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Artificial intelligence in the interpretation of breast cancer on MRI.

Sheth D, Giger ML.

J Magn Reson Imaging. 2019 Jul 25. doi: 10.1002/jmri.26878. [Epub ahead of print] Review.


Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling.

Yeh 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 OI.

Cancer Imaging. 2019 Jul 15;19(1):48. doi: 10.1186/s40644-019-0233-5.


Prognostic value of pre-treatment CT texture analysis in combination with change in size of the primary tumor in response to induction chemotherapy for HPV-positive oropharyngeal squamous cell carcinoma.

Miller TA, Robinson KR, Li H, Seiwert TY, Haraf DJ, Lan L, Giger ML, Ginat DT.

Quant Imaging Med Surg. 2019 Mar;9(3):399-408. doi: 10.21037/qims.2019.03.08.


Variation in algorithm implementation across radiomics software.

Foy JJ, Robinson KR, Li H, Giger ML, Al-Hallaq H, Armato SG 3rd.

J Med Imaging (Bellingham). 2018 Oct;5(4):044505. doi: 10.1117/1.JMI.5.4.044505. Epub 2018 Dec 4.


PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images.

Armato SG 3rd, Huisman H, Drukker K, Hadjiiski L, Kirby JS, Petrick N, Redmond G, Giger ML, Cha K, Mamonov A, Kalpathy-Cramer J, Farahani K.

J Med Imaging (Bellingham). 2018 Oct;5(4):044501. doi: 10.1117/1.JMI.5.4.044501. Epub 2018 Nov 10.


Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networks.

Antropova N, Huynh B, Li H, Giger ML.

J Med Imaging (Bellingham). 2019 Jan;6(1):011002. doi: 10.1117/1.JMI.6.1.011002. Epub 2018 Aug 21.


Quantifying in situ adaptive immune cell cognate interactions in humans.

Liarski VM, Sibley A, van Panhuys N, Ai J, Chang A, Kennedy D, Merolle M, Germain RN, Giger ML, Clark MR.

Nat Immunol. 2019 Apr;20(4):503-513. doi: 10.1038/s41590-019-0315-3. Epub 2019 Feb 18.


Digital Mammography in Breast Cancer: Additive Value of Radiomics of Breast Parenchyma.

Li H, Mendel KR, Lan L, Sheth D, Giger ML.

Radiology. 2019 Apr;291(1):15-20. doi: 10.1148/radiol.2019181113. Epub 2019 Feb 12.


Artificial intelligence in cancer imaging: Clinical challenges and applications.

Bi WL, Hosny A, Schabath MB, Giger ML, Birkbak NJ, Mehrtash A, Allison T, Arnaout O, Abbosh C, Dunn IF, Mak RH, Tamimi RM, Tempany CM, Swanton C, Hoffmann U, Schwartz LH, Gillies RJ, Huang RY, Aerts HJWL.

CA Cancer J Clin. 2019 Mar;69(2):127-157. doi: 10.3322/caac.21552. Epub 2019 Feb 5. Review.


Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set.

Drukker K, Giger ML, Joe BN, Kerlikowske K, Greenwood H, Drukteinis JS, Niell B, Fan B, Malkov S, Avila J, Kazemi L, Shepherd J.

Radiology. 2019 Mar;290(3):621-628. doi: 10.1148/radiol.2018180608. Epub 2018 Dec 11.


Deep learning in medical imaging and radiation therapy.

Sahiner B, Pezeshk A, Hadjiiski LM, Wang X, Drukker K, Cha KH, Summers RM, Giger ML.

Med Phys. 2019 Jan;46(1):e1-e36. doi: 10.1002/mp.13264. Epub 2018 Nov 20. Review.


Relationships Between Human-Extracted MRI Tumor Phenotypes of Breast Cancer and Clinical Prognostic Indicators Including Receptor Status and Molecular Subtype.

Net JM, Whitman GJ, Morris E, Brandt KR, Burnside ES, Giger ML, Ganott M, Sutton EJ, Zuley ML, Rao A.

Curr Probl Diagn Radiol. 2019 Sep - Oct;48(5):467-472. doi: 10.1067/j.cpradiol.2018.08.003. Epub 2018 Aug 23.


Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset.

Whitney HM, Taylor NS, Drukker K, Edwards AV, Papaioannou J, Schacht D, Giger ML.

Acad Radiol. 2019 Feb;26(2):202-209. doi: 10.1016/j.acra.2018.04.019. Epub 2018 May 10.


Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer.

Drukker K, Li H, Antropova N, Edwards A, Papaioannou J, Giger ML.

Cancer Imaging. 2018 Apr 13;18(1):12. doi: 10.1186/s40644-018-0145-9.


Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks.

Antropova N, Abe H, Giger ML.

J Med Imaging (Bellingham). 2018 Jan;5(1):014503. doi: 10.1117/1.JMI.5.1.014503. Epub 2018 Feb 5.


A brief history of the AAPM: Celebrating 60 years of contributions to medical physics practice and science.

Orton CG, Giger ML.

Med Phys. 2018 Feb;45(2):497-501. doi: 10.1002/mp.12738. No abstract available.


Machine Learning in Medical Imaging.

Giger ML.

J Am Coll Radiol. 2018 Mar;15(3 Pt B):512-520. doi: 10.1016/j.jacr.2017.12.028. Epub 2018 Feb 2. Review.


Fuzzy c-means segmentation of major vessels in angiographic images of stroke.

Haddad CW, Drukker K, Gullett R, Carroll TJ, Christoforidis GA, Giger ML.

J Med Imaging (Bellingham). 2018 Jan;5(1):014501. doi: 10.1117/1.JMI.5.1.014501. Epub 2018 Jan 4.


Moonshot Acceleration Factor: Medical Imaging.

Sevick-Muraca EM, Frank RA, Giger ML, Mulshine JL.

Cancer Res. 2017 Nov 1;77(21):5717-5720. doi: 10.1158/0008-5472.CAN-17-1698. Epub 2017 Oct 9.


Quantitative texture analysis: robustness of radiomics across two digital mammography manufacturers' systems.

Mendel KR, Li H, Lan L, Cahill CM, Rael V, Abe H, Giger ML.

J Med Imaging (Bellingham). 2018 Jan;5(1):011002. doi: 10.1117/1.JMI.5.1.011002. Epub 2017 Sep 19.


Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms.

Li H, Giger ML, Huynh BQ, Antropova NO.

J Med Imaging (Bellingham). 2017 Oct;4(4):041304. doi: 10.1117/1.JMI.4.4.041304. Epub 2017 Sep 13.


A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets.

Antropova N, Huynh BQ, Giger ML.

Med Phys. 2017 Oct;44(10):5162-5171. doi: 10.1002/mp.12453. Epub 2017 Aug 12.


Letter to the Editor: Use of Publicly Available Image Resources.

Armato SG 3rd, Drukker K, Li F, Hadjiiski L, Tourassi GD, Engelmann RM, Giger ML, Redmond G, Farahani K, Kirby JS, Petrick NA.

Acad Radiol. 2017 Jul;24(7):916-917. doi: 10.1016/j.acra.2017.03.015. Epub 2017 May 11. No abstract available.


Fast bilateral breast coverage with high spectral and spatial resolution (HiSS) MRI at 3T.

Medved M, Li H, Abe H, Sheth D, Newstead GM, Olopade OI, Giger ML, Karczmar GS.

J Magn Reson Imaging. 2017 Nov;46(5):1341-1348. doi: 10.1002/jmri.25658. Epub 2017 Mar 6.


Breast density estimation from high spectral and spatial resolution MRI.

Li H, Weiss WA, Medved M, Abe H, Newstead GM, Karczmar GS, Giger ML.

J Med Imaging (Bellingham). 2016 Oct;3(4):044507. doi: 10.1117/1.JMI.3.4.044507. Epub 2016 Dec 28.


Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes.

Sutton 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 group.

Eur Radiol Exp. 2017;1(1):22. doi: 10.1186/s41747-017-0025-2. Epub 2017 Nov 21.


LUNGx Challenge for computerized lung nodule classification.

Armato SG 3rd, Drukker K, Li F, Hadjiiski L, Tourassi GD, Engelmann RM, Giger ML, Redmond G, Farahani K, Kirby JS, Clarke LP.

J Med Imaging (Bellingham). 2016 Oct;3(4):044506. doi: 10.1117/1.JMI.3.4.044506. Epub 2016 Dec 19.


Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.

Li 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 ML.

NPJ Breast Cancer. 2016;2. pii: 16012. Epub 2016 May 11.


Bcl-2 as a Therapeutic Target in Human Tubulointerstitial Inflammation.

Ko K, Wang J, Perper S, Jiang Y, Yanez D, Kaverina N, Ai J, Liarski VM, Chang A, Peng Y, Lan L, Westmoreland S, Olson L, Giger ML, Chun Wang L, Clark MR.

Arthritis Rheumatol. 2016 Nov;68(11):2740-2751. doi: 10.1002/art.39744.


MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.

Li 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 ML.

Radiology. 2016 Nov;281(2):382-391. Epub 2016 May 5.


Digital mammographic tumor classification using transfer learning from deep convolutional neural networks.

Huynh BQ, Li H, Giger ML.

J Med Imaging (Bellingham). 2016 Jul;3(3):034501. doi: 10.1117/1.JMI.3.3.034501. Epub 2016 Aug 22.


Clinical significance of noncalcified lung nodules in patients with breast cancer.

Li F, Armato SG, Giger ML, MacMahon H.

Breast Cancer Res Treat. 2016 Sep;159(2):265-71. doi: 10.1007/s10549-016-3937-2. Epub 2016 Aug 9.


Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers.

Giger ML, Inciardi MF, Edwards A, Papaioannou J, Drukker K, Jiang Y, Brem R, Brown JB.

AJR Am J Roentgenol. 2016 Jun;206(6):1341-50. doi: 10.2214/AJR.15.15367. Epub 2016 Apr 4.


The Spectrum of Medical Imaging in the 2015 International Year of Light.

Giger ML, Tornai MP.

J Med Imaging (Bellingham). 2015 Jul;2(3):030101. doi: 10.1117/1.JMI.2.3.030101. Epub 2015 Oct 1. No abstract available.


Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data.

Guo 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 Group.

J Med Imaging (Bellingham). 2015 Oct;2(4):041007. doi: 10.1117/1.JMI.2.4.041007. Epub 2015 Sep 23.


Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma.

Zhu Y, Li H, Guo W, Drukker K, Lan L, Giger ML, Ji Y.

Sci Rep. 2015 Dec 7;5:17787. doi: 10.1038/srep17787.


Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage.

Burnside 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 ML.

Cancer. 2016 Mar 1;122(5):748-57. doi: 10.1002/cncr.29791. Epub 2015 Nov 30.


Preliminary assessment of dispersion versus absorption analysis of high spectral and spatial resolution magnetic resonance images in the diagnosis of breast cancer.

Weiss WA, Medved M, Karczmar GS, Giger ML.

J Med Imaging (Bellingham). 2015 Apr;2(2):024502. doi: 10.1117/1.JMI.2.2.024502. Epub 2015 May 7.


LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned.

Armato SG 3rd, Hadjiiski L, Tourassi GD, Drukker K, Giger ML, Li F, Redmond G, Farahani K, Kirby JS, Clarke LP.

J Med Imaging (Bellingham). 2015 Apr;2(2):020103. doi: 10.1117/1.JMI.2.2.020103. No abstract available.


Introduction to the LUNGx Challenge.

Giger ML.

J Med Imaging (Bellingham). 2015 Apr;2(2):020102. doi: 10.1117/1.JMI.2.2.020102. No abstract available.


Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography.

Kuo HC, Giger ML, Reiser I, Drukker K, Boone JM, Lindfors KK, Yang K, Edwards A.

J Med Imaging (Bellingham). 2014 Oct;1(3):031012. doi: 10.1117/1.JMI.1.3.031012. Epub 2014 Dec 24.


Comparative analysis of image-based phenotypes of mammographic density and parenchymal patterns in distinguishing between BRCA1/2 cases, unilateral cancer cases, and controls.

Li H, Giger ML, Lan L, Janardanan J, Sennett CA.

J Med Imaging (Bellingham). 2014 Oct;1(3):031009. doi: 10.1117/1.JMI.1.3.031009. Epub 2014 Nov 13.


Pioneers in Medical Imaging Series.

Giger ML.

J Med Imaging (Bellingham). 2014 Oct;1(3):030101. doi: 10.1117/1.JMI.1.3.030101. No abstract available.


Exciting Progress in the Growth of JMI.

Giger ML PhD.

J Med Imaging (Bellingham). 2014 Jul;1(2):020101. doi: 10.1117/1.JMI.1.2.020101. No abstract available.


Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era.

Schacht DV, Drukker K, Pak I, Abe H, Giger ML.

Eur J Radiol. 2015 Mar;84(3):392-397. doi: 10.1016/j.ejrad.2014.12.003. Epub 2014 Dec 15. Review.


Manganese-enhanced MRI detection of impaired calcium regulation in a mouse model of cardiac hypertrophy.

Andrews M, Giger ML, Roman BB.

NMR Biomed. 2015 Feb;28(2):255-63. doi: 10.1002/nbm.3249. Epub 2014 Dec 19.


Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study.

Gierach GL, Li H, Loud JT, Greene MH, Chow CK, Lan L, Prindiville SA, Eng-Wong J, Soballe PW, Giambartolomei C, Mai PL, Galbo CE, Nichols K, Calzone KA, Olopade OI, Gail MH, Giger ML.

Breast Cancer Res. 2014;16(4):424. doi: 10.1186/PREACCEPT-1744229618121391. Epub 2014 Aug 23.


Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons.

Obuchowski NA, Reeves AP, Huang EP, Wang XF, Buckler AJ, Kim HJ, Barnhart HX, Jackson EF, Giger ML, Pennello G, Toledano AY, Kalpathy-Cramer J, Apanasovich TV, Kinahan PE, Myers KJ, Goldgof DB, Barboriak DP, Gillies RJ, Schwartz LH, Sullivan DC; Algorithm Comparison Working Group.

Stat Methods Med Res. 2015 Feb;24(1):68-106. doi: 10.1177/0962280214537390. Epub 2014 Jun 11. Review.


Cell distance mapping identifies functional T follicular helper cells in inflamed human renal tissue.

Liarski VM, Kaverina N, Chang A, Brandt D, Yanez D, Talasnik L, Carlesso G, Herbst R, Utset TO, Labno C, Peng Y, Jiang Y, Giger ML, Clark MR.

Sci Transl Med. 2014 Apr 2;6(230):230ra46. doi: 10.1126/scitranslmed.3008146.


Welcome to the Journal of Medical Imaging.

Giger ML.

J Med Imaging (Bellingham). 2014 Apr;1(1):010101. doi: 10.1117/1.JMI.1.1.010101. No abstract available.

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