Kenji Suzuki - RankMe

135 papers A* 2B 20C 2Journal 54Unranked 50

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-AD: Cross-Domain Unsupervised Anomaly Detection for Medical and Industrial Applications. CoRR Wahyu Rahmaniar, Kenji Suzuki
2026	J	`jnl`	Multi-AD: cross-domain unsupervised anomaly detection for medical and industrial applications. Pattern Recognit. Wahyu Rahmaniar, Kenji Suzuki
2025	A*	`conf`	BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs. AAAI Haolin Wang, Yafei Ou, Prasoon Ambalathankandy, Gen Ota, Pengyu Dai, Masayuki Ikebe, Kenji Suzuki, Tamotsu Kamishima
2025	J	`jnl`	Future of the Medical World: Collaborative Medical Imaging AI With Federated Learning. IEEE Consumer Electron. Mag. Wahyu Rahmaniar, Zhipeng Deng, Yuqiao Yang, Ze Jin, Kenji Suzuki
2025	—	`conf`	GoCa: Trustworthy Multi-modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs. MICCAI (14) Pengyu Dai, Yafei Ou, Yuqiao Yang, Ze Jin, Kenji Suzuki
2025	J	`jnl`	Layer Separation: Adjustable Joint Space Width Images Synthesis in Conventional Radiography. CoRR Haolin Wang, Yafei Ou, Prasoon Ambalathankandy, Gen Ota, Pengyu Dai, Masayuki Ikebe, Kenji Suzuki, Tamotsu Kamishima
2025	A*	`conf`	Layer Separation: Towards Adjustable Joint Space Width Images Synthesis. ACM Multimedia Haolin Wang, Yafei Ou, Prasoon Ambalathankandy, Gen Ota, Pengyu Dai, Masayuki Ikebe, Kenji Suzuki, Tamotsu Kamishima
2025	J	`jnl`	Patch-Based Deep-Learning Model With Limited Training Dataset for Liver Tumor Segmentation in Contrast-Enhanced Hepatic Computed Tomography. IEEE Access Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki
2024	—	`conf`	"Small-data" Patch-wise Multi-dimensional Output Deep-learning for Rare Cancer Diagnosis in MRI under Limited Sample-size Situation. ISBI Yuqiao Yang, Ze Jin, Fumihiko Nakatani, Mototaka Miyake, Kenji Suzuki
2024	J	`jnl`	Auto-CA: Automated Cobb Angle Measurement Based on Vertebrae Detection for Assessment of Spinal Curvature Deformity. IEEE Trans. Biomed. Eng. Wahyu Rahmaniar, Kenji Suzuki, Ting-Lan Lin
2024	J	`jnl`	BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs. CoRR Haolin Wang, Yafei Ou, Prasoon Ambalathankandy, Gen Ota, Pengyu Dai, Masayuki Ikebe, Kenji Suzuki, Tamotsu Kamishima
2024	J	`jnl`	Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification. CoRR Zhipeng Deng, Yuqiao Yang, Kenji Suzuki
2024	J	`jnl`	MDA: An Interpretable Multi-Modal Fusion with Missing Modalities and Intrinsic Noise. CoRR Lin Fan, Yafei Ou, Cenyang Zheng, Pengyu Dai, Tamotsu Kamishima, Masayuki Ikebe, Kenji Suzuki, Xun Gong
2024	—	`conf`	SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography. MICCAI (11) Pengyu Dai, Yafei Ou, Yuqiao Yang, Dichao Liu, Masahiro Hashimoto, Masahiro Jinzaki, Mototaka Miyake, Kenji Suzuki
2024	—	`conf`	Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database. IVSP Shogo Kodera, Wahyu Rahmaniar, Hiroko Oshibe, Ze Jin, Takeyuki Watadani, Osamu Abe, Kenji Suzuki
2023	—	`conf`	Detection and Correction of Defective Relative Humidity Data Collected from the Greenhouse Environment Using Nested Kalman Filters with Standard Deviation Analysis. APSIPA ASC Kraithep Sirisanwannakul, Nutchanon Siripool, Kenji Suzuki, Waree Kongprawechnon, Jessada Karnjana
2023	—	`conf`	Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models. MICCAI (2) Ze Jin, Maolin Pang, Yuqiao Yang, Fahad Parvez Mahdi, Tianyi Qu, Ren Sasage, Kenji Suzuki
2023	—	`conf`	Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networks. Digital and Computational Pathology Xu Lei, Fahad Parvez Mahdi, Ze Jin, Hao Sun, Yoshiyuki Noguchi, Masayuki Murata, Kenji Suzuki
2023	J	`jnl`	Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN. IEEE Access Srisopitsawat Pavarut, Wongsakorn Preedanan, Itsuo Kumazawa, Kenji Suzuki, Masaki Kobayashi, Hajime Tanaka, Junichiro Ishioka, Yoh Matsuoka, Yasuhisa Fujii
2023	B	`conf`	ROC-Score-Based Ensemble Training for Multiple Deep Learning Modules in Classification Between Polyps and Non-Polyps in CT Colonography. SMC Kenji Suzuki, Abraham H. Dachman
2023	—	`conf`	Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels. EMBC Zhipeng Deng, Ze Jin, Kenji Suzuki
2023	J	`jnl`	Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach. IEEE Access Wongsakorn Preedanan, Kenji Suzuki, Toshiaki Kondo, Masaki Kobayashi, Hajime Tanaka, Junichiro Ishioka, Yoh Matsuoka, Yasuhisa Fujii, Itsuo Kumazawa
2022	—	`conf`	Action unit detection by exploiting spatial-temporal and label-wise attention with transformer. CVPR Workshops Lingfeng Wang, Jin Qi, Jian Cheng, Kenji Suzuki
2022	B	`conf`	FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis. SMC Zhipeng Deng, Yuqiao Yang, Kenji Suzuki, Ze Jin
2022	—	`conf`	Federated Tumor Segmentation with Patch-Wise Deep Learning Model. MLMI@MICCAI Yuqiao Yang, Ze Jin, Kenji Suzuki
2022	J	`jnl`	Improvement of Urinary Stone Segmentation Using GAN-Based Urinary Stones Inpainting Augmentation. IEEE Access Wongsakorn Preedanan, Kenji Suzuki, Toshiaki Kondo, Masaki Kobayashi, Hajime Tanaka, Junichiro Ishioka, Yoh Matsuoka, Yasuhisa Fujii, Itsuo Kumazawa
2022	B	`conf`	JPG - Jointly Learn to Align: Automated Disease Prediction and Radiology Report Generation. COLING Jingyi You, Dongyuan Li, Manabu Okumura, Kenji Suzuki
2022	—	`conf`	Small Data Deep Learning for Lung Cancer Detection in CT. BigDataService Kenji Suzuki
2021	—	`conf`	A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis. ICCVW Lingfeng Wang, Shisen Wang, Jin Qi, Kenji Suzuki
2021	J	`jnl`	Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring. IEEE Trans. Ind. Informatics Miguel Martínez-García, Yu Zhang, Kenji Suzuki, Yudong Zhang
2021	—	`conf`	Massive-Training Artificial Neural Network (Mtann) With Special Kernel For Artifact Reduction In Fast-Acquisition Mri Of The Knee. ISBI Maodong Xiang, Ze Jin, Kenji Suzuki
2021	—	`conf`	Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size. ISBI Muneyuki Sato, Ze Jin, Kenji Suzuki
2019	J	`jnl`	A deep CNN based transfer learning method for false positive reduction. Multim. Tools Appl. Zhenghao Shi, Huan Hao, Minghua Zhao, Yaning Feng, Lifeng He, Yinghui Wang, Kenji Suzuki
2019	—	`conf`	Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution. ICCPR Yuchen Wang, Ze Jin, Yukiko Tokuda, Yasuto Naoi, Noriyuki Tomiyama, Kenji Suzuki
2019	—	`ed.`	Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings iMIMIC/ML-CDS@MICCAI Kenji Suzuki, Mauricio Reyes, Tanveer F. Syeda-Mahmood, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi
2019	C	`conf`	Measuring System Entropy with a Deep Recurrent Neural Network Model. INDIN Miguel Martínez-García, Yu Zhang, Kenji Suzuki, Yudong Zhang
2018	B	`conf`	Deep Neural Network Convolution for Natural Image Denoising. SMC Amin Zarshenas, Kenji Suzuki
2018	—	`conf`	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. Computer-Aided Diagnosis Noriaki Hashimoto, Kenji Suzuki, Junchi Liu, Yasushi Hirano, Heber MacMahon, Shoji Kido
2018	B	`conf`	Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs. SMC Amin Zarshenas, Junchi Liu, Paul Forti, Kenji Suzuki
2018	B	`conf`	Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing. Image Processing Junchi Liu, Amin Zarshenas, Ammar Qadir, Zheng Wei, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki
2018	—	`conf`	Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning. IWBI Junchi Liu, Amin Zarshenas, Syed Ammar Qadir, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki
2018	—	`conf`	Reduction in training time of a deep learning model in detection of lesions in CT. Computer-Aided Diagnosis Nazanin Makkinejad, Nima Tajbakhsh, Amin Zarshenas, Ashfaq Khokhar, Kenji Suzuki
2017	J	`jnl`	A combinational algorithm for connected-component labeling and Euler number computing. J. Real Time Image Process. Lifeng He, Xiao Zhao, Bin Yao, Yun Yang, Yuyan Chao, Zhenghao Shi, Kenji Suzuki
2017	J	`jnl`	Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs. Pattern Recognit. Nima Tajbakhsh, Kenji Suzuki
2017	J	`jnl`	Efficient tree-structured SfM by RANSAC generalized Procrustes analysis. Comput. Vis. Image Underst. Yisong Chen, Antoni B. Chan, Zhouchen Lin, Kenji Suzuki, Guoping Wang
2017	J	`jnl`	Fully automated MR liver volumetry using watershed segmentation coupled with active contouring. Int. J. Comput. Assist. Radiol. Surg. Hieu Trung Huynh, Ngoc Le-Trong, Pham The Bao, Aytek Oto, Kenji Suzuki
2017	J	`jnl`	Machine Learning Applications in Medical Image Analysis. Comput. Math. Methods Medicine Ayman El-Baz, Georgy L. Gimel'farb, Kenji Suzuki
2017	—	`ed.`	Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings MLMI@MICCAI Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki
2017	J	`jnl`	Machine learning in medical imaging. Pattern Recognit. Kenji Suzuki, Luping Zhou, Qian Wang
2017	—	`conf`	Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images. MLMI@MICCAI Kenji Suzuki, Junchi Liu, Amin Zarshenas, Toru Higaki, Wataru Fukumoto, Kazuo Awai
2016	J	`jnl`	Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning. Knowl. Based Syst. Amin Zarshenas, Kenji Suzuki
2015	B	`conf`	Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection. SMC Kenji Suzuki, Mohammadamin Zarshenas, Junchi Liu, Yonghui Fan, Nazanin Makkinejad, Paul Forti, Abraham H. Dachman
2015	J	`jnl`	Machine learning in medical imaging. Comput. Medical Imaging Graph. Dinggang Shen, Guorong Wu, Daoqiang Zhang, Kenji Suzuki, Fei Wang, Pingkun Yan
2014	—	`conf`	A new method for false-positive reduction in detection of lung nodules in CT images. DSP Guo Cao, Yazhou Liu, Kenji Suzuki
2014	J	`jnl`	Configuration-Transition-Based Connected-Component Labeling. IEEE Trans. Image Process. Lifeng He, Xiao Zhao, Yuyan Chao, Kenji Suzuki
2014	J	`jnl`	Guest Editorial: Special issue on advanced computing for image-guided intervention. Neurocomputing Fei Zuo, Jungong Han, Pingkun Yan, Hans C. van Assen, Kenji Suzuki
2014	J	`jnl`	Max-AUC Feature Selection in Computer-Aided Detection of Polyps in CT Colonography. IEEE J. Biomed. Health Informatics Jianwu Xu, Kenji Suzuki
2014	—	`conf`	Mining of Training Samples for Multiple Learning Machines in Computer-Aided Detection of Lesions in CT Images. ICDM Workshops Kenji Suzuki
2014	—	`ch.`	Pixel-based Machine Learning in Computer-Aided Diagnosis of Lung and Colon Cancer. Machine Learning in Healthcare Informatics Kenji Suzuki
2014	B	`conf`	Quantitative analysis of rib movement based on dynamic chest bone images: preliminary results. Image Processing Rie Tanaka, Shigeru Sanada, Makoto Oda, M. Mitsutaka, Kenji Suzuki, Keita Sakuta, Hiroki Kawashima
2014	J	`jnl`	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 Sheng Chen, Kenji Suzuki
2013	J	`jnl`	An Algorithm for Connected-Component Labeling, Hole Labeling and Euler Number Computing. J. Comput. Sci. Technol. Lifeng He, Yuyan Chao, Kenji Suzuki
2013	J	`jnl`	Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies. Int. J. Biomed. Imaging Ayman El-Baz, Garth M. Beache, Georgy L. Gimel'farb, Kenji Suzuki, Kazunori Okada, Ahmed Elnakib, Ahmed Soliman, Behnoush Abdollahi
2013	J	`jnl`	Computerized Detection of Lung Nodules by Means of "Virtual Dual-Energy" Radiography. IEEE Trans. Biomed. Eng. Sheng Chen, Kenji Suzuki
2013	—	`conf`	Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring. EMBC Kenji Suzuki, Hieu Trung Huynh, Yi-Peng Liu, Dominic Calabrese, Karen Zhou, Aytekin Oto, Masatoshi Hori
2013	—	`conf`	Effect of CADe on radiologists' performance in detection of "difficult" polyps in CT colonography. Computer-Aided Diagnosis Kenji Suzuki, Masatoshi Hori, Gen Iinuma, Abraham H. Dachman
2013	J	`jnl`	Lung Imaging Data Analysis. Int. J. Biomed. Imaging Ayman El-Baz, Garth M. Beache, Georgy L. Gimel'farb, Kenji Suzuki, Kazunori Okada
2013	J	`jnl`	Machine Learning in Computer-Aided Diagnosis of the Thorax and Colon in CT: A Survey. IEICE Trans. Inf. Syst. Kenji Suzuki
2013	—	`ed.`	Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings MLMI Guorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan, Kenji Suzuki, Fei Wang
2013	J	`jnl`	Machine learning in medical imaging. Mach. Vis. Appl. Pingkun Yan, Kenji Suzuki, Fei Wang, Dinggang Shen
2012	J	`jnl`	A Mutual-Information-Based Global Matching Method for Chest-Radiography Temporal Subtraction. J. Adv. Comput. Intell. Intell. Informatics Qian Yu, Lifeng He, Tsuyoshi Nakamura, Yuyan Chao, Kenji Suzuki
2012	J	`jnl`	A New First-Scan Method for Two-Scan Labeling Algorithms. IEICE Trans. Inf. Syst. Lifeng He, Yuyan Chao, Kenji Suzuki
2012	B	`conf`	A new algorithm for labeling connected-components and calculating the Euler number, connected-component number, and hole number. ICPR Lifeng He, Yuyan Chao, Kenji Suzuki
2012	B	`conf`	Bone suppression in chest radiographs by means of anatomically specific multiple massive-training ANNs. ICPR Sheng Chen, Kenji Suzuki
2012	—	`conf`	Computer-aided detection of polyps in CT colonography by means of AdaBoost. Computer-Aided Diagnosis Jianwu Xu, Kenji Suzuki
2012	—	`ed.`	Machine Learning in Medical Imaging - Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers MLMI Fei Wang, Dinggang Shen, Pingkun Yan, Kenji Suzuki
2012	J	`jnl`	Machine Learning in Medical Imaging. Int. J. Biomed. Imaging Kenji Suzuki, Pingkun Yan, Fei Wang, Dinggang Shen
2012	—	`conf`	Maximal partial AUC feature selection in computer-aided detection of hepatocellular carcinoma in contrast-enhanced hepatic CT. Computer-Aided Diagnosis Jianwu Xu, Kenji Suzuki
2012	J	`jnl`	Pixel-Based Machine Learning in Medical Imaging. Int. J. Biomed. Imaging Kenji Suzuki
2011	—	`conf`	A spinning tangent based CAD system for detection of flat lesions in CT colonography. ISBI Francis O. Ferraro, Emily Kawaler, Kenji Suzuki
2011	—	`conf`	Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques. MLMI Jianwu Xu, Kenji Suzuki
2011	—	`conf`	Computer-aided detection of hepatocellular carcinoma in hepatic CT: False positive reduction with feature selection. ISBI Jianwu Xu, Kenji Suzuki
2011	—	`conf`	Computer-aided detection of hepatocellular carcinoma in multiphase contrast-enhanced hepatic CT: a preliminary study. Computer-Aided Diagnosis Jianwu Xu, Kenji Suzuki, Masatoshi Hori, Aytekin Oto, Richard Baron
2011	—	`conf`	Improved computerized detection of lung nodules in chest radiographs by means of 'virtual dual-energy' radiography. Computer-Aided Diagnosis Sophia Chen, Kenji Suzuki, Heber MacMahon
2011	—	`ed.`	Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings MLMI Kenji Suzuki, Fei Wang, Dinggang Shen, Pingkun Yan
2011	—	`conf`	Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes. Computer-Aided Diagnosis Kenji Suzuki, Samuel G. Armato III, Roger Engelmann, Philip Caligiuri, Heber MacMahon
2011	J	`jnl`	Two Efficient Label-Equivalence-Based Connected-Component Labeling Algorithms for 3-D Binary Images. IEEE Trans. Image Process. Lifeng He, Yuyan Chao, Kenji Suzuki
2010	J	`jnl`	A Run-Based One-and-a-Half-Scan Connected-Component Labeling Algorithm. Int. J. Pattern Recognit. Artif. Intell. Lifeng He, Yuyan Chao, Kenji Suzuki
2010	J	`jnl`	An efficient first-scan method for label-equivalence-based labeling algorithms. Pattern Recognit. Lett. Lifeng He, Yuyan Chao, Kenji Suzuki
2010	—	`conf`	Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing. Computer-Aided Diagnosis Kenji Suzuki, Mark L. Epstein, Jianwu Xu, Piotr Obara, Don C. Rockey, Abraham H. Dachman
2010	—	`conf`	CT liver volumetry using geodesic active contour segmentation with a level-set algorithm. Computer-Aided Diagnosis Kenji Suzuki, Mark L. Epstein, Ryan Kohlbrenner, Ademola Obajuluwa, Jianwu Xu, Masatoshi Hori, Richard Baron
2010	—	`conf`	False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector Regression Approach. Virtual Colonoscopy and Abdominal Imaging Jianwu Xu, Kenji Suzuki
2010	—	`ed.`	Machine Learning in Medical Imaging, First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings MLMI Fei Wang, Pingkun Yan, Kenji Suzuki, Dinggang Shen
2010	J	`jnl`	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 Kenji Suzuki, Jun Zhang, Jianwu Xu
2010	—	`conf`	Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography. MLMI Kenji Suzuki, Jianwu Xu, Jun Zhang, Ivan Sheu
2010	—	`conf`	Recent Advances in Reduction of False Positives in Computerized Detection of Polyps in CT Colonography. Virtual Colonoscopy and Abdominal Imaging Kenji Suzuki
2009	—	`conf`	A CAD utilizing 3D massive-training ANNs for detection of flat lesions in CT colonography: preliminary results. Computer-Aided Diagnosis Kenji Suzuki, Ivan Sheu, Don C. Rockey, Abraham H. Dachman
2009	J	`jnl`	A Genetic-Algorithm-Based Temporal Subtraction for Chest Radiographs. J. Adv. Comput. Intell. Intell. Informatics Takeshi Inaba, Lifeng He, Kenji Suzuki, Kazuhito Murakami, Yuyan Chao
2009	—	`conf`	A Run-Based One-Scan Labeling Algorithm. ICIAR Lifeng He, Yuyan Chao, Kenji Suzuki, Hidenori Itoh
2009	J	`jnl`	Fast connected-component labeling. Pattern Recognit. Lifeng He, Yuyan Chao, Kenji Suzuki, Kesheng Wu
2009	J	`jnl`	Optimizing two-pass connected-component labeling algorithms. Pattern Anal. Appl. Kesheng Wu, Ekow J. Otoo, Kenji Suzuki
2008	J	`jnl`	A Run-Based Two-Scan Labeling Algorithm. IEEE Trans. Image Process. Lifeng He, Yuyan Chao, Kenji Suzuki
2008	—	`conf`	An MTANN CAD for detection of polyps in false-negative CT colonography cases in a large multicenter clinical trial: preliminary results. Computer-Aided Diagnosis Kenji Suzuki, Ivan Sheu, Mark L. Epstein, Ryan Kohlbrenner, Antonella Lostumbo, Don C. Rockey, Abraham H. Dachman
2008	—	`conf`	Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom. Computer-Aided Diagnosis Zachary B. Rodgers, Martin King, Maryellen L. Giger, Michael W. Vannier, Dianna M. E. Bardo, Kenji Suzuki, Li Lan
2008	—	`conf`	Massive-training artificial neural networks for CAD for detection of polyps in CT colonography: False-negative cases in a large multicenter clinical trial. ISBI Kenji Suzuki, Mark L. Epstein, Ivan Sheu, Ryan Kohlbrenner, Don C. Rockey, Abraham H. Dachman
2008	C	`conf`	Segmentation of Lesions with Improved Specificity in Computer-Aided Diagnosis Using a Massive-Training Artificial Neural Network (MTANN). ICMLA Kenji Suzuki
2008	B	`conf`	Supervised enhancement of lung nodules by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD). ICPR Kenji Suzuki, Zhenghao Shi, Jun Zhang
2007	—	`conf`	A Linear-Time Two-Scan Labeling Algorithm. ICIP (5) Lifeng He, Yuyan Chao, Kenji Suzuki
2007	—	`conf`	A Run-Based Two-Scan Labeling Algorithm. ICIAR Lifeng He, Yuyan Chao, Kenji Suzuki
2007	J	`jnl`	An Improvement of Herbrand's Theorem and Its Application to Model Generation Theorem Proving. J. Comput. Sci. Technol. Yuyan Chao, Lifeng He, Tsuyoshi Nakamura, Zhenghao Shi, Kenji Suzuki, Hidenori Itoh
2007	—	`conf`	Computer-aided assessment of cardiac computed tomographic images. Computer-Aided Diagnosis Martin King, Maryellen L. Giger, Kenji Suzuki, Xiaochuan Pan
2007	—	`conf`	Determination of subjective and objective similarity for pairs of masses on mammograms for selection of similar images. Computer-Aided Diagnosis Chisako Muramatsu, Qiang Li, Robert A. Schmidt, Junji Shiraishi, Kenji Suzuki, Gillian M. Newstead, Kunio Doi
2007	—	`conf`	Mixture of expert artificial neural networks with ensemble training for reduction of various sources of false positives in CAD. Computer-Aided Diagnosis Kenji Suzuki, Lifeng He, Shweta Khankari, Liang Ge, Joel Verceles, Abraham H. Dachman
2006	B	`conf`	A two-stage method for lesion segmentation on digital mammograms. Image Processing Yading Yuan, Maryellen L. Giger, Kenji Suzuki, Hui Li, Andrew R. Jamieson
2006	—	`conf`	Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. Digital Mammography / IWDM Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew R. Jamieson, Laura Yarusso, Robert M. Nishikawa, Charlene A. Sennett
2006	J	`jnl`	Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Trans. Medical Imaging Kenji Suzuki, Hiroyuki Abe, Heber MacMahon, Kunio Doi
2005	J	`jnl`	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 Kenji Suzuki, Feng Li, Shusuke Sone, Kunio Doi
2005	B	`conf`	Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs. Image Processing Kenji Suzuki, Junji Shiraishi, Feng Li, Hiroyuki Abe, Heber MacMahon, Kunio Doi
2004	—	`conf`	Characteristics of a massive training artificial neural network in the distinction between lung nodules and vessels in CT images. CARS Kenji Suzuki, Kunio Doi
2004	J	`jnl`	Extraction of left ventricular contours from left ventriculograms by means of a neural edge detector. IEEE Trans. Medical Imaging Kenji Suzuki, Isao Horiba, Noboru Sugie, Michio Nanki
2004	B	`conf`	Suppression of the contrast of ribs in chest radiographs by means of massive training artificial neural network. Image Processing Kenji Suzuki, Hiroyuki Abe, Feng Li, Kunio Doi
2004	—	`conf`	Usefulness of computerized scheme for differentiating benign from malignant lung nodules on high-resolution CT. CARS Feng Li, Qiang Li, Masahito Aoyama, Junji Shiraishi, Hiroyuki Abe, Kenji Suzuki, Roger Engelmann, Shusuke Sone, Heber MacMahon, Kunio Doi
2003	J	`jnl`	Contour extraction of left ventricular cavity from digital subtraction angiograms using a neural edge detector. Syst. Comput. Jpn. Kenji Suzuki, Isao Horiba, Noboru Sugie, Michio Nanki
2003	B	`conf`	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. Image Processing Kenji Suzuki, Samuel G. Armato, Feng Li, Shusuke Sone, Kunio Doi
2003	J	`jnl`	Linear-time connected-component labeling based on sequential local operations. Comput. Vis. Image Underst. Kenji Suzuki, Isao Horiba, Noboru Sugie
2003	J	`jnl`	Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images. IEEE Trans. Pattern Anal. Mach. Intell. Kenji Suzuki, Isao Horiba, Noboru Sugie
2002	J	`jnl`	Efficient approximation of neural filters for removing quantum noise from images. IEEE Trans. Signal Process. Kenji Suzuki, Isao Horiba, Noboru Sugie
2001	J	`jnl`	A Simple Neural Network Pruning Algorithm with Application to Filter Synthesis. Neural Process. Lett. Kenji Suzuki, Isao Horiba, Noboru Sugie
2001	B	`conf`	Computer-aided diagnosis system for coronary artery stenosis using a neural network. Image Processing Kenji Suzuki, Isao Horiba, Noboru Sugie, Michio Nanki
2001	B	`conf`	Extraction of the contours of left ventricular cavity according with those traced by medical doctors from left ventriculograms using a neural edge detector. Image Processing Kenji Suzuki, Isao Horiba, Noboru Sugie, Michio Nanki
2001	—	`conf`	Neural Edge Detector - A Good Mimic of Conventional One Yet Robuster against Noise. IWANN (2) Kenji Suzuki, Isao Horiba, Noboru Sugie
2001	B	`conf`	Sound Source Separation in the Frequency Domain with Image Processing. INTERACT Kazuhiro Ninagawa, Takashi Umeyama, Kenji Suzuki, Noboru Sugie
2000	B	`conf`	Fast Connected-Component Labeling Based on Sequential Local Operations in the Course of Forward Raster Scan Followed by Backward Raster Scan. ICPR Kenji Suzuki, Isao Horiba, Noboru Sugie
1998	B	`conf`	A Recurrent Neural Filter for Reducing Noise in Medical X-Ray Image Sequences. ICONIP Kenji Suzuki, Isao Horiba, Noboru Sugie, Michio Nanki
1995	J	`jnl`	Recognition of Coronary Arterial Stenosis Using Neural Network on DSA System. Syst. Comput. Jpn. Kenji Suzuki, Isao Horiba, Kazuo Ikegaya, Michio Nanki