Skip to main content

Advanced Image Analysis (Artificial Intelligence, Radiomics)

  1. Careful selection of malignant pleural mesothelioma (MPM) patients for curative treatment is of highest importance, as the multimodal treatment regimen is challenging for patients and harbors a high risk of su...

    Authors: M. Pavic, M. Bogowicz, J. Kraft, D. Vuong, M. Mayinger, S. G. C. Kroeze, M. Friess, T. Frauenfelder, N. Andratschke, M. Huellner, W. Weder, M. Guckenberger, S. Tanadini-Lang and I. Opitz

    Citation: EJNMMI Research 2020 10:81

    Content type: Original research

    Published on:

  2. To establish and validate 18F-fluorodeoxyglucose (18F-FDG) PET/CT-based radiomics model and use it to predict the intermediate-high risk growth patterns in early invasive adenocarcinoma (IAC).

    Authors: Xiaonan Shao, Rong Niu, Xiaoliang Shao, Zhenxing Jiang and Yuetao Wang

    Citation: EJNMMI Research 2020 10:80

    Content type: Original research

    Published on:

  3. The aim of this study was to develop and validate a prognostic model incorporating [18F]FDG PET/CT radiomics for patients of minor salivary gland carcinoma (MSGC).

    Authors: Nai-Ming Cheng, Cheng-En Hsieh, Yu-Hua Dean Fang, Chun-Ta Liao, Shu-Hang Ng, Hung-Ming Wang, Wen-Chi Chou, Chien-Yu Lin and Tzu-Chen Yen

    Citation: EJNMMI Research 2020 10:74

    Content type: Original research

    Published on:

  4. Attenuation correction (AC) of PET data is usually performed using a second imaging for the generation of attenuation maps. In certain situations however—when CT- or MR-derived attenuation maps are corrupted o...

    Authors: Karim Armanious, Tobias Hepp, Thomas Küstner, Helmut Dittmann, Konstantin Nikolaou, Christian La Fougère, Bin Yang and Sergios Gatidis

    Citation: EJNMMI Research 2020 10:53

    Content type: Original research

    Published on: