192 related articles for article (PubMed ID: 30786065)
1. Crowdsourcing to delineate skin affected by chronic graft-vs-host disease.
Tkaczyk ER; Coco JR; Wang J; Chen F; Ye C; Jagasia MH; Dawant BM; Fabbri D
Skin Res Technol; 2019 Jul; 25(4):572-577. PubMed ID: 30786065
[TBL] [Abstract][Full Text] [Related]
2. Crowdsourcing Skin Demarcations of Chronic Graft-Versus-Host Disease in Patient Photographs: Training Versus Performance Study.
McNeil AJ; Parks K; Liu X; Jiang B; Coco J; McCool K; Fabbri D; Duhaime EP; Dawant BM; Tkaczyk ER
JMIR Dermatol; 2023 Dec; 6():e48589. PubMed ID: 38147369
[TBL] [Abstract][Full Text] [Related]
3. Crowdsourcing image annotation for nucleus detection and segmentation in computational pathology: evaluating experts, automated methods, and the crowd.
Irshad H; Montaser-Kouhsari L; Waltz G; Bucur O; Nowak JA; Dong F; Knoblauch NW; Beck AH
Pac Symp Biocomput; 2015; ():294-305. PubMed ID: 25592590
[TBL] [Abstract][Full Text] [Related]
4. Rapid grading of fundus photographs for diabetic retinopathy using crowdsourcing.
Brady CJ; Villanti AC; Pearson JL; Kirchner TR; Gupta OP; Shah CP
J Med Internet Res; 2014 Oct; 16(10):e233. PubMed ID: 25356929
[TBL] [Abstract][Full Text] [Related]
5. Non-Expert Markings of Active Chronic Graft-Versus-Host Disease Photographs: Optimal Metrics of Training Effects.
Parks K; Liu X; Reasat T; Khera Z; Baker LX; Chen H; Dawant BM; Saknite I; Tkaczyk ER
J Digit Imaging; 2023 Feb; 36(1):373-378. PubMed ID: 36344635
[TBL] [Abstract][Full Text] [Related]
6. Agreement Between Experts and an Untrained Crowd for Identifying Dermoscopic Features Using a Gamified App: Reader Feasibility Study.
Kentley J; Weber J; Liopyris K; Braun RP; Marghoob AA; Quigley EA; Nelson K; Prentice K; Duhaime E; Halpern AC; Rotemberg V
JMIR Med Inform; 2023 Jan; 11():e38412. PubMed ID: 36652282
[TBL] [Abstract][Full Text] [Related]
7. Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks.
Washington P; Kalantarian H; Tariq Q; Schwartz J; Dunlap K; Chrisman B; Varma M; Ning M; Kline A; Stockham N; Paskov K; Voss C; Haber N; Wall DP
J Med Internet Res; 2019 May; 21(5):e13668. PubMed ID: 31124463
[TBL] [Abstract][Full Text] [Related]
8. An evaluation of Cochrane Crowd found that crowdsourcing produced accurate results in identifying randomized trials.
Noel-Storr A; Dooley G; Elliott J; Steele E; Shemilt I; Mavergames C; Wisniewski S; McDonald S; Murano M; Glanville J; Foxlee R; Beecher D; Ware J; Thomas J
J Clin Epidemiol; 2021 May; 133():130-139. PubMed ID: 33476769
[TBL] [Abstract][Full Text] [Related]
9. Improving Consensus Scoring of Crowdsourced Data Using the Rasch Model: Development and Refinement of a Diagnostic Instrument.
Brady CJ; Mudie LI; Wang X; Guallar E; Friedman DS
J Med Internet Res; 2017 Jun; 19(6):e222. PubMed ID: 28634154
[TBL] [Abstract][Full Text] [Related]
10. A study of crowdsourced segment-level surgical skill assessment using pairwise rankings.
Malpani A; Vedula SS; Chen CC; Hager GD
Int J Comput Assist Radiol Surg; 2015 Sep; 10(9):1435-47. PubMed ID: 26133652
[TBL] [Abstract][Full Text] [Related]
11. Crowdsourced Assessment of Aesthetic Outcomes after Breast Reconstruction.
Teotia SS; Alford JA; Kadakia Y; Haddock NT
Plast Reconstr Surg; 2021 Mar; 147(3):570-577. PubMed ID: 33620921
[TBL] [Abstract][Full Text] [Related]
12. A Virtual Reading Center Model Using Crowdsourcing to Grade Photographs for Trachoma: Validation Study.
Brady CJ; Cockrell RC; Aldrich LR; Wolle MA; West SK
J Med Internet Res; 2023 Apr; 25():e41233. PubMed ID: 37023420
[TBL] [Abstract][Full Text] [Related]
13. Baseline Photos and Confident Annotation Improve Automated Detection of Cutaneous Graft-Versus-Host Disease.
Liu X; Parks K; Saknite I; Reasat T; Cronin AD; Wheless LE; Dawant BM; Tkaczyk ER
Clin Hematol Int; 2021 Sep; 3(3):108-115. PubMed ID: 34820616
[TBL] [Abstract][Full Text] [Related]
14. Crowdsourcing the Citation Screening Process for Systematic Reviews: Validation Study.
Nama N; Sampson M; Barrowman N; Sandarage R; Menon K; Macartney G; Murto K; Vaccani JP; Katz S; Zemek R; Nasr A; McNally JD
J Med Internet Res; 2019 Apr; 21(4):e12953. PubMed ID: 31033444
[TBL] [Abstract][Full Text] [Related]
15. Mapping of Crowdsourcing in Health: Systematic Review.
Créquit P; Mansouri G; Benchoufi M; Vivot A; Ravaud P
J Med Internet Res; 2018 May; 20(5):e187. PubMed ID: 29764795
[TBL] [Abstract][Full Text] [Related]
16. Crowdsourcing for error detection in cortical surface delineations.
Ganz M; Kondermann D; Andrulis J; Knudsen GM; Maier-Hein L
Int J Comput Assist Radiol Surg; 2017 Jan; 12(1):161-166. PubMed ID: 27350057
[TBL] [Abstract][Full Text] [Related]
17. Crowdsourcing to Evaluate Fundus Photographs for the Presence of Glaucoma.
Wang X; Mudie LI; Baskaran M; Cheng CY; Alward WL; Friedman DS; Brady CJ
J Glaucoma; 2017 Jun; 26(6):505-510. PubMed ID: 28319525
[TBL] [Abstract][Full Text] [Related]
18. Citation screening using crowdsourcing and machine learning produced accurate results: Evaluation of Cochrane's modified Screen4Me service.
Noel-Storr A; Dooley G; Affengruber L; Gartlehner G
J Clin Epidemiol; 2021 Feb; 130():23-31. PubMed ID: 33007457
[TBL] [Abstract][Full Text] [Related]
19. Consensus on performing skin biopsies, laboratory workup, evaluation of tissue samples and reporting of the results in patients with suspected cutaneous graft-versus-host disease.
Hillen U; Häusermann P; Massi D; Janin A; Wolff D; Lawitschka A; Greinix H; Meyer R; Ziemer M
J Eur Acad Dermatol Venereol; 2015 May; 29(5):948-54. PubMed ID: 25265987
[TBL] [Abstract][Full Text] [Related]
20. Efficient crowdsourcing of crowd-generated microtasks.
Hotaling A; Bagrow JP
PLoS One; 2020; 15(12):e0244245. PubMed ID: 33332455
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]