BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

218 related articles for article (PubMed ID: 32643769)

  • 1. AI in Radiology: Where are we today in Multiple Sclerosis Imaging?
    Eichinger P; Zimmer C; Wiestler B
    Rofo; 2020 Sep; 192(9):847-853. PubMed ID: 32643769
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Structured Reporting in Multiple Sclerosis - Consensus-Based Reporting Templates for Magnetic Resonance Imaging of the Brain and Spinal Cord.
    Riederer I; Mühlau M; Wiestler B; Bender B; Hempel JM; Kowarik M; Huber T; Zimmer C; Andrisan T; Patzig M; Zimmermann H; Havla J; Berlis A; Behrens L; Beer M; Dietrich J; Sollmann N; Kirschke JS
    Rofo; 2023 Feb; 195(2):135-138. PubMed ID: 35913055
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The emerging role of artificial intelligence in multiple sclerosis imaging.
    Afzal HMR; Luo S; Ramadan S; Lechner-Scott J
    Mult Scler; 2022 May; 28(6):849-858. PubMed ID: 33112207
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial Intelligence in Oncological Hybrid Imaging.
    Feuerecker B; Heimer MM; Geyer T; Fabritius MP; Gu S; Schachtner B; Beyer L; Ricke J; Gatidis S; Ingrisch M; Cyran CC
    Rofo; 2023 Feb; 195(2):105-114. PubMed ID: 36170852
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial intelligence in cardiac radiology.
    van Assen M; Muscogiuri G; Caruso D; Lee SJ; Laghi A; De Cecco CN
    Radiol Med; 2020 Nov; 125(11):1186-1199. PubMed ID: 32946002
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Exploring individual multiple sclerosis lesion volume change over time: Development of an algorithm for the analyses of longitudinal quantitative MRI measures.
    Köhler C; Wahl H; Ziemssen T; Linn J; Kitzler HH
    Neuroimage Clin; 2019; 21():101623. PubMed ID: 30545687
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial intelligence applied to MRI data to tackle key challenges in multiple sclerosis.
    Collorone S; Coll L; Lorenzi M; Lladó X; Sastre-Garriga J; Tintoré M; Montalban X; Rovira À; Pareto D; Tur C
    Mult Scler; 2024 Jun; 30(7):767-784. PubMed ID: 38738527
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial intelligence in the diagnosis of multiple sclerosis: A systematic review.
    Nabizadeh F; Masrouri S; Ramezannezhad E; Ghaderi A; Sharafi AM; Soraneh S; Naser Moghadasi A
    Mult Scler Relat Disord; 2022 Mar; 59():103673. PubMed ID: 35180619
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An energy minimization method for MS lesion segmentation from T1-w and FLAIR images.
    Zhao Y; Guo S; Luo M; Liu Y; Bilello M; Li C
    Magn Reson Imaging; 2017 Jun; 39():1-6. PubMed ID: 27343952
    [TBL] [Abstract][Full Text] [Related]  

  • 10. AI musculoskeletal clinical applications: how can AI increase my day-to-day efficiency?
    Shin Y; Kim S; Lee YH
    Skeletal Radiol; 2022 Feb; 51(2):293-304. PubMed ID: 34341865
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Role of artificial intelligence in MS clinical practice.
    Bonacchi R; Filippi M; Rocca MA
    Neuroimage Clin; 2022; 35():103065. PubMed ID: 35661470
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation.
    González-Villà S; Valverde S; Cabezas M; Pareto D; Vilanova JC; Ramió-Torrentà L; Rovira À; Oliver A; Lladó X
    Neuroimage Clin; 2017; 15():228-238. PubMed ID: 28540179
    [TBL] [Abstract][Full Text] [Related]  

  • 13. AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans.
    Khattap MG; Abd Elaziz M; Hassan HGEMA; Elgarayhi A; Sallah M
    Sci Rep; 2024 May; 14(1):12104. PubMed ID: 38802440
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Non-locally regularized segmentation of multiple sclerosis lesion from multi-channel MRI data.
    Gao J; Li C; Feng C; Xie M; Yin Y; Davatzikos C
    Magn Reson Imaging; 2014 Oct; 32(8):1058-66. PubMed ID: 24948583
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism.
    Li D; Liu X
    Occup Ther Int; 2022; 2022():7117986. PubMed ID: 35821708
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Optimizing the use of radiologist seed points for improved multiple sclerosis lesion segmentation.
    McAusland J; Tam RC; Wong E; Riddehough A; Li DK
    IEEE Trans Biomed Eng; 2010 Nov; 57(11):. PubMed ID: 20601307
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images.
    Jain S; Sima DM; Ribbens A; Cambron M; Maertens A; Van Hecke W; De Mey J; Barkhof F; Steenwijk MD; Daams M; Maes F; Van Huffel S; Vrenken H; Smeets D
    Neuroimage Clin; 2015; 8():367-75. PubMed ID: 26106562
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Role of artificial intelligence in multiple sclerosis management.
    Alshamrani F
    Eur Rev Med Pharmacol Sci; 2024 May; 28(10):3542-3547. PubMed ID: 38856129
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images.
    Rachmadi MF; Valdés-Hernández MDC; Li H; Guerrero R; Meijboom R; Wiseman S; Waldman A; Zhang J; Rueckert D; Wardlaw J; Komura T
    Comput Med Imaging Graph; 2020 Jan; 79():101685. PubMed ID: 31846826
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Demystification of AI-driven medical image interpretation: past, present and future.
    Savadjiev P; Chong J; Dohan A; Vakalopoulou M; Reinhold C; Paragios N; Gallix B
    Eur Radiol; 2019 Mar; 29(3):1616-1624. PubMed ID: 30105410
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.