Detection of anaemia from retinal fundus images via deep learning von Mitani, Akinori, Huang, Abigail, Venugopalan, Subhashini, Corrado, Greg S., Peng, Lily, Webster, Dale R., Hammel, Naama, Liu, Yun, Varadarajan, Avinash V.

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Task-Specific Employment of Sensory Signals Underlies Rapid Task Switching von Sasaki, Ryo, Kumano, Hironori, Mitani, Akinori, Suda, Yuki, Uka, Takanori

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Real-Time Processing of Two-Photon Calcium Imaging Data Including Lateral Motion Artifact Correction von Mitani, Akinori, Komiyama, Takaki

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Detection of signs of disease in external photographs of the eyes via deep learning von Babenko, Boris, Mitani, Akinori, Traynis, Ilana, Kitade, Naho, Singh, Preeti, Maa, April Y., Cuadros, Jorge, Corrado, Greg S., Peng, Lily, Webster, Dale R., Varadarajan, Avinash, Hammel, Naama, Liu, Yun

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Retinal detection of kidney disease and diabetes von Mitani, Akinori, Hammel, Naama, Liu, Yun

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A leaky-integrator model as a control mechanism underlying flexible decision making during task switching von Mitani, Akinori, Sasaki, Ryo, Oizumi, Masafumi, Uka, Takanori

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Author Correction: Detection of anaemia from retinal fundus images via deep learning von Mitani, Akinori, Huang, Abigail, Venugopalan, Subhashini, Corrado, Greg S., Peng, Lily, Webster, Dale R., Hammel, Naama, Liu, Yun, Varadarajan, Avinash V.

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Brain-Computer Interface with Inhibitory Neurons Reveals Subtype-Specific Strategies von Mitani, Akinori, Dong, Mingyuan, Komiyama, Takaki

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Whisker row deprivation affects the flow of sensory information through rat barrel cortex von Jacob, Vincent, Mitani, Akinori, Toyoizumi, Taro, Fox, Kevin

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Apolipoprotein E, especially apolipoprotein E4, increases the oligomerization of amyloid β peptide von Hashimoto, Tadafumi, Serrano-Pozo, Alberto, Hori, Yukiko, Adams, Kenneth W, Takeda, Shuko, Banerji, Adrian Olaf, Mitani, Akinori, Joyner, Daniel, Thyssen, Diana H, Bacskai, Brian J, Frosch, Matthew P, Spires-Jones, Tara L, Finn, Mary Beth, Holtzman, David M, Hyman, Bradley T

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Predicting the risk of developing diabetic retinopathy using deep learning von Bora, Ashish, Balasubramanian, Siva, Babenko, Boris, Virmani, Sunny, Venugopalan, Subhashini, Mitani, Akinori, de Oliveira Marinho, Guilherme, Cuadros, Jorge, Ruamviboonsuk, Paisan, Corrado, Greg S, Peng, Lily, Webster, Dale R, Varadarajan, Avinash V, Hammel, Naama, Liu, Yun, Bavishi, Pinal

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Disengagement of motor cortex from movement control during long-term learning von Hwang, Eun Jung, Dahlen, Jeffrey E, Hu, Yvonne Yuling, Aguilar, Karina, Yu, Bin, Mukundan, Madan, Mitani, Akinori, Komiyama, Takaki

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Digital histopathology-based multimodal artificial intelligence scores predict risk of progression in a randomized phase III trial in patients with nonmetastatic castration-resista... von Feng, Felix Y, Smith, Matthew Raymond, Saad, Fred, Mobadersany, Pooya, Tian, Shaozhou Ken, Yip, Stephen S. F., Greshock, Joel, Khan, Najat, Yu, Margaret K., McCarthy, Sharon, Brookman-May, Sabine D., Todorovic, Tamara, Yamashita, Rikiya, Huang, Huei-Chung Rebecca, Showalter, Timothy N, Mitani, Akinori, Esteva, Andre, Small, Eric Jay

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Detection of anaemia from retinal fundus images via deeplearning von Mitani Akinori, Huang, Abigail, Venugopalan Subhashini, Corrado, Greg S, Peng, Lily, Webster, Dale R, Hammel Naama, Liu, Yun, Varadarajan, Avinash V

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A bounded leaky integrator model can explain variations in reaction time during task switching von Mitani, Akinori, Oizumi, Masafumi, Sasaki, Ryo, Uka, Takanori

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Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision von Holste, Gregory, van der Wal, Douwe, Pinckaers, Hans, Yamashita, Rikiya, Mitani, Akinori, Esteva, Andre

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Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation von Hsu, Joy, Phene, Sonia, Mitani, Akinori, Luo, Jieying, Hammel, Naama, Krause, Jonathan, Sayres, Rory

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PROCESSING FUNDUS IMAGES USING MACHINE LEARNING MODELS TO GENERATE BLOOD-RELATED PREDICTIONS von VARADARAJAN, Avinash Vaidyanathan, MITANI, Akinori, SEMTURS, Christopher, WEBSTER, Dale R, PENG, Lily Hao Yi

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MACHINE LEARNING FOR DETECTION OF DISEASES FROM EXTERNAL ANTERIOR EYE IMAGES von VARADARAJAN, Avinash Vaidyanathan, MITANI, Akinori, LIU, Yun, HAMMEL, Naama, BABENKO, Boris Aleksandrovich, WU, Derek Janme, BORA, Ashish Dilipchand

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Processing fundus images using machine learning models to generate blood-related predictions von Webster, Dale R, Mitani, Akinori, Peng, Lily Hao Yi, Varadarajan, Avinash Vaidyanathan, Semturs, Christopher

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