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Disambiguation of "Hara, Takeshi"

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Eigenspace Template Matching for Detection of Lacunar Infarcts on MR Images.

, , , , , and . J. Digital Imaging, 28 (1): 116-122 (2015)

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Takeshi Hara

Takeshi Morita

Sayuri Hara

Takeshi Morita

Takeshi Imamura

 

Other publications of authors with the same name

An automated classification scheme for mammograms based on amount and distribution of fibroglandular breast tissue density., , , , , , and . CARS, volume 1230 of International Congress Series, page 545-552. Elsevier, (2001)Preliminary investigation on CAD system update: effect of selection of new cases on classifier performance., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86701T. SPIE, (2013)Automatic arteriovenous crossing phenomenon detection on retinal fundus images., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79633V. SPIE, (2011)Automated Detection of Clustered Microcalcifications on Digitized Mammograms., , , , , , and . Digital Mammography / IWDM, volume 13 of Computational Imaging and Vision, page 197-200. Springer, (1998)Automated classification of mandibular cortical bone on dental panoramic radiographs for early detection of osteoporosis., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94142J. SPIE, (2015)Automated lesion detection in retinal images., , , , and . ISABEL, page 91:1-91:5. ACM, (2011)Eigenspace Template Matching for Detection of Lacunar Infarcts on MR Images., , , , , and . J. Digital Imaging, 28 (1): 116-122 (2015)Unsupervised 3D PET-CT Image Registration Method Using a Metabolic Constraint Function and a Multi-Domain Similarity Measure., , , , , and . IEEE Access, (2020)Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations., , and . Digital Mammography / IWDM, volume 4046 of Lecture Notes in Computer Science, page 332-339. Springer, (2006)Normal model construction for statistical image analysis of torso FDG-PET images based on anatomical standardization by CT images from FDG-PET/CT devices., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (5): 777-787 (2017)