Masahiro Yakami
Masahiro Yakami
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Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional …
M Nishio, O Sugiyama, M Yakami, S Ueno, T Kubo, T Kuroda, K Togashi
PloS one 13 (7), e0200721, 2018
Multi-shape graph cuts with neighbor prior constraints and its application to lung segmentation from a chest CT volume
K Nakagomi, A Shimizu, H Kobatake, M Yakami, K Fujimoto, K Togashi
Medical image analysis 17 (1), 62-77, 2013
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
M Nishio, M Nishizawa, O Sugiyama, R Kojima, M Yakami, T Kuroda, ...
PloS one 13 (4), e0195875, 2018
Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques
S Noguchi, M Nishio, M Yakami, K Nakagomi, K Togashi
Computers in biology and medicine 121, 103767, 2020
Automatic segmentation of the uterus on MRI using a convolutional neural network
Y Kurata, M Nishio, A Kido, K Fujimoto, M Yakami, H Isoda, K Togashi
Computers in biology and medicine 114, 103438, 2019
Improving breast mass classification by shared data with domain transformation using a generative adversarial network
C Muramatsu, M Nishio, T Goto, M Oiwa, T Morita, M Yakami, T Kubo, ...
Computers in biology and medicine 119, 103698, 2020
Development of severe complications caused by stent placement followed by definitive radiation therapy for T4 esophageal cancer
M Yakami, M Mitsumori, H Sai, Y Nagata, M Hiraoka, Y Nishimura
International Journal of Clinical Oncology 8, 395-398, 2003
Temporal subtraction of serial CT images with large deformation diffeomorphic metric mapping in the identification of bone metastases
R Sakamoto, M Yakami, K Fujimoto, K Nakagomi, T Kubo, Y Emoto, ...
Radiology 285 (2), 629-639, 2017
Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network
Y Kurata, M Nishio, Y Moribata, A Kido, Y Himoto, S Otani, K Fujimoto, ...
Scientific Reports 11 (1), 14440, 2021
Development and evaluation of a low-cost and high-capacity DICOM image data storage system for research
M Yakami, K Ishizu, T Kubo, T Okada, K Togashi
Journal of Digital Imaging 24, 190-195, 2011
Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion
S Otani, Y Himoto, M Nishio, K Fujimoto, Y Moribata, M Yakami, Y Kurata, ...
Magnetic Resonance Imaging 85, 161-167, 2022
Evaluation of CT angiography for visualisation of the lenticulostriate artery: difference between normotensive and hypertensive patients
K Gotoh, T Okada, N Satogami, M Yakami, JC Takahashi, K Yoshida, ...
The British Journal of Radiology 85 (1019), e1004-e1008, 2012
Deep learning–based algorithm improved radiologists’ performance in bone metastases detection on CT
S Noguchi, M Nishio, R Sakamoto, M Yakami, K Fujimoto, Y Emoto, ...
European Radiology 32 (11), 7976-7987, 2022
A proposed dedicated breast PET lexicon: standardization of description and reporting of radiotracer uptake in the breast
KK Miyake, M Kataoka, T Ishimori, Y Matsumoto, M Torii, M Takada, ...
Diagnostics 11 (7), 1267, 2021
Deep learning algorithm for fully automated detection of small (≤ 4 cm) renal cell carcinoma in contrast-enhanced computed tomography using a multicenter database
N Toda, M Hashimoto, Y Arita, H Haque, H Akita, T Akashi, H Gobara, ...
Investigative radiology 57 (5), 327-333, 2022
Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region
M Nishio, K Nakane, T Kubo, M Yakami, Y Emoto, M Nishio, K Togashi
PLoS One 12 (5), e0178217, 2017
Detection of suspected brain infarctions on CT can be significantly improved with temporal subtraction images
T Akasaka, M Yakami, M Nishio, K Onoue, G Aoyama, K Nakagomi, ...
European radiology 29, 759-769, 2019
A study of computer-aided diagnosis for pulmonary nodule: comparison between classification accuracies using calculated image features and imaging findings annotated by …
M Kawagishi, B Chen, D Furukawa, H Sekiguchi, K Sakai, T Kubo, ...
International Journal of Computer Assisted Radiology and Surgery 12, 767-776, 2017
An end-to-end secure patient information access card system
A Alkhateeb, H Singer, M Yakami, T Takahashi
Methods of information in medicine 39 (01), 70-72, 2000
Pattern recognition in musculoskeletal imaging using artificial intelligence
N Gorelik, J Chong, DJ Lin
Seminars in musculoskeletal radiology 24 (01), 38-49, 2020
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