Masahiro Hashimoto
According to our database1,
Masahiro Hashimoto
authored at least 24 papers
between 1970 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 1998, "For contributions to electromagnetic theory, especially for guided-wave optics.".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images.
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
2023
Int. J. Comput. Assist. Radiol. Surg., February, 2023
Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping.
CoRR, 2023
Improved method for COVID-19 classification of complex-architecture CNN from chest CT volumes using orthogonal ensemble networks.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Extremely imbalanced subarachnoid hemorrhage detection based on DenseNet-LSTM network with class-balanced loss and transfer learning.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
2020
Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020
Anomaly Detection Based on Histogram Methodology and Factor Analysis Using LightGBM for Cooling Systems.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
2019
Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets.
CoRR, 2019
2010
"The Center of Scattering"-Where is the Center of a Polygonal Cylinder for Electromagnetic Scattering ?-.
IEICE Trans. Electron., 2010
2009
Some Remarks on the Extension of Numerical Data to the Complex Space for Radiation Patterns in Electromagnetic Scattering Problems.
IEICE Trans. Electron., 2009
2008
An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm.
Comput. Medical Imaging Graph., 2008
2005
An Internet-based Melanoma Diagnostic System - Toward the Practical Application.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
1995
Syst. Comput. Jpn., 1995
1994
Limitations of lip-reading advantage by desynchronizing visual and auditory information in speech.
Proceedings of the 3rd International Conference on Spoken Language Processing, 1994
1991
Basic Concepts of Timing-oriented Design Automation for High-performance Mainframe Computers.
Proceedings of the 28th Design Automation Conference, 1991
1970
A Method for Solving Large Matrix Equations Reduced From Fredholm Integral Equations of the Second Kind.
J. ACM, 1970