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[Applications] 12. Image Generation Technique and Its Application to Medicine

Japanese Journal of Radiological Technology, 2024/07/20, Vol.80(7), pp.769-773

Teramoto, Atsushi

2024

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[Fundamentals] 7. An Introduction to Desktop Application Development for Real-time Image Processing with Web Camera

Japanese Journal of Radiological Technology, 2024/01/20, Vol.80(1), pp.98-103

Ogihara, Ryota

2024

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Automation of Visual Inspection with Measurement and Image Processing Technologies

JOURNAL OF THE JAPAN WELDING SOCIETY, 2023, Vol.92(8), pp.555-557

2023

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90Y ‐PET imaging: Exploring limitations and accuracy under conditions of low counts and high random fraction

Medical physics (Lancaster), 2015-07, Vol.42 (7), p.4295-4309

2015

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Denoising and Enhancing Image Quality for Detection Accuracy in Mammograms

IEEJ transactions on sensors and micromachines, 2024-10, Vol.144 (10), p.307-310

2024

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10. Compressed Sensing -Basic Understanding of Image Reconstruction

Japanese Journal of Radiological Technology, 2022/07/20, Vol.78(7), pp.760-765

Ueyama, Tsuyoshi

2022

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視線検索パターンを用いた乳房における腫瘤状陰影の領域抽出

日本放射線技術学会雑誌, 2024, Vol.80(5), pp.487-498

2024

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6. Image Quality of Iterative Reconstruction Algorithms

Japanese Journal of Radiological Technology, 2021, Vol.77(6), pp.612-621

Goto, Mitsunori

2021

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[PET] 8. Recent Progress on AI Image Reconstruction in PET

Japanese Journal of Radiological Technology, 2024/06/20, Vol.80(6), pp.679-685

Hashimoto, Fumio

2024

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[PET] 7. History of PET Image Reconstruction Methods

Japanese Journal of Radiological Technology, 2024/05/20, Vol.80(5), pp.565-573

Tashima, Hideaki

2024

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[CT] 6. The Current Situation of AI Image Reconstruction in CT

Japanese Journal of Radiological Technology, 2024/02/20, Vol.80(2), pp.252-259

Kawashima, Hiroki

2024

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[CT] 4. History of CT Image Reconstruction

Japanese Journal of Radiological Technology, 2023/12/20, Vol.79(12), pp.1403-1407

Ichikawa, Katsuhiro

2023

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Chapter 2 Building the gist of a scene: the role of global image features in recognition

Progress in Brain Research, 2006, Vol.155, p.23-36

2006

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[MRI] 3. Current Status of AI Image Reconstruction in Clinical MRI Systems

Japanese Journal of Radiological Technology, 2023/10/20, Vol.79(10), pp.1200-1209

Kojima, Shinya

2023

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運動練習側の反対側でおこなうリラックスイメージが脊髄前角細胞の興奮性変化に与える影響

関西理学療法, 2023, Vol.23, pp.57-63

2023

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Dynamic changes of the infrapatellar fat pad during knee flexion before andafter Total Knee Arthroplasty

Journal of Kansai Physical Therapy, 2023, Vol.23, pp.57-63

2023

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[MRI] 2. Recent Research on MR Image Reconstruction Using Artificial Intelligence

Japanese Journal of Radiological Technology, 2023/08/20, Vol.79(8), pp.863-869

Takeshima, Hidenori

2023

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破断面解析におけるディープラーニングの活用事例の紹介

材料, 2020/09/15, Vol.69(9), pp.644-649

山際, 謙太

2020

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Hypertension Detection in Facial Image of Visible and Near-Infrared Bands Using Sparse Coding

Denki Gakkai ronbunshi. C, Erekutoronikusu, joho kogaku, shisutemu, 2024-07, Vol.144 (7), p.672-678

2024

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救急医療におけるCTおよびMRI画像を用いた読影の補助学習支援パッケージの制作と有用性の評価

日本放射線技術学会雑誌, 2024, Vol.80(1), pp.47-55

2024

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Improvement of Image Quality in the Axial Section Using High-resolution Scan Mode and Hybrid Iterative Reconstruction in Ultra-high-resolution Computed Tomography

Japanese Journal of Radiological Technology, 2018, Vol.74(12), pp.1419-1427

2018

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Image Processing with Python and OpenCV for Beginners

Journal of the Japan Society for Precision Engineering, 2020/10/05, Vol.86(10), pp.761-764

MOMMA, Eiichiro

2020

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ディジタル画像の機械学習を用いた鋼矢板護岸における板厚評価

材料, 2022/07/15, Vol.71(7), pp.631-636

2022

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Evaluation of Low-contrast Detectability Using the Digital Phantom Creation Tool in the Late Arterial Phase to Detect Liver Mass Lesions

Japanese Journal of Radiological Technology, 2023, Vol.79(7), pp.674-681

2023

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Color Tone of Corrosion Products and Estimation of Rust Composition by Image Processing

Tetsu-to-Hagane, 2024, pp.TETSU-2024-067

2024

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[Applications] 12. Image Generation Technique and Its Application to Medicine

[Fundamentals] 7. An Introduction to Desktop Application Development for Real-time Image Processing with Web Camera

Automation of Visual Inspection with Measurement and Image Processing Technologies

90Y ‐PET imaging: Exploring limitations and accuracy under conditions of low counts and high random fraction

Denoising and Enhancing Image Quality for Detection Accuracy in Mammograms

10. Compressed Sensing -Basic Understanding of Image Reconstruction

視線検索パターンを用いた乳房における腫瘤状陰影の領域抽出

6. Image Quality of Iterative Reconstruction Algorithms

[PET] 8. Recent Progress on AI Image Reconstruction in PET

[PET] 7. History of PET Image Reconstruction Methods

[CT] 6. The Current Situation of AI Image Reconstruction in CT

[CT] 4. History of CT Image Reconstruction

Chapter 2 Building the gist of a scene: the role of global image features in recognition

[MRI] 3. Current Status of AI Image Reconstruction in Clinical MRI Systems

運動練習側の反対側でおこなうリラックスイメージが脊髄前角細胞の興奮性変化に与える影響

Dynamic changes of the infrapatellar fat pad during knee flexion before andafter Total Knee Arthroplasty

[MRI] 2. Recent Research on MR Image Reconstruction Using Artificial Intelligence

破断面解析におけるディープラーニングの活用事例の紹介

Hypertension Detection in Facial Image of Visible and Near-Infrared Bands Using Sparse Coding

救急医療におけるCTおよびMRI画像を用いた読影の補助学習支援パッケージの制作と有用性の評価

Improvement of Image Quality in the Axial Section Using High-resolution Scan Mode and Hybrid Iterative Reconstruction in Ultra-high-resolution Computed Tomography

Image Processing with Python and OpenCV for Beginners

ディジタル画像の機械学習を用いた鋼矢板護岸における板厚評価

Evaluation of Low-contrast Detectability Using the Digital Phantom Creation Tool in the Late Arterial Phase to Detect Liver Mass Lesions

Color Tone of Corrosion Products and Estimation of Rust Composition by Image Processing

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