Mori M - Search Results

1

The Utility of Deep Learning in Breast Ultrasonic Imaging: A Review.

Fujioka T, Mori M, Kubota K, Oyama J, Yamaga E, Yashima Y, Katsuta L, Nomura K, Nara M, Oda G, Nakagawa T, Kitazume Y, Tateishi U. Fujioka T, et al. Among authors: mori m. Diagnostics (Basel). 2020 Dec 6;10(12):1055. doi: 10.3390/diagnostics10121055. Diagnostics (Basel). 2020. PMID: 33291266 Free PMC article. Review.

2

Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.

Fujioka T, Kubota K, Mori M, Kikuchi Y, Katsuta L, Kasahara M, Oda G, Ishiba T, Nakagawa T, Tateishi U. Fujioka T, et al. Among authors: mori m. Jpn J Radiol. 2019 Jun;37(6):466-472. doi: 10.1007/s11604-019-00831-5. Epub 2019 Mar 19. Jpn J Radiol. 2019. PMID: 30888570

3

Simultaneous comparison between strain and shear wave elastography of breast masses for the differentiation of benign and malignant lesions by qualitative and quantitative assessments.

Fujioka T, Mori M, Kubota K, Kikuchi Y, Katsuta L, Kasahara M, Oda G, Ishiba T, Nakagawa T, Tateishi U. Fujioka T, et al. Among authors: mori m. Breast Cancer. 2019 Nov;26(6):792-798. doi: 10.1007/s12282-019-00985-0. Epub 2019 Jun 7. Breast Cancer. 2019. PMID: 31175605

4

Diagnostic performance of time-of-flight PET/CT for evaluating nodal metastasis of the axilla in breast cancer.

Mori M, Fujioka T, Katsuta L, Tsuchiya J, Kubota K, Kasahara M, Oda G, Nakagawa T, Onishi I, Tateishi U. Mori M, et al. Nucl Med Commun. 2019 Sep;40(9):958-964. doi: 10.1097/MNM.0000000000001057. Nucl Med Commun. 2019. PMID: 31365505

5

Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks.

Fujioka T, Mori M, Kubota K, Kikuchi Y, Katsuta L, Adachi M, Oda G, Nakagawa T, Kitazume Y, Tateishi U. Fujioka T, et al. Among authors: mori m. Diagnostics (Basel). 2019 Nov 6;9(4):176. doi: 10.3390/diagnostics9040176. Diagnostics (Basel). 2019. PMID: 31698748 Free PMC article.

6

Detection and Diagnosis of Breast Cancer Using Artificial Intelligence Based assessment of Maximum Intensity Projection Dynamic Contrast-Enhanced Magnetic Resonance Images.

Adachi M, Fujioka T, Mori M, Kubota K, Kikuchi Y, Xiaotong W, Oyama J, Kimura K, Oda G, Nakagawa T, Uetake H, Tateishi U. Adachi M, et al. Among authors: mori m. Diagnostics (Basel). 2020 May 20;10(5):330. doi: 10.3390/diagnostics10050330. Diagnostics (Basel). 2020. PMID: 32443922 Free PMC article.

7

Classification of Breast Masses on Ultrasound Shear Wave Elastography using Convolutional Neural Networks.

Fujioka T, Katsuta L, Kubota K, Mori M, Kikuchi Y, Kato A, Oda G, Nakagawa T, Kitazume Y, Tateishi U. Fujioka T, et al. Among authors: mori m. Ultrason Imaging. 2020 Jul-Sep;42(4-5):213-220. doi: 10.1177/0161734620932609. Epub 2020 Jun 5. Ultrason Imaging. 2020. PMID: 32501152

8

Virtual Interpolation Images of Tumor Development and Growth on Breast Ultrasound Image Synthesis With Deep Convolutional Generative Adversarial Networks.

Fujioka T, Kubota K, Mori M, Katsuta L, Kikuchi Y, Kimura K, Kimura M, Adachi M, Oda G, Nakagawa T, Kitazume Y, Tateishi U. Fujioka T, et al. Among authors: mori m. J Ultrasound Med. 2021 Jan;40(1):61-69. doi: 10.1002/jum.15376. Epub 2020 Jun 27. J Ultrasound Med. 2021. PMID: 32592409

9

Feasibility of new fat suppression for breast MRI using pix2pix.

Mori M, Fujioka T, Katsuta L, Kikuchi Y, Oda G, Nakagawa T, Kitazume Y, Kubota K, Tateishi U. Mori M, et al. Jpn J Radiol. 2020 Nov;38(11):1075-1081. doi: 10.1007/s11604-020-01012-5. Epub 2020 Jul 1. Jpn J Radiol. 2020. PMID: 32613357

10

Efficient Anomaly Detection with Generative Adversarial Network for Breast Ultrasound Imaging.

Fujioka T, Kubota K, Mori M, Kikuchi Y, Katsuta L, Kimura M, Yamaga E, Adachi M, Oda G, Nakagawa T, Kitazume Y, Tateishi U. Fujioka T, et al. Among authors: mori m. Diagnostics (Basel). 2020 Jul 4;10(7):456. doi: 10.3390/diagnostics10070456. Diagnostics (Basel). 2020. PMID: 32635547 Free PMC article.

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