Hiroyuki Abe
According to our database1,
Hiroyuki Abe
authored at least 32 papers
between 2003 and 2023.
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Bibliography
2023
Non-readily identifiable data collaboration analysis for multiple datasets including personal information.
Inf. Fusion, 2023
Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration.
CoRR, 2022
Safely reducing unnecessary benign breast biopsies by applying non-mass and DWI directional variance filters to ADC thresholding.
BMC Medical Imaging, 2022
Case-based repeatability and operating point variability of AI: breast lesion classification based on deep transfer learning.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
2021
Comparison of diagnostic performances, case-based repeatability, and operating sensitivity and specificity in classification of breast lesions using DCE-MRI.
Proceedings of the Medical Imaging 2021: Image Perception, 2021
Case-based diagnostic classification repeatability using radiomic features extracted from full-field digital mammography images of breast lesions.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Development of Testing Method Considering Tasks with Remotely Controlled Robots in Fukushima Daiichi Nuclear Power Station.
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2021
2020
Discrimination of benign from malignant breast lesions in dense breasts with model-based analysis of regions-of-interest using directional diffusion-weighted images.
BMC Medical Imaging, 2020
Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI.
Proceedings of the Medical Imaging 2020: Image Perception, 2020
Case-based repeatability of machine learning classification performance on breast MRI.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Topic-Aware Automatic Snippet Generation for Resolving Multiple Meaning on Web Search Result.
Proceedings of the 9th International Conference on Awareness Science and Technology, 2018
2014
Integrated Information Model for Design, Machining, and Measuring Using Annotated Features.
Int. J. Autom. Technol., 2014
Quantitative MRI Phenotyping of Breast Cancer across Molecular Classification Subtypes.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
2013
Cross-Sectional Relatedness Between Sentences in Breast Radiology Reports: Development of an SVM Classifier and Evaluation Against Annotations of Five Breast Radiologists.
J. Digit. Imaging, 2013
Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients.
Int. J. Comput. Assist. Radiol. Surg., 2013
Biomechanically guided prone-to-supine image registration of breast MRI using an estimated reference state.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2011
Evaluation of Objective Similarity Measures for Selecting Similar Images of Mammographic Lesions.
J. Digit. Imaging, 2011
2010
Observer Study for Evaluating Potential Utility of a Super-High-Resolution LCD in the Detection of Clustered Microcalcifications on Digital Mammograms.
J. Digit. Imaging, 2010
Int. J. Comput. Assist. Radiol. Surg., 2010
2009
Multi-modality computer-aided diagnosis system for axillary lymph node (ALN) staging: segmentation of ALN on ultrasound images.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2006
Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN).
IEEE Trans. Medical Imaging, 2006
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
Proceedings of the INTERSPEECH 2005, 2005
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
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
Development of CAD scheme for automated detection of intracranial aneurysms in magnetic resonance angiography.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
2003
Effect of the number of cases in image database on the performance of computer-aided diagnosis (CAD) for the detection of pulmonary nodules in chest radiographs.
Proceedings of the Medical Imaging 2003: Image Processing, 2003