Kibo Ote

According to our database, Kibo Ote authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

List-Mode PET Image Reconstruction Using Dykstra-Like Splitting.

Kibo Ote, Fumio Hashimoto, Yuya Onishi, Yasuomi Ouchi

CoRR, 2024

2023

List-Mode PET Image Reconstruction Using Deep Image Prior.

Kibo Ote, Fumio Hashimoto, Yuya Onishi, Takashi Isobe, Yasuomi Ouchi

IEEE Trans. Medical Imaging, June, 2023

ReconU-Net: a direct PET image reconstruction using U-Net architecture with back projection-induced skip connection.

Fumio Hashimoto, Kibo Ote

CoRR, 2023

Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising.

Yuya Onishi, Fumio Hashimoto, Kibo Ote, Keisuke Matsubara, Masanobu Ibaraki

CoRR, 2023

2022

Fully 3D Implementation of the End-to-end Deep Image Prior-based PET Image Reconstruction Using Block Iterative Algorithm.

Fumio Hashimoto, Yuya Onishi, Kibo Ote, Hideaki Tashima, Taiga Yamaya

CoRR, 2022

2021

Anatomical-guided attention enhances unsupervised PET image denoising performance.

Yuya Onishi, Fumio Hashimoto, Kibo Ote, Hiroyuki Ohba, Ryosuke Ota, Etsuji Yoshikawa, Yasuomi Ouchi

Medical Image Anal., 2021

Direct PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model.

Fumio Hashimoto, Kibo Ote

CoRR, 2021

2019

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

Fumio Hashimoto, Hiroyuki Ohba, Kibo Ote, Atsushi Teramoto, Hideo Tsukada

IEEE Access, 2019