Kenji Suzuki

Orcid: 0000-0002-3993-8309

Affiliations:
  • Tokyo Institute of Technology, Japan
  • University of Chicago, Division of the Biological Sciences, Chicago, IL, USA (former)


According to our database1, Kenji Suzuki authored at least 113 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Auto-CA: Automated Cobb Angle Measurement Based on Vertebrae Detection for Assessment of Spinal Curvature Deformity.
IEEE Trans. Biomed. Eng., February, 2024

Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification.
CoRR, 2024

Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database.
Proceedings of the 2024 6th International Conference on Image, Video and Signal Processing, 2024

2023
Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach.
IEEE Access, 2023

Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN.
IEEE Access, 2023

ROC-Score-Based Ensemble Training for Multiple Deep Learning Modules in Classification Between Polyps and Non-Polyps in CT Colonography.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Detection and Correction of Defective Relative Humidity Data Collected from the Greenhouse Environment Using Nested Kalman Filters with Standard Deviation Analysis.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
Improvement of Urinary Stone Segmentation Using GAN-Based Urinary Stones Inpainting Augmentation.
IEEE Access, 2022

FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Federated Tumor Segmentation with Patch-Wise Deep Learning Model.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Action unit detection by exploiting spatial-temporal and label-wise attention with transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Small Data Deep Learning for Lung Cancer Detection in CT.
Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

2021
Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring.
IEEE Trans. Ind. Informatics, 2021

Massive-Training Artificial Neural Network (Mtann) With Special Kernel For Artifact Reduction In Fast-Acquisition Mri Of The Knee.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019
A deep CNN based transfer learning method for false positive reduction.
Multim. Tools Appl., 2019

Measuring System Entropy with a Deep Recurrent Neural Network Model.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Development of Deep-learning Segmentation for Breast Cancer in MR Images based on Neural Network Convolution.
Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

2018
Deep Neural Network Convolution for Natural Image Denoising.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Reduction in training time of a deep learning model in detection of lesions in CT.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 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.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017
Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs.
Pattern Recognit., 2017

Machine learning in medical imaging.
Pattern Recognit., 2017

A combinational algorithm for connected-component labeling and Euler number computing.
J. Real Time Image Process., 2017

Efficient tree-structured SfM by RANSAC generalized Procrustes analysis.
Comput. Vis. Image Underst., 2017

Machine Learning Applications in Medical Image Analysis.
Comput. Math. Methods Medicine, 2017

Fully automated MR liver volumetry using watershed segmentation coupled with active contouring.
Int. J. Comput. Assist. Radiol. Surg., 2017

Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

2016
Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning.
Knowl. Based Syst., 2016

2015
Machine learning in medical imaging.
Comput. Medical Imaging Graph., 2015

Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
Pixel-based Machine Learning in Computer-Aided Diagnosis of Lung and Colon Cancer.
Proceedings of the Machine Learning in Healthcare Informatics, 2014

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, 2014

Max-AUC Feature Selection in Computer-Aided Detection of Polyps in CT Colonography.
IEEE J. Biomed. Health Informatics, 2014

Configuration-Transition-Based Connected-Component Labeling.
IEEE Trans. Image Process., 2014

Guest Editorial: Special issue on advanced computing for image-guided intervention.
Neurocomputing, 2014

Quantitative analysis of rib movement based on dynamic chest bone images: preliminary results.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

A new method for false-positive reduction in detection of lung nodules in CT images.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Mining of Training Samples for Multiple Learning Machines in Computer-Aided Detection of Lesions in CT Images.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Computerized Detection of Lung Nodules by Means of "Virtual Dual-Energy" Radiography.
IEEE Trans. Biomed. Eng., 2013

An Algorithm for Connected-Component Labeling, Hole Labeling and Euler Number Computing.
J. Comput. Sci. Technol., 2013

Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies.
Int. J. Biomed. Imaging, 2013

Lung Imaging Data Analysis.
Int. J. Biomed. Imaging, 2013

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

Effect of CADe on radiologists' performance in detection of "difficult" polyps in CT colonography.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
A Mutual-Information-Based Global Matching Method for Chest-Radiography Temporal Subtraction.
J. Adv. Comput. Intell. Intell. Informatics, 2012

Machine Learning in Medical Imaging.
Int. J. Biomed. Imaging, 2012

Pixel-Based Machine Learning in Medical Imaging.
Int. J. Biomed. Imaging, 2012

A New First-Scan Method for Two-Scan Labeling Algorithms.
IEICE Trans. Inf. Syst., 2012

Computer-aided detection of polyps in CT colonography by means of AdaBoost.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Maximal partial AUC feature selection in computer-aided detection of hepatocellular carcinoma in contrast-enhanced hepatic CT.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

A new algorithm for labeling connected-components and calculating the Euler number, connected-component number, and hole number.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Bone suppression in chest radiographs by means of anatomically specific multiple massive-training ANNs.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Two Efficient Label-Equivalence-Based Connected-Component Labeling Algorithms for 3-D Binary Images.
IEEE Trans. Image Process., 2011

Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

Computer-aided detection of hepatocellular carcinoma in multiphase contrast-enhanced hepatic CT: a preliminary study.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Improved computerized detection of lung nodules in chest radiographs by means of 'virtual dual-energy' radiography.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Computer-aided detection of hepatocellular carcinoma in hepatic CT: False positive reduction with feature selection.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A spinning tangent based CAD system for detection of flat lesions in CT colonography.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
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, 2010

An efficient first-scan method for label-equivalence-based labeling algorithms.
Pattern Recognit. Lett., 2010

A Run-Based One-and-a-Half-Scan Connected-Component Labeling Algorithm.
Int. J. Pattern Recognit. Artif. Intell., 2010

False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector Regression Approach.
Proceedings of the Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 2010

Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Recent Advances in Reduction of False Positives in Computerized Detection of Polyps in CT Colonography.
Proceedings of the Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 2010

Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

CT liver volumetry using geodesic active contour segmentation with a level-set algorithm.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

2009
Fast connected-component labeling.
Pattern Recognit., 2009

Optimizing two-pass connected-component labeling algorithms.
Pattern Anal. Appl., 2009

A Genetic-Algorithm-Based Temporal Subtraction for Chest Radiographs.
J. Adv. Comput. Intell. Intell. Informatics, 2009

A CAD utilizing 3D massive-training ANNs for detection of flat lesions in CT colonography: preliminary results.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

A Run-Based One-Scan Labeling Algorithm.
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

2008
A Run-Based Two-Scan Labeling Algorithm.
IEEE Trans. Image Process., 2008

An MTANN CAD for detection of polyps in false-negative CT colonography cases in a large multicenter clinical trial: preliminary results.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Massive-training artificial neural networks for CAD for detection of polyps in CT colonography: False-negative cases in a large multicenter clinical trial.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Supervised enhancement of lung nodules by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD).
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Segmentation of Lesions with Improved Specificity in Computer-Aided Diagnosis Using a Massive-Training Artificial Neural Network (MTANN).
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
An Improvement of Herbrand's Theorem and Its Application to Model Generation Theorem Proving.
J. Comput. Sci. Technol., 2007

Mixture of expert artificial neural networks with ensemble training for reduction of various sources of false positives in CAD.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Determination of subjective and objective similarity for pairs of masses on mammograms for selection of similar images.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Computer-aided assessment of cardiac computed tomographic images.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

A Linear-Time Two-Scan Labeling Algorithm.
Proceedings of the International Conference on Image Processing, 2007

2006
Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN).
IEEE Trans. Medical Imaging, 2006

A two-stage method for lesion segmentation on digital mammograms.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images.
Proceedings of the Digital Mammography, 2006

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.
IEEE Trans. Medical Imaging, 2005

Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004
Extraction of left ventricular contours from left ventriculograms by means of a neural edge detector.
IEEE Trans. Medical Imaging, 2004

Suppression of the contrast of ribs in chest radiographs by means of massive training artificial neural network.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

Characteristics of a massive training artificial neural network in the distinction between lung nodules and vessels in CT images.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

Usefulness of computerized scheme for differentiating benign from malignant lung nodules on high-resolution CT.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2003
Contour extraction of left ventricular cavity from digital subtraction angiograms using a neural edge detector.
Syst. Comput. Jpn., 2003

Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Linear-time connected-component labeling based on sequential local operations.
Comput. Vis. Image Underst., 2003

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.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002
Efficient approximation of neural filters for removing quantum noise from images.
IEEE Trans. Signal Process., 2002

2001
A Simple Neural Network Pruning Algorithm with Application to Filter Synthesis.
Neural Process. Lett., 2001

Computer-aided diagnosis system for coronary artery stenosis using a neural network.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

Extraction of the contours of left ventricular cavity according with those traced by medical doctors from left ventriculograms using a neural edge detector.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

Neural Edge Detector - A Good Mimic of Conventional One Yet Robuster against Noise.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Sound Source Separation in the Frequency Domain with Image Processing.
Proceedings of the Human-Computer Interaction INTERACT '01: IFIP TC13 International Conference on Human-Computer Interaction, 2001

2000
Fast Connected-Component Labeling Based on Sequential Local Operations in the Course of Forward Raster Scan Followed by Backward Raster Scan.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1998
A Recurrent Neural Filter for Reducing Noise in Medical X-Ray Image Sequences.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1995
Recognition of Coronary Arterial Stenosis Using Neural Network on DSA System.
Syst. Comput. Jpn., 1995


  Loading...