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3841.
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Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study. [electronic resource] by
- Betancur, Julian
- Commandeur, Frederic
- Motlagh, Mahsaw
- Sharir, Tali
- Einstein, Andrew J
- Bokhari, Sabahat
- Fish, Mathews B
- Ruddy, Terrence D
- Kaufmann, Philipp
- Sinusas, Albert J
- Miller, Edward J
- Bateman, Timothy M
- Dorbala, Sharmila
- Di Carli, Marcelo
- Germano, Guido
- Otaki, Yuka
- Tamarappoo, Balaji K
- Dey, Damini
- Berman, Daniel S
- Slomka, Piotr J
Producer: 20191120
In:
JACC. Cardiovascular imaging vol. 11
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3842.
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3843.
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Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features. [electronic resource] by
- Wang, Clinton J
- Hamm, Charlie A
- Savic, Lynn J
- Ferrante, Marc
- Schobert, Isabel
- Schlachter, Todd
- Lin, MingDe
- Weinreb, Jeffrey C
- Duncan, James S
- Chapiro, Julius
- Letzen, Brian
Producer: 20190826
In:
European radiology vol. 29
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3844.
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Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning. [electronic resource] by
- Zhou, Li-Qiang
- Wu, Xing-Long
- Huang, Shu-Yan
- Wu, Ge-Ge
- Ye, Hua-Rong
- Wei, Qi
- Bao, Ling-Yun
- Deng, You-Bin
- Li, Xing-Rui
- Cui, Xin-Wu
- Dietrich, Christoph F
Producer: 20200420
In:
Radiology vol. 294
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Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer. [electronic resource] by
- Zheng, Xueyi
- Yao, Zhao
- Huang, Yini
- Yu, Yanyan
- Wang, Yun
- Liu, Yubo
- Mao, Rushuang
- Li, Fei
- Xiao, Yang
- Wang, Yuanyuan
- Hu, Yixin
- Yu, Jinhua
- Zhou, Jianhua
Producer: 20200706
In:
Nature communications vol. 11
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Association of Cardiovascular Mortality and Deep Learning-Funduscopic Atherosclerosis Score derived from Retinal Fundus Images. [electronic resource] by
- Chang, Jooyoung
- Ko, Ahryoung
- Park, Sang Min
- Choi, Seulggie
- Kim, Kyuwoong
- Kim, Sung Min
- Yun, Jae Moon
- Kang, Uk
- Shin, Il Hyung
- Shin, Joo Young
- Ko, Taehoon
- Lee, Jinho
- Oh, Baek-Lok
- Park, Ki Ho
Producer: 20201006
In:
American journal of ophthalmology vol. 217
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3855.
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3856.
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Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images. [electronic resource] by
- Asaoka, Ryo
- Murata, Hiroshi
- Hirasawa, Kazunori
- Fujino, Yuri
- Matsuura, Masato
- Miki, Atsuya
- Kanamoto, Takashi
- Ikeda, Yoko
- Mori, Kazuhiko
- Iwase, Aiko
- Shoji, Nobuyuki
- Inoue, Kenji
- Yamagami, Junkichi
- Araie, Makoto
Producer: 20191121
In:
American journal of ophthalmology vol. 198
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3857.
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3858.
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A Novel Deep Learning Approach with a 3D Convolutional Ladder Network for Differential Diagnosis of Idiopathic Normal Pressure Hydrocephalus and Alzheimer's Disease. [electronic resource] by
- Irie, Ryusuke
- Otsuka, Yujiro
- Hagiwara, Akifumi
- Kamagata, Koji
- Kamiya, Kouhei
- Suzuki, Michimasa
- Wada, Akihiko
- Maekawa, Tomoko
- Fujita, Shohei
- Kato, Shimpei
- Nakajima, Madoka
- Miyajima, Masakazu
- Motoi, Yumiko
- Abe, Osamu
- Aoki, Shigeki
Producer: 20210416
In:
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine vol. 19
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