Oral Session

Oral Session
Deep Learning Techniques 1

Fri. Sep 20, 2024 1:30 PM - 2:30 PM Room 6 (Makuhari Messe International Conference Hall, Meeting Room 303)

Chairs: Kumamoto Etsuko(Graduate School of System Informatics, Kobe University), Sato Hirotaka(Department of Radiology, Chiba University Hospital)

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[OS1-26] The effects of T2 values and imaging resolution on deep learning reconstruction images

*Hiroyuki Hoshiko¹, Akiyoshi Yamamoto¹, Yurie Miyano¹, Masaaki Ninomiya¹, Seigo Yoshida¹, Katsumi Nakamura¹ (1. Tobata Kyoritsu Hospital, Diagnostic Imaging Center)

[OS1-27] Effect of Denoising Intensity and Edge Enhancement Filter Intensity on Images in Deep Learning Image Reconstruction

*Yuhei Higuchi¹, Kunihiro Yabe¹ (1. Department of Radiological Technology, Yamagata Prefectural Shinjo Hospital)

[OS1-28] Study on image quality evaluation of deep learning reconstruction in MR images with multiple structured phantoms

*Ryutaro Mori¹, Kazuhiko Oyu², Takuma Daimaruya², Yohei Funato², Tsudou Watanebe¹, Shota Hosokawa¹, Koichi Okuda¹, Yasuyuki Takahashi¹ (1. Department of Radiation Science, Hirosaki University, Graduate School of Health Sciences)

[OS1-29] Accelerated quantitative parameter mapping without fully sampled data using self-supervised learning

*Naoto Fujita¹, Suguru Yokosawa², Toru Shirai², Yasuhiko Terada¹ (1. Graduate School of Science and Technology, University of Tsukuba, 2. FUJIFILM Corporation, Medical Systems Research & Development Center)

[OS1-30] Test-Time Augmentation for Uncertainty Quantification in pre-trained image reconstruction deep learning networks

*Satoshi Kuroki¹, Naoto Fujita¹, Fu Ziyu¹, Yasuhiko Terada¹ (1. Degree Programs in Pure and Applied Science, Graduate School of Science and Technology, University of Tsukuba)

[OS1-31] Volunteer image evaluation of a sharpness-preserving CNN-based truncation artifact reduction technique

*Chikako Moriwake¹, Hiroki Shoji¹, Katsunari Nagashima¹, Masahiro Takizawa¹, Toru Shirai², Yoshihisa Soutome² (1. Medical System Research & Development Center, FUJIFILM Healthcare Corporation)