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 *

168 related articles for article (PubMed ID: 35380492)

  • 1. Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning.
    Tallam H; Elton DC; Lee S; Wakim P; Pickhardt PJ; Summers RM
    Radiology; 2022 Jul; 304(1):85-95. PubMed ID: 35380492
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Visceral adiposity and inflammatory bowel disease.
    Rowan CR; McManus J; Boland K; O'Toole A
    Int J Colorectal Dis; 2021 Nov; 36(11):2305-2319. PubMed ID: 34104989
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment.
    Graffy PM; Sandfort V; Summers RM; Pickhardt PJ
    Radiology; 2019 Nov; 293(2):334-342. PubMed ID: 31526254
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fully Automated Deep Learning Tool for Sarcopenia Assessment on CT: L1 Versus L3 Vertebral Level Muscle Measurements for Opportunistic Prediction of Adverse Clinical Outcomes.
    Pickhardt PJ; Perez AA; Garrett JW; Graffy PM; Zea R; Summers RM
    AJR Am J Roentgenol; 2022 Jan; 218(1):124-131. PubMed ID: 34406056
    [No Abstract]   [Full Text] [Related]  

  • 5. Technical and Clinical Factors Affecting Success Rate of a Deep Learning Method for Pancreas Segmentation on CT.
    Bagheri MH; Roth H; Kovacs W; Yao J; Farhadi F; Li X; Summers RM
    Acad Radiol; 2020 May; 27(5):689-695. PubMed ID: 31537506
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Opportunistic Osteoporosis Screening at Routine Abdominal and Thoracic CT: Normative L1 Trabecular Attenuation Values in More than 20 000 Adults.
    Jang S; Graffy PM; Ziemlewicz TJ; Lee SJ; Summers RM; Pickhardt PJ
    Radiology; 2019 May; 291(2):360-367. PubMed ID: 30912719
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events.
    Magudia K; Bridge CP; Bay CP; Farah S; Babic A; Fintelmann FJ; Brais LK; Andriole KP; Wolpin BM; Rosenthal MH
    AJR Am J Roentgenol; 2023 Feb; 220(2):236-244. PubMed ID: 36043607
    [No Abstract]   [Full Text] [Related]  

  • 9. Automated Comprehensive CT Assessment of the Risk of Diabetes and Associated Cardiometabolic Conditions.
    Chang Y; Yoon SH; Kwon R; Kang J; Kim YH; Kim JM; Chung HJ; Choi J; Jung HS; Lim GY; Ahn J; Wild SH; Byrne CD; Ryu S
    Radiology; 2024 Aug; 312(2):e233410. PubMed ID: 39105639
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Utility of Fully Automated Body Composition Measures on Pretreatment Abdominal CT for Predicting Survival in Patients With Colorectal Cancer.
    Lee MH; Pickhardt SG; Garrett JW; Perez AA; Zea R; Valle KF; Lubner MG; Bates DDB; Summers RM; Pickhardt PJ
    AJR Am J Roentgenol; 2023 Mar; 220(3):371-380. PubMed ID: 36000663
    [No Abstract]   [Full Text] [Related]  

  • 11. Abdominal CT Body Composition Thresholds Using Automated AI Tools for Predicting 10-year Adverse Outcomes.
    Lee MH; Zea R; Garrett JW; Graffy PM; Summers RM; Pickhardt PJ
    Radiology; 2023 Feb; 306(2):e220574. PubMed ID: 36165792
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.
    Magudia K; Bridge CP; Bay CP; Babic A; Fintelmann FJ; Troschel FM; Miskin N; Wrobel WC; Brais LK; Andriole KP; Wolpin BM; Rosenthal MH
    Radiology; 2021 Feb; 298(2):319-329. PubMed ID: 33231527
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence aided image segmentation: Associations with body composition and pancreatic cancer risk.
    Janssens LP; Weston AD; Singh D; Spears G; Harmsen WS; Takahashi N; Philbrick KA; Erickson BJ; Abu Dayyeh BK; Chari ST; Chandrasekhara V; Gleeson FC; Levy MJ; Pearson RK; Petersen BT; Vege SS; Majumder S
    Pancreatology; 2021 Dec; 21(8):1524-1530. PubMed ID: 34507900
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Pancreatic fat fraction in dual-energy computed tomography as a potential quantitative parameter in the detection of type 2 diabetes mellitus.
    Huang S; Liang Y; Zhong X; Luo Q; Yao X; Nong Z; Luo Y; Luo L; Jiang W; Qin X; Lv Y
    Eur J Radiol; 2023 Feb; 159():110668. PubMed ID: 36608599
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Utilizing Fully Automated Abdominal CT-Based Biomarkers for Opportunistic Screening for Metabolic Syndrome in Adults Without Symptoms.
    Pickhardt PJ; Graffy PM; Zea R; Lee SJ; Liu J; Sandfort V; Summers RM
    AJR Am J Roentgenol; 2021 Jan; 216(1):85-92. PubMed ID: 32603223
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment.
    Graffy PM; Liu J; Pickhardt PJ; Burns JE; Yao J; Summers RM
    Br J Radiol; 2019 Aug; 92(1100):20190327. PubMed ID: 31199670
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Risk factor analysis of postoperative pancreatic fistula after distal pancreatectomy, with a focus on pancreas-visceral fat CT value ratio and serrated pancreatic contour.
    Maeda K; Kuriyama N; Yuge T; Ito T; Gyoten K; Hayasaki A; Fujii T; Iizawa Y; Murata Y; Tanemura A; Kishiwada M; Sakurai H; Mizuno S
    BMC Surg; 2022 Jun; 22(1):240. PubMed ID: 35733145
    [TBL] [Abstract][Full Text] [Related]  

  • 18. From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans.
    Li Z; Zhong Z; Li Y; Zhang T; Gao L; Jin D; Sun Y; Ye X; Yu L; Hu Z; Xiao J; Huang L; Tang Y
    Eur Radiol; 2020 Dec; 30(12):6828-6837. PubMed ID: 32683550
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study.
    Chen PT; Wu T; Wang P; Chang D; Liu KL; Wu MS; Roth HR; Lee PC; Liao WC; Wang W
    Radiology; 2023 Jan; 306(1):172-182. PubMed ID: 36098642
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography.
    Park HJ; Shin Y; Park J; Kim H; Lee IS; Seo DW; Huh J; Lee TY; Park T; Lee J; Kim KW
    Korean J Radiol; 2020 Jan; 21(1):88-100. PubMed ID: 31920032
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.