Mizuho Nishio

Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques

Shunjiro Noguchi, Mizuho Nishio, Masahiro Yakami et al. · Computers in Biology and Medicine · 2020 · 104 citations

Computed Tomography, Whole-body Ct, Bone Segmentation +11

N Stage Disease in Patients with Non–Small Cell Lung Cancer: Efficacy of Quantitative and Qualitative Assessment with STIR Turbo Spin-Echo Imaging, Diffusion-weighted MR Imaging, and Fluorodeoxyglucose PET/CT

Yoshiharu Ohno, Hisanobu Koyama, Takeshi Yoshikawa et al. · Radiology · 2011 · 98 citations

Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on 18F FDG-PET/CT

Sho Koyasu, Mizuho Nishio, Hiroyoshi Isoda et al. · Annals of Nuclear Medicine · 2019 · 88 citations

Oncology, Gradient Tree, Medicine +10

Automatic segmentation of the uterus on MRI using a convolutional neural network

Yasuhisa Kurata, Mizuho Nishio, Aki Kido et al. · Computers in Biology and Medicine · 2019 · 82 citations

Convolutional Neural Network, Image Analysis, Engineering +14

Solitary Pulmonary Nodules: Comparison of Dynamic First-Pass Contrast-enhanced Perfusion Area-Detector CT, Dynamic First-Pass Contrast-enhanced MR Imaging, and FDG PET/CT

Yoshiharu Ohno, Mizuho Nishio, Hisanobu Koyama et al. · Radiology · 2014 · 75 citations