output
20202022
most citedDeep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified

13 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

3 papers

astro-ph.IM2022★ 3 cited

Single Event Tolerance of X-ray SOI Pixel Sensors

Kouichi Hagino, Mitsuki Hayashida, Takayoshi Kohmura +19

We evaluate the single event tolerance of the X-ray silicon-on-insulator (SOI) pixel sensor named XRPIX, developed for the future X-ray astronomical satellite FORCE. In this work,…

astro-ph.IM2021★ 4 cited

Proton radiation hardness of X-ray SOI pixel sensors with pinned depleted diode structure

Mitsuki Hayashida, Kouichi Hagino, Takayoshi Kohmura +19

X-ray SOI pixel sensors, "XRPIX", are being developed for the next-generation X-ray astronomical satellite, "FORCE". The XRPIX are fabricated with the SOI technology, which makes i…

cs.LG2020★ 13 cited

Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified

Takuma Shibahara, Chisa Wada, Yasuho Yamashita +5

Differentiating the intrinsic subtypes of breast cancer is crucial for deciding the best treatment strategy. Deep learning can predict the subtypes from genetic information more ac…