori Okada

International Journal of Biomedical Imaging   2013   1 - 2   2013

Lung imaging data analysis

El-Baz, A., Beache, G.M., Gimel{'}Farb, G., Suzuki, K., Okada, K.

International Journal of Biomedical Imaging   2013   1 - 2   2013

Liver volumetry in MRI by using fast marching algorithm coupled with 3d geodesic active contour segmentation

Huynh, H.T., Karademir, I., Oto, A., Suzuki, K.

Computational Intelligence in Biomedical Imaging   9781461472452   2013

ニューラルネットワーク

鈴木賢治

2012.11

Special issue: Lung Imaging Data Analysis

Ayman El-Baz, Garth M. Beache, Georgy Gimel'farb, Kenji Suzuki, Kazunori Okada

International Journal of Biomedical Imaging   2013   2012.11

A mutual-information-based global matching method for chest-radiography temporal subtraction Reviewed

Yu, Q., He, L., Nakamura, T., Chao, Y., Kenji Suzuki

Journal of Advanced Computational Intelligence and Intelligent Informatics   Vol. 16 ( No. 7 )   841 - 850   2012.11

A review of computer-aided diagnosis in thoracic and colonic imaging.

Kenji Suzuki

Quantitative imaging in medicine and surgery   Vol. 2 ( 3 )   163 - 176   2012.9

Machine Learning for Medical Imaging 2012

Suzuki, K.

Algorithms   2012.9

A mutual-information-based image registration method for chest-radiograph temporal subtraction Reviewed

Qian Yu, Lifeng He, Yuyan Chao, Kenji Suzuki, Tsuyosi Nakamura

2012 International Conference on Computer Science and Information Processing (CSIP)   2012.8

Sparse field snake model: A novel active contour model used for lung segmentation on chest radiographs Reviewed

Shi Z., Li L., Zhao M., He L., Wang Y., Zhang M., Kenji Suzuki

ICIC Express Letters, Part B: Applications   Vol. 3 ( No. 4 )   777 - 783   2012.8

A new first-scan method for two-scan labeling algorithms

He, L., Chao, Y., Suzuki, K.

IEICE Transactions on Information and Systems   E95-D ( 8 )   2142 - 2145   2012.8

Hessian-log: A novel dot enhancement filter Reviewed

Shi, Z., Zhao, M., Wang, Y., He, L., Suzuki, K., Jin, C., Zhang, M.

ICIC Express Letters, Part B: Applications   6 ( 8 )   1987 - 1992   2012.7

A new computer aided detection system for pulmonary nodule detection in chest radiography Reviewed

Shi, Z., Li, L., Kenji Suzuki, Wang, Y., He, L., Jin, C., Zhang, M.

Advanced Science Letters   Vol. 11 ( No. 1 )   536 - 541   2012.5

Machine Learning in Medical Imaging

Kenji Suzuki, Yan P., Wang F., Shen D.

International Journal of Biomedical Imaging   41   2012.3

Machine learning in medical imaging

Suzuki, K., Yan, P., Wang, F., Shen, D.

International Journal of Biomedical Imaging   2012   1 - 18   2012.2

Prognostic Value of the Quantitative Metabolic Volumetric Measurement on 18F-FDG PET/CT in Stage IV Nonsurgical Small-cell Lung Cancer Reviewed

Liao S., Penney B.C., Zhang H., Kenji Suzuki, Pu Y.

Academic Radiology   Vol. 19 ( No. 1 )   69 - 77   2012.1

Prognostic value of metabolic tumor burden on ¹⁸F-FDG PET in nonsurgical patients with non-small cell lung cancer Reviewed

Liao, S., Penney, B.C., Wroblewski, K., Zhang, H., Simon, C.A., Kampalath, R., Shih, M.-C., Shimada, N., Chen, S., Salgia, R., Appelbaum, D.E., Suzuki, K., Chen, C.-T., Pu, Y.

European Journal of Nuclear Medicine and Molecular Imaging   39 ( 1 )   27 - 38   2012.1

A new algorithm for labeling connected-components and calculating the Euler number, connected-component number, and hole number

Lifeng He, Yuyan Chao, Kenji Suzuki

Proceedings - International Conference on Pattern Recognition   3099 - 3102   2012

Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis

Suzuki, Kenji

2012

Computerized Detection of Lung Nodules on Chest Radiographs: Application of Bone Suppression Imaging by Means of Multiple Massive-Training ANNs

Kenji Suzuki

IGI Global   2012

Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis

Kenji Suzuki

2012

Computer-Aided Detection of Polyps in CT Colonography by Means of Feature Selection and Massive-Training Support Vector Regression

Kenji Suzuki

Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis   2012

MTANNs を応用した病巣陰影の識別

Kenji Suzuki

実践医用画像解析ハンドブック   2012

Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis

Kenji Suzuki

2012

Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis

Suzuki, Kenji

2012

Neural Networks

Kenji Suzuki

実践医用画像解析ハンドブック   2012

Machine Learning in Medical Imaging (Lecture Notes in Computer Science: 7588)

Kenji Suzuki

2012

A new connected-component labeling algorithm Reviewed

Chao, Y., He, L., Kenji Suzuki

American Journal of Engineering and Technology Research   Vol. 11   1099 - 1104   2011.12

Computed tomography liver volumetry using 3-dimensional image data in living donor liver transplantation: Effects of the slice thickness on the volume calculation Reviewed

Hori, M., Kenji Suzuki, Epstein, M.L., Baron, R.L.

Liver Transplantation   Vol. 17 ( No. 12 )   1427 - 1436   2011.12

Quantitative radiology: Automated CT liver volumetry compared with interactive volumetry and manual volumetry Reviewed

Suzuki, K., Epstein, M.L., Kohlbrenner, R., Garg, S., Hori, M., Oto, A., Baron, R.L.

American Journal of Roentgenology   197 ( 4 )   W706 - W712   2011.10

Special issue: Machine Learning in Medical Imaging

Kenji Suzuki, Pingkun Yan, Fei Wang, Dinggang Shen

International Journal of Biomedical Imaging   Vol. 24 ( Issue 7 )   2011.9

Two efficient label-equivalence-based connected-component labeling algorithms for 3-D binary images Reviewed

He, L., Chao, Y., Suzuki, K.

IEEE Transactions on Image Processing   20 ( 8 )   2122 - 2134   2011.8

Computer-aided detection of lung nodules in chest radiographs and thoracic CT

Kenji Suzuki

2011.8

Artificial Neural Networks - Methodological Advances and Biomedical Applications

Kenji Suzuki

2011.4

Pixel-Based Artificial Neural Networks in Computer-Aided Diagnosis

Kenji Suzuki

Artificial Neural Networks - Methodological Advances and Biomedical Applications   2011.4

Pixel-Based Artificial Neural Networks in Computer-Aided Diagnosis

Kenji Suzuki

2011.4

Artificial Neural Networks - Industrial and Control Engineering Applications

Kenji Suzuki

2011.4

Artificial Neural Networks - Industrial and Control Engineering Applications

Kenji Suzuki

2011.4

A new first-scan strategy for raster-scan-based labeling algorithms Reviewed

He, L., Chao, Y., Kenji Suzuki, Nakamura, T.

Journal of Information Processing Society of Japan   Vol. 52 ( 4 )   1813 - 1819   2011.4

Massive-training support vector regression and Gaussian process for false-positive reduction in computer-aided detection of polyps in CT colonography Reviewed

Xu, J.-W., Suzuki, K.

Medical Physics   38 ( 4 )   1888 - 1902   2011.3

Development and evaluation of a computer-aided diagnostic scheme for lung nodule detection in chest radiographs by means of two-stage nodule enhancement with support vector classification Reviewed

Chen, S., Suzuki, K., MacMahon, H.

Medical Physics   38 ( 4 )   1844 - 1858   2011.3

Computerized Segmentation of Organs by Means of Geodesic Active-Contour Level-Set Algorithm

Kenji Suzuki

2011.2

Computer-aided detection of polyps in CT colonography with pixel-based machine learning techniques

Xu, J.-W., Suzuki, K.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   7009 LNCS   2011

Massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images

Kenji Suzuki

2011

Machine Learning in Medical Imaging (Lecture Notes in Computer Science: 7009)

Kenji Suzuki

2011

Usefulness of computer-aided diagnosis in CT colonography

Kenji Suzuki, Dachman A. H.

2011

Usefulness of computer-aided diagnosis in CT colonography

Kenji Suzuki

Colonoscopia virtual   2011

A Multilayered Partitioning Image Registration Method for Chest-Radiograph Temporal Subtraction Reviewed

Yu, Q., He, L., Nakamura, T., Kenji Suzuki, Chao, Y.

American Journal of Engineering and Technology Research   Vol. 11   2011

Computer-Aided Detection of Hepatocellular Carcinoma in Multiphase Contrast-Enhanced Hepatic CT: A Preliminary Study Reviewed

Jian-Wu Xu, Kenji Suzuki, Masatoshi Hori, Aytekin Oto, Richard Baron

MEDICAL IMAGING 2011: COMPUTER-AIDED DIAGNOSIS   7963   2011

An Algorithm for Labeling Connected Components and Holes Reviewed

He, L., Chao, Y., K, Suzuki, Yu, Q., Tang, W., Shi, Z.

American Journal of Engineering and Technology Research   11   2149 - 2154   2011

Computer-Aided Diagnosis in Computed Tomographic Colonography

Kenji Suzuki

Atlas of Virtual Colonoscopy   2011

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Suzuki, K., Wang, F., Shen, D., Yan, P.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   7009 LNCS   2011

Massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images

Suzuki, K.

Focus on Artificial Neural Networks   2011

Computerized Segmentation of Organs by Means of Geodesic Active-Contour Level-Set Algorithm

Kenji Suzuki

Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies   2011

False-positive reduction in computer-aided detection of polyps in CT colonography: A massive-training support vector regression approach

Xu, J.-W., Suzuki, K.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   6668 LNCS   2011

Recent advances in reduction of false positives in computerized detection of polyps in CT colonography

Suzuki, K.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   6668 LNCS   2011

Massive-training artificial neural network coupled with laplacian-eigenfunction-based dimensionality reduction for computer-aided detection of polyps in CT colonography Reviewed

Suzuki, K., Zhang, J., Xu, J.

IEEE Transactions on Medical Imaging   29 ( 11 )   1907 - 1917   2010.11

Computer-Aided Diagnosis in Computed Tomographic Colonography

Kenji Suzuki, Dachman Abraham H.

2010.10

Flat lesions in CT colonography Reviewed

Lostumbo, A., Kenji Suzuki, Dachman, A.H.

Abdominal Imaging   Vol. 35 ( No. 5 )   578 - 583   2010.10

A method for enhancing dot-like regions in chest X-rays based on directional scale LoG filter Reviewed

Shi, Z., Bai, J., Kenji Suzuki, He, L., Yao, Q., Nakamura, T.

Journal of Information and Computational Science   Vol. 7 ( No. 8 )   1689 - 1696   2010.8

A Run-based one-and-a-half-scan connected-component labeling algorithm Reviewed

He, L., Chao, Y., Suzuki, K.

International Journal of Pattern Recognition and Artificial Intelligence   24 ( 4 )   557 - 579   2010.6

Computer-aided measurement of liver volumes in CT by means of geodesic active contour segmentation coupled with level-set algorithms Reviewed

Suzuki, K., Kohlbrenner, R., Epstein, M.L., Obajuluwa, A.M., Xu, J., Hori, M.

Medical Physics   37 ( 5 )   2159 - 2166   2010.4

Massive-Training Artificial Neural Networks (MTANN) in Computer-Aided Detection of Colorectal Polyps and Lung Nodules in CT

Kenji Suzuki

2010.2

Hessian Matrix-Based Shape Extraction and Volume Growing for 3D Polyp Segmentation in CT Colonography

Kenji Suzuki

Pattern Recognition Recent Advances   2010.2

Massive-Training Artificial Neural Networks (MTANN) in Computer-Aided Detection of Colorectal Polyps and Lung Nodules in CT

Kenji Suzuki

Machine Learning   2010.2

Hessian Matrix-Based Shape Extraction and Volume Growing for 3D Polyp Segmentation in CT Colonography

Mark L. Epstein, Ivan Sheu, Kenji Suzuki

2010.2

An efficient first-scan method for label-equivalence-based labeling algorithms Reviewed

He, L., Chao, Y., Kenji Suzuki

Pattern Recognition Letters   Vol. 31 ( No. 1 )   28 - 35   2010.1

Comparison of 2D and 3D Views for Evaluation of Flat Lesions in CT Colonography Reviewed

Lostumbo, A., Wanamaker, C., Tsai, J., Suzuki, K., Dachman, A.H.

Academic Radiology   17 ( 1 )   39 - 47   2010.1

A global registration method for temporal subtraction of chest radiographs Reviewed

Lifeng He, Takeshi Inaba, Kenji Suzuki, Kazuhito Murakami, Yuyan Chao, Wei Tang, Zhenghao Shi, Tsuyoshi Nakamura

INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND PATTERN RECOGNITION IN INDUSTRIAL ENGINEERING   7820   2010

Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography

Kenji Suzuki, Jianwu Xu, Jun Zhang, Ivan Sheu

Machine Learning in Medical Imaging   182 - 189   2010

CT colonography: Advanced computer-aided detection scheme utilizing MTANNs for detection of "missed" polyps in a multicenter clinical trial Reviewed

Suzuki, K., Rockey, D.C., Dachman, A.H.

Medical Physics   37 ( 1 )   12 - 21   2010

An efficient run-based connected-component labeling algorithm for three-dimensional binary images Reviewed

Lifeng He, Yuyan Chao, Kenji Suzuki, Wei Tang, Zhenghao Shi, Tsuyoshi Nakamura

INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND PATTERN RECOGNITION IN INDUSTRIAL ENGINEERING   7820   7820291 - 7820298   2010

CT Liver Volumetry Using Geodesic Active Contour Segmentation with A Level-Set Algorithm Reviewed

Kenji Suzuki, Mark L. Epstein, Ryan Kohlbrenner, Ademola Obajuluwa, Jianwu Xu, Masatoshi Hori, Richard Baron

MEDICAL IMAGING 2010: COMPUTER - AIDED DIAGNOSIS   7624   2010

Machine Learning in Medical Imaging (Lecture Notes in Computer Science: 6357)

Kenji Suzuki

2010

TU‐D‐204C‐03: Machine Learning for Medical Image Processing and Pattern Recognition

Suzuki, K.

Medical Physics   37 ( 6 )   3396 - 3396   2010

A high-speed labeling algorithm for three-dimensional binary images Reviewed

Lifeng He, Yuyan Chao, Kenji Suzuki, Tsuyosi Nakamura, Hidenori Itoh

Transactions of IEICE   J92-D ( 12 )   2261 - 2269   2009.12

Performance of Radiologists in Detection of Small Pulmonary Nodules on Chest Radiographs: Effect of Rib Suppression With a Massive-Training Artificial Neural Network Reviewed International journal

Seitaro Oda, Kazuo Awai, Kenji Suzuki, Yumi Yanaga, Yoshinori Funama, Heber MacMahon, Yasuyuki Yamashita

American Journal of Roentgenology   193 ( 5 )   W397 - W402   2009.11

Diffusion-weighted MRI: A new tool for the diagnosis of fistula in ano Reviewed

Hori, M., Oto, A., Orrin, S., Kenji Suzuki, Baron, R.L.

Journal of Magnetic Resonance Imaging   Vol. 30 ( No. 5 )   1021 - 1026   2009.10

A supervised 'lesion-enhancement' filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD) Reviewed

Suzuki, K.

Physics in Medicine and Biology   54 ( 18 )   S31 - S45   2009.9

Fast connected-component labeling Reviewed

He, L., Chao, Y., Suzuki, K., Wu, K.

Pattern Recognition   42 ( 9 )   1977 - 1987   2009.9

A strategy for efficiency improvement of the first-scan in raster-scan-based labeling algorithms Reviewed

Lifeng He, Yuyan Chao, Kenji Suzuki, Tsuyosi Nakamura, Hidenori Itoh

Transactions of IEICE   J92-D ( 6 )   951 - 955   2009.6

Optimizing two-pass connected-component labeling algorithms Reviewed

Wu, K., Otoo, E., Kenji Suzuki

Pattern Analysis and Applications   Vol. 12 ( No. 2 )   117 - 135   2009.6

A label-equivalence-based one-scan labeling algorithm Reviewed

Lifeng He, Yuyan Chao, Kenji Suzuki, Tsuyosi Nakamura, Hidenori Itoh

Journal of Information Processing Society of Japan   50 ( 6 )   1660 - 1667   2009.6

A genetic-algorithm-based temporal subtraction for chest radiographs Reviewed

Inaba, T., He, L., Suzuki, K., Murakami, K., Chao, Y.

Journal of Advanced Computational Intelligence and Intelligent Informatics   13 ( 3 )   289 - 296   2009.5

Survey on Neural Networks Used for Medical Image Processing Reviewed

Shi Z., He L., Nakamura T., Kenji Suzuki, Itoh H.

International Journal of Computational Science   Vol. 3 ( 1 )   86 - 100   2009.2

Computer‐Aided Measurement of Liver Volumes in CT by Means of Fast‐Marching and Level‐Set Segmentation Reviewed

K. Suzuki, R. Kohlbrenner, A. Obajuluwa, M. Epstein, S. Garg, M. Hori, R. Baron

Medical Physics   36 ( 6 )   2805   2009

A run-based one-scan labeling algorithm

He, L., Chao, Y., Suzuki, K., Itoh, H.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   5627 LNCS   2009

Reducing FPs in nodule detection using neural networks ensemble

Zhenghao Shi, Kenji Suzuki, Lifeng He

2nd International Symposium on Information Science and Engineering, ISISE 2009   331 - 333   2009

Image modification and detection using massive training artificial neural networks (MTANN)

Suzuki, Kenji, Doi, Kunio

United States Patent   7545965   2009

Computer‐Aided Diagnostic Scheme for Detection of Hepatocellular Carcinoma in Contrast‐Enhanced Hepatic CT: Preliminary Results Reviewed

Z. Grelewicz, K. Suzuki, R. Kohlbrenner, A. Obajuluwa, E. ng, R. Tompkins, M. Epstein, M. Hori, R. Baron

Medical Physics   36 ( 6 )   2434   2009

A run-based two-scan labeling algorithm Reviewed

He, L., Chao, Y., Suzuki, K.

IEEE Transactions on Image Processing   17 ( 5 )   749 - 756   2008.5

An efficient two-scan connected-component labeling algorithm Reviewed

He, L., Chao, Y., Kenji Suzuki, Nakamura, T., Itoh, H.

Transactions of IEICE   Vol. J91-D ( 4 )   1016 - 1024   2008.4

Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography Reviewed

Suzuki, K., Yoshida, H., N{\"a}ppi, J., Armato III, S.G., Dachman, A.H.

Medical Physics   35 ( 2 )   694 - 703   2008.1

Computer-aided diagnosis

Giger, M.L., Kenji Suzuki

Biomedical Information Technology   2008

Object Location and Track in Image Sequences by Means of Newral Networks Reviewed

Shi, Z., Chao, Y., He, L., Kenji Suzuki, Nakamura, T., Itoh, H.

International Journal of Computational Science   Vol. 2 ( No. 2 )   274 - 285   2008

WE‐C‐332‐09: Effect of Massive‐Training ANNs On the Performance of a CAD System On “missed” Polyps in CT Colonography

Suzuki, K., Zhang, J., Grelewicz, Z., Kuo, J., Rockey, D., Dachman, A.

Medical Physics   35 ( 6 )   2941 - 2941   2008

A High-Speed Run-Based Two-Scan Labeling Algorithm Reviewed

Lifeng He, Yuyan Chao, Kenji Suzuki, Tsuyosi Nakamura, Hidenori Itoh

The Journal of The Institute of Image Information and Television Engineers   62 ( 9 )   1461 - 1465   2008

An Improvement on Sub-Herbrand Universe Computation Reviewed

He, L., Chao, Y., Kenji Suzuki, Shi, Z., Itoh, H.

The Open Artificial Intelligence Journal   Vol. 1 ( 1 )   12 - 18   2007.12

Feature-based characterization of motion-contaminated calcified plaques in cardiac multidetector CT Reviewed

King M., Giger M.L., Suzuki K., Pan X.

Medical Physics   vol. 34 ( no. 12 )   4874 - 4874   2007.12

Computerized assessment of motion-contaminated calcified plaques in cardiac multidetector CT Reviewed

King, M., Giger, M.L., Suzuki, K., Bardo, D.M.E., Greenberg, B., Lan, L., Pan, X.

Medical Physics   34 ( 12 )   4860 - 4860   2007.11

A dual-stage method for lesion segmentation on digital mammograms Reviewed

Yuan, Y., Giger, M.L., Li, H., Suzuki, K., Sennett, C.

Medical Physics   34 ( 11 )   4180 - 4193   2007.10

An improvement of Herbrand's theorem and its application to model generation theorem proving Reviewed

Chao, Y.-Y., He, L.-F., Nakamura, T., Shi, Z.-H., Suzuki, K., Itoh, H.

Journal of Computer Science and Technology   22 ( 4 )   541 - 553   2007.7

CT colonography: False-negative interpretations Reviewed

Doshi, T., Rusinak, D., Halvorsen, R.A., Rockey, D.C., Kenji Suzuki, Dachman, A.H.

Radiology   Vol. 244 ( No. 1 )   165 - 173   2007.7

Determination of subjective similarity for pairs of masses and pairs of clustered microcalcifications on mammograms: Comparison of similarity ranking scores and absolute similarity ratings Reviewed

Muramatsu, C., Li, Q., Schmidt, R.A., Shiraishi, J., Suzuki, K., Newstead, G.M., Doi, K.

Medical Physics   34 ( 7 )   2890 - 2895   2007.6

A run-based two-scan labeling algorithm Reviewed

Lifeng He, Yuyan Chao, Kenji Suzuki

IMAGE ANALYSIS AND RECOGNITION, PROCEEDINGS   4633   131 - +   2007

Computer-Aided Diagnosis (CAD)

Giger, M. L., Suzuki, K.

Biomedical Information Technology   2007

Determination of subjective and objective similarity for pairs of masses on mammograms for selection of similar images Reviewed

Chisako Muramatsu, Qiang Li, Robert A. Schmidt, Junji Shiraishi, Kenji Suzuki, Gillian M. Newstead, Kunio Doi

MEDICAL IMAGING 2007: COMPUTER-AIDED DIAGNOSIS, PTS 1 AND 2   6514   65141I-1 - 65141I-9   2007

Massive-training artificial neural network (MTANN) for reduction of false positives in computer-aided detection of polyps: Suppression of rectal tubes Reviewed

Suzuki, K., Yoshida, H., N{\"a}ppi, J., Dachman, A.H.

Medical Physics   33 ( 10 )   3814 - 3824   2006.9

Experimental determination of subjective similarity for pairs of clustered microcalcifications on mammograms: Observer study results Reviewed

Muramatsu, C., Li, Q., Schmidt, R., Suzuki, K., Shiraishi, J., Newstead, G., Doi, K.

Medical Physics   33 ( 9 )   3460 - 3468   2006.8

Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: Localized search method based on anatomical classification Reviewed

Shiraishi, J., Li, Q., Suzuki, K., Engelmann, R., Doi, K.

Medical Physics   33 ( 7 )   2642 - 2653   2006.6

Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN) Reviewed

Suzuki, K., Abe, H., MacMahon, H., Doi, K.

IEEE Transactions on Medical Imaging   25 ( 4 )   406 - 416   2006.4

TU‐D‐330A‐03: Comparison of Image Segmentation Algorithms On Digitized Mammograms and FFDM Images for CAD

Yuan, Y., Giger, M., li, H., Suzuki, K., Jamieson, A., Sennett, C.

Medical Physics   33 ( 6 )   2006

Comparison between 2D and 3D massive-training ANNs (MTANNs) in CAD for lune nodule defection on MDCT

Suzuki, K., Li, F., Li, Q., MacMahon, H., Doi, K.

International Journal of Computer Assisted Radiology and Surgery   1 ( SUPPL. 7 )   2006

Comparison of computerized image analyses for digitized screen-film mammograms and full-field digital mammography images

Li, H., Giger, M.L., Yuan, Y., Lan, L., Suzuki, K., Jamieson, A., Yarusso, L., Nishikawa, R.M., Sennett, C.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   4046 LNCS   2006

TU‐EE‐A3‐04: Massive Training Artificial Neural Network (MTANN) to Reduce False Positives Due to Rectal Tubes in Computer‐Aided Polyp Detection

Suzuki, K., Yoshida, H., Nappi, J., Armato, S., Dachman, A.

Medical Physics   33 ( 6 )   2208 - 2208   2006

Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization Reviewed

Li, F., Arimura, H., Suzuki, K., Shiraishi, J., Li, Q., Abe, H., Engelmann, R., Sone, S., MacMahon, H., Doi, K.

Radiology   237 ( 2 )   684 - 690   2005.11

Computer-aided diagnosis in thoracic CT Reviewed

Li, Q., Li, F., Kenji Suzuki, Shiraishi, J., Abe, H., Engelmann, R., Nie, Y., MacMahon, H., Doi, K.

Seminars in Ultrasound, CT and MRI   Vol. 26 ( No. 5 )   357 - 363   2005.10

How can a massive training artificial neural network (MTANN) be trained with a small number of cases in the distinction between nodules and vessels in thoracic CT? Reviewed

Suzuki, K., Doi, K.

Academic Radiology   12 ( 10 )   1333 - 1341   2005.10

Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network Reviewed

Suzuki, K., Li, F., Sone, S., Doi, K.

IEEE Transactions on Medical Imaging   24 ( 9 )   1138 - 1150   2005.9

Investigation of psychophysical measure for evaluation of similar images for mammographic masses: Preliminary results Reviewed

Muramatsu, C., Li, Q., Suzuki, K., Schmidt, R.A., Shiraishi, J., Newstead, G.M., Doi, K.

Medical Physics   32 ( 7 )   2295 - 2304   2005.6

False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network Reviewed

Suzuki, K., Shiraishi, J., Abe, H., MacMahon, H., Doi, K.

Academic Radiology   12 ( 2 )   191 - 201   2005.2

Effect of CAD on radiologists' responses in distinction between malignant and benign pulmonary nodules on high-resolution CT Reviewed

Kenji Suzuki, Feng Li, Masahito Aoyama, Junji Shiraishi, Hiroyuki Abe, Qiang Li, Roger Engelmann, Shusuke Sone, Heber MacMahon, Kunio Doi

Progress in Biomedical Optics and Imaging - Proceedings of SPIE   5749   502 - 507   2005

Effect of CAD on radiologists' responses in distinction between malignant and benign pulmonary nodules on high-resolution CT Reviewed

K Suzuki, F Li, M Aoyama, J Shiraishi, H Abe, Q Li, R Engelmann, S Sone, H MacMahon, K Doi

Medical Imaging 2005: Image Perception, Observer Performance, and Technology Assessment   5749   502 - 507   2005

Two Strategies to speed up connected component labeling algorithms

Wu K., Otoo E., Kenji Suzuki

2005

Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs Reviewed

K Suzuki, J Shiraishi, F Li, H Abe, H MacMahon, K Doi

Medical Imaging 2005: Image Processing, Pt 1-3   5747   97 - 103   2005

Determining the receptive field of a neural filter Reviewed

Kenji Suzuki

Journal of Neural Engineering   Vol. 1 ( No. 4 )   228 - 237   2004.12

人工ニューラルネットによる学習型非線形画像処理：ニューラル画像処理の基礎と応用

鈴木賢治

核医学技術   vol. 24 ( no. 5 )   433 - 443   2004.12

Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy Reviewed

Li, F., Aoyama, M., Shiraishi, J., Abe, H., Li, Q., Suzuki, K., Engelmann, R., Sone, S., MacMahon, H., Doi, K.

American Journal of Roentgenology   183 ( 5 )   1209 - 1215   2004.11

Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening Reviewed

Arimura, H., Katsuragawa, S., Suzuki, K., Li, F., Shiraishi, J., Sone, S., Doi, K.

Academic Radiology   11 ( 6 )   617 - 629   2004.6

Characteristics of a massive training artificial neural network in the distinction between lung nodules and vessels in CT images Reviewed

Suzuki, K., Doi, K.

International Congress Series   1268 ( C )   923 - 928   2004.6

Usefulness of computerized scheme for differentiating benign from malignant lung nodules on high-resolution CT Reviewed

Li, F., Li, Q., Aoyama, M., Shiraishi, J., Abe, H., Suzuki, K., Engelmann, R., Sone, S., MacMahon, H., Doi, K.

International Congress Series   1268 ( C )   946 - 951   2004.6

Extraction of Left Ventricular Contours From Left Ventriculograms by Means of a Neural Edge Detector Reviewed

Suzuki, K., Horiba, I., Sugie, N., Nanki, M.

IEEE Transactions on Medical Imaging   23 ( 3 )   330 - 339   2004.3

Method of training massive training artificial neural network (MTANN) for the detection of abnormalities in medical images

Suzuki, Kenji, Doi, Kunio

United States Patent   6754380   2004

Data : Report from the JSRT Sectional Committee on Medical imaging "Recommended References on Radiological Imaging Research"

SHIRAISHI JUNJI

Japanese Journal of Radiological Technology   60 ( 8 )   1085 - 1100   2004

Massive training artificial neural network (MTANN) for detecting abnormalities in medical images

Suzuki, Kenji, Doi, Kunio

United States Patent   6819790   2004

Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images Reviewed

Kenji Suzuki, Horiba, I., Sugie, N.

IEEE Transactions on Pattern Analysis and Machine Intelligence   Vol. 25 ( No. 12 )   1582 - 1596   2003.12

Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography Reviewed

Uchiyama, Y., Katsuragawa, S., Abe, H., Shiraishi, J., Li, F., Li, Q., Zhang, C.-T., Suzuki, K., Doi, K.

Medical Physics   30 ( 9 )   2440 - 2454   2003.8

Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography Reviewed

Suzuki, K., Armato III, S.G., Li, F., Sone, S., Doi, K.

Medical Physics   30 ( 7 )   1602 - 1617   2003.6

ニューラルエッジ検出器によるノイズに埋もれた画像からのエッジ検出 Reviewed

鈴木賢治, 堀場勇夫, 杉江昇

電子情報通信学会論文誌 D-2   vol. J86-D-2 ( no. 4 )   579 - 583   2003.4

Contour extraction of left ventricular cavity from digital subtraction angiograms using a neural edge detector Reviewed

Suzuki, K., Horiba, I., Sugie, N., Nanki, M.

Systems and Computers in Japan   34 ( 2 )   55 - 69   2003.1

Linear-time connected-component labeling based on sequential local operations Reviewed

Suzuki, K., Horiba, I., Sugie, N.

Computer Vision and Image Understanding   89 ( 1 )   1 - 23   2003.1

Neural filter with selection of input features and its application to image quality improvement of medical image sequences Reviewed

Suzuki, K., Horiba, I., Sugie, N., Nanki, M.

IEICE Transactions on Information and Systems   E85-D ( 10 )   1710 - 1718   2002.10

平滑化 ，エッジ保存平滑化，ぼけ復元，焦点，動き，画像復元

鈴木賢治

2002.7

Efficient approximation of neural filters for removing quantum noise from images Reviewed

Kenji Suzuki, Horiba, I., Sugie, N.

IEEE Transactions on Signal Processing   Vol. 50 ( No. 7 )   1787 - 1799   2002.7

平滑化 ，エッジ保存平滑化，ぼけ復元，焦点，動き，画像復元

Kenji Suzuki

認知科学辞典   2002

Sound Source Separation in the Frequency Domain with Image Processing Reviewed

NINAGAWA Kazuhiro, UMEYAMA Takashi, SUZUKI Kenji, SUGIE Noboru

The Transactions of the Institute of Electrical Engineers of Japan. C   121-C ( 12 )   1866 - 1874   2001.12

入力特徴量の自動選択をともなうニューラルフィルタによる医用X線動画像の画質改善

鈴木賢治, 堀場勇夫, 杉江昇, 南木道生

情報処理学会論文誌   vol. 42 ( no. 8 )   2001.8

Improving Image Quality of Medical X-ray Image Sequences Using a Neural Filter with Selection of Input Features Reviewed

SUZUKI Kenji, HORIBA Isao, SUGIE Noboru, NANKI Michio

Transactions of Information Processing Society of Japan   42 ( 8 )   2176 - 2188   2001.8

A simple neural network pruning algorithm with application to filter synthesis Reviewed

Kenji Suzuki, Horiba, I., Sugie, N.

Neural Processing Letters   Vol. 13 ( No. 1 )   43 - 53   2001.2

Computer-aided diagnosis system for coronary artery stenosis using a neural network

Suzuki, K., Horiba, I., Sugie, N., Nanki, M.

Proceedings of SPIE - The International Society for Optical Engineering   4322 ( 3 )   2001

Extraction of the contours of left ventricular cavity, according with those traced by medical doctors, from left ventriculograms using a neural edge detector

Suzuki, K., Horiba, I., Sugie, N., Nanki, M.

Proceedings of SPIE - The International Society for Optical Engineering   4322 ( 3 )   2001

Neural edge detector - A good mimic of conventional one yet robuster against noise

Suzuki, K., Horiba, I., Sugie, N.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   2085 LNCS ( PART 2 )   2001

Fast Connected-Component Labeling through Sequential Local Operations in the Course of Forward Raster Scan Followed by Backward Raster Scan

SUZUKI Kenji, HORIBA Isao, SUGIE Noboru

Transactions of Information Processing Society of Japan   41 ( 11 )   3070 - 3081   2000.11

ニューラルエッジ検出器を利用したDSAにおける左心室の輪郭抽出 Reviewed

鈴木賢治, 堀場勇夫, 杉江昇, 南木道生

電子情報通信学会論文誌 D   vol. J83-D2 ( no. 10 )   2017 - 2029   2000.10