Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospec... by Kohji Nishida, Ryo Kawasaki, Yiming Qian, Liangzhi Li, Yuta Nakashima, Hajime Nagahara

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning by Jiahao Zhang, Bowen Wang, Hong Liu, Liangzhi Li, Yuta Nakashima, Hajime Nagahara

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Learning More May Not Be Better: Knowledge Transferability in Vision-and-Language Tasks by Tianwei Chen, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Hajime Nagahara

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Channel and model selection for multi-channel EEG input to neural networks by Kento Harachi, Yusuke Yamamoto, Ayumi Muramatsu, Hajime Nagahara, Noriko Takemura, Shinji Shimojo, Daisuke Furihata, Yuko Mizuno-Matsumoto

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Selective identification of polyploid hepatocellular carcinomas with poor prognosis by artificial intelligence-based pathological image recognition by Takanori Matsuura, Masatoshi Abe, Yoshiyuki Harada, Masahiro Kido, Hajime Nagahara, Yuzo Kodama, Yoshihide Ueda, Eiji Hara, Hirohiko Niioka, Tomonori Matsumoto

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Deep learning-based screening for locomotive syndrome using single-camera walking video: Development and validation study. by Junichi Kushioka, Satoru Tada, Noriko Takemura, Taku Fujimoto, Hajime Nagahara, Masahiko Onoe, Keiko Yamada, Rodrigo Navarro-Ramirez, Takenori Oda, Hideki Mochizuki, Ken Nakata, Seiji Okada, Yu Moriguchi

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