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Items: 1 to 20 of 221


Population-based opportunistic osteoporosis screening: Validation of a fully automated CT tool for assessing longitudinal BMD changes.

Pickhardt PJ, Lee SJ, Liu J, Yao J, Lay N, Graffy PM, Summers RM.

Br J Radiol. 2018 Nov 28:20180726. doi: 10.1259/bjr.20180726. [Epub ahead of print]


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. 2018 Oct 26. doi: 10.1002/mp.13264. [Epub ahead of print] Review.


Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation.

Gaur S, Lay N, Harmon SA, Doddakashi S, Mehralivand S, Argun B, Barrett T, Bednarova S, Girometti R, Karaarslan E, Kural AR, Oto A, Purysko AS, Antic T, Magi-Galluzzi C, Saglican Y, Sioletic S, Warren AY, Bittencourt L, F├╝tterer JJ, Gupta RT, Kabakus I, Law YM, Margolis DJ, Shebel H, Westphalen AC, Wood BJ, Pinto PA, Shih JH, Choyke PL, Summers RM, Turkbey B.

Oncotarget. 2018 Sep 18;9(73):33804-33817. doi: 10.18632/oncotarget.26100. eCollection 2018 Sep 18.


DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning.

Yan K, Wang X, Lu L, Summers RM.

J Med Imaging (Bellingham). 2018 Jul;5(3):036501. doi: 10.1117/1.JMI.5.3.036501. Epub 2018 Jul 20.


Are we at a crossroads or a plateau? Radiomics and machine learning in abdominal oncology imaging.

Summers RM.

Abdom Radiol (NY). 2018 May 5. doi: 10.1007/s00261-018-1613-1. [Epub ahead of print]


Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study.

Greer MD, Lay N, Shih JH, Barrett T, Bittencourt LK, Borofsky S, Kabakus I, Law YM, Marko J, Shebel H, Mertan FV, Merino MJ, Wood BJ, Pinto PA, Summers RM, Choyke PL, Turkbey B.

Eur Radiol. 2018 Oct;28(10):4407-4417. doi: 10.1007/s00330-018-5374-6. Epub 2018 Apr 12.


Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.

Gao M, Bagci U, Lu L, Wu A, Buty M, Shin HC, Roth H, Papadakis GZ, Depeursinge A, Summers RM, Xu Z, Mollura DJ.

Comput Methods Biomech Biomed Eng Imaging Vis. 2018;6(1):1-6. doi: 10.1080/21681163.2015.1124249. Epub 2016 Jun 6.


Deep Learning Lends a Hand to Pediatric Radiology.

Summers RM.

Radiology. 2018 Apr;287(1):323-325. doi: 10.1148/radiol.2018172898. No abstract available.


Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort.

Lee SJ, Liu J, Yao J, Kanarek A, Summers RM, Pickhardt PJ.

Br J Radiol. 2018 Sep;91(1089):20170968. doi: 10.1259/bjr.20170968. Epub 2018 Mar 28.


Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.

Roth HR, Lu L, Lay N, Harrison AP, Farag A, Sohn A, Summers RM.

Med Image Anal. 2018 Apr;45:94-107. doi: 10.1016/ Epub 2018 Feb 1.


Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.

Zhang L, Lu L, Summers RM, Kebebew E, Yao J.

IEEE Trans Med Imaging. 2018 Feb;37(2):638-648. doi: 10.1109/TMI.2017.2774044.


Special Section Guest Editorial: Radiomics and Deep Learning.

Kontos D, Summers RM, Giger M.

J Med Imaging (Bellingham). 2017 Oct;4(4):041301. doi: 10.1117/1.JMI.4.4.041301. Epub 2018 Jan 4.


Holistic segmentation of the lung in cine MRI.

Kovacs W, Hsieh N, Roth H, Nnamdi-Emeratom C, Bandettini WP, Arai A, Mankodi A, Summers RM, Yao J.

J Med Imaging (Bellingham). 2017 Oct;4(4):041310. doi: 10.1117/1.JMI.4.4.041310. Epub 2017 Nov 30.


Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks.

Cheng R, Roth HR, Lay N, Lu L, Turkbey B, Gandler W, McCreedy ES, Pohida T, Pinto PA, Choyke P, McAuliffe MJ, Summers RM.

J Med Imaging (Bellingham). 2017 Oct;4(4):041302. doi: 10.1117/1.JMI.4.4.041302. Epub 2017 Aug 21.


Validation of the Dominant Sequence Paradigm and Role of Dynamic Contrast-enhanced Imaging in PI-RADS Version 2.

Greer MD, Shih JH, Lay N, Barrett T, Kayat Bittencourt L, Borofsky S, Kabakus IM, Law YM, Marko J, Shebel H, Mertan FV, Merino MJ, Wood BJ, Pinto PA, Summers RM, Choyke PL, Turkbey B.

Radiology. 2017 Dec;285(3):859-869. doi: 10.1148/radiol.2017161316. Epub 2017 Jul 19.


Detection of prostate cancer in multiparametric MRI using random forest with instance weighting.

Lay N, Tsehay Y, Greer MD, Turkbey B, Kwak JT, Choyke PL, Pinto P, Wood BJ, Summers RM.

J Med Imaging (Bellingham). 2017 Apr;4(2):024506. doi: 10.1117/1.JMI.4.2.024506. Epub 2017 Jun 12.


Mixed spine metastasis detection through positron emission tomography/computed tomography synthesis and multiclassifier.

Yao J, Burns JE, Sanoria V, Summers RM.

J Med Imaging (Bellingham). 2017 Apr;4(2):024504. doi: 10.1117/1.JMI.4.2.024504. Epub 2017 Jun 5.


Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks.

Liu J, Wang D, Lu L, Wei Z, Kim L, Turkbey EB, Sahiner B, Petrick NA, Summers RM.

Med Phys. 2017 Sep;44(9):4630-4642. doi: 10.1002/mp.12399. Epub 2017 Jul 18.


DeepPap: Deep Convolutional Networks for Cervical Cell Classification.

Zhang L, Le Lu, Nogues I, Summers RM, Liu S, Yao J.

IEEE J Biomed Health Inform. 2017 Nov;21(6):1633-1643. doi: 10.1109/JBHI.2017.2705583. Epub 2017 May 19.


Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset Session.

Kohli MD, Summers RM, Geis JR.

J Digit Imaging. 2017 Aug;30(4):392-399. doi: 10.1007/s10278-017-9976-3.

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