Real-Time Processing of Two-Photon Calcium Imaging Data Including Lateral Motion Artifact Correction. - Akinori Mitani; Takaki Komiyama (Frontiers Neuroinformatics, 2018)

Learning and plasticity for a brain-computer interface task with two-photon calcium imaging - Akinori Mitani (2018)

Detecting Anemia from Retinal Fundus Images. - Akinori Mitani; Yun Liu 013; Abigail E. Huang; Gregory S. Corrado; Lily Peng; Dale R. Webster; Naama Hammel; Avinash V. Varadarajan (CoRR, 2019)

Predicting Risk of Developing Diabetic Retinopathy using Deep Learning. - Ashish Bora; Siva Balasubramanian; Boris Babenko; Sunny Virmani; Subhashini Venugopalan; Akinori Mitani; Guilherme de Oliveira Marinho; Jorge Cuadros; Paisan Ruamviboonsuk; Gregory S. Corrado; Lily Peng; Dale R. Webster; et al. (CoRR, 2020)

Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation. - Joy Hsu; Sonia Phene; Akinori Mitani; Jieying Luo; Naama Hammel; Jonathan Krause; Rory Sayres (CoRR, 2020)

Detecting hidden signs of diabetes in external eye photographs. - Boris Babenko; Akinori Mitani; Ilana Traynis; Naho Kitade; Preeti Singh; April Y. Maa; Jorge Cuadros; Greg Corrado; Lily Peng; Dale R. Webster; Avinash V. Varadarajan; Naama Hammel; et al. (CoRR, 2020)

Underspecification Presents Challenges for Credibility in Modern Machine Learning. - Alexander D'Amour; Katherine A. Heller; Dan Moldovan; Ben Adlam; Babak Alipanahi; Alex Beutel; Christina Chen; Jonathan Deaton; Jacob Eisenstein; Matthew D. Hoffman; Farhad Hormozdiari; Neil Houlsby; et al. (J. Mach. Learn. Res., 2022)

Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision. - Gregory Holste; Douwe van der Wal; Hans Pinckaers; Rikiya Yamashita; Akinori Mitani; Andre Esteva (ISBI, 2023)