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ORCIDMitsutaka Nemoto
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2020 – today
- 2021
[j9]Katsuhiro Mikami
, Mitsutaka Nemoto, Takeo Nagura, Masaya Nakamura, Morio Matsumoto, Daisuke Nakashima:
Machine Learning-Based Diagnosis in Laser Resonance Frequency Analysis for Implant Stability of Orthopedic Pedicle Screws. Sensors 21(22): 7553 (2021)- [c14]Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, Koji Abe, Masahiro Tada, Hitoshi Habe, Takashi Nagaoka, Yoshiaki Ozaki, Seiun Nin, Kazunari Ishii, Yongbum Lee:
How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography. Computer-Aided Diagnosis 2021
2010 – 2019
- 2019
- [j8]Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Masaki Murata, Takahiro Nakao, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe:
Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI. Int. J. Comput. Assist. Radiol. Surg. 14(8): 1259-1266 (2019) - 2017
- [j7]Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Akinobu Shimizu:
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) - [j6]Shouhei Hanaoka, Yoshiyasu Nakano, Mitsutaka Nemoto, Yukihiro Nomura, Tomomi Takenaga, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Yoshitaka Masutani, Akinobu Shimizu:
Automatic detection of vertebral number abnormalities in body CT images. Int. J. Comput. Assist. Radiol. Surg. 12(5): 719-732 (2017) - [j5]Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa:
Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems - a New Paradigm. J. Digit. Imaging 30(5): 629-639 (2017) - [j4]Shouhei Hanaoka, Akinobu Shimizu, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Yoshitaka Masutani:
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) - [c13]Ryosuke Kamesawa, Issei Sato, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, Masashi Sugiyama:
Lung lesion detection in FDG-PET/CT with Gaussian process regression. Computer-Aided Diagnosis 2017: 101340C - 2016
- [c12]Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Kuni Ohtomo:
A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA. Computer-Aided Diagnosis 2016: 97852S - 2015
- [c11]Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Yoshitaka Masutani, Akinobu Shimizu:
HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection. MICCAI (2) 2015: 103-110 - 2013
- [c10]Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo:
A Multiple Anatomical Landmark Detection System for Body CT Images. CANDAR 2013: 308-311 - [c9]Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Kuni Ohtomo, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi:
Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method. CANDAR 2013: 316-319 - [c8]Yukihiro Nomura, Yoshitaka Masutani, Soichiro Miki, Shouhei Hanaoka, Mitsutaka Nemoto, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo:
Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment. CANDAR 2013: 320-323 - [c7]Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo:
Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model. Image Processing 2013: 866917 - 2012
- [c6]Yoshitaka Masutani, Mitsutaka Nemoto, Shohei Hanaoka, Naoto Hayashi, Kuni Ohtomo:
Appearance Similarity Flow for Quantification of Anatomical Landmark Uncertainty in Medical Images. ISVC (1) 2012: 12-21 - [c5]Shohei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo:
Automatic Categorization of Anatomical Landmark-Local Appearances Based on Diffeomorphic Demons and Spectral Clustering for Constructing Detector Ensembles. MICCAI (2) 2012: 106-113 - 2011
- [c4]Shohei Hanaoka, Karl D. Fritscher, Martin Welk, Mitsutaka Nemoto, Yoshitaka Masutani, Naoto Hayashi, Kuni Ohtomo, Rainer Schubert:
3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem. MICCAI (3) 2011: 554-561 - [c3]Mitsutaka Nemoto, Yoshitaka Masutani, Shouhei Hanaoka, Yukihiro Nomura, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo:
A unified framework for concurrent detection of anatomical landmarks for medical image understanding. Image Processing 2011: 79623E - 2010
- [j3]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) - [c2]Mitsutaka Nemoto, Yukihiro Nomura, Shohei Hanaoka, Yoshitaka Masutani, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo:
Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images. MLMI 2010: 174-181
2000 – 2009
- 2009
- [j2]Mitsutaka Nemoto, Soshi Honmura, Akinobu Shimizu, Daisuke Furukawa, Hidefumi Kobatake, Shigeru Nawano:
A pilot study of architectural distortion detection in mammograms based on characteristics of line shadows. Int. J. Comput. Assist. Radiol. Surg. 4(1): 27-36 (2009) - 2006
- [j1]Mitsutaka Nemoto, Akinobu Shimizu, Yoshihiro Hagihara, Hidefumi Kobatake, Shigeru Nawano:
Improvement of tumor detection performance in mammograms by feature selection from a large number of features and proposal of fast feature selection method. Syst. Comput. Jpn. 37(12): 56-68 (2006) - [c1]Mitsutaka Nemoto, Akinobu Shimizu, Hidefumi Kobatake, Hideya Takeo, Shigeru Nawano:
Study on Cascade Classification in Abnormal Shadow Detection for Mammograms. Digital Mammography / IWDM 2006: 324-331
Coauthor Index
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