Hirohiko Niioka

Latest

• Diagnostic performance for pulmonary adenocarcinoma on CT: comparison of radiologists with and without three-dimensional convolutional neural network
• Following Embryonic Stem Cells, Their Differentiated Progeny, and Cell-State Changes During iPS Reprogramming by Raman Spectroscopy
• Improvement of nerve imaging speed with coherent anti-Stokes Raman scattering rigid endoscope using deep-learning noise reduction
• Red-Fluorescent Pt Nanoclusters for Detecting and Imaging HER2 in Breast Cancer Cells
• Nerve segmentation with deep learning from label-free endoscopic images obtained using coherent anti-stokes Raman scattering
• Convolutional Neural Network Can Recognize Drug Resistance of Single Cancer Cells
• Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network
• Excitation of erbium-doped nanoparticles in 1550-nm wavelength region for deep tissue imaging with reduced degradation of spatial resolution
• Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma
• Invited Article: Label-free nerve imaging with a coherent anti-Stokes Raman scattering rigid endoscope using two optical fibers for laser delivery