Recognition of Coronary Arterial Stenosis Using Neural Network on DSA System. - Kenji Suzuki 001; Isao Horiba; Kazuo Ikegaya; Michio Nanki (Syst. Comput. Jpn., 1995)

A Recurrent Neural Filter for Reducing Noise in Medical X-Ray Image Sequences. - Kenji Suzuki 001; Isao Horiba; Noboru Sugie; Michio Nanki (ICONIP, 1998)

Fast Connected-Component Labeling Based on Sequential Local Operations in the Course of Forward Raster Scan Followed by Backward Raster Scan. - Kenji Suzuki 001; Isao Horiba; Noboru Sugie (ICPR, 2000)

Sound Source Separation in the Frequency Domain with Image Processing. - Kazuhiro Ninagawa; Takashi Umeyama; Kenji Suzuki 001; Noboru Sugie (INTERACT, 2001)

Neural Edge Detector - A Good Mimic of Conventional One Yet Robuster against Noise. - Kenji Suzuki 001; Isao Horiba; Noboru Sugie (IWANN (2), 2001)

Extraction of the contours of left ventricular cavity according with those traced by medical doctors from left ventriculograms using a neural edge detector. - Kenji Suzuki 001; Isao Horiba; Noboru Sugie; Michio Nanki (Image Processing, 2001)

Computer-aided diagnosis system for coronary artery stenosis using a neural network. - Kenji Suzuki 001; Isao Horiba; Noboru Sugie; Michio Nanki (Image Processing, 2001)

A Simple Neural Network Pruning Algorithm with Application to Filter Synthesis. - Kenji Suzuki 001; Isao Horiba; Noboru Sugie (Neural Process. Lett., 2001)

Efficient approximation of neural filters for removing quantum noise from images. - Kenji Suzuki 001; Isao Horiba; Noboru Sugie (IEEE Trans. Signal Process., 2002)

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. - Kenji Suzuki 001; Samuel G. Armato; Feng Li 018; Shusuke Sone; Kunio Doi (Image Processing, 2003)

Linear-time connected-component labeling based on sequential local operations. - Kenji Suzuki 001; Isao Horiba; Noboru Sugie (Comput. Vis. Image Underst., 2003)

Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images. - Kenji Suzuki 001; Isao Horiba; Noboru Sugie (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Contour extraction of left ventricular cavity from digital subtraction angiograms using a neural edge detector. - Kenji Suzuki 001; Isao Horiba; Noboru Sugie; Michio Nanki (Syst. Comput. Jpn., 2003)

Usefulness of computerized scheme for differentiating benign from malignant lung nodules on high-resolution CT. - Feng Li 018; Qiang Li 018; Masahito Aoyama; Junji Shiraishi; Hiroyuki Abe; Kenji Suzuki 001; Roger Engelmann; Shusuke Sone; Heber MacMahon; Kunio Doi (CARS, 2004)

Characteristics of a massive training artificial neural network in the distinction between lung nodules and vessels in CT images. - Kenji Suzuki 001; Kunio Doi (CARS, 2004)

Suppression of the contrast of ribs in chest radiographs by means of massive training artificial neural network. - Kenji Suzuki 001; Hiroyuki Abe; Feng Li 018; Kunio Doi (Image Processing, 2004)

Extraction of left ventricular contours from left ventriculograms by means of a neural edge detector. - Kenji Suzuki 001; Isao Horiba; Noboru Sugie; Michio Nanki (IEEE Trans. Medical Imaging, 2004)

Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs. - Kenji Suzuki 001; Junji Shiraishi; Feng Li 018; Hiroyuki Abe; Heber MacMahon; Kunio Doi (Image Processing, 2005)

Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network. - Kenji Suzuki 001; Feng Li 018; Shusuke Sone; Kunio Doi (IEEE Trans. Medical Imaging, 2005)

Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. - Hui Li 024; Maryellen L. Giger; Yading Yuan; Li Lan; Kenji Suzuki 001; Andrew R. Jamieson; Laura Yarusso; Robert M. Nishikawa; Charlene A. Sennett (Digital Mammography / IWDM, 2006)

A two-stage method for lesion segmentation on digital mammograms. - Yading Yuan; Maryellen L. Giger; Kenji Suzuki 001; Hui Li 024; Andrew R. Jamieson (Image Processing, 2006)

Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). - Kenji Suzuki 001; Hiroyuki Abe; Heber MacMahon; Kunio Doi (IEEE Trans. Medical Imaging, 2006)

A Linear-Time Two-Scan Labeling Algorithm. - Lifeng He; Yuyan Chao; Kenji Suzuki 001 (ICIP (5), 2007)

Computer-aided assessment of cardiac computed tomographic images. - Martin King; Maryellen L. Giger; Kenji Suzuki 001; Xiaochuan Pan (Computer-Aided Diagnosis, 2007)

Determination of subjective and objective similarity for pairs of masses on mammograms for selection of similar images. - Chisako Muramatsu; Qiang Li 018; Robert A. Schmidt; Junji Shiraishi; Kenji Suzuki 001; Gillian M. Newstead; Kunio Doi (Computer-Aided Diagnosis, 2007)

Mixture of expert artificial neural networks with ensemble training for reduction of various sources of false positives in CAD. - Kenji Suzuki 001; Lifeng He; Shweta Khankari; Liang Ge; Joel Verceles; Abraham H. Dachman (Computer-Aided Diagnosis, 2007)

An Improvement of Herbrand's Theorem and Its Application to Model Generation Theorem Proving. - Yuyan Chao; Lifeng He; Tsuyoshi Nakamura; Zhenghao Shi; Kenji Suzuki 001; Hidenori Itoh (J. Comput. Sci. Technol., 2007)

Segmentation of Lesions with Improved Specificity in Computer-Aided Diagnosis Using a Massive-Training Artificial Neural Network (MTANN). - Kenji Suzuki 001 (ICMLA, 2008)

Supervised enhancement of lung nodules by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD). - Kenji Suzuki 001; Zhenghao Shi; Jun Zhang 091 (ICPR, 2008)

Massive-training artificial neural networks for CAD for detection of polyps in CT colonography: False-negative cases in a large multicenter clinical trial. - Kenji Suzuki 001; Mark L. Epstein; Ivan Sheu; Ryan Kohlbrenner; Don C. Rockey; Abraham H. Dachman (ISBI, 2008)

Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom. - Zachary B. Rodgers; Martin King; Maryellen L. Giger; Michael W. Vannier; Dianna M. E. Bardo; Kenji Suzuki 001; Li Lan (Computer-Aided Diagnosis, 2008)

An MTANN CAD for detection of polyps in false-negative CT colonography cases in a large multicenter clinical trial: preliminary results. - Kenji Suzuki 001; Ivan Sheu; Mark L. Epstein; Ryan Kohlbrenner; Antonella Lostumbo; Don C. Rockey; Abraham H. Dachman (Computer-Aided Diagnosis, 2008)

A Run-Based Two-Scan Labeling Algorithm. - Lifeng He; Yuyan Chao; Kenji Suzuki 001 (IEEE Trans. Image Process., 2008)

A Run-Based One-Scan Labeling Algorithm. - Lifeng He; Yuyan Chao; Kenji Suzuki 001; Hidenori Itoh (ICIAR, 2009)

A CAD utilizing 3D massive-training ANNs for detection of flat lesions in CT colonography: preliminary results. - Kenji Suzuki 001; Ivan Sheu; Don C. Rockey; Abraham H. Dachman (Computer-Aided Diagnosis, 2009)

A Genetic-Algorithm-Based Temporal Subtraction for Chest Radiographs. - Takeshi Inaba; Lifeng He; Kenji Suzuki 001; Kazuhito Murakami; Yuyan Chao (J. Adv. Comput. Intell. Intell. Informatics, 2009)

Optimizing two-pass connected-component labeling algorithms. - Kesheng Wu; Ekow J. Otoo; Kenji Suzuki 001 (Pattern Anal. Appl., 2009)

Fast connected-component labeling. - Lifeng He; Yuyan Chao; Kenji Suzuki 001; Kesheng Wu (Pattern Recognit., 2009)

CT liver volumetry using geodesic active contour segmentation with a level-set algorithm. - Kenji Suzuki 001; Mark L. Epstein; Ryan Kohlbrenner; Ademola Obajuluwa; Jianwu Xu; Masatoshi Hori; Richard Baron (Computer-Aided Diagnosis, 2010)

Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing. - Kenji Suzuki 001; Mark L. Epstein; Jianwu Xu; Piotr Obara; Don C. Rockey; Abraham H. Dachman (Computer-Aided Diagnosis, 2010)

Recent Advances in Reduction of False Positives in Computerized Detection of Polyps in CT Colonography. - Kenji Suzuki 001 (Virtual Colonoscopy and Abdominal Imaging, 2010)

Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography. - Kenji Suzuki 001; Jianwu Xu; Jun Zhang 091; Ivan Sheu (MLMI, 2010)

False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector Regression Approach. - Jianwu Xu; Kenji Suzuki 001 (Virtual Colonoscopy and Abdominal Imaging, 2010)

A Run-Based One-and-a-Half-Scan Connected-Component Labeling Algorithm. - Lifeng He; Yuyan Chao; Kenji Suzuki 001 (Int. J. Pattern Recognit. Artif. Intell., 2010)

An efficient first-scan method for label-equivalence-based labeling algorithms. - Lifeng He; Yuyan Chao; Kenji Suzuki 001 (Pattern Recognit. Lett., 2010)

Massive-Training Artificial Neural Network Coupled With Laplacian-Eigenfunction-Based Dimensionality Reduction for Computer-Aided Detection of Polyps in CT Colonography. - Kenji Suzuki 001; Jun Zhang 091; Jianwu Xu (IEEE Trans. Medical Imaging, 2010)

A spinning tangent based CAD system for detection of flat lesions in CT colonography. - Francis O. Ferraro; Emily Kawaler; Kenji Suzuki 001 (ISBI, 2011)

Computer-aided detection of hepatocellular carcinoma in hepatic CT: False positive reduction with feature selection. - Jianwu Xu; Kenji Suzuki 001 (ISBI, 2011)

Improved computerized detection of lung nodules in chest radiographs by means of 'virtual dual-energy' radiography. - Sophia Chen; Kenji Suzuki 001; Heber MacMahon (Computer-Aided Diagnosis, 2011)

Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes. - Kenji Suzuki 001; Samuel G. Armato III; Roger Engelmann; Philip Caligiuri; Heber MacMahon (Computer-Aided Diagnosis, 2011)

Computer-aided detection of hepatocellular carcinoma in multiphase contrast-enhanced hepatic CT: a preliminary study. - Jianwu Xu; Kenji Suzuki 001; Masatoshi Hori; Aytekin Oto; Richard Baron (Computer-Aided Diagnosis, 2011)

Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques. - Jianwu Xu; Kenji Suzuki 001 (MLMI, 2011)

Two Efficient Label-Equivalence-Based Connected-Component Labeling Algorithms for 3-D Binary Images. - Lifeng He; Yuyan Chao; Kenji Suzuki 001 (IEEE Trans. Image Process., 2011)

Bone suppression in chest radiographs by means of anatomically specific multiple massive-training ANNs. - Sheng Chen; Kenji Suzuki 001 (ICPR, 2012)

A new algorithm for labeling connected-components and calculating the Euler number, connected-component number, and hole number. - Lifeng He; Yuyan Chao; Kenji Suzuki 001 (ICPR, 2012)

Maximal partial AUC feature selection in computer-aided detection of hepatocellular carcinoma in contrast-enhanced hepatic CT. - Jianwu Xu; Kenji Suzuki 001 (Computer-Aided Diagnosis, 2012)

Computer-aided detection of polyps in CT colonography by means of AdaBoost. - Jianwu Xu; Kenji Suzuki 001 (Computer-Aided Diagnosis, 2012)

A New First-Scan Method for Two-Scan Labeling Algorithms. - Lifeng He; Yuyan Chao; Kenji Suzuki 001 (IEICE Trans. Inf. Syst., 2012)

Pixel-Based Machine Learning in Medical Imaging. - Kenji Suzuki 001 (Int. J. Biomed. Imaging, 2012)

Machine Learning in Medical Imaging. - Kenji Suzuki 001; Pingkun Yan; Fei Wang 002; Dinggang Shen (Int. J. Biomed. Imaging, 2012)

A Mutual-Information-Based Global Matching Method for Chest-Radiography Temporal Subtraction. - Qian Yu; Lifeng He; Tsuyoshi Nakamura; Yuyan Chao; Kenji Suzuki 001 (J. Adv. Comput. Intell. Intell. Informatics, 2012)

Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring. - Kenji Suzuki 001; Hieu Trung Huynh; Yi-Peng Liu 001; Dominic Calabrese; Karen Zhou 002; Aytekin Oto; Masatoshi Hori (EMBC, 2013)

Effect of CADe on radiologists' performance in detection of "difficult" polyps in CT colonography. - Kenji Suzuki 001; Masatoshi Hori; Gen Iinuma; Abraham H. Dachman (Computer-Aided Diagnosis, 2013)

Machine Learning in Computer-Aided Diagnosis of the Thorax and Colon in CT: A Survey. - Kenji Suzuki 001 (IEICE Trans. Inf. Syst., 2013)

Lung Imaging Data Analysis. - Ayman El-Baz; Garth M. Beache; Georgy L. Gimel'farb; Kenji Suzuki 001; Kazunori Okada (Int. J. Biomed. Imaging, 2013)

Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies. - Ayman El-Baz; Garth M. Beache; Georgy L. Gimel'farb; Kenji Suzuki 001; Kazunori Okada; Ahmed Elnakib; Ahmed Soliman 001; Behnoush Abdollahi (Int. J. Biomed. Imaging, 2013)

An Algorithm for Connected-Component Labeling, Hole Labeling and Euler Number Computing. - Lifeng He; Yuyan Chao; Kenji Suzuki 001 (J. Comput. Sci. Technol., 2013)

Computerized Detection of Lung Nodules by Means of "Virtual Dual-Energy" Radiography. - Sheng Chen; Kenji Suzuki 001 (IEEE Trans. Biomed. Eng., 2013)

Mining of Training Samples for Multiple Learning Machines in Computer-Aided Detection of Lesions in CT Images. - Kenji Suzuki 001 (ICDM Workshops, 2014)

A new method for false-positive reduction in detection of lung nodules in CT images. - Guo Cao; Yazhou Liu; Kenji Suzuki 001 (DSP, 2014)

Quantitative analysis of rib movement based on dynamic chest bone images: preliminary results. - Rie Tanaka; Shigeru Sanada; Makoto Oda; M. Mitsutaka; Kenji Suzuki 001; Keita Sakuta; Hiroki Kawashima (Image Processing, 2014)

Guest Editorial: Special issue on advanced computing for image-guided intervention. - Fei Zuo; Jungong Han; Pingkun Yan; Hans C. van Assen; Kenji Suzuki 001 (Neurocomputing, 2014)

Configuration-Transition-Based Connected-Component Labeling. - Lifeng He; Xiao Zhao; Yuyan Chao; Kenji Suzuki 001 (IEEE Trans. Image Process., 2014)

Max-AUC Feature Selection in Computer-Aided Detection of Polyps in CT Colonography. - Jianwu Xu; Kenji Suzuki 001 (IEEE J. Biomed. Health Informatics, 2014)

Separation of Bones From Chest Radiographs by Means of Anatomically Specific Multiple Massive-Training ANNs Combined With Total Variation Minimization Smoothing. - Sheng Chen; Kenji Suzuki 001 (IEEE Trans. Medical Imaging, 2014)

Pixel-based Machine Learning in Computer-Aided Diagnosis of Lung and Colon Cancer. - Kenji Suzuki 001 (Machine Learning in Healthcare Informatics, 2014)

Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection. - Kenji Suzuki 001; Mohammadamin Zarshenas; Junchi Liu; Yonghui Fan; Nazanin Makkinejad; Paul Forti; Abraham H. Dachman (SMC, 2015)

Machine learning in medical imaging. - Dinggang Shen; Guorong Wu 001; Daoqiang Zhang; Kenji Suzuki 001; Fei Wang 002; Pingkun Yan (Comput. Medical Imaging Graph., 2015)

Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning. - Amin Zarshenas; Kenji Suzuki 001 (Knowl. Based Syst., 2016)

Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images. - Kenji Suzuki 001; Junchi Liu; Amin Zarshenas; Toru Higaki; Wataru Fukumoto; Kazuo Awai (MLMI@MICCAI, 2017)

Fully automated MR liver volumetry using watershed segmentation coupled with active contouring. - Hieu Trung Huynh; Ngoc Le-Trong; Pham The Bao; Aytek Oto; Kenji Suzuki 001 (Int. J. Comput. Assist. Radiol. Surg., 2017)

Machine Learning Applications in Medical Image Analysis. - Ayman El-Baz; Georgy L. Gimel'farb; Kenji Suzuki 001 (Comput. Math. Methods Medicine, 2017)

Efficient tree-structured SfM by RANSAC generalized Procrustes analysis. - Yisong Chen; Antoni B. Chan; Zhouchen Lin; Kenji Suzuki 001; Guoping Wang (Comput. Vis. Image Underst., 2017)

A combinational algorithm for connected-component labeling and Euler number computing. - Lifeng He; Xiao Zhao; Bin Yao; Yun Yang; Yuyan Chao; Zhenghao Shi; Kenji Suzuki 001 (J. Real Time Image Process., 2017)

Machine learning in medical imaging. - Kenji Suzuki 001; Luping Zhou; Qian Wang 001 (Pattern Recognit., 2017)

Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs. - Nima Tajbakhsh; Kenji Suzuki 001 (Pattern Recognit., 2017)

Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning. - Junchi Liu; Amin Zarshenas; Syed Ammar Qadir; Limin Yang; Laurie Lee Fajardo; Kenji Suzuki 001 (IWBI, 2018)

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. - Noriaki Hashimoto; Kenji Suzuki 001; Junchi Liu; Yasushi Hirano; Heber MacMahon; Shoji Kido (Computer-Aided Diagnosis, 2018)

Reduction in training time of a deep learning model in detection of lesions in CT. - Nazanin Makkinejad; Nima Tajbakhsh; Amin Zarshenas; Ashfaq Khokhar 001; Kenji Suzuki 001 (Computer-Aided Diagnosis, 2018)

Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing. - Junchi Liu; Amin Zarshenas; Ammar Qadir; Zheng Wei; Limin Yang; Laurie Lee Fajardo; Kenji Suzuki 001 (Image Processing, 2018)

Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs. - Amin Zarshenas; Junchi Liu; Paul Forti; Kenji Suzuki 001 (SMC, 2018)

Deep Neural Network Convolution for Natural Image Denoising. - Amin Zarshenas; Kenji Suzuki 001 (SMC, 2018)

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 001 (ICCPR, 2019)

Measuring System Entropy with a Deep Recurrent Neural Network Model. - Miguel Martínez-García; Yu Zhang 001; Kenji Suzuki 001; Yudong Zhang 001 (INDIN, 2019)

A deep CNN based transfer learning method for false positive reduction. - Zhenghao Shi; Huan Hao; Minghua Zhao; Yaning Feng; Lifeng He; Yinghui Wang 001; Kenji Suzuki 001 (Multim. Tools Appl., 2019)

A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis. - Lingfeng Wang; Shisen Wang; Jin Qi; Kenji Suzuki 001 (ICCVW, 2021)

Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size. - Muneyuki Sato; Ze Jin; Kenji Suzuki 001 (ISBI, 2021)

Massive-Training Artificial Neural Network (Mtann) With Special Kernel For Artifact Reduction In Fast-Acquisition Mri Of The Knee. - Maodong Xiang; Ze Jin; Kenji Suzuki 001 (ISBI, 2021)

Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring. - Miguel Martínez-García; Yu Zhang 001; Kenji Suzuki 001; Yudong Zhang 001 (IEEE Trans. Ind. Informatics, 2021)

Small Data Deep Learning for Lung Cancer Detection in CT. - Kenji Suzuki 001 (BigDataService, 2022)

JPG - Jointly Learn to Align: Automated Disease Prediction and Radiology Report Generation. - Jingyi You; Dongyuan Li; Manabu Okumura; Kenji Suzuki 001 (COLING, 2022)

Action unit detection by exploiting spatial-temporal and label-wise attention with transformer. - Lingfeng Wang; Jin Qi; Jian Cheng 003; Kenji Suzuki 001 (CVPR Workshops, 2022)

Federated Tumor Segmentation with Patch-Wise Deep Learning Model. - Yuqiao Yang; Ze Jin; Kenji Suzuki 001 (MLMI@MICCAI, 2022)

FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis. - Zhipeng Deng; Yuqiao Yang; Kenji Suzuki 001; Ze Jin (SMC, 2022)

Improvement of Urinary Stone Segmentation Using GAN-Based Urinary Stones Inpainting Augmentation. - Wongsakorn Preedanan; Kenji Suzuki 001; Toshiaki Kondo; Masaki Kobayashi; Hajime Tanaka; Junichiro Ishioka; Yoh Matsuoka; Yasuhisa Fujii; Itsuo Kumazawa (IEEE Access, 2022)

Detection and Correction of Defective Relative Humidity Data Collected from the Greenhouse Environment Using Nested Kalman Filters with Standard Deviation Analysis. - Kraithep Sirisanwannakul; Nutchanon Siripool; Kenji Suzuki 001; Waree Kongprawechnon; Jessada Karnjana (APSIPA ASC, 2023)

Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels. - Zhipeng Deng; Ze Jin; Kenji Suzuki 001 (EMBC, 2023)

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 001 (MICCAI (2), 2023)

Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networks. - Xu Lei 003; Fahad Parvez Mahdi; Ze Jin; Hao Sun; Yoshiyuki Noguchi; Masayuki Murata; Kenji Suzuki 001 (Digital and Computational Pathology, 2023)

ROC-Score-Based Ensemble Training for Multiple Deep Learning Modules in Classification Between Polyps and Non-Polyps in CT Colonography. - Kenji Suzuki 001; Abraham H. Dachman (SMC, 2023)

Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN. - Srisopitsawat Pavarut; Wongsakorn Preedanan; Itsuo Kumazawa; Kenji Suzuki 001; Masaki Kobayashi; Hajime Tanaka; Junichiro Ishioka; Yoh Matsuoka; Yasuhisa Fujii (IEEE Access, 2023)

Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach. - Wongsakorn Preedanan; Kenji Suzuki 001; Toshiaki Kondo; Masaki Kobayashi; Hajime Tanaka; Junichiro Ishioka; Yoh Matsuoka; Yasuhisa Fujii; Itsuo Kumazawa (IEEE Access, 2023)

"Small-data" Patch-wise Multi-dimensional Output Deep-learning for Rare Cancer Diagnosis in MRI under Limited Sample-size Situation. - Yuqiao Yang; Ze Jin; Fumihiko Nakatani; Mototaka Miyake; Kenji Suzuki 001 (ISBI, 2024)

Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database. - Shogo Kodera; Wahyu Rahmaniar; Hiroko Oshibe; Ze Jin; Takeyuki Watadani; Osamu Abe; Kenji Suzuki 001 (IVSP, 2024)

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 001 (MICCAI (11), 2024)

MDA: An Interpretable Multi-Modal Fusion with Missing Modalities and Intrinsic Noise. - Lin Fan; Yafei Ou; Cenyang Zheng; Pengyu Dai; Tamotsu Kamishima; Masayuki Ikebe; Kenji Suzuki 001; Xun Gong 002 (CoRR, 2024)

Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification. - Zhipeng Deng; Yuqiao Yang; Kenji Suzuki 001 (CoRR, 2024)

Auto-CA: Automated Cobb Angle Measurement Based on Vertebrae Detection for Assessment of Spinal Curvature Deformity. - Wahyu Rahmaniar; Kenji Suzuki 001; Ting-Lan Lin (IEEE Trans. Biomed. Eng., 2024)

BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs. - Haolin Wang; Yafei Ou; Prasoon Ambalathankandy; Gen Ota; Pengyu Dai; Masayuki Ikebe; Kenji Suzuki 001; Tamotsu Kamishima (AAAI, 2025)

Patch-Based Deep-Learning Model With Limited Training Dataset for Liver Tumor Segmentation in Contrast-Enhanced Hepatic Computed Tomography. - Yuqiao Yang; Muneyuki Sato; Ze Jin; Kenji Suzuki 001 (IEEE Access, 2025)

Layer Separation: Adjustable Joint Space Width Images Synthesis in Conventional Radiography. - Haolin Wang; Yafei Ou; Prasoon Ambalathankandy; Gen Ota; Pengyu Dai; Masayuki Ikebe; Kenji Suzuki 001; Tamotsu Kamishima (CoRR, 2025)

Future of the Medical World: Collaborative Medical Imaging AI With Federated Learning. - Wahyu Rahmaniar; Zhipeng Deng; Yuqiao Yang; Ze Jin; Kenji Suzuki 001 (IEEE Consumer Electron. Mag., 2025)