Presentations

Flow Matching for PET Image Reconstruction

F. Hashimoto, Z. Huang, K. Gong

The 2026 IEEE Nuclear Science Symposium and Medical Imaging Conference, Spain, 2026. (Oral presentation)

Deep learning-based estimation of individual scintillation photon arrival times for enhanced TOF resolution

Y. Onishi, R. Ota, F. Hashimoto, K. Ote, G. Akamatsu, H. Tashima, T. Yamaya

The 2026 IEEE Nuclear Science Symposium and Medical Imaging Conference, Spain, 2026. (Oral presentation)

CT Image Reconstruction Using Deep Image Prior with VoxelMorph

K. Hori, F. Hashimoto, T. Hashimoto

The 2026 IEEE Nuclear Science Symposium and Medical Imaging Conference, Spain, 2026.

Plug-and-Play PET Image Reconstruction Using Diffusion Models

T. Minagawa, F. Hashimoto, K. Hori, T. Hashimoto

The 2026 IEEE Nuclear Science Symposium and Medical Imaging Conference, Spain, 2026.

Image Improvement in X-ray Fluorescence Computed Tomography Using Deep Image Prior with X-ray Transmission Images

T. Ono, S. Kusakari, F. Hashimoto, R. Abe, M. Kobayashi, T. Sasaya, N. Sunaguchi, S. Takeda, H. Kawashima, T. Yuasa, T. Zeniya

The 2026 IEEE Nuclear Science Symposium and Medical Imaging Conference, Spain, 2026.

Vision–Language Model- and Large Language Model-Driven Intelligent Multi-Agent Framework for Low-Dose PET Denoising

B. Yu, S. Ozdemir, Y. Xing, F. Hashimoto, J. Wu, Y. Chen, A. Rominger, K. Shi, T. Pan, and K. Gong

Biomedical Engineering Society (BMES) Annual Meeting 2026, October, 2026. (Oral presentation)

Enhancing Tau PET Image Quality via Deep Diffusion Image Prior-Based Reconstruction

F. Hashimoto, J. Y. Lee, C. Tissot, B. Suzanne, and K. Gong

Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting 2026, June, 2026. (Oral presentation)

Abstract

VLM- and LLM-Driven Intelligent Multi-Agent Low-Dose PET Image Denoising

B. Yu, S. Ozdemir, Y. Xing, F. Hashimoto, J. Wu, Y. Chen, A. Rominger, K. Shi, T. Pan, and K. Gong

Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting 2026, June, 2026. (Oral presentation)

Abstract

MR-Guided PET Image Quality Enhancement by Combining Diffusion Models and the Kernel Method

Z. Huang, F. Hashimoto, E. Thibault, J. Becker, B. Yu, J. Price, K. Johnson, and Kuang Gong

Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting 2026, June, 2026.

Abstract

Synthetic CT Generation for Rb-82 PET Attenuation Correction Using 3D Diffusion Models

B. Yu, W. Qi, L. Yang, F. Hashimoto, J. Kolthammer, and K. Gong

The 2025 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2025. (Oral presentation)

Abstract

Optimizing Convergence Speed in Multikernel TOF-PET Reconstruction Using ADMM

K. Ote, F. Hashimoto, Y. Onishi, R. Ota, M. Toussaint, and F. Loignon-Houle

The 2025 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2025.

Abstract

Synergistic PET and Compton Image Reconstruction for 89Zr Whole Gamma Imaging

H. Tashima, F. Hashimoto, S. Takyu, G. Akamatsu, K. Ote, and T. Yamaya

The 2025 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2025.

Abstract

PET Image Reconstruction Based on Deep Diffusion Image Prior

F. Hashimoto and K. Gong

The 2025 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2025. (Oral presentation)

Abstract

Single Photon Response-Informed Neural Network for Photon Timestamp Recovery and Improved CTR

Y. Onishi, K. Ote, F. Hashimoto, and R. Ota

The 2025 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2025. (Oral presentation)

Abstract

Simulation Study of a Panel-Type PET Geometry: Effect of TOF and Sensitivity on Image Quality

T. Ishikawa, G. Akamatsu, H. Tashima, F. Nishikido, F. Hashimoto, R. Ota, H. Haneishi, S.I. Kwon, S. R. Cherry, and T. Yamaya

The 2024 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2024.

Abstract

An Approach to Reliable PET Image Denoising Using Deep Image Prior

F. Hashimoto, K. Ote, H. Tashima, G. Akamatsu, Y. Iwao, M. Takahashi, and T. Yamaya

The 2024 IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct. 2024.

Abstract

Synergistic PET-Compton Reconstruction for Whole Gamma Imaging of Positron Emitters

F. Hashimoto, H. Tashima, K. Ote, T. Yamaya

The 2024 IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct. 2024.

Abstract

List-Mode PET Image Reconstruction Using Dykstra-Like Splitting

K. Ote, F. Hashimoto, Y. Onishi, and Y. Ouchi

The 2024 IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct. 2024.

Abstract

Single Photon Response Deconvolution for Boosting an Understanding of BGO Emission

Y. Onishi, K. Ote, F. Hashimoto, and R. Ota

The 2024 IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct. 2024.

Abstract

Sino2Sino: deep learning-based direct sparse-view CT reconstruction with only sinogram data training

T. Okamoto, F. Hashimoto, and H. Haneishi

The 2024 IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct. 2024.

Abstract

Dual-panel PET system to be enabled by 30-ps super-fast detector: simulation study

T. Yamaya, T. Ishikawa, G. Akamatsu, H. Tashima, F. Nishikido, M. Takahashi, F. Hashimoto, R. Ota, S. I. Kwon, and S. R. Cherry

Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting 2024, June, 2024.

Abstract

Dual-panel geometry for PET-guided therapy to be enabled by super-fast detector: simulation study

T. Yamaya, T. Ishikawa, G. Akamatsu, H. Tashima, F. Nishikido, M. Takahashi, C. Toramatsu, Y. Iwao, F. Hashimoto, R. Ota, S. I. Kwon, and S. R. Cherry

The 10th Conference on PET, SPECT, and MR Multimodal Technologies, Total Body and Fast Timing in Medical Imaging, May, 2024. (Oral presentation)

Uncertainty-based mixture of a deep image prior and an original reconstructed images in PET

F. Hashimoto, K. Ote, H. Tashima, G. Akamatsu, Y. Iwao, M. Takahashi, and T. Yamaya

The 3rd International Conference on Radiological Physics and Technology, April, 2024. (Oral presentation)

Dual-panel PET system to be enabled by 30-ps super-fast detector: a preliminary simulation study

T. Yamaya, T. Ishikawa, G. Akamatsu, H. Tashima, F. Nishikido, M. Takahashi, F. Hashimoto, and R. Ota

The 3rd International Conference on Radiological Physics and Technology, April, 2024. (Oral presentation)

Accelerated Deep Image Prior-based PET Image Reconstruction Using Two-Step Optimization

F. Hashimoto, Y. Onishi, K. Ote, H. Tashima, and T. Yamaya

The 2023 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2023.

Abstract

ReconU-Net: Direct PET Image Reconstruction Using Back Projection-induced Skip Connection

F. Hashimoto, K. Ote, and Y. Onishi

The 2023 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2023.

Abstract

Proposal of Morphological Imaging for direct Positron Emission Imaging

Y. Onishi, F. Hashimoto, K. Ote, and R. Ota

The 2023 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2023. (Oral presentation)

Abstract

End-to-end Unsupervised CNN-based PET Image Reconstruction with Relative Difference Penalty

F. Hashimoto, K. Ote, Y. Onishi, H. Tashima, and T. Yamaya

The 2nd International Conference on Radiological Physics and Technology, April, 2023. (Oral presentation)

3D Implementation of the End-to-end Deep Image Prior-based PET Image Reconstruction

F. Hashimoto, K. Ote, Y. Onishi, H. Tashima, and T. Yamaya

The 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2022. (Oral presentation)

Using Self-Supervised Pretraining Model for Unsupervised PET Image Denoising

Y. Onishi, F. Hashimoto, K. Ote, K. Matsubara, and M. Ibaraki

The 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2022.

List-Mode PET Image Reconstruction Using Deep Image Prior

K. Ote, F. Hashimoto, Y. Onishi, and T. Isobe

The 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2022.

Reconstruction-free imaging of positron-emitting radionuclides using ultra-fast detectors

R. Ota, S. I. Kwon, E. Berg, F. Hashimoto, K. Nakajima, I. Ogawa, Y. Tamagawa, T. Omura, T. Hasegawa, and S. R. Cherry

The virtual 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2021. (Oral presentation)

Unsupervised PET Image Denoising Using Attention-Guided Anatomical Information

Y. Onishi, F. Hashimoto, K. Ote, H. Ohba, R. Ota, E. Yoshikawa, and Y. Ouchi

The virtual 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2021. (Oral presentation)

Deep Learning-based Fast TOF-PET Image Reconstruction Using Direction Information

K. Ote, and F. Hashimoto

The virtual 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2021. (Oral presentation)

Dynamic PET Image Denoising Using 4-dimensional Deep Image Prior

F. Hashimoto, H. Ohba, K. Ote, A. Kakimoto, H. Tsukada, A. Teramoto, and Y. Ouchi

The virtual 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2020.

Direct Annihilation Position Regression based on Deep Learning and Digital Offset using Pair of Cherenkov Detectors: Monte Carlo Study

K. Ote, R. Ota, F. Hashimoto, and T. Hasegawa

The virtual 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2020.

Correction of the influence of cataract on macular pigment measurement by autofluorescence technique using deep learning

A. Obana, K. Ote, F. Hashimoto, Y. Gohto, S. Okazaki, and H. Yamada

Association for Research in Vision and Ophthalmology (ARVO) 2020 Annual Meeting, June, 2020.

End-to-end Dynamic PET Image Denoising Using 4-dimensional Unsupervised Convolutional Neural Network

F. Hashimoto, H. Ohba, K. Ote, A. Kakimoto, H. Tsukada, A. Teramoto, and Y. Ouchi

The 18th Conference of Peace through Mind/Brain Science, Feb. 2020.

Kinetics-Induced Block Matching and 5D Transform Domain Filtering for Dynamic PET Image Denoising

K. Ote, F. Hashimoto, A. Kakimoto, T. Isobe, T. Inubushi, A. Tokui, A. Saito, T. Omura, E. Yoshikawa, A. Teramoto, and Y. Ouchi

The 18th Conference of Peace through Mind/Brain Science, Feb. 2020.

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

F. Hashimoto, M. Ito, K. Ote, T. Isobe, H. Okada, Y. Ouchi

The 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct. 2019.

Abstract

Block Matching and 5D Filtering of Dynamic PET Images

K. Ote, F. Hashimoto, A. Kakimoto, T. Isobe, A. Tokui, E. Yoshikawa, T. Omura, A. Teramoto, and Y. Ouchi

The 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct. 2019.

Direct Annihilation Position Classification based on Deep Learning using Pair of Cherenkov Detectors: Monte Carlo Study

K. Ote, R. Ota, F. Hashimoto, and T. Hasegawa

The 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct. 2019.

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

F. Hashimoto, K. Ote, and H. Tsukada

Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting 2019, June, 2019. (Oral presentation)

Abstract

Using deep learning to Estimate 3D Interaction Position in Cherenkov-based Detector: A Monte Carlo Simulation Study

F. Hashimoto, K. Ote, R. Ota, R. Yamada, and T. Hasegawa

The 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, Nov. 2018. (Oral presentation)

Dynamic PET Denoising by Image Guided Filtering: A Preliminary Study

F. Hashimoto, H. Ohba, K. Ote, and H. Tsukada

The 17th Conference of Peace through Mind/Brain Science, Feb. 2018.

Novel Concept for Dose Reduction -Region-setting CT: Is Multileaf Collimator Also Valuable for Diagnostic CT?

F. Hashimoto, A. Teramoto, Y. Asada, S. Suzuki, and H. Fujita

RSNA2015, Dec. 2015. (Oral presentation)

A preliminary study on the development of a region-setting CT system using multi-leaf active collimators

F. Hashimoto, A. Teramoto, S. Suzuki, and H. Fujita

The International Forum on Medical Imaging in Asia, Jan. 2015.

A basic study on region setting CT system: three-dimensional data collection and reconstruction using experimental system

F. Hashimoto, C. Murata, A. Teramoto, S. Suzuki, and H. Fujita

The 15th Asian Oceanian Congress of Radiology 2014, Sep. 2014.

Basic study on the development of a high-resolution breast CT

A. Teramoto, T. Ohno, F. Hashimoto, C. Murata, K. Takahashi, and H. Fujita

International Workshop on Breast Imaging, June. 2014.

Educational system of computed tomography using optical computed tomography

C. Murata, F. Hashimoto, A. Teramoto, and H. Fujita

Computer Assisted Radiology and Surgery 28th International Congress and Exhibition, June. 2014.