BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

180 related articles for article (PubMed ID: 34471144)

  • 21. Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study.
    Lee HW; Yang HJ; Kim H; Kim UH; Kim DH; Yoon SH; Ham SY; Nam BD; Chae KJ; Lee D; Yoo JY; Bak SH; Kim JY; Kim JH; Kim KB; Jung JI; Lim JK; Lee JE; Chung MJ; Lee YK; Kim YS; Lee SM; Kwon W; Park CM; Kim YH; Jeong YJ; Jin KN; Goo JM
    J Med Internet Res; 2023 Feb; 25():e42717. PubMed ID: 36795468
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Deep learning assistance for tuberculosis diagnosis with chest radiography in low-resource settings.
    Nijiati M; Zhang Z; Abulizi A; Miao H; Tuluhong A; Quan S; Guo L; Xu T; Zou X
    J Xray Sci Technol; 2021; 29(5):785-796. PubMed ID: 34219703
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.
    Zech JR; Badgeley MA; Liu M; Costa AB; Titano JJ; Oermann EK
    PLoS Med; 2018 Nov; 15(11):e1002683. PubMed ID: 30399157
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Simplified Transfer Learning for Chest Radiography Models Using Less Data.
    Sellergren AB; Chen C; Nabulsi Z; Li Y; Maschinot A; Sarna A; Huang J; Lau C; Kalidindi SR; Etemadi M; Garcia-Vicente F; Melnick D; Liu Y; Eswaran K; Tse D; Beladia N; Krishnan D; Shetty S
    Radiology; 2022 Nov; 305(2):454-465. PubMed ID: 35852426
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Radiologist-Trained AI Model for Identifying Suboptimal Chest-Radiographs.
    Dasegowda G; Bizzo BC; Gupta RV; Kaviani P; Ebrahimian S; Ricciardelli D; Abedi-Tari F; Neumark N; Digumarthy SR; Kalra MK; Dreyer KJ
    Acad Radiol; 2023 Dec; 30(12):2921-2930. PubMed ID: 37019698
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.
    Yang Y; Lure FYM; Miao H; Zhang Z; Jaeger S; Liu J; Guo L
    J Xray Sci Technol; 2021; 29(1):1-17. PubMed ID: 33164982
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Learning to Generalize Towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection From Chest X-Rays.
    Zunaed M; Haque MA; Hasan T
    IEEE J Biomed Health Inform; 2024 Jun; 28(6):3626-3636. PubMed ID: 38442052
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training.
    Rueckel J; Huemmer C; Fieselmann A; Ghesu FC; Mansoor A; Schachtner B; Wesp P; Trappmann L; Munawwar B; Ricke J; Ingrisch M; Sabel BO
    Eur Radiol; 2021 Oct; 31(10):7888-7900. PubMed ID: 33774722
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Refining dataset curation methods for deep learning-based automated tuberculosis screening.
    Kim TK; Yi PH; Hager GD; Lin CT
    J Thorac Dis; 2020 Sep; 12(9):5078-5085. PubMed ID: 33145084
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study.
    Jang SB; Lee SH; Lee DE; Park SY; Kim JK; Cho JW; Cho J; Kim KB; Park B; Park J; Lim JK
    PLoS One; 2020; 15(11):e0242759. PubMed ID: 33232368
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images.
    Li J; Wang Y; Wang S; Wang J; Liu J; Jin Q; Sun L
    IEEE J Biomed Health Inform; 2021 May; 25(5):1336-1346. PubMed ID: 33560995
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs.
    Chung M; Kong ST; Park B; Chung Y; Jung KH; Seo JB
    J Digit Imaging; 2022 Aug; 35(4):1061-1068. PubMed ID: 35304676
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset.
    Gozes O; Greenspan H
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4076-4079. PubMed ID: 31946767
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.
    Kim YG; Lee SM; Lee KH; Jang R; Seo JB; Kim N
    Eur Radiol; 2020 Sep; 30(9):4943-4951. PubMed ID: 32350657
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement.
    Trivedi A; Robinson C; Blazes M; Ortiz A; Desbiens J; Gupta S; Dodhia R; Bhatraju PK; Liles WC; Kalpathy-Cramer J; Lee AY; Lavista Ferres JM
    PLoS One; 2022; 17(10):e0274098. PubMed ID: 36201483
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Artificial Intelligence Solutions for Analysis of X-ray Images.
    Adams SJ; Henderson RDE; Yi X; Babyn P
    Can Assoc Radiol J; 2021 Feb; 72(1):60-72. PubMed ID: 32757950
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Tracking and predicting COVID-19 radiological trajectory on chest X-rays using deep learning.
    Gourdeau D; Potvin O; Archambault P; Chartrand-Lefebvre C; Dieumegarde L; Forghani R; Gagné C; Hains A; Hornstein D; Le H; Lemieux S; Lévesque MH; Martin D; Rosenbloom L; Tang A; Vecchio F; Yang I; Duchesne N; Duchesne S
    Sci Rep; 2022 Apr; 12(1):5616. PubMed ID: 35379856
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Automated Chest X-Ray Screening: Can Lung Region Symmetry Help Detect Pulmonary Abnormalities?
    Santosh KC; Antani S
    IEEE Trans Med Imaging; 2018 May; 37(5):1168-1177. PubMed ID: 29727280
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Performance of a Severity Score on Admission Chest Radiography in Predicting Clinical Outcomes in Hospitalized Patients With Coronavirus Disease (COVID-19).
    Reeves RA; Pomeranz C; Gomella AA; Gulati A; Metra B; Hage AN; Lange S; Parekh M; Donuru A; Lakhani P; Sundaram B
    AJR Am J Roentgenol; 2021 Sep; 217(3):623-632. PubMed ID: 33112201
    [No Abstract]   [Full Text] [Related]  

  • 40. A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study.
    Zou XL; Ren Y; Feng DY; He XQ; Guo YF; Yang HL; Li X; Fang J; Li Q; Ye JJ; Han LQ; Zhang TT
    PLoS One; 2020; 15(7):e0236378. PubMed ID: 32706807
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.