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Bone marrow edema detection for diagnostic support of axial spondyloarthritis using MRI
Int J CARS , (2024)
doi: https://doi.org/10.1007/s11548-024-03228-6
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Design and evaluation of deep learning based inverse filter for a computer aided hot spot detection support system of bone scintigrams
Medical Imaging Technology 42(1), 29-38, (2024)
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Detection support of lesions in patients with prostate cancer using 18 F-PSMA 1007 PET/CT
International Journal of Computer Assisted Radiology and Surgery , (2024)
doi: https://doi.org/10.1007/s11548-024-03067-5
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Simulation of Postmarket Fine-tuning of a Computer-aided Detection System for Bone Scintigrams and Its Performance analysis
Advanced Biomedical Engineering , vol.12, pp.51-63, (2023)
doi: https://doi.org/10.14326/abe.12.51 -
Attention Induction for a CT volume classification of COVID-19
International Journal of Computer Assisted Radiology and Surgery , (2022)
doi: https://doi.org/10.1007/s11548-022-02769-y -
Classification of large‑scale image database of various skin diseases using deep learning
International Journal of Computer Assisted Radiology and Surgery , (2021)
doi: https://doi.org/10.1007/s11548-021-02440-y -
Augmented Radiology: Feature Space Transfer Model for Prostate Cancer Stage Prediction
IEEE Access , (2021)
doi:10.1109/ACCESS.2021.3098038 -
Automated measurement of bone scan index from a whole-body bone scintigram
International Journal of Computer Assisted Radiology and Surgery 15, 389–400, (2019)
doi:10.1007/s11548-019-02105-x -
Detection of pancreatic tumor cell nuclei via a hyperspectral analysis of pathological slides based on stain spectra
Biomedical Optics Express 10(9), 4568-4588, (2019)
doi:10.1364/BOE.10.004568 -
Robust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluation
International Journal of Computer Assisted Radiology and Surgery 14, 2047-2055, (2019)
doi:10.1007/s11548-019-02019-8 -
Level set distribution model of nested structures using logarithmic transformation
Medical Image Analysis 56, 1–10, (2019)
doi:10.1016/j.media.2019.05.003 -
HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules
International Journal of Computer Assisted Radiology and Surgery 14, 2095-2107, (2019)
doi:10.1007/s11548-019-01942-0 -
Liver segmentation from low-radiation-dose pediatric computed tomography using patient-specific, statistical modeling
International Journal of Computer Assisted Radiology and Surgery 14, 2057-2068, (2019)
doi:10.1007/s11548-019-01929-x -
Spatiotemporal statistical shape model for temporal shape change analysis of adult brain
Current Medical Imaging Reviews 15(1), (2019)
doi:10.2174/1573405615666181120141147 -
Critical growth processes for the midfacial morphogenesis in the early prenatal period
The Cleft Palate-Craniofacial Journal 56(8), 1026–1037, (2019)
doi:10.1177/1055665619827189 -
Regulatory science on AI-based medical devices and systems
Advanced Biomedical Engineering 7, 118–123, (2018)
doi:10.14326/abe.7.118 -
Bleeding classification of enhanced wireless capsule endoscopy images using deep convolutional neural network
Journal of Information Science and Engineering 36(1), 91-108, (2018)
doi:10.6688/JISE.202001_36(1).0006 -
A spatiotemporal statistical shape model of the brain surface during human embryonic development
Advanced Biomedical Engineering 7, 146–155, (2018)
doi:10.14326/abe.7.146 -
A spatiotemporal statistical model for eyeballs of human embryos
IEICE Transactions on Information and Systems E100-D(7), 1505–1515, (2017)
doi:10.1587/transinf.2016EDP7493 -
Fast approximation for joint optimization of segmentation, shape, and location priors, and its application in gallbladder segmentation
International Journal of Computer Assisted Radiology and Surgery 12(5), 743–756, (2017)
doi:10.1007/s11548-017-1571-z -
Automatic detection of vertebral number abnormalities in body CT images
International Journal of Computer Assisted Radiology and Surgery 12(5), 719–732, (2017)
doi:10.1007/s11548-016-1516-y -
Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images
International Journal of Computer Assisted Radiology and Surgery 12(3), 413–430, (2016)
doi:10.1007/s11548-016-1507-z -
Automated liver segmentation from a postmortem CT scan based on a statistical shape model
International Journal of Computer Assisted Radiology and Surgery 12(2), 205–221, (2016)
doi:10.1007/s11548-016-1481-5 -
Automatic detection of over 100 anatomical landmarks in medical CT images: a framework with independent detectors and combinatorial optimization
Medical Image Analysis 35, 192–214, (2016)
doi:10.1016/j.media.2016.04.001 -
Evaluation of post-mortem lateral cerebral ventricle changes using sequential scans during post-mortem computed tomography
International Journal of Legal Medicine 130(5), 1323–1328, (2016)
doi:10.1007/s00414-016-1327-2 -
Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs
Medical Image Analysis 28, 46–65, (2015)
doi:10.1016/j.media.2015.11.003 -
An automated Segmentation Algorithm for CT Volumes of Livers with Atypical Shapes and Large Pathological Lesions
IEICE Transactions on Information and Systems E97-D(4), 951-963, (2014)
doi:10.1587/transinf.E97.D.951 -
A conditional statistical shape model with integrated error estimation of the conditions; application to liver segmentation in non-contrast CT images
Medical Image Analysis 18, 130-143, (2013)
doi:10.1016/j.media.2013.10.003 -
Statistical shape model of a liver for autopsy imaging
International Journal of Computer Assisted Radiology and Surgery 9(2), 269-281, (2013)
doi:10.1007/s11548-013-0923-6 -
Ensemble learning based segmentation of metastatic liver tumours in contrast-enhanced computed tomography
IEICE Transactions on Information and Systems E96-D(4), 864-868, (2013)
doi:10.1587/transinf.E96.D.864 -
Multi-shape graph cuts with neighbor prior constraints and its application to lung segmentation from a chest CT volume
Medical Image Analysis 17, 62-77, (2012)
doi:10.1016/j.media.2012.08.002 -
3D medical image processing algorithm competition in Japan
Proc. of International Forum on Medical Imaging in Asia (IFMIA) 2011, S1-2, (2011) -
Automated pancreas segmentation from three-dimensional contrast-enhanced computed tomography
International Journal of Computer Assisted Radiology and Surgery 5(85), 85-98, (2009)
doi:10.1007/s11548-009-0384-0 -
Ensemble segmentation using AdaBoost with application to liver lesion extraction from a CT volume
Proc. of workshop in MICCAI2008, (2008)
http://hdl.handle.net/10380/1411 -
Medical image analysis of 3D CT images based on extension of Haralick texture features
Computerized Medical Imaging and Graphics 32(6), 513-520, (2008)
doi:10.1016/j.compmedimag.2008.05.005 -
Segmentation of multiple organs in non-contrast 3D abdominal CT images
International Journal of Computer Assisted Radiology and Surgery 2(3月4日), 135-142, (2007)
doi:10.1007/s11548-007-0135-z -
Probabilistic atlas-guided eigen-organ method for simultaneous bounding box estimation of multiple organs in volumetric CT Images
Medical Imaging Technology 24(3), 191-200, (2006)
doi:10.11409/mit.24.191