These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

103 related articles for article (PubMed ID: 33840636)

  • 1. Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications.
    Suman G; Patra A; Korfiatis P; Majumder S; Chari ST; Truty MJ; Fletcher JG; Goenka AH
    Pancreatology; 2021 Aug; 21(5):1001-1008. PubMed ID: 33840636
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Development of a volumetric pancreas segmentation CT dataset for AI applications through trained technologists: a study during the COVID 19 containment phase.
    Suman G; Panda A; Korfiatis P; Edwards ME; Garg S; Blezek DJ; Chari ST; Goenka AH
    Abdom Radiol (NY); 2020 Dec; 45(12):4302-4310. PubMed ID: 32939632
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines.
    Kiser KJ; Ahmed S; Stieb S; Mohamed ASR; Elhalawani H; Park PYS; Doyle NS; Wang BJ; Barman A; Li Z; Zheng WJ; Fuller CD; Giancardo L
    Med Phys; 2020 Nov; 47(11):5941-5952. PubMed ID: 32749075
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection of small (≤ 2 cm) pancreatic adenocarcinoma and surrounding parenchyma: correlations between enhancement patterns at triphasic MDCT and histologic features.
    Scialpi M; Cagini L; Pierotti L; De Santis F; Pusiol T; Piscioli I; Magli M; D'Andrea A; Brunese L; Rotondo A
    BMC Gastroenterol; 2014 Jan; 14():16. PubMed ID: 24447719
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Image quality of mean temporal arterial and mean temporal portal venous phase images calculated from low dose dynamic volume perfusion CT datasets in patients with hepatocellular carcinoma and pancreatic cancer.
    Wang X; Henzler T; Gawlitza J; Diehl S; Wilhelm T; Schoenberg SO; Jin ZY; Xue HD; Smakic A
    Eur J Radiol; 2016 Nov; 85(11):2104-2110. PubMed ID: 27776665
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System.
    Schelb P; Tavakoli AA; Tubtawee T; Hielscher T; Radtke JP; Görtz M; Schütz V; Kuder TA; Schimmöller L; Stenzinger A; Hohenfellner M; Schlemmer HP; Bonekamp D
    Rofo; 2021 May; 193(5):559-573. PubMed ID: 33212541
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Differentiating focal autoimmune pancreatitis and pancreatic ductal adenocarcinoma: contrast-enhanced MRI with special emphasis on the arterial phase.
    Kwon JH; Kim JH; Kim SY; Byun JH; Kim HJ; Lee MG; Lee SS
    Eur Radiol; 2019 Nov; 29(11):5763-5771. PubMed ID: 31028441
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Borderline Resectable and Locally Advanced Pancreatic Cancer: FDG PET/MRI and CT Tumor Metrics for Assessment of Pathologic Response to Neoadjuvant Therapy and Prediction of Survival.
    Panda A; Garg I; Truty MJ; Kline TL; Johnson MP; Ehman EC; Suman G; Anaam DA; Kemp BJ; Johnson GB; Halfdanarson TR; Venkatesh SK; Fidler JL; Goenka AH
    AJR Am J Roentgenol; 2021 Sep; 217(3):730-740. PubMed ID: 33084382
    [No Abstract]   [Full Text] [Related]  

  • 10. Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects.
    Kondylakis H; Kalokyri V; Sfakianakis S; Marias K; Tsiknakis M; Jimenez-Pastor A; Camacho-Ramos E; Blanquer I; Segrelles JD; López-Huguet S; Barelle C; Kogut-Czarkowska M; Tsakou G; Siopis N; Sakellariou Z; Bizopoulos P; Drossou V; Lalas A; Votis K; Mallol P; Marti-Bonmati L; Alberich LC; Seymour K; Boucher S; Ciarrocchi E; Fromont L; Rambla J; Harms A; Gutierrez A; Starmans MPA; Prior F; Gelpi JL; Lekadir K
    Eur Radiol Exp; 2023 May; 7(1):20. PubMed ID: 37150779
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dual-layer spectral CT improves image quality of multiphasic pancreas CT in patients with pancreatic ductal adenocarcinoma.
    Nagayama Y; Tanoue S; Inoue T; Oda S; Nakaura T; Utsunomiya D; Yamashita Y
    Eur Radiol; 2020 Jan; 30(1):394-403. PubMed ID: 31312889
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial intelligence: a critical review of current applications in pancreatic imaging.
    Barat M; Chassagnon G; Dohan A; Gaujoux S; Coriat R; Hoeffel C; Cassinotto C; Soyer P
    Jpn J Radiol; 2021 Jun; 39(6):514-523. PubMed ID: 33550513
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Low keV portal venous phase as a surrogate for pancreatic phase in a pancreatic protocol dual-energy CT: feasibility, image quality, and lesion conspicuity.
    Noda Y; Tochigi T; Parakh A; Joseph E; Hahn PF; Kambadakone A
    Eur Radiol; 2021 Sep; 31(9):6898-6908. PubMed ID: 33744992
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of diagnostic performance between CT and MRI in differentiating non-diffuse-type autoimmune pancreatitis from pancreatic ductal adenocarcinoma.
    Lee S; Kim JH; Kim SY; Byun JH; Kim HJ; Kim MH; Lee MG; Lee SS
    Eur Radiol; 2018 Dec; 28(12):5267-5274. PubMed ID: 29948075
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Cascaded deep learning-based auto-segmentation for head and neck cancer patients: Organs at risk on T2-weighted magnetic resonance imaging.
    Korte JC; Hardcastle N; Ng SP; Clark B; Kron T; Jackson P
    Med Phys; 2021 Dec; 48(12):7757-7772. PubMed ID: 34676555
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Technical Note: MRQy - An open-source tool for quality control of MR imaging data.
    Sadri AR; Janowczyk A; Zhou R; Verma R; Beig N; Antunes J; Madabhushi A; Tiwari P; Viswanath SE
    Med Phys; 2020 Dec; 47(12):6029-6038. PubMed ID: 33176026
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Exploring Large-scale Public Medical Image Datasets.
    Oakden-Rayner L
    Acad Radiol; 2020 Jan; 27(1):106-112. PubMed ID: 31706792
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.
    Tang X; Jafargholi Rangraz E; Coudyzer W; Bertels J; Robben D; Schramm G; Deckers W; Maleux G; Baete K; Verslype C; Gooding MJ; Deroose CM; Nuyts J
    Eur J Nucl Med Mol Imaging; 2020 Nov; 47(12):2742-2752. PubMed ID: 32314026
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals.
    Blagec K; Kraiger J; Frühwirt W; Samwald M
    J Biomed Inform; 2023 Jan; 137():104274. PubMed ID: 36539106
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential benefits of early intervention: A retrospective study.
    Singh DP; Sheedy S; Goenka AH; Wells M; Lee NJ; Barlow J; Sharma A; Kandlakunta H; Chandra S; Garg SK; Majumder S; Levy MJ; Takahashi N; Chari ST
    Pancreatology; 2020 Oct; 20(7):1495-1501. PubMed ID: 32950386
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.