Kenji Suzuki

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 28

Top Venues

SMC

ISBI

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Processing

Publications

Shogo Kodera, Wahyu Rahmaniar, Hiroko Oshibe, Ze Jin, Takeyuki Watadani, Osamu Abe, Kenji Suzuki
Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database. IVSP (2024)
Zhipeng Deng, Yuqiao Yang, Kenji Suzuki
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification. CoRR (2024)
Wahyu Rahmaniar, Kenji Suzuki, Ting-Lan Lin
Auto-CA: Automated Cobb Angle Measurement Based on Vertebrae Detection for Assessment of Spinal Curvature Deformity. IEEE Trans. Biomed. Eng. 71 (2) (2024)
Ze Jin, Maolin Pang, Yuqiao Yang, Fahad Parvez Mahdi, Tianyi Qu, Ren Sasage, Kenji Suzuki
Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models. MICCAI (2) (2023)
Kenji Suzuki, Abraham H. Dachman
ROC-Score-Based Ensemble Training for Multiple Deep Learning Modules in Classification Between Polyps and Non-Polyps in CT Colonography. SMC (2023)
Zhipeng Deng, Ze Jin, Kenji Suzuki
Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels. EMBC (2023)
Zhipeng Deng, Yuqiao Yang, Kenji Suzuki, Ze Jin
FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis. SMC (2022)
Yuqiao Yang, Ze Jin, Kenji Suzuki
Federated Tumor Segmentation with Patch-Wise Deep Learning Model. MLMI@MICCAI (2022)
Maodong Xiang, Ze Jin, Kenji Suzuki
Massive-Training Artificial Neural Network (Mtann) With Special Kernel For Artifact Reduction In Fast-Acquisition Mri Of The Knee. ISBI (2021)
Muneyuki Sato, Ze Jin, Kenji Suzuki
Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size. ISBI (2021)
Miguel Martínez-García, Yu Zhang, Kenji Suzuki, Yudong Zhang
Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring. IEEE Trans. Ind. Informatics 17 (2) (2021)
Yuchen Wang, Ze Jin, Yukiko Tokuda, Yasuto Naoi, Noriyuki Tomiyama, Kenji Suzuki
Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution. ICCPR (2019)
Zhenghao Shi, Huan Hao, Minghua Zhao, Yaning Feng, Lifeng He, Yinghui Wang, Kenji Suzuki
A deep CNN based transfer learning method for false positive reduction. Multim. Tools Appl. 78 (1) (2019)
Miguel Martínez-García, Yu Zhang, Kenji Suzuki, Yudong Zhang
Measuring System Entropy with a Deep Recurrent Neural Network Model. INDIN (2019)
Amin Zarshenas, Junchi Liu, Paul Forti, Kenji Suzuki
Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs. SMC (2018)
Nazanin Makkinejad, Nima Tajbakhsh, Amin Zarshenas, Ashfaq A. Khokhar, Kenji Suzuki
Reduction in training time of a deep learning model in detection of lesions in CT. Medical Imaging: Computer-Aided Diagnosis (2018)
Junchi Liu, Amin Zarshenas, Ammar Qadir, Zheng Wei, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing. Medical Imaging: Image Processing (2018)
Noriaki Hashimoto, Kenji Suzuki, Junchi Liu, Yasushi Hirano, Heber MacMahon, Shoji Kido
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. Medical Imaging: Computer-Aided Diagnosis (2018)
Junchi Liu, Amin Zarshenas, Syed Ammar Qadir, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning. IWBI (2018)
Amin Zarshenas, Kenji Suzuki
Deep Neural Network Convolution for Natural Image Denoising. SMC (2018)
Yisong Chen, Antoni B. Chan, Zhouchen Lin, Kenji Suzuki, Guoping Wang
Efficient tree-structured SfM by RANSAC generalized Procrustes analysis. Comput. Vis. Image Underst. 157 (2017)
Hieu Trung Huynh, Ngoc Le-Trong, Pham The Bao, Aytek Oto, Kenji Suzuki
Fully automated MR liver volumetry using watershed segmentation coupled with active contouring. Int. J. Comput. Assist. Radiol. Surg. 12 (2) (2017)
Kenji Suzuki, Luping Zhou, Qian Wang
Machine learning in medical imaging. Pattern Recognit. 63 (2017)
Kenji Suzuki, Junchi Liu, Amin Zarshenas, Toru Higaki, Wataru Fukumoto, Kazuo Awai
Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images. MLMI@MICCAI (2017)
Ayman El-Baz, Georgy L. Gimel'farb, Kenji Suzuki
Machine Learning Applications in Medical Image Analysis. Comput. Math. Methods Medicine 2017 (2017)
Nima Tajbakhsh, Kenji Suzuki
Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs. Pattern Recognit. 63 (2017)
Lifeng He, Xiao Zhao, Bin Yao, Yun Yang, Yuyan Chao, Zhenghao Shi, Kenji Suzuki
A combinational algorithm for connected-component labeling and Euler number computing. J. Real Time Image Process. 13 (4) (2017)
Amin Zarshenas, Kenji Suzuki
Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning. Knowl. Based Syst. 110 (2016)
Dinggang Shen, Guorong Wu, Daoqiang Zhang, Kenji Suzuki, Fei Wang, Pingkun Yan
Machine learning in medical imaging. Comput. Medical Imaging Graph. 41 (2015)
Kenji Suzuki, Mohammadamin Zarshenas, Junchi Liu, Yonghui Fan, Nazanin Makkinejad, Paul Forti, Abraham H. Dachman
Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection. SMC (2015)
Jianwu Xu, Kenji Suzuki
Max-AUC Feature Selection in Computer-Aided Detection of Polyps in CT Colonography. IEEE J. Biomed. Health Informatics 18 (2) (2014)
Lifeng He, Xiao Zhao, Yuyan Chao, Kenji Suzuki
Configuration-Transition-Based Connected-Component Labeling. IEEE Trans. Image Process. 23 (2) (2014)
Fei Zuo, Jungong Han, Pingkun Yan, Hans C. van Assen, Kenji Suzuki
Guest Editorial: Special issue on advanced computing for image-guided intervention. Neurocomputing 144 (2014)
Rie Tanaka, Shigeru Sanada, Makoto Oda, M. Mitsutaka, Kenji Suzuki, Keita Sakuta, Hiroki Kawashima
Quantitative analysis of rib movement based on dynamic chest bone images: preliminary results. Medical Imaging: Image Processing (2014)
Sheng Chen, Kenji Suzuki
Separation of Bones From Chest Radiographs by Means of Anatomically Specific Multiple Massive-Training ANNs Combined With Total Variation Minimization Smoothing. IEEE Trans. Medical Imaging 33 (2) (2014)
Kenji Suzuki
Mining of Training Samples for Multiple Learning Machines in Computer-Aided Detection of Lesions in CT Images. ICDM Workshops (2014)
Guo Cao, Yazhou Liu, Kenji Suzuki
A new method for false-positive reduction in detection of lung nodules in CT images. DSP (2014)
Kenji Suzuki
Machine Learning in Computer-Aided Diagnosis of the Thorax and Colon in CT: A Survey. IEICE Trans. Inf. Syst. (4) (2013)
Pingkun Yan, Kenji Suzuki, Fei Wang, Dinggang Shen
Machine learning in medical imaging. Mach. Vis. Appl. 24 (7) (2013)
Kenji Suzuki, Hieu Trung Huynh, Yi-Peng Liu, Dominic Calabrese, Karen Zhou, Aytekin Oto, Masatoshi Hori
Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring. EMBC (2013)
Sheng Chen, Kenji Suzuki
Computerized Detection of Lung Nodules by Means of "Virtual Dual-Energy" Radiography. IEEE Trans. Biomed. Eng. 60 (2) (2013)
Ayman El-Baz, Garth M. Beache, Georgy L. Gimel'farb, Kenji Suzuki, Kazunori Okada
Lung Imaging Data Analysis. Int. J. Biomed. Imaging 2013 (2013)
Ayman El-Baz, Garth M. Beache, Georgy L. Gimel'farb, Kenji Suzuki, Kazunori Okada, Ahmed Elnakib, Ahmed Soliman, Behnoush Abdollahi
Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies. Int. J. Biomed. Imaging 2013 (2013)
Kenji Suzuki, Masatoshi Hori, Gen Iinuma, Abraham H. Dachman
Effect of CADe on radiologists' performance in detection of "difficult" polyps in CT colonography. Medical Imaging: Computer-Aided Diagnosis (2013)
Lifeng He, Yuyan Chao, Kenji Suzuki
An Algorithm for Connected-Component Labeling, Hole Labeling and Euler Number Computing. J. Comput. Sci. Technol. 28 (3) (2013)
Lifeng He, Yuyan Chao, Kenji Suzuki
A new algorithm for labeling connected-components and calculating the Euler number, connected-component number, and hole number. ICPR (2012)
Lifeng He, Yuyan Chao, Kenji Suzuki
A New First-Scan Method for Two-Scan Labeling Algorithms. IEICE Trans. Inf. Syst. (8) (2012)
Qian Yu, Lifeng He, Tsuyoshi Nakamura, Yuyan Chao, Kenji Suzuki
A Mutual-Information-Based Global Matching Method for Chest-Radiography Temporal Subtraction. J. Adv. Comput. Intell. Intell. Informatics 16 (7) (2012)
Kenji Suzuki
Pixel-Based Machine Learning in Medical Imaging. Int. J. Biomed. Imaging 2012 (2012)
Kenji Suzuki, Pingkun Yan, Fei Wang, Dinggang Shen
Machine Learning in Medical Imaging. Int. J. Biomed. Imaging 2012 (2012)
Jianwu Xu, Kenji Suzuki
Computer-aided detection of polyps in CT colonography by means of AdaBoost. Medical Imaging: Computer-Aided Diagnosis (2012)
Sheng Chen, Kenji Suzuki
Bone suppression in chest radiographs by means of anatomically specific multiple massive-training ANNs. ICPR (2012)
Jianwu Xu, Kenji Suzuki
Maximal partial AUC feature selection in computer-aided detection of hepatocellular carcinoma in contrast-enhanced hepatic CT. Medical Imaging: Computer-Aided Diagnosis (2012)
Kenji Suzuki, Samuel G. Armato III, Roger Engelmann, Philip Caligiuri, Heber MacMahon
Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes. Medical Imaging: Computer-Aided Diagnosis (2011)
Jianwu Xu, Kenji Suzuki
Computer-aided detection of hepatocellular carcinoma in hepatic CT: False positive reduction with feature selection. ISBI (2011)
Sophia Chen, Kenji Suzuki, Heber MacMahon
Improved computerized detection of lung nodules in chest radiographs by means of 'virtual dual-energy' radiography. Medical Imaging: Computer-Aided Diagnosis (2011)
Francis O. Ferraro, Emily Kawaler, Kenji Suzuki
A spinning tangent based CAD system for detection of flat lesions in CT colonography. ISBI (2011)
Jianwu Xu, Kenji Suzuki
Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques. MLMI (2011)
Lifeng He, Yuyan Chao, Kenji Suzuki
Two Efficient Label-Equivalence-Based Connected-Component Labeling Algorithms for 3-D Binary Images. IEEE Trans. Image Process. 20 (8) (2011)
Jianwu Xu, Kenji Suzuki, Masatoshi Hori, Aytekin Oto, Richard Baron
Computer-aided detection of hepatocellular carcinoma in multiphase contrast-enhanced hepatic CT: a preliminary study. Medical Imaging: Computer-Aided Diagnosis (2011)
Lifeng He, Yuyan Chao, Kenji Suzuki
A Run-Based One-and-a-Half-Scan Connected-Component Labeling Algorithm. Int. J. Pattern Recognit. Artif. Intell. 24 (4) (2010)
Kenji Suzuki, Jianwu Xu, Jun Zhang, Ivan Sheu
Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography. MLMI (2010)
Kenji Suzuki
Recent Advances in Reduction of False Positives in Computerized Detection of Polyps in CT Colonography. Virtual Colonoscopy and Abdominal Imaging (2010)
Jianwu Xu, Kenji Suzuki
False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector Regression Approach. Virtual Colonoscopy and Abdominal Imaging (2010)
Kenji Suzuki, Mark L. Epstein, Ryan Kohlbrenner, Ademola Obajuluwa, Jianwu Xu, Masatoshi Hori, Richard Baron
CT liver volumetry using geodesic active contour segmentation with a level-set algorithm. Medical Imaging: Computer-Aided Diagnosis (2010)
Kenji Suzuki, Mark L. Epstein, Jianwu Xu, Piotr Obara, Don C. Rockey, Abraham H. Dachman
Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing. Medical Imaging: Computer-Aided Diagnosis (2010)
Kenji Suzuki, Jun Zhang, Jianwu Xu
Massive-Training Artificial Neural Network Coupled With Laplacian-Eigenfunction-Based Dimensionality Reduction for Computer-Aided Detection of Polyps in CT Colonography. IEEE Trans. Medical Imaging 29 (11) (2010)
Lifeng He, Yuyan Chao, Kenji Suzuki
An efficient first-scan method for label-equivalence-based labeling algorithms. Pattern Recognit. Lett. 31 (1) (2010)
Kesheng Wu, Ekow J. Otoo, Kenji Suzuki
Optimizing two-pass connected-component labeling algorithms. Pattern Anal. Appl. 12 (2) (2009)
Kenji Suzuki, Ivan Sheu, Don C. Rockey, Abraham H. Dachman
A CAD utilizing 3D massive-training ANNs for detection of flat lesions in CT colonography: preliminary results. Medical Imaging: Computer-Aided Diagnosis (2009)
Lifeng He, Yuyan Chao, Kenji Suzuki, Kesheng Wu
Fast connected-component labeling. Pattern Recognit. 42 (9) (2009)
Takeshi Inaba, Lifeng He, Kenji Suzuki, Kazuhito Murakami, Yuyan Chao
A Genetic-Algorithm-Based Temporal Subtraction for Chest Radiographs. J. Adv. Comput. Intell. Intell. Informatics 13 (3) (2009)
Lifeng He, Yuyan Chao, Kenji Suzuki, Hidenori Itoh
A Run-Based One-Scan Labeling Algorithm. ICIAR (2009)
Kenji Suzuki
Segmentation of Lesions with Improved Specificity in Computer-Aided Diagnosis Using a Massive-Training Artificial Neural Network (MTANN). ICMLA (2008)
Kenji Suzuki, Ivan Sheu, Mark L. Epstein, Ryan Kohlbrenner, Antonella Lostumbo, Don C. Rockey, Abraham H. Dachman
An MTANN CAD for detection of polyps in false-negative CT colonography cases in a large multicenter clinical trial: preliminary results. Medical Imaging: Computer-Aided Diagnosis (2008)
Kenji Suzuki, Zhenghao Shi, Jun Zhang
Supervised enhancement of lung nodules by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD). ICPR (2008)
Kenji Suzuki, Mark L. Epstein, Ivan Sheu, Ryan Kohlbrenner, Don C. Rockey, Abraham H. Dachman
Massive-training artificial neural networks for CAD for detection of polyps in CT colonography: False-negative cases in a large multicenter clinical trial. ISBI (2008)
Zachary B. Rodgers, Martin King, Maryellen L. Giger, Michael W. Vannier, Dianna M. E. Bardo, Kenji Suzuki, Li Lan
Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom. Medical Imaging: Computer-Aided Diagnosis (2008)
Lifeng He, Yuyan Chao, Kenji Suzuki
A Run-Based Two-Scan Labeling Algorithm. IEEE Trans. Image Process. 17 (5) (2008)
Chisako Muramatsu, Qiang Li, Robert A. Schmidt, Junji Shiraishi, Kenji Suzuki, Gillian M. Newstead, Kunio Doi
Determination of subjective and objective similarity for pairs of masses on mammograms for selection of similar images. Medical Imaging: Computer-Aided Diagnosis (2007)
Kenji Suzuki, Lifeng He, Shweta Khankari, Liang Ge, Joel Verceles, Abraham H. Dachman
Mixture of expert artificial neural networks with ensemble training for reduction of various sources of false positives in CAD. Medical Imaging: Computer-Aided Diagnosis (2007)
Martin King, Maryellen L. Giger, Kenji Suzuki, Xiaochuan Pan
Computer-aided assessment of cardiac computed tomographic images. Medical Imaging: Computer-Aided Diagnosis (2007)
Lifeng He, Yuyan Chao, Kenji Suzuki
A Linear-Time Two-Scan Labeling Algorithm. ICIP (5) (2007)
Yuyan Chao, Lifeng He, Tsuyoshi Nakamura, Zhenghao Shi, Kenji Suzuki, Hidenori Itoh
An Improvement of Herbrand's Theorem and Its Application to Model Generation Theorem Proving. J. Comput. Sci. Technol. 22 (4) (2007)
Lifeng He, Yuyan Chao, Kenji Suzuki
A Run-Based Two-Scan Labeling Algorithm. ICIAR (2007)
Kenji Suzuki, Hiroyuki Abe, Heber MacMahon, Kunio Doi
Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Trans. Medical Imaging 25 (4) (2006)
Yading Yuan, Maryellen L. Giger, Kenji Suzuki, Hui Li, Andrew R. Jamieson
A two-stage method for lesion segmentation on digital mammograms. Medical Imaging: Image Processing (2006)
Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew R. Jamieson, Laura Yarusso, Robert M. Nishikawa, Charlene A. Sennett
Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. Digital Mammography / IWDM (2006)
Kenji Suzuki, Feng Li, Shusuke Sone, Kunio Doi
Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network. IEEE Trans. Medical Imaging 24 (9) (2005)
Kenji Suzuki, Junji Shiraishi, Feng Li, Hiroyuki Abe, Heber MacMahon, Kunio Doi
Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs. Medical Imaging: Image Processing (2005)
Feng Li, Qiang Li, Masahito Aoyama, Junji Shiraishi, Hiroyuki Abe, Kenji Suzuki, Roger Engelmann, Shusuke Sone, Heber MacMahon, Kunio Doi
Usefulness of computerized scheme for differentiating benign from malignant lung nodules on high-resolution CT. CARS (2004)
Kenji Suzuki, Isao Horiba, Noboru Sugie, Michio Nanki
Extraction of left ventricular contours from left ventriculograms by means of a neural edge detector. IEEE Trans. Medical Imaging 23 (3) (2004)
Kenji Suzuki, Kunio Doi
Characteristics of a massive training artificial neural network in the distinction between lung nodules and vessels in CT images. CARS (2004)
Kenji Suzuki, Hiroyuki Abe, Feng Li, Kunio Doi
Suppression of the contrast of ribs in chest radiographs by means of massive training artificial neural network. Medical Imaging: Image Processing (2004)
Kenji Suzuki, Isao Horiba, Noboru Sugie
Linear-time connected-component labeling based on sequential local operations. Comput. Vis. Image Underst. 89 (1) (2003)
Kenji Suzuki, Isao Horiba, Noboru Sugie, Michio Nanki
Contour extraction of left ventricular cavity from digital subtraction angiograms using a neural edge detector. Systems and Computers in Japan 34 (2) (2003)
Kenji Suzuki, Samuel G. Armato, Feng Li, Shusuke Sone, Kunio Doi
Effect of a small number of training cases on the performance of massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose CT. Medical Imaging: Image Processing (2003)
Kenji Suzuki, Isao Horiba, Noboru Sugie
Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images. IEEE Trans. Pattern Anal. Mach. Intell. 25 (12) (2003)
Kenji Suzuki, Isao Horiba, Noboru Sugie
Efficient approximation of neural filters for removing quantum noise from images. IEEE Trans. Signal Process. 50 (7) (2002)
Kenji Suzuki, Isao Horiba, Noboru Sugie, Michio Nanki
Extraction of the contours of left ventricular cavity according with those traced by medical doctors from left ventriculograms using a neural edge detector. Medical Imaging: Image Processing (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kenji Suzuki