Yasukuni Mori

Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer

Yosuke Iwatate, Isamu Hoshino, Hajime Yokota et al. · British Journal of Cancer · 2020 · 107 citations · Full text

Medicine, Oncology, Pathology +17

A Deep Convolutional Neural Network With Performance Comparable to Radiologists for Differentiating Between Spinal Schwannoma and Meningioma

Satoshi Maki, Takeo Furuya, Takuro Horikoshi et al. · Spine · 2019 · 50 citations

Medicine, Oncology, Radiology +17

Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer

Yasukuni Mori, Hajime Yokota, Isamu Hoshino et al. · Scientific Reports · 2021 · 27 citations · Full text

Medicine, Bioinformatics, Oncology +17

Multidimensional Deep Learning Reduces False-Positives in the Automated Detection of Cerebral Aneurysms on Time-Of-Flight Magnetic Resonance Angiography: A Multi-Center Study

Yuki Terasaki, Hajime Yokota, Kohei Tashiro et al. · Frontiers in Neurology · 2022 · 26 citations · Full text

Medicine, Computer Science, Radiology +17

Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer

Yosuke Iwatate, Hajime Yokota, Isamu Hoshino et al. · PLoS ONE · 2022 · 21 citations · Full text

Medicine, Bioinformatics, Oncology +17