Kenji Suzuki
Orcid: 0000-0002-3993-8309Affiliations:
- Tokyo Institute of Technology, Institute of Integrated Research (IIR), Tokyo, Japan
- University of Chicago, Division of the Biological Sciences, Chicago, IL, USA (former)
- Nagoya University, Nagoya, Japan (PhD 2001)
According to our database1,
Kenji Suzuki
authored at least 119 papers
between 1995 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Auto-CA: Automated Cobb Angle Measurement Based on Vertebrae Detection for Assessment of Spinal Curvature Deformity.
IEEE Trans. Biomed. Eng., February, 2024
BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs.
CoRR, 2024
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification.
CoRR, 2024
MDA: An Interpretable Multi-Modal Fusion with Missing Modalities and Intrinsic Noise.
CoRR, 2024
SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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
"Small-data" Patch-wise Multi-dimensional Output Deep-learning for Rare Cancer Diagnosis in MRI under Limited Sample-size Situation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 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
Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networks.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 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
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
JPG - Jointly Learn to Align: Automated Disease Prediction and Radiology Report Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022
2021
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
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2019
Multim. Tools Appl., 2019
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
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
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
A combinational algorithm for connected-component labeling and Euler number computing.
J. Real Time Image Process., 2017
Comput. Vis. Image Underst., 2017
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
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
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
IEEE J. Biomed. Health Informatics, 2014
IEEE Trans. Image Process., 2014
Neurocomputing, 2014
Quantitative analysis of rib movement based on dynamic chest bone images: preliminary results.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
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
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
IEICE Trans. Inf. Syst., 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 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, San Diego, 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
Pattern Recognit. Lett., 2010
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, San Diego, 2010
CT liver volumetry using geodesic active contour segmentation with a level-set algorithm.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
2009
Pattern Anal. Appl., 2009
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
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009
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, San Diego, 2008
Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 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, San Diego, 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, San Diego, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
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
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
IEEE Trans. Pattern Anal. Mach. Intell., 2003
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
IEEE Trans. Signal Process., 2002
2001
Neural Process. Lett., 2001
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
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
Syst. Comput. Jpn., 1995