BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1505 related articles for article (PubMed ID: 30952559)

  • 1. Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.
    Kickingereder P; Isensee F; Tursunova I; Petersen J; Neuberger U; Bonekamp D; Brugnara G; Schell M; Kessler T; Foltyn M; Harting I; Sahm F; Prager M; Nowosielski M; Wick A; Nolden M; Radbruch A; Debus J; Schlemmer HP; Heiland S; Platten M; von Deimling A; van den Bent MJ; Gorlia T; Wick W; Bendszus M; Maier-Hein KH
    Lancet Oncol; 2019 May; 20(5):728-740. PubMed ID: 30952559
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study.
    Jayachandran Preetha C; Meredig H; Brugnara G; Mahmutoglu MA; Foltyn M; Isensee F; Kessler T; Pflüger I; Schell M; Neuberger U; Petersen J; Wick A; Heiland S; Debus J; Platten M; Idbaih A; Brandes AA; Winkler F; van den Bent MJ; Nabors B; Stupp R; Maier-Hein KH; Gorlia T; Tonn JC; Weller M; Wick W; Bendszus M; Vollmuth P
    Lancet Digit Health; 2021 Dec; 3(12):e784-e794. PubMed ID: 34688602
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study.
    Rastogi A; Brugnara G; Foltyn-Dumitru M; Mahmutoglu MA; Preetha CJ; Kobler E; Pflüger I; Schell M; Deike-Hofmann K; Kessler T; van den Bent MJ; Idbaih A; Platten M; Brandes AA; Nabors B; Stupp R; Bernhardt D; Debus J; Abdollahi A; Gorlia T; Tonn JC; Weller M; Maier-Hein KH; Radbruch A; Wick W; Bendszus M; Meredig H; Kurz FT; Vollmuth P
    Lancet Oncol; 2024 Mar; 25(3):400-410. PubMed ID: 38423052
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis.
    Brugnara G; Isensee F; Neuberger U; Bonekamp D; Petersen J; Diem R; Wildemann B; Heiland S; Wick W; Bendszus M; Maier-Hein K; Kickingereder P
    Eur Radiol; 2020 Apr; 30(4):2356-2364. PubMed ID: 31900702
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Response Assessment in Neuro-Oncology criteria, contrast enhancement and perfusion MRI for assessing progression in glioblastoma.
    Tensaouti F; Khalifa J; Lusque A; Plas B; Lotterie JA; Berry I; Laprie A; Cohen-Jonathan Moyal E; Lubrano V
    Neuroradiology; 2017 Oct; 59(10):1013-1020. PubMed ID: 28842741
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
    Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
    Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement.
    Chang K; Beers AL; Bai HX; Brown JM; Ly KI; Li X; Senders JT; Kavouridis VK; Boaro A; Su C; Bi WL; Rapalino O; Liao W; Shen Q; Zhou H; Xiao B; Wang Y; Zhang PJ; Pinho MC; Wen PY; Batchelor TT; Boxerman JL; Arnaout O; Rosen BR; Gerstner ER; Yang L; Huang RY; Kalpathy-Cramer J
    Neuro Oncol; 2019 Nov; 21(11):1412-1422. PubMed ID: 31190077
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study.
    Sun R; Limkin EJ; Vakalopoulou M; Dercle L; Champiat S; Han SR; Verlingue L; Brandao D; Lancia A; Ammari S; Hollebecque A; Scoazec JY; Marabelle A; Massard C; Soria JC; Robert C; Paragios N; Deutsch E; Ferté C
    Lancet Oncol; 2018 Sep; 19(9):1180-1191. PubMed ID: 30120041
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.
    Bien N; Rajpurkar P; Ball RL; Irvin J; Park A; Jones E; Bereket M; Patel BN; Yeom KW; Shpanskaya K; Halabi S; Zucker E; Fanton G; Amanatullah DF; Beaulieu CF; Riley GM; Stewart RJ; Blankenberg FG; Larson DB; Jones RH; Langlotz CP; Ng AY; Lungren MP
    PLoS Med; 2018 Nov; 15(11):e1002699. PubMed ID: 30481176
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networks.
    Pflüger I; Wald T; Isensee F; Schell M; Meredig H; Schlamp K; Bernhardt D; Brugnara G; Heußel CP; Debus J; Wick W; Bendszus M; Maier-Hein KH; Vollmuth P
    Neurooncol Adv; 2022; 4(1):vdac138. PubMed ID: 36105388
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study.
    Vollmuth P; Foltyn M; Huang RY; Galldiks N; Petersen J; Isensee F; van den Bent MJ; Barkhof F; Park JE; Park YW; Ahn SS; Brugnara G; Meredig H; Jain R; Smits M; Pope WB; Maier-Hein K; Weller M; Wen PY; Wick W; Bendszus M
    Neuro Oncol; 2023 Mar; 25(3):533-543. PubMed ID: 35917833
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Towards effective machine learning in medical imaging analysis: A novel approach and expert evaluation of high-grade glioma 'ground truth' simulation on MRI.
    Sepehri K; Song X; Proulx R; Hajra SG; Dobberthien B; Liu CC; D'Arcy RCN; Murray D; Krauze AV
    Int J Med Inform; 2021 Feb; 146():104348. PubMed ID: 33285357
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Refinement of response assessment in neuro-oncology (RANO) using non-enhancing lesion type and contrast enhancement evolution pattern in IDH wild-type glioblastomas.
    Moon HH; Kim HS; Park JE; Kim YH; Kim JH
    BMC Cancer; 2021 Jun; 21(1):654. PubMed ID: 34074252
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients.
    Nalepa J; Kotowski K; Machura B; Adamski S; Bozek O; Eksner B; Kokoszka B; Pekala T; Radom M; Strzelczak M; Zarudzki L; Krason A; Arcadu F; Tessier J
    Comput Biol Med; 2023 Mar; 154():106603. PubMed ID: 36738710
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PET imaging of meningioma with 18F-FLT: a predictor of tumour progression.
    Bashir A; Vestergaard MB; Marner L; Larsen VA; Ziebell M; Fugleholm K; Law I
    Brain; 2020 Dec; 143(11):3308-3317. PubMed ID: 33141151
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation of Standard Response Assessment in Neuro-Oncology, Modified Response Assessment in Neuro-Oncology, and Immunotherapy Response Assessment in Neuro-Oncology in Newly Diagnosed and Recurrent Glioblastoma.
    Youssef G; Rahman R; Bay C; Wang W; Lim-Fat MJ; Arnaout O; Bi WL; Cagney DN; Chang YS; Cloughesy TF; DeSalvo M; Ellingson BM; Flood TF; Gerstner ER; Gonzalez Castro LN; Guenette JP; Kim AE; Lee EQ; McFaline-Figueroa JR; Potter CA; Reardon DA; Huang RY; Wen PY
    J Clin Oncol; 2023 Jun; 41(17):3160-3171. PubMed ID: 37027809
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Brain morphometry reproducibility in multi-center 3T MRI studies: a comparison of cross-sectional and longitudinal segmentations.
    Jovicich J; Marizzoni M; Sala-Llonch R; Bosch B; Bartrés-Faz D; Arnold J; Benninghoff J; Wiltfang J; Roccatagliata L; Nobili F; Hensch T; Tränkner A; Schönknecht P; Leroy M; Lopes R; Bordet R; Chanoine V; Ranjeva JP; Didic M; Gros-Dagnac H; Payoux P; Zoccatelli G; Alessandrini F; Beltramello A; Bargalló N; Blin O; Frisoni GB;
    Neuroimage; 2013 Dec; 83():472-84. PubMed ID: 23668971
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fully Automated MR Detection and Segmentation of Brain Metastases in Non-small Cell Lung Cancer Using Deep Learning.
    Jünger ST; Hoyer UCI; Schaufler D; Laukamp KR; Goertz L; Thiele F; Grunz JP; Schlamann M; Perkuhn M; Kabbasch C; Persigehl T; Grau S; Borggrefe J; Scheffler M; Shahzad R; Pennig L
    J Magn Reson Imaging; 2021 Nov; 54(5):1608-1622. PubMed ID: 34032344
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated Tumor Segmentation and Brain Tissue Extraction from Multiparametric MRI of Pediatric Brain Tumors: A Multi-Institutional Study.
    Kazerooni AF; Arif S; Madhogarhia R; Khalili N; Haldar D; Bagheri S; Familiar AM; Anderson H; Haldar S; Tu W; Kim MC; Viswanathan K; Muller S; Prados M; Kline C; Vidal L; Aboian M; Storm PB; Resnick AC; Ware JB; Vossough A; Davatzikos C; Nabavizadeh A
    medRxiv; 2023 Jan; ():. PubMed ID: 36711966
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study.
    Zhang G; Fu DJ; Liefers B; Faes L; Glinton S; Wagner S; Struyven R; Pontikos N; Keane PA; Balaskas K
    Lancet Digit Health; 2021 Oct; 3(10):e665-e675. PubMed ID: 34509423
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 76.