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zadetkov: 571
1.
  • New applications of magnetic resonance imaging for thoracic oncology
    Ohno, Yoshiharu Seminars in respiratory and critical care medicine, 02/2014, Letnik: 35, Številka: 1
    Journal Article
    Recenzirano

    Since the clinical introduction of magnetic resonance imaging (MRI), the chest has been one of its most challenging applications, and since the 1980s many physicists and radiologists have been trying ...
Preverite dostopnost
2.
  • Expanding Applications of P... Expanding Applications of Pulmonary MRI in the Clinical Evaluation of Lung Disorders: Fleischner Society Position Paper
    Hatabu, Hiroto; Ohno, Yoshiharu; Gefter, Warren B ... Radiology 297, Številka: 2
    Journal Article
    Recenzirano
    Odprti dostop

    Pulmonary MRI provides structural and quantitative functional images of the lungs without ionizing radiation, but it has had limited clinical use due to low signal intensity from the lung parenchyma. ...
Celotno besedilo

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3.
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4.
  • Deep Learning Reconstruction of Diffusion-weighted MRI Improves Image Quality for Prostatic Imaging
    Ueda, Takahiro; Ohno, Yoshiharu; Yamamoto, Kaori ... Radiology, 05/2022, Letnik: 303, Številka: 2
    Journal Article
    Recenzirano

    Background Deep learning reconstruction (DLR) may improve image quality. However, its impact on diffusion-weighted imaging (DWI) of the prostate has yet to be assessed. Purpose To determine whether ...
Preverite dostopnost
5.
  • Radiomics and its emerging ... Radiomics and its emerging role in lung cancer research, imaging biomarkers and clinical management: State of the art
    Lee, Geewon; Lee, Ho Yun, MD, PhD; Park, Hyunjin ... European journal of radiology, 01/2017, Letnik: 86
    Journal Article
    Recenzirano
    Odprti dostop

    Highlights • Radiomics is defined as the use of automated or semi-automated post-processing and analysis of large amounts of quantitative imaging features that can be derived from medical images. • ...
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6.
  • Compressed sensing and deep... Compressed sensing and deep learning reconstruction for women’s pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice
    Ueda, Takahiro; Ohno, Yoshiharu; Yamamoto, Kaori ... European journal of radiology, January 2021, 2021-Jan, 2021-01-00, 20210101, Letnik: 134
    Journal Article
    Recenzirano
    Odprti dostop

    •Compressed SPEEDER can shorten examination time compared with conventional SPEEDER.•AiCE (denoising using Deep learning) can improve image quality of MRI.•Compressed SPEEDER and AiCE are more useful ...
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7.
  • Compressed sensing and para... Compressed sensing and parallel imaging accelerated T2 FSE sequence for head and neck MR imaging: Comparison of its utility in routine clinical practice
    Ikeda, Hirotaka; Ohno, Yoshiharu; Murayama, Kazuhiro ... European journal of radiology, February 2021, 2021-Feb, 2021-02-00, 20210201, Letnik: 135
    Journal Article
    Recenzirano

    •Compressed sensing (CS) is a new method for head and neck MR image acquisition.•Parallel imaging (PI) with CS can reduce examination time as compared with PI.•The new sequence performed slightly ...
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8.
  • Chemical Exchange Saturation Transfer MR Imaging: Preliminary Results for Differentiation of Malignant and Benign Thoracic Lesions
    Ohno, Yoshiharu; Yui, Masao; Koyama, Hisanobu ... Radiology 279, Številka: 2
    Journal Article
    Recenzirano
    Odprti dostop

    To prospectively evaluate the capability of amide proton transfer-weighted chemical exchange saturation transfer magnetic resonance (MR) imaging for characterization of thoracic lesions. The ...
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9.
  • Screening for lung cancer: ... Screening for lung cancer: Does MRI have a role?
    Biederer, Juergen, MD; Ohno, Yoshiharu, MD, PhD; Hatabu, Hiroto, MD ... European journal of radiology, 01/2017, Letnik: 86
    Journal Article
    Recenzirano

    Highlights • From a technical point of view, the feasibility of using MRI for lung cancer screening is evident. • Experience with the clinical use of lung MRI is growing, standardized protocols are ...
Celotno besedilo
10.
  • Differentiation of Benign f... Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT
    Ohno, Yoshiharu; Aoyagi, Kota; Yaguchi, Atsushi ... Radiology, 08/2020, Letnik: 296, Številka: 2
    Journal Article
    Recenzirano
    Odprti dostop

    Background Deep learning may help to improve computer-aided detection of volume (CADv) measurement of pulmonary nodules at chest CT. Purpose To determine the efficacy of a deep learning method for ...
Celotno besedilo

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zadetkov: 571

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