KarenDrukkerKaren Drukker41.78927490000000-87.601250000000001691Drukker, KarenMedical ImagingRadiomicsDeep learningStatisticsCommunicationCOVID-19Dr. Drukker has been involved in research at the University of Chicago for 20+ years. Her interests include machine learning applications in the detection, diagnosis, and prognosis of breast cancer, and more recently, of COVID-19 patients. Rigorous training/testing protocols, generalizability, and performance evaluation of machine learning algorithms have been a main focus.
Dr. Drukker published over 50 peer-reviewed papers on artificial intelligence (AI) in medical imaging, mostly related to breast image analysis, with a focus on multimodality detection, diagnosis, and prognosis of breast cancer and on performance evaluation methods. She served as Associate Editor or as Editorial Board Member for many professional peer-reviewed journals, e.g., Medical Physics, Journal of Medical Imaging, and the British Journal of Radiology, and as chair or member of scientific committees for many medical imaging conferences, e.g., the Society for Optics and Photonics Medical Imaging Conference and the American Association of Physicists in Medicine annual meetings. Recently, she was awarded Fellow of the American Association of Physicists in Medicine for her contributions to medical physics. She also co-authored several book chapters and is co-inventor on 2 patents.
Dr. Drukker has been actively involved in research at, as well as in organizational aspects of, the Medical Imaging and Data Resource Center (MIDRC, hosted at the University of Chicago) since its launch in August 2020.Research Associate Professorprns:awardConferredByaward conferred byprns:coAuthorOfcoauthor ofprns:emailEncryptedemail addressprns:fullNamefull nameprns:hasAuthorListauthor listprns:hasNetworkhas networkprns:hasPublicationVenuepublished inprns:informationResourceReferenceinformation resource referenceprns:isPrimaryPositionis primary positionprns:latitudelatitudeprns:longitudelongitudeprns:mainImagephotoprns:maxWeightmaximum weightprns:medlineTAjournal title abbreviationprns:meshDescriptorUIMeSH DescriptorUIprns:meshSemanticGroupNameMeSH semantic group nameprns:minWeightminimum weightprns:numberOfAuthorsnumber of authorsprns:numberOfConnectionsnumber of connectionsprns:numberOfPublicationsnumber of publicationsprns:personIdPerson IDprns:personInPrimaryPositionperson in primary positionprns:physicalNeighborOfphysical neighborprns:positionInDepartmentposition in departmentprns:predicateNodepredicate nodeprns:publicationDatepublication dateprns:similarTosimilar toprns:sortOrdersort orderprns:startDatestart dateprns:uniquenessWeightuniqueness weightprns:yearyearAcademic ArticleArticleDocumentbibo:pmidPubMed IdentifierAddressvivo:addressCitycityvivo:addressPostalCodepostal codevivo:addressStatestate or provincevivo:authorInAuthorshipselected publicationsvivo:authorRankauthor rank in publicationAuthorshipvivo:awardOrHonorawards and honorsAward or Honor ReceiptDepartmentvivo:freetextKeywordkeywordsvivo:hasResearchArearesearch areasvivo:hrJobTitleHR job titleInformation Resourcevivo:linkAnchorTextlink anchor textvivo:linkedAuthorlinked authorvivo:linkedInformationResourcelinked information resourcevivo:mailingAddressmailing addressvivo:overviewoverviewvivo:personInPositionpositionsPositionvivo:positionInOrganizationposition in organizationvivo:preferredTitlepreferred titleURLLinkvivo:webpagewebpagerdf:predicatepredicaterdf:typetyperdfs:labellabelConceptAgentfoaf:firstNamefirst namefoaf:lastNamelast nameOrganizationPersonD001943Disorders38828810.372028Breast NeoplasmsAuthorship 1041551Authorship 1043163Authorship 1041522Authorship 104030328518670Sadinski M, Giger M, Drukker K, Yamaguchi K, Lan L, Li HMedical physicsTU-E-217BCD-07: Pilot Study on Consistency in Size Metrics for a Multimodality PEM/MR Breast Imaging Approach. Med Phys. 2012 Jun; 39(6Part24):3915.Med Phys2012-06-01T00:00:002012TU-E-217BCD-07: Pilot Study on Consistency in Size Metrics for a Multimodality PEM/MR Breast Imaging Approach.28524319Jamieson AR, Giger ML, Drukker K, Pesce LLMedical physicsEnhancement of breast CADx with unlabeled dataa). Med Phys. 2010 Aug; 37(8):4155-4172.Med Phys2010-08-01T00:00:002010Enhancement of breast CADx with unlabeled dataa).28506513Armato SG, Drukker K, Li F, Hadjiiski L, Tourassi GD, Engelmann RM, Giger ML, Redmond G, Farahani K, Kirby JS, Petrick NAAcademic radiologyLetter to the Editor: Use of Publicly Available Image Resources. Acad Radiol. 2017 07; 24(7):916-917.Acad Radiol2017-05-11T00:00:002017Letter to the Editor: Use of Publicly Available Image Resources.28512957Drukker K, Pesce L, Giger MMedical physicsRepeatability in computer-aided diagnosis: Application to breast cancer diagnosis on sonography. Med Phys. 2010 Jun; 37(6Part1):2659-2669.Med Phys2010-06-01T00:00:002010Repeatability in computer-aided diagnosis: Application to breast cancer diagnosis on sonography.BSD Comprehensive Cancer CenterD003936Procedures763320.793875Diagnosis, Computer-AssistedKunioDoiKunio Doi41.7886000000000087.598699999999993668Doi, KunioRalph W. Gerard Professor of Biological Sciences, EmeritusAuthorship 1135065Authorship 1145073Authorship 1149151Authorship 1184443Authorship 122780229708200Sutton EJ, Huang EP, Drukker K, Burnside ES, Li H, Net JM, Rao A, Whitman GJ, Zuley M, Ganott M, Bonaccio E, Giger ML, Morris EA, TCGA groupEuropean radiology experimentalBreast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes. Eur Radiol Exp. 2017; 1(1):22.Eur Radiol Exp2017-11-21T00:00:002017Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes.29322070Haddad CW, Drukker K, Gullett R, Carroll TJ, Christoforidis GA, Giger MLJournal of medical imaging (Bellingham, Wash.)Fuzzy c-means segmentation of major vessels in angiographic images of stroke. J Med Imaging (Bellingham). 2018 Jan; 5(1):014501.J Med Imaging (Bellingham)2018-01-04T00:00:002018Fuzzy c-means segmentation of major vessels in angiographic images of stroke.29653585Drukker K, Li H, Antropova N, Edwards A, Papaioannou J, Giger MLCancer imaging : the official publication of the International Cancer Imaging SocietyMost-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer. Cancer Imaging. 2018 Apr 13; 18(1):12.Cancer Imaging2018-04-13T00:00:002018Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer.30367497Sahiner B, Pezeshk A, Hadjiiski LM, Wang X, Drukker K, Cha KH, Summers RM, Giger MLMedical physicsDeep learning in medical imaging and radiation therapy. Med Phys. 2019 Jan; 46(1):e1-e36.Med Phys2018-11-20T00:00:002018Deep learning in medical imaging and radiation therapy.29754995Whitney HM, Taylor NS, Drukker K, Edwards AV, Papaioannou J, Schacht D, Giger MLAcademic radiologyAdditive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset. Acad Radiol. 2019 02; 26(2):202-209.Acad Radiol2018-05-10T00:00:002018Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset.Authorship 125506130526359Drukker K, Giger ML, Joe BN, Kerlikowske K, Greenwood H, Drukteinis JS, Niell B, Fan B, Malkov S, Avila J, Kazemi L, Shepherd JRadiologyCombined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set. Radiology. 2019 03; 290(3):621-628.Radiology2018-12-11T00:00:002018Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set.Authorship 118322Authorship 128145330840739Armato SG, Huisman H, Drukker K, Hadjiiski L, Kirby JS, Petrick N, Redmond G, Giger ML, Cha K, Mamonov A, Kalpathy-Cramer J, Farahani KJournal of medical imaging (Bellingham, Wash.)PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images. J Med Imaging (Bellingham). 2018 Oct; 5(4):044501.J Med Imaging (Bellingham)2018-11-10T00:00:002018PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images.Authorship 210231Authorship 248791Authorship 230521Authorship 130881631307537Yeh AC, Li H, Zhu Y, Zhang J, Khramtsova G, Drukker K, Edwards A, McGregor S, Yoshimatsu T, Zheng Y, Niu Q, Abe H, Mueller J, Conzen S, Ji Y, Giger ML, Olopade OICancer imaging : the official publication of the International Cancer Imaging SocietyRadiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling. Cancer Imaging. 2019 Jul 15; 19(1):48.Cancer Imaging2019-07-15T00:00:002019Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling.Authorship 276551Authorship 295934D008327Procedures874600.770102MammographyAuthorship 360712Authorship 133500131592438Drukker K, Edwards A, Doyle C, Papaioannou J, Kulkarni K, Giger MLJournal of medical imaging (Bellingham, Wash.)Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. J Med Imaging (Bellingham). 2019 Jul; 6(3):034502.J Med Imaging (Bellingham)2019-09-30T00:00:002019Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients.Authorship 369991Authorship 394284Authorship 419271Authorship 353841Authorship 467283Authorship 395982Authorship 405773Authorship 284061Authorship 140248432855995Kuo HC, Giger ML, Reiser I, Drukker K, Boone JM, Lindfors KK, Yang K, Edwards A, Sennett CAJournal of medical imaging (Bellingham, Wash.)Segmentation of breast masses on dedicated breast computed tomography and three-dimensional breast ultrasound images. J Med Imaging (Bellingham). 2014 Apr; 1(1):014501.J Med Imaging (Bellingham)2014-04-23T00:00:002014Segmentation of breast masses on dedicated breast computed tomography and three-dimensional breast ultrasound images.Authorship 397924Authorship 4265438598365Gilhuijs KG, Drukker K, Touw A, van de Ven PJ, van Herk MInternational journal of radiation oncology, biology, physicsInteractive three dimensional inspection of patient setup in radiation therapy using digital portal images and computed tomography data. Int J Radiat Oncol Biol Phys. 1996 Mar 01; 34(4):873-85.Int J Radiat Oncol Biol Phys1996-03-01T00:00:001996Interactive three dimensional inspection of patient setup in radiation therapy using digital portal images and computed tomography data.Authorship 142177633202038Kirby J, Prior F, Petrick N, Hadjiski L, Farahani K, Drukker K, Kalpathy-Cramer J, Glide-Hurst C, El Naqa IMedical physicsIntroduction to special issue on datasets hosted in The Cancer Imaging Archive (TCIA). Med Phys. 2020 Dec; 47(12):6026-6028.Med Phys2020-12-01T00:00:002020Introduction to special issue on datasets hosted in The Cancer Imaging Archive (TCIA).12906202Drukker K, Giger ML, Mendelson EBMedical physicsComputerized analysis of shadowing on breast ultrasound for improved lesion detection. Med Phys. 2003 Jul; 30(7):1833-42.Med Phys2003-07-01T00:00:002003Computerized analysis of shadowing on breast ultrasound for improved lesion detection.12148724Drukker K, Giger ML, Horsch K, Kupinski MA, Vyborny CJ, Mendelson EBMedical physicsComputerized lesion detection on breast ultrasound. Med Phys. 2002 Jul; 29(7):1438-46.Med Phys2002-07-01T00:00:002002Computerized lesion detection on breast ultrasound.15147617Drukker K, Giger ML, Vyborny CJ, Mendelson EBAcademic radiologyComputerized detection and classification of cancer on breast ultrasound. Acad Radiol. 2004 May; 11(5):526-35.Acad Radiol2004-05-01T00:00:002004Computerized detection and classification of cancer on breast ultrasound.16304105Drukker K, Giger ML, Metz CERadiologyRobustness of computerized lesion detection and classification scheme across different breast US platforms. Radiology. 2005 Dec; 237(3):834-40.Radiology2005-12-01T00:00:002005Robustness of computerized lesion detection and classification scheme across different breast US platforms.Medicine-Hematology and OncologyRadiology-Basic SciencesRadiology-Breast ImagingAmerican Association of Physicists in Medicine2020Fellow 16087091Drukker K, Horsch K, Giger MLAcademic radiologyMultimodality computerized diagnosis of breast lesions using mammography and sonography. Acad Radiol. 2005 Aug; 12(8):970-9.Acad Radiol2005-08-01T00:00:002005Multimodality computerized diagnosis of breast lesions using mammography and sonography.16696491Roy AS, Armato SG, Wilson A, Drukker KMedical physicsAutomated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index. Med Phys. 2006 Apr; 33(4):1133-40.Med Phys2006-04-01T00:00:002006Automated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index.19864511Gruszauskas NP, Drukker K, Giger ML, Chang RF, Sennett CA, Moon WK, Pesce LLRadiologyBreast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States. Radiology. 2009 Dec; 253(3):661-71.Radiology2009-10-28T00:00:002009Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States.19928111Zur RM, Jiang Y, Pesce LL, Drukker KMedical physicsNoise injection for training artificial neural networks: a comparison with weight decay and early stopping. Med Phys. 2009 Oct; 36(10):4810-8.Med Phys2009-10-01T00:00:002009Noise injection for training artificial neural networks: a comparison with weight decay and early stopping.20879576Jamieson AR, Giger ML, Drukker K, Pesce LLMedical physicsEnhancement of breast CADx with unlabeled data. Med Phys. 2010 Aug; 37(8):4155-72.Med Phys2010-08-01T00:00:002010Enhancement of breast CADx with unlabeled data.20632577Drukker K, Pesce L, Giger MMedical physicsRepeatability in computer-aided diagnosis: application to breast cancer diagnosis on sonography. Med Phys. 2010 Jun; 37(6):2659-69.Med Phys2010-06-01T00:00:002010Repeatability in computer-aided diagnosis: application to breast cancer diagnosis on sonography.Authorship 146524833987451Petrick N, Akbar S, Cha KH, Nofech-Mozes S, Sahiner B, Gavrielides MA, Kalpathy-Cramer J, Drukker K, Martel AL, BreastPathQ Challenge GroupJournal of medical imaging (Bellingham, Wash.)SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment. J Med Imaging (Bellingham). 2021 May; 8(3):034501.J Med Imaging (Bellingham)2021-05-08T00:00:002021SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment.22055797Pesce LL, Horsch K, Drukker K, Metz CEAcademic radiologySemiparametric estimation of the relationship between ROC operating points and the test-result scale: application to the proper binormal model. Acad Radiol. 2011 Dec; 18(12):1537-48.Acad Radiol2011-12-01T00:00:002011Semiparametric estimation of the relationship between ROC operating points and the test-result scale: application to the proper binormal model.18790394Gruszauskas NP, Drukker K, Giger ML, Sennett CA, Pesce LLAcademic radiologyPerformance of breast ultrasound computer-aided diagnosis: dependence on image selection. Acad Radiol. 2008 Oct; 15(10):1234-45.Acad Radiol2008-10-01T00:00:002008Performance of breast ultrasound computer-aided diagnosis: dependence on image selection.Authorship 1476641Authorship 147840234174331Whitney HM, Drukker K, Edwards A, Papaioannou J, Medved M, Karczmar G, Giger MLMagnetic resonance imagingRobustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths. Magn Reson Imaging. 2021 10; 82:111-121.Magn Reson Imaging2021-06-24T00:00:002021Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths.34179216Drukker K, Kontos D, Li HJournal of medical imaging (Bellingham, Wash.)Special Section Guest Editorial: Radiogenomics in Prognosis and Treatment. J Med Imaging (Bellingham). 2021 May; 8(3):031901.J Med Imaging (Bellingham)2021-06-24T00:00:002021Special Section Guest Editorial: Radiogenomics in Prognosis and Treatment.19822471Chen W, Metz CE, Giger ML, Drukker KIEEE transactions on medical imagingA novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications. IEEE Trans Med Imaging. 2010 Feb; 29(2):428-41.IEEE Trans Med Imaging2009-10-09T00:00:002009A novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications.Authorship 149915634545957El Naqa I, Boone JM, Benedict SH, Goodsitt MM, Chan HP, Drukker K, Hadjiiski L, Ruan D, Sahiner BMedical physicsAI in medical physics: guidelines for publication. Med Phys. 2021 Sep; 48(9):4711-4714.Med Phys2021-09-01T00:00:002021AI in medical physics: guidelines for publication.Authorship 150179234595245Hu Q, Drukker K, Giger MLJournal of medical imaging (Bellingham, Wash.)Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19. J Med Imaging (Bellingham). 2021 Jan; 8(Suppl 1):014503.J Med Imaging (Bellingham)2021-09-28T00:00:002021Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19.19116194Drukker K, Sennett CA, Giger MLIEEE transactions on medical imagingAutomated method for improving system performance of computer-aided diagnosis in breast ultrasound. IEEE Trans Med Imaging. 2009 Jan; 28(1):122-8.IEEE Trans Med Imaging2009-01-01T00:00:002009Automated method for improving system performance of computer-aided diagnosis in breast ultrasound.20175497Jamieson AR, Giger ML, Drukker K, Li H, Yuan Y, Bhooshan NMedical physicsExploring nonlinear feature space dimension reduction and data representation in breast Cadx with Laplacian eigenmaps and t-SNE. Med Phys. 2010 Jan; 37(1):339-51.Med Phys2010-01-01T00:00:002010Exploring nonlinear feature space dimension reduction and data representation in breast Cadx with Laplacian eigenmaps and t-SNE.18574139Drukker K, Gruszauskas NP, Sennett CA, Giger MLRadiologyBreast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population. Radiology. 2008 Aug; 248(2):392-7.Radiology2008-06-23T00:00:002008Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population.Authorship 154965335602210Leong LT, Malkov S, Drukker K, Niell BL, Sadowski P, Wolfgruber T, Greenwood HI, Joe BN, Kerlikowske K, Giger ML, Shepherd JACommunications medicineDual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesions. Commun Med (Lond). 2021; 1:29.Commun Med (Lond)2021-08-31T00:00:002021Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesions.Authorship 155135235656541Whitney HM, Drukker K, Giger MLJournal of medical imaging (Bellingham, Wash.)Performance metric curve analysis framework to assess impact of the decision variable threshold, disease prevalence, and dataset variability in two-class classification. J Med Imaging (Bellingham). 2022 May; 9(3):035502.J Med Imaging (Bellingham)2022-05-31T00:00:002022Performance metric curve analysis framework to assess impact of the decision variable threshold, disease prevalence, and dataset variability in two-class classification.HeatherWhitney33VhArUbHPX5hHlsaUXv9Gq0+s+oHeather Whitney41.7886000000000087.598699999999994167Whitney, HeatherResearch Assistant ProfessorAuthorship 156064235834307Whitney HM, Drukker K, Edwards A, Papaioannou J, Giger MLJournal of medical imaging (Bellingham, Wash.)Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. J Med Imaging (Bellingham). 2019 Jul; 6(3):031408.J Med Imaging (Bellingham)2019-02-18T00:00:002019Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers.Authorship 159375436565447Hadjiiski L, Cha K, Chan HP, Drukker K, Morra L, Näppi JJ, Sahiner B, Yoshida H, Chen Q, Deserno TM, Greenspan H, Huisman H, Huo Z, Mazurchuk R, Petrick N, Regge D, Samala R, Summers RM, Suzuki K, Tourassi G, Vergara D, Armato SGMedical physicsAAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging. Med Phys. 2023 Feb; 50(2):e1-e24.Med Phys2023-01-06T00:00:002023AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.Authorship 1611073036821110Konz N, Buda M, Gu H, Saha A, Yang J, Chledowski J, Park J, Witowski J, Geras KJ, Shoshan Y, Gilboa-Solomon F, Khapun D, Ratner V, Barkan E, Ozery-Flato M, Martí R, Omigbodun A, Marasinou C, Nakhaei N, Hsu W, Sahu P, Hossain MB, Lee J, Santos C, Przelaskowski A, Kalpathy-Cramer J, Bearce B, Cha K, Farahani K, Petrick N, Hadjiiski L, Drukker K, Armato SG, Mazurowski MAJAMA network openA Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis. JAMA Netw Open. 2023 02 01; 6(2):e230524.JAMA Netw Open2023-02-01T00:00:002023A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis.D001185Activities & BehaviorsObjectsOccupations1322940.790652Artificial Intelligencehttps://cgh.uchicago.edu/page/leadershipGlobal Healthhttps://voices.uchicago.edu/larivierelab/My Lab Sitehttps://www.uchicagomedicine.org/find-a-physician/physician/olufunmilayo-i-olopadeUChicago Medicinehttps://cancerbio.uchicago.edu/program/faculty/olufunmilayo-olopadeCancer Biologyhttps://www.uchicagomedicine.org/conditions-services/cancer/cancer-risk-preventionCancer Risk and PreventionD016217Procedures26820.927994Ultrasonography, MammaryAuthorship 162023137125409Drukker K, Chen W, Gichoya J, Gruszauskas N, Kalpathy-Cramer J, Koyejo S, Myers K, Sá RC, Sahiner B, Whitney H, Zhang Z, Giger MJournal of medical imaging (Bellingham, Wash.)Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. J Med Imaging (Bellingham). 2023 Nov; 10(6):061104.J Med Imaging (Bellingham)2023-04-26T00:00:002023Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment.37469387Whitney HM, Baughan N, Myers KJ, Drukker K, Gichoya J, Bower B, Chen W, Gruszauskas N, Kalpathy-Cramer J, Koyejo S, Sá RC, Sahiner B, Zhang Z, Giger MLJournal of medical imaging (Bellingham, Wash.)Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons. J Med Imaging (Bellingham). 2023 Nov; 10(6):61105.J Med Imaging (Bellingham)2023-07-18T00:00:002023Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons.Authorship 1644844RadiologySurgeryUniversity of ChicagoHiroyukiAbeHiroyuki Abe41.78927490000000-87.601250000000001069Abe, HiroyukiProfessor37608852Li H, Drukker K, Hu Q, Whitney HM, Fuhrman JD, Giger MLJournal of medical imaging (Bellingham, Wash.)Predicting intensive care need for COVID-19 patients using deep learning on chest radiography. J Med Imaging (Bellingham). 2023 Jul; 10(4):044504.J Med Imaging (Bellingham)2023-08-21T00:00:002023Predicting intensive care need for COVID-19 patients using deep learning on chest radiography.37698542Armato SG, Drukker K, Hadjiiski LThe British journal of radiologyAI in medical imaging grand challenges: translation from competition to research benefit and patient care. Br J Radiol. 2023 Oct; 96(1150):20221152.Br J Radiol2023-09-12T00:00:002023AI in medical imaging grand challenges: translation from competition to research benefit and patient care.37602841Whitney HM, Drukker K, Vieceli M, Van Dusen A, de Oliveira M, Abe H, Giger MLMedical physicsRole of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI. Med Phys. 2024 Mar; 51(3):1812-1821.Med Phys2023-08-21T00:00:002023Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI.Authorship 1662972Authorship 1660772Authorship 1658592Maryellen L.Giger2zE6WYF1GuTQkntjbwjr93A=Maryellen L. Giger41.78927490000000-87.601250000000001358Giger, Maryellen L.ProfessorMilicaMedvedMilica Medved41.78927490000000-87.601250000000001462Medved, MilicaResearch Associate ProfessorHee-JongKimHee-Jong Kim41.78927490000000-87.60125000000000161Kim, Hee-JongResearch Associate Professor3.322750.00179993111research areas8.858170.040578717coauthor of88.95757.3961260similar to1167selected publicationsHuiLiHui Li41.78927490000000-87.601250000000001890Li, HuiResearch Associate ProfessorOlufunmilayoOlopade321vBIF1GuTQkntjbwjr93A=Olufunmilayo Olopade41.78927490000000-87.601250000000001960Olopade, OlufunmilayoProfessorRobertNishikawaRobert Nishikawa41.78927490000000-87.601250000000002103Nishikawa, RobertASSOCIATE PROFESSOR Patrick J.La RivierePatrick J. La Riviere41.78927490000000-87.601250000000002163La Riviere, Patrick J.ProfessorXiaochuanPanXiaochuan Pan41.78927490000000-87.60125000000000373Pan, XiaochuanProfessorZheng FengLuzWRlHoF1GuTQkntjbwjr93A=Zheng Feng Lu41.78927490000000-87.60125000000000386Lu, Zheng FengProfessorSamuel G.ArmatoSamuel G. Armato41.78927490000000-87.60125000000000820Armato, Samuel G.Associate ProfessorAuthorship 167825237915406Mello-Thoms C, Drukker K, Taylor-Phillips S, Iftekharuddin K, Gavrielides MJournal of medical imaging (Bellingham, Wash.)Special Section Editorial: Artificial Intelligence for Medical Imaging in Clinical Practice. J Med Imaging (Bellingham). 2023 Sep; 10(5):051801.J Med Imaging (Bellingham)2023-10-31T00:00:002023Special Section Editorial: Artificial Intelligence for Medical Imaging in Clinical Practice.KatharineYaoKatharine Yao41.78927490000000-87.6012500000000098Yao, KatharineCLINICAL ASSOCIATE PROFESSOR37925095Vergara D, Armato SG, Hadjiiski L, Drukker KJournal of the American College of Radiology : JACRBest Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging. J Am Coll Radiol. 2024 Feb; 21(2):341-343.J Am Coll Radiol2023-11-02T00:00:002023Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging.Authorship 1679284Authorship 1684384Authorship 168471238011226Naqa IE, Drukker KThe British journal of radiologyAI in imaging and therapy: innovations, ethics, and impact - introductory editorial. Br J Radiol. 2023 10; 96(1150):20239004.Br J Radiol2023-10-01T00:00:002023AI in imaging and therapy: innovations, ethics, and impact - introductory editorial.37990686Douglas L, Bhattacharjee R, Fuhrman J, Drukker K, Hu Q, Edwards A, Sheth D, Giger MJournal of medical imaging (Bellingham, Wash.)U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging. J Med Imaging (Bellingham). 2023 Nov; 10(6):064502.J Med Imaging (Bellingham)2023-11-20T00:00:002023U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging.Authorship 168743338074627Baughan N, Whitney HM, Drukker K, Sahiner B, Hu T, Kim GH, McNitt-Gray M, Myers KJ, Giger MLJournal of medical imaging (Bellingham, Wash.)Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons. J Med Imaging (Bellingham). 2023 Nov; 10(6):064501.J Med Imaging (Bellingham)2023-11-16T00:00:002023Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons.Authorship 170908438476957Mahmood U, Shukla-Dave A, Chan HP, Drukker K, Samala RK, Chen Q, Vergara D, Greenspan H, Petrick N, Sahiner B, Huo Z, Summers RM, Cha KH, Tourassi G, Deserno TM, Grizzard KT, Näppi JJ, Yoshida H, Regge D, Mazurchuk R, Suzuki K, Morra L, Huisman H, Armato SG, Hadjiiski LBJR artificial intelligenceArtificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR Artif Intell. 2024 Jan; 1(1):ubae003.BJR Artif Intell2024-03-04T00:00:002024Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing.true1ASSOCIATE PROFESSOR ASSOCIATE PROFESSOR true1ProfessorProfessortrue1Ralph W. Gerard Professor of Biological Sciences, EmeritusRalph W. Gerard Professor of Biological Sciences, Emeritustrue1ProfessorProfessortrue1Research Associate ProfessorResearch Associate Professortrue1Research Associate ProfessorResearch Associate Professortrue1Research Associate ProfessorResearch Associate Professortrue1ProfessorProfessortrue1Research Assistant ProfessorResearch Assistant Professortrue1Research Associate ProfessorResearch Associate Professortrue1Associate ProfessorAssociate Professortrue1ProfessorProfessortrue1ProfessorProfessortrue1ProfessorProfessortrue1CLINICAL ASSOCIATE PROFESSORCLINICAL ASSOCIATE PROFESSORAuthorship 657141Authorship 742232Authorship 769751Authorship 78642123526445Drukker K, Giger M, Meinel LA, Starkey A, Janardanan J, Abe HInternational journal of computer assisted radiology and surgeryQuantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int J Comput Assist Radiol Surg. 2013 Nov; 8(6):895-903.Int J Comput Assist Radiol Surg2013-03-24T00:00:002013Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients.25547328Schacht DV, Drukker K, Pak I, Abe H, Giger MLEuropean journal of radiologyUsing quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era. Eur J Radiol. 2015 Mar; 84(3):392-397.Eur J Radiol2014-12-15T00:00:002014Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era.24387528Drukker K, Sennett CA, Giger MLMedical physicsComputerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts. Med Phys. 2014 Jan; 41(1):012901.Med Phys2014-01-01T00:00:002014Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts.24593733Drukker K, Duewer F, Giger ML, Malkov S, Flowers CI, Joe B, Kerlikowske K, Drukteinis JS, Li H, Shepherd JAMedical physicsMammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification. Med Phys. 2014 Mar; 41(3):031915.Med Phys2014-03-01T00:00:002014Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification.Authorship 805444Authorship 80557426158052Kuo HC, Giger ML, Reiser I, Drukker K, Boone JM, Lindfors KK, Yang K, Edwards AJournal of medical imaging (Bellingham, Wash.)Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography. J Med Imaging (Bellingham). 2014 Oct; 1(3):031012.J Med Imaging (Bellingham)2014-12-24T00:00:002014Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography.26158094Armato SG, Hadjiiski L, Tourassi GD, Drukker K, Giger ML, Li F, Redmond G, Farahani K, Kirby JS, Clarke LPJournal of medical imaging (Bellingham, Wash.)LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned. J Med Imaging (Bellingham). 2015 Apr; 2(2):020103.J Med Imaging (Bellingham)2015-04-01T00:00:002015LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned.Chicago60637ILAuthorship 84797426639025Zhu Y, Li H, Guo W, Drukker K, Lan L, Giger ML, Ji YScientific reportsDeciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma. Sci Rep. 2015 Dec 07; 5:17787.Sci Rep2015-12-07T00:00:002015Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma.Authorship 870462Authorship 86530626835491Guo W, Li H, Zhu Y, Lan L, Yang S, Drukker K, Morris E, Burnside E, Whitman G, Giger ML, Ji Y, Tcga Breast Phenotype Research GroupJournal of medical imaging (Bellingham, Wash.)Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data. J Med Imaging (Bellingham). 2015 10; 2(4):041007.J Med Imaging (Bellingham)2015-09-23T00:00:002015Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data.26619259Burnside ES, Drukker K, Li H, Bonaccio E, Zuley M, Ganott M, Net JM, Sutton EJ, Brandt KR, Whitman GJ, Conzen SD, Lan L, Ji Y, Zhu Y, Jaffe CC, Huang EP, Freymann JB, Kirby JS, Morris EA, Giger MLCancerUsing computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage. Cancer. 2016 Mar 01; 122(5):748-57.Cancer2015-11-30T00:00:002015Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage.Authorship 90023527043979Giger ML, Inciardi MF, Edwards A, Papaioannou J, Drukker K, Jiang Y, Brem R, Brown JBAJR. American journal of roentgenologyAutomated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers. AJR Am J Roentgenol. 2016 Jun; 206(6):1341-50.AJR Am J Roentgenol2016-04-04T00:00:002016Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers.Authorship 62181123601952Drukker K, Horsch KJ, Pesce LL, Giger MLAcademic radiologyInterreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts. Acad Radiol. 2013 Jul; 20(7):847-53.Acad Radiol2013-04-17T00:00:002013Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts.Authorship 95386427144536Li H, Zhu Y, Burnside ES, Drukker K, Hoadley KA, Fan C, Conzen SD, Whitman GJ, Sutton EJ, Net JM, Ganott M, Huang E, Morris EA, Perou CM, Ji Y, Giger MLRadiologyMR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays. Radiology. 2016 Nov; 281(2):382-391.Radiology2016-05-05T00:00:002016MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.Authorship 97157527853751Li H, Zhu Y, Burnside ES, Huang E, Drukker K, Hoadley KA, Fan C, Conzen SD, Zuley M, Net JM, Sutton E, Whitman GJ, Morris E, Perou CM, Ji Y, Giger MLNPJ breast cancerQuantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set. NPJ Breast Cancer. 2016; 2.NPJ Breast Cancer2016-05-11T00:00:002016Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.Authorship 98870228018939Armato SG, Drukker K, Li F, Hadjiiski L, Tourassi GD, Engelmann RM, Giger ML, Redmond G, Farahani K, Kirby JS, Clarke LPJournal of medical imaging (Bellingham, Wash.)LUNGx Challenge for computerized lung nodule classification. J Med Imaging (Bellingham). 2016 Oct; 3(4):044506.J Med Imaging (Bellingham)2016-12-19T00:00:002016LUNGx Challenge for computerized lung nodule classification.