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Yoshitaka Masutani
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2020 – today
- 2020
- [j9]Yukihiro Nomura
, Soichiro Miki
Novel platform for development, training, and validation of computer-assisted detection/diagnosis software. Int. J. Comput. Assist. Radiol. Surg. 15(4): 661-672 (2020)
2010 – 2019
- 2019
- [c34]Yoshitaka Masutani
Noise Level Matching Improves Robustness of Diffusion Mri Parameter Inference by Synthetic Q-Space Learning. ISBI 2019: 139-142 - 2018
- [c33]Issei Sato, Yukihiro Nomura
Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition. KDD 2018: 695-704 - 2017
- [j8]Shouhei Hanaoka
Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images. Int. J. Comput. Assist. Radiol. Surg. 12(3): 413-430 (2017) - [j7]Shouhei Hanaoka
Automatic detection of vertebral number abnormalities in body CT images. Int. J. Comput. Assist. Radiol. Surg. 12(5): 719-732 (2017) - [j6]Shouhei Hanaoka
Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization. Medical Image Anal. 35: 192-214 (2017) - 2015
- [c32]Yoshitaka Masutani:
Medical image understanding and Computational Anatomy. IWCIA 2015: 1 - [c31]Shouhei Hanaoka, Yukihiro Nomura
HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection. MICCAI (2) 2015: 103-110 - 2013
- [c30]Shouhei Hanaoka, Yoshitaka Masutani
A Multiple Anatomical Landmark Detection System for Body CT Images. CANDAR 2013: 308-311 - [c29]Mitsutaka Nemoto, Yoshitaka Masutani
Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method. CANDAR 2013: 316-319 - [c28]Yukihiro Nomura
Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment. CANDAR 2013: 320-323 - [c27]Hidekata Hontani, Kazunari Iwamoto, Yoshitaka Masutani
A Framework for ODF Inference by Using Fiber Tract Adaptive MPG Selection. CDMRI/MMBC@MICCAI 2013: 67-79 - [c26]Mitsutaka Nemoto, Yoshitaka Masutani
Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model. Medical Imaging: Image Processing 2013: 866917 - [c25]Shun Inagaki, Atsushi Imiya, Hidekata Hontani, Shohei Hanaoka, Yoshitaka Masutani
Variational Method for Computing Average Images of Biological Organs. SSVM 2013: 440-451 - 2012
- [c24]Keiko Morita, Atsushi Imiya, Tomoya Sakai, Hidekata Hontani, Yoshitaka Masutani
The Mean Boundary Curve of Anatomical Objects. ACIVS 2012: 313-324 - [c23]Yoshitaka Masutani
Appearance Similarity Flow for Quantification of Anatomical Landmark Uncertainty in Medical Images. ISVC (1) 2012: 12-21 - [c22]Shohei Hanaoka, Yoshitaka Masutani
Automatic Categorization of Anatomical Landmark-Local Appearances Based on Diffeomorphic Demons and Spectral Clustering for Constructing Detector Ensembles. MICCAI (2) 2012: 106-113 - [c21]Keiko Morita, Atsushi Imiya, Tomoya Sakai, Hidekaka Hontan, Yoshitaka Masutani
Alignment and Morphing for the Boundary Curves of Anatomical Organs. SSPR/SPR 2012: 458-466 - 2011
- [c20]Shohei Hanaoka, Karl D. Fritscher, Martin Welk
3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem. MICCAI (3) 2011: 554-561 - [c19]Mitsutaka Nemoto, Yoshitaka Masutani
A unified framework for concurrent detection of anatomical landmarks for medical image understanding. Medical Imaging: Image Processing 2011: 79623E - [c18]Shouhei Hanaoka, Karl D. Fritscher, Benedikt Schuler, Yoshitaka Masutani
Whole vertebral bone segmentation method with a statistical intensity-shape model based approach. Medical Imaging: Image Processing 2011: 796242 - 2010
- [j5]Yukihiro Nomura, Naoto Hayashi, Yoshitaka Masutani, Takeharu Yoshikawa, Mitsutaka Nemoto, Shohei Hanaoka, Soichiro Miki, Eriko Maeda, Kuni Ohtomo:
CIRCUS: an MDA Platform for Clinical Image Analysis in Hospitals. Trans. Mass Data Anal. Images Signals 2(1): 112-127 (2010) - [c17]Mitsutaka Nemoto, Yukihiro Nomura
Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images. MLMI 2010: 174-181
2000 – 2009
- 2008
- [j4]Ali Gooya
A Variational Method for Geometric Regularization of Vascular Segmentation in Medical Images. IEEE Trans. Image Process. 17(8): 1295-1312 (2008) - [c16]Yoshitaka Masutani
Multi-Dimensional Image Data Viewer with Flexible Extension Capability and its Application in Computer-Based Medical Systems. CBMS 2008: 153-157 - 2007
- [j3]Keiichi Nakagawa, Kiyoshi Yoda, Yoshitaka Masutani
A Rod Matrix Compensator for Small-Field Intensity Modulated Radiation Therapy: A Preliminary Phantom Study. IEEE Trans. Biomed. Eng. 54(5): 943-946 (2007) - 2006
- [j2]Yusuke Inoue, Yoshitaka Masutani
Development of surgical simulator with high-quality visualization based on finite-element method and deformable volume rendering. Syst. Comput. Jpn. 37(5): 67-76 (2006) - [c15]Yoshitaka Masutani, Shigeki Aoki, Osamu Abe, Kuni Ohtomo:
Model-based tractography based on statistical atlas of MR-DTI. ISBI 2006: 89-92 - 2005
- [c14]Yoshitaka Masutani
Building Statistical Atlas of White Matter Fiber Tract Based on Vector/Tensor Field Reconstruction in Diffusion Tensor MRI. ISVC 2005: 84-91 - 2004
- [c13]Yoshitaka Masutani
Development of surgical simulator based on FEM and deformable volume-rendering. Medical Imaging: Image-Guided Procedures 2004 - 2003
- [c12]Yoshitaka Masutani, Takeharu Yoshikawa, Shigeki Aoki, Kuni Ohtomo, Anthony J. Sherbondy, Sandy Napel:
EPI distortion correction for MR-DTI by using texture memory on graphics hardware. CARS 2003: 1315 - 2002
- [j1]Yoshitaka Masutani
Computerized Detection of Pulmonary Embolism in Spiral CT Angiography Based on Volumetric Image Analysis. IEEE Trans. Medical Imaging 21(11): 1517-1523 (2002) - [c11]Naomichi Furushiro, Tomoharu Saito, Yoshitaka Masutani
Specification Method of Surface Measurement for Surgical Navigation: Ridgeline Based Organ Registration. MICCAI (2) 2002: 109-115 - [c10]Yoshitaka Masutani
RBF-Based Representation of Volumetric Data: Application in Visualization and Segmentation. MICCAI (2) 2002: 300-307 - 2001
- [c9]Yoshitaka Masutani, Fumihiko Kimura:
A new modal representation of liver deformation for non-rigid registration in image-guided surgery. CARS 2001: 20-26 - [c8]Yoshitaka Masutani
Modally Controlled Free Form Deformation for Non-rigid Registration in Image-Guided Liver Surgery. MICCAI 2001: 1275-1278 - 2000
- [c7]Ken Masamune, Yoshitaka Masutani
Three-Dimensional Slice Image Overlay System with Accurate Depth Perception for Surgery. MICCAI 2000: 395-402 - [c6]Yoshitaka Masutani, Heber MacMahon, Kunio Doi:
Computer-assisted detection of pulmonary embolism. Medical Imaging: Image Processing 2000
1990 – 1999
- 1998
- [c5]Yoshitaka Masutani
Vascular Shape Segmentation and Structure Extraction Using a Shape-Based Region-Growing Model. MICCAI 1998: 1242-1249 - 1997
- [c4]Yoshitaka Masutani
Interactive virtualized display system for intravascular neurosurgery. CVRMed 1997: 427-435 - 1996
- [c3]Yoshitaka Masutani
Region-Growing Based Feature Extraction Algorithm for Tree-Like Objects. VBC 1996: 161-171 - 1995
- [c2]Yoshitaka Masutani
Computer Aided Surgery (CAS) System for Stereotactic Neurosurgery. CVRMed 1995: 247-251 - [c1]Yoshitaka Masutani
Quantitative Vascular Shape Analysis for 3D MR-Angiography Using Mathematical Morphology. CVRMed 1995: 449-454
Coauthor Index
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