Published on 29.11.12 in Vol 14, No 6 (2012): Nov-Dec
Works citing "Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2338):
(note that this is only a small subset of citations)
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. Crowdsourcing the Corpasome. Source Code for Biology and Medicine 2013;8(1)
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Ponti M, Hillman T, Kullenberg C, Kasperowski D. Getting it Right or Being Top Rank: Games in Citizen Science. Citizen Science: Theory and Practice 2018;3(1):1
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Kahn MJ, Maurer R, Wartman SA, Sachs BP. A Case for Change. Academic Medicine 2014;89(9):1216
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Good BM, Loguercio S, Griffith OL, Nanis M, Wu C, Su AI. The Cure: Design and Evaluation of a Crowdsourcing Game for Gene Selection for Breast Cancer Survival Prediction. JMIR Serious Games 2014;2(2):e7
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Hill S, Merchant R, Ungar L. Lessons Learned About Public Health from Online Crowd Surveillance. Big Data 2013;1(3):160
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Yu B, Willis M, Sun P, Wang J. Crowdsourcing Participatory Evaluation of Medical Pictograms Using Amazon Mechanical Turk. Journal of Medical Internet Research 2013;15(6):e108
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Ortiz-Ruiz A, Postigo M, Gil-Casanova S, Cuadrado D, Bautista JM, Rubio JM, Luengo-Oroz M, Linares M. Plasmodium species differentiation by non-expert on-line volunteers for remote malaria field diagnosis. Malaria Journal 2018;17(1)
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Dasgupta N, Freifeld C, Brownstein JS, Menone CM, Surratt HL, Poppish L, Green JL, Lavonas EJ, Dart RC. Crowdsourcing Black Market Prices For Prescription Opioids. Journal of Medical Internet Research 2013;15(8):e178
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Nguyen VT, Benchoufi M, Young B, Ghosn L, Ravaud P, Boutron I. A scoping review provided a framework for new ways of doing research through mobilizing collective intelligence. Journal of Clinical Epidemiology 2019;110:1
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Saunders DR, Bex PJ, Woods RL. Crowdsourcing a Normative Natural Language Dataset: A Comparison of Amazon Mechanical Turk and In-Lab Data Collection. Journal of Medical Internet Research 2013;15(5):e100
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Veeman M, Reeves W. Quantitative and in toto imaging in ascidians: Working toward an image‐centric systems biology of chordate morphogenesis. genesis 2015;53(1):143
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Liu F, Qin Y, Meng S, Zhang W, Tang W, Han L, Liu C, Zhang Y, Huang S, Zheng H, Yang B, Tucker JD. HIV self-testing among men who have sex with men in China: a qualitative implementation research study. Journal of Virus Eradication 2019;5(4):220
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Wang C, Han L, Stein G, Day S, Bien-Gund C, Mathews A, Ong JJ, Zhao P, Wei S, Walker J, Chou R, Lee A, Chen A, Bayus B, Tucker JD. Crowdsourcing in health and medical research: a systematic review. Infectious Diseases of Poverty 2020;9(1)
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Chu K, Smith ZJ, Wachsmann-Hogiu S. Development of inexpensive blood imaging systems: where are we now?. Expert Review of Medical Devices 2015;12(5):613
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Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187
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DAS D, MUKHERJEE R, CHAKRABORTY C. Computational microscopic imaging for malaria parasite detection: a systematic review. Journal of Microscopy 2015;260(1):1
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. Applications of crowdsourcing in health: an overview. Journal of Global Health 2018;8(1)
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Rhoads DD, Mathison BA, Bishop HS, da Silva AJ, Pantanowitz L. Review of Telemicrobiology. Archives of Pathology & Laboratory Medicine 2016;140(4):362
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Della Mea V, Maddalena E, Mizzaro S, Machin P, Beltrami CA. Preliminary results from a crowdsourcing experiment in immunohistochemistry. Diagnostic Pathology 2014;9(S1)
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Bourquard A, Pablo-Trinidad A, Butterworth I, Sánchez-Ferro , Cerrato C, Humala K, Fabra Urdiola M, Del Rio C, Valles B, Tucker-Schwartz JM, Lee ES, Vakoc BJ, Padera TP, Ledesma-Carbayo MJ, Chen Y, Hochberg EP, Gray ML, Castro-González C. Non-invasive detection of severe neutropenia in chemotherapy patients by optical imaging of nailfold microcirculation. Scientific Reports 2018;8(1)
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Linares M, Postigo M, Cuadrado D, Ortiz-Ruiz A, Gil-Casanova S, Vladimirov A, García-Villena J, Nuñez-Escobedo JM, Martínez-López J, Rubio JM, Ledesma-Carbayo MJ, Santos A, Bassat Q, Luengo-Oroz M. Collaborative intelligence and gamification for on-line malaria species differentiation. Malaria Journal 2019;18(1)
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Mitsakakis K, Hin S, Müller P, Wipf N, Thomsen E, Coleman M, Zengerle R, Vontas J, Mavridis K. Converging Human and Malaria Vector Diagnostics with Data Management towards an Integrated Holistic One Health Approach. International Journal of Environmental Research and Public Health 2018;15(2):259
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Irshad H, Oh E, Schmolze D, Quintana LM, Collins L, Tamimi RM, Beck AH. Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method. Scientific Reports 2017;7(1)
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Jorda J, Sawaya MR, Yeates TO. CrowdPhase: crowdsourcing the phase problem. Acta Crystallographica Section D Biological Crystallography 2014;70(6):1538
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Good BM, Su AI. Crowdsourcing for bioinformatics. Bioinformatics 2013;29(16):1925
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Ilakkuvan V, Tacelosky M, Ivey KC, Pearson JL, Cantrell J, Vallone DM, Abrams DB, Kirchner TR. Cameras for Public Health Surveillance: A Methods Protocol for Crowdsourced Annotation of Point-of-Sale Photographs. JMIR Research Protocols 2014;3(2):e22
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Sescleifer AM, Francoisse CA, Lin AY. Systematic Review: Online Crowdsourcing to Assess Perceptual Speech Outcomes. Journal of Surgical Research 2018;232:351
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Wang X, Mudie LI, Baskaran M, Cheng C, Alward WL, Friedman DS, Brady CJ. Crowdsourcing to Evaluate Fundus Photographs for the Presence of Glaucoma. Journal of Glaucoma 2017;26(6):505
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Ranard BL, Ha YP, Meisel ZF, Asch DA, Hill SS, Becker LB, Seymour AK, Merchant RM. Crowdsourcing—Harnessing the Masses to Advance Health and Medicine, a Systematic Review. Journal of General Internal Medicine 2014;29(1):187
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Wang X, Mudie L, Brady CJ. Crowdsourcing. Current Opinion in Ophthalmology 2016;27(3):256
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Michelucci P, Dickinson JL. The power of crowds. Science 2016;351(6268):32
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Polin MR, Siddiqui NY, Comstock BA, Hesham H, Brown C, Lendvay TS, Martino MA. Crowdsourcing: a valid alternative to expert evaluation of robotic surgery skills. American Journal of Obstetrics and Gynecology 2016;215(5):644.e1
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Vera J, Santos G. Can Gamification Contribute to Computer Modeling-Driven Biomedical Research?. Frontiers in Physiology 2018;9
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Das R, Keep B, Washington P, Riedel-Kruse IH. Scientific Discovery Games for Biomedical Research. Annual Review of Biomedical Data Science 2019;2(1):253
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Fernández D, Harel D, Ipeirotis P, McAllister T. Statistical considerations for crowdsourced perceptual ratings of human speech productions. Journal of Applied Statistics 2019;46(8):1364
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. The Potential of Crowdsourcing to Improve Patient-Centered Care. The Patient - Patient-Centered Outcomes Research 2014;7(2):123
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Meyer AN, Longhurst CA, Singh H. Crowdsourcing Diagnosis for Patients With Undiagnosed Illnesses: An Evaluation of CrowdMed. Journal of Medical Internet Research 2016;18(1):e12
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G. Rodrigo E, Aledo JA, Gámez JA. Machine learning from crowds: A systematic review of its applications. WIREs Data Mining and Knowledge Discovery 2019;9(2)
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Poostchi M, Silamut K, Maude RJ, Jaeger S, Thoma G. Image analysis and machine learning for detecting malaria. Translational Research 2018;194:36
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Wilman HR, Ebejer J, Shi J, Deane CM, Knapp B. Crowdsourcing Yields a New Standard for Kinks in Protein Helices. Journal of Chemical Information and Modeling 2014;54(9):2585
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Brady CJ, Villanti AC, Pearson JL, Kirchner TR, Gupta OP, Shah CP. Rapid Grading of Fundus Photographs for Diabetic Retinopathy Using Crowdsourcing. Journal of Medical Internet Research 2014;16(10):e233
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Cui L, Carter R, Zhang G. Evaluation of a Novel Conjunctive Exploratory Navigation Interface for Consumer Health Information: A Crowdsourced Comparative Study. Journal of Medical Internet Research 2014;16(2):e45
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Brady CJ, Mudie LI, Wang X, Guallar E, Friedman DS. Improving Consensus Scoring of Crowdsourced Data Using the Rasch Model: Development and Refinement of a Diagnostic Instrument. Journal of Medical Internet Research 2017;19(6):e222
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Bassi H, Lee CJ, Misener L, Johnson AM. Exploring the characteristics of crowdsourcing: An online observational study. Journal of Information Science 2020;46(3):291
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Zhai H, Lingren T, Deleger L, Li Q, Kaiser M, Stoutenborough L, Solti I. Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing. Journal of Medical Internet Research 2013;15(4):e73
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. Modeling Biological Systems Using Crowdsourcing. Foundations of Computing and Decision Sciences 2018;43(3):219
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Han T, Sun H, Song Y, Fang Y, Liu X. Find truth in the hands of the few: acquiring specific knowledge with crowdsourcing. Frontiers of Computer Science 2021;15(4)
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McCullough M, Auslander A, Nagengast ES, Yao CA, Swanson JW, Magee WP. The Use of Crowdsourcing Technology to Evaluate Preoperative Severity in Patients With Unilateral Cleft Lip in a Multiethnic Population. Journal of Craniofacial Surgery 2021;32(2):482
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Tsueng G, Nanis M, Fouquier JT, Mayers M, Good BM, Su AI, Wren J. Applying citizen science to gene, drug and disease relationship extraction from biomedical abstracts. Bioinformatics 2020;36(4):1226
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Delgado LG, Postigo M, Cuadrado D, Gil-Casanova S, Martínez M, Linares M, Merino P, Gimo M, Blanco S, Bassat Q, Santos A, García-Basteiro AL, Ledesma-Carbayo MJ, Luengo-Oroz M, Quinn F. Remote analysis of sputum smears for mycobacterium tuberculosis quantification using digital crowdsourcing. PLOS ONE 2022;17(5):e0268494
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Brown MI, Grossenbacher MA, Martin‐Raugh MP, Kochert J, Prewett MS. Can you crowdsource expertise? Comparing expert and crowd‐based scoring keys for three situational judgment tests. International Journal of Selection and Assessment 2021;29(3-4):467
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Maturana CR, de Oliveira AD, Nadal S, Bilalli B, Serrat FZ, Soley ME, Igual ES, Bosch M, Lluch AV, Abelló A, López-Codina D, Suñé TP, Clols ES, Joseph-Munné J. Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review. Frontiers in Microbiology 2022;13
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Alialy R, Tavakkol S, Tavakkol E, Ghorbani-Aghbologhi A, Ghaffarieh A, Kim SH, Shahabi C. A Review on the Applications of Crowdsourcing in Human Pathology. Journal of Pathology Informatics 2018;9(1):2
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Elor A, Whittaker S, Kurniawan S, Michael S. BioLumin: An Immersive Mixed Reality Experience for Interactive Microscopic Visualization and Biomedical Research Annotation. ACM Transactions on Computing for Healthcare 2022;3(4):1
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Sadeghianasl S, Hofstede AHMT, Wynn MT, Turkay S, Myers T. Process Activity Ontology Learning From Event Logs Through Gamification. IEEE Access 2021;9:165865
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Rädsch T, Reinke A, Weru V, Tizabi MD, Schreck N, Kavur AE, Pekdemir B, Roß T, Kopp-Schneider A, Maier-Hein L. Labelling instructions matter in biomedical image analysis. Nature Machine Intelligence 2023;5(3):273
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. Neglected Tropical Diseases: A Case for Promoting Innovation and Transdisciplinary Perspectives in Liberal Arts Education. Journal of College Science Teaching 2020;49(5):23
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Rubio JMB, Moyà-Alcover G, Jaume-i-Capó A, Petrović N. Crowdsourced human-based computational approach for tagging peripheral blood smear sample images from Sickle Cell Disease patients using non-expert users. Scientific Reports 2024;14(1)
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. Crowdsourcing and Human-In-The-Loop Workflows in Precision Health: Perspective (Preprint). Journal of Medical Internet Research 2023;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2338):
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Huang M, Hamarneh G. Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. 2017. Chapter 13:116
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Laato S, Hyrynsalmi SM, Paloheimo M. Software Business. 2019. Chapter 31:387
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Albarqouni S, Matl S, Baust M, Navab N, Demirci S. Deep Learning and Data Labeling for Medical Applications. 2016. Chapter 28:269
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Cacciola TP, Martino M. Comprehensive Healthcare Simulation: Surgery and Surgical Subspecialties. 2019. Chapter 30:367
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O’Neil AQ, Murchison JT, van Beek EJR, Goatman KA. Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. 2017. Chapter 11:96
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Santos CP, van de Haterd J, Hutchinson K, Khan V, Markopoulos P. End-User Development. 2017. Chapter 3:34
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Pereira Santos C, Khan V, Markopoulos P. Social Informatics. 2015. Chapter 54:448
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Kundu TK, Anguraj DK, Shetty N. Trends in Sustainable Computing and Machine Intelligence. 2024. Chapter 2:13
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