Literature DB >> 31825291

Artificial Intelligence in PET/CT Is about to Make Whole-Body Tumor Burden Measurements a Clinical Reality.

Jerry W Froelich1, Ali Salavati1.   

Abstract

Year:  2019        PMID： 31825291     DOI： 10.1148/radiol.2019192425

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


× No keyword cloud information.
  5 in total

Review 1.  [18F]FDG-PET Evaluation of Spinal Pathology in Patients in Oncology: Pearls and Pitfalls for the Neuroradiologist.

Authors:  P Y Patel; I Dalal; B Griffith
Journal:  AJNR Am J Neuroradiol       Date:  2021-10-28       Impact factor: 3.825

Review 2.  Molecular imaging in oncology: Current impact and future directions.

Authors:  Steven P Rowe; Martin G Pomper
Journal:  CA Cancer J Clin       Date:  2021-12-13       Impact factor: 286.130

Review 3.  Artificial intelligence with deep learning in nuclear medicine and radiology.

Authors:  Milan Decuyper; Jens Maebe; Roel Van Holen; Stefaan Vandenberghe
Journal:  EJNMMI Phys       Date:  2021-12-11

4.  First-Line Pembrolizumab Mono- or Combination Therapy of Non-Small Cell Lung Cancer: Baseline Metabolic Biomarkers Predict Outcomes.

Authors:  David Lang; Linda Ritzberger; Vanessa Rambousek; Andreas Horner; Romana Wass; Kaveh Akbari; Bernhard Kaiser; Jürgen Kronbichler; Bernd Lamprecht; Michael Gabriel
Journal:  Cancers (Basel)       Date:  2021-12-03       Impact factor: 6.639

Review 5.  Metabolic Volume Measurements in Multiple Myeloma.

Authors:  Maria Emilia Seren Takahashi; Irene Lorand-Metze; Carmino Antonio de Souza; Claudio Tinoco Mesquita; Fernando Amorim Fernandes; José Barreto Campello Carvalheira; Celso Dario Ramos
Journal:  Metabolites       Date:  2021-12-16
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.