Shozo Hirota

发表

Neonatal Brain Age Estimation Using Manifold Learning Regression Analysis

Syoji Kobashi, Satoru Aikawa, Masakazu Morimoto, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Neonatal brain MR image segmentation based on system-of-systems in engineering technology

Yutaka Hata, Tomomoto Ishikawa, Syoji Kobashi, 2011, 2011 6th International Conference on System of Systems Engineering.

Fuzzy Logic Assisted Quantification of Gyral Deformation Index Using Magnetic Resonance Images for the Infantile Brain

Yutaka Hata, Syoji Kobashi, Kumiko Ando, 2009, 2009 39th International Symposium on Multiple-Valued Logic.

Cerebral surface extraction based on particle method in neonatal MR images

Yutaka Hata, Syoji Kobashi, Kei Kuramoto, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Fuzzy thick rubber model for cerebral surface extraction in neonatal brain MR images

Yutaka Hata, Syoji Kobashi, Kumiko Ando, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Shape and appearance knowledge based brain segmentation for neonatal MR images

Yutaka Hata, Tomomoto Ishikawa, Syoji Kobashi, 2012, World Automation Congress 2012.

Automated fuzzy logic based skull stripping in neonatal and infantile MR images

Yutaka Hata, Syoji Kobashi, Shinichi Yoshiya, 2010, International Conference on Fuzzy Systems.

Neonatal brain segmentation using 4-D fuzzy object model

Yutaka Hata, Tomomoto Ishikawa, Naotake Kamiura, 2014, 2014 International Conference on Informatics, Electronics & Vision (ICIEV).

Fuzzy-ASM Based Automated Skull Stripping Method from Infantile Brain MR Images

Yutaka Hata, Syoji Kobashi, Reiichi Ishikura, 2007 .

Computer-aided diagnosis system of systems for neonatal and infantile brain using MR images

Yutaka Hata, Syoji Kobashi, Kumiko Ando, 2008, 2008 IEEE International Conference on System of Systems Engineering.

A priori knowledge based deformable surface model for newborn brain MR image segmentation

Yutaka Hata, Tomomoto Ishikawa, Syoji Kobashi, 2013, 2013 Fourth International Workshop on Computational Intelligence in Medical Imaging (CIMI).

A neonatal brain MR image template of 1 week newborn

Yutaka Hata, Tomomoto Ishikawa, Syoji Kobashi, 2011, International Journal of Computer Assisted Radiology and Surgery.

Fuzzy-ASM Based Automated Skull Stripping Method from Infantile Brain MR Images

Yutaka Hata, Syoji Kobashi, Katsuya Kondo, 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

Cerebral Contour Extraction with Particle Method in Neonatal MR Images

Yutaka Hata, Syoji Kobashi, Kei Kuramoto, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Neonatal brain MRI normalization with 3-D cerebral sulci registration

Yutaka Hata, Tomomoto Ishikawa, Kento Morita, 2014, 2014 International Conference on Informatics, Electronics & Vision (ICIEV).

2013 Fourth International Workshop on Computational Intelligence in Medical Imaging, CIMI 2013, Singapore, April 16-19, 2013

Yutaka Hata, Tomomoto Ishikawa, Cher Heng Tan, 2013, CIMI.

Fuzzy object growth model for newborn brain using Manifold learning

Yutaka Hata, Tomomoto Ishikawa, Syoji Kobashi, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fuzzy object shape model for newborn brain MR image segmentation

Yutaka Hata, Tomomoto Ishikawa, Syoji Kobashi, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Focal liver lesions: Breathhold gradient‐ and spin‐echo T2‐weighted imaging for detection and characterization

Takeshi Yoshikawa, Shozo Hirota, Yoshiharu Ohno, 2006, Journal of magnetic resonance imaging : JMRI.

Predicting Delivery Error Using a DICOM-RT Plan for Volumetric Modulated Arc Therapy

Masao Tanooka, Masayuki Fujiwara, Norihiko Kamikonya, 2014 .

Cone-Beam CT with Flat-Panel-Detector Digital Angiography System: Early Experience in Abdominal Interventional Procedures

Ken Ueda, Rika Baba, Reiichi Ishikura, 2006, CardioVascular and Interventional Radiology.

Diffusion-weighted magnetic resonance imaging for prediction of tumor response to neoadjuvant chemoradiotherapy using irinotecan plus S-1 for rectal cancer.

Norihiko Kamikonya, Shozo Hirota, Masashi Noda, 2015, Molecular and clinical oncology.

DICOM-RT Plan Complexity Verification for Volumetric Modulated Arc Therapy

Masao Tanooka, Masayuki Fujiwara, Norihiko Kamikonya, 2014 .

Evaluation of vascular supply with cone-beam computed tomography during intraarterial chemotherapy for a skull base tumor

Kumiko Ando, Reiichi Ishikura, Shozo Hirota, 2006, Radiation Medicine.

Newborn Brain MR Image Segmentation Using Deformable Surface Model Based on Fuzzy Knowledge Models

Yutaka Hata, Syoji Kobashi, Kei Kuramoto, 2013 .