Kibo Ote

Dynamic PET Image Denoising Using Deep Convolutional Neural Networks Without Prior Training Datasets

Fumio Hashimoto, Hideo Tsukada, Hiroyuki Ohba, 2019, IEEE Access.

Emis2Trans: Attenuation Correction for Brain PET With Many Types of PET Ligands Using Convolutional Neural Networks

Hiroyuki Okada, Takashi Isobe, Fumio Hashimoto, 2019, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Application of modified guided image filter to clinical FDG-PET images.

Akihiro Nakamura, Kibo Ote, Tatsuo Torizuka, 2015 .

Compressed-Sensing Magnetic Resonance Image Reconstruction Using an Iterative Convolutional Neural Network Approach

Yasuomi Ouchi, Kibo Ote, Atsushi Teramoto, 2020, Applied Sciences.

4D deep image prior: dynamic PET image denoising using an unsupervised four-dimensional branch convolutional neural network

Akihiro Kakimoto, Fumio Hashimoto, Yasuomi Ouchi, 2020, Physics in medicine and biology.

Unsupervised Dynamic PET Image Denoising with Anatomical Information

Atsushi Teramoto, Fumio Hashimoto, Hiroyuki Ohba, 2020 .

Dynamic PET Image Denoising Using Deep Convolutional Neural Network Without Training Datasets

Hideo Tsukada, Kibo Ote, Fumio Hashimoto, 2019 .

PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model pdf

Kibo Ote, Fumio Hashimoto, Yuya Onishi, 2021, IEEE Transactions on Radiation and Plasma Medical Sciences.

Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance

Yasuomi Ouchi, Etsuji Yoshikawa, Hiroyuki Ohba, 2021, Medical Image Anal..

Performance evaluation of a high-resolution brain PET scanner using four-layer MPPC DOI detectors

Kibo Ote, T. Omura, T. Moriya, 2017, Physics in medicine and biology.