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Two-view digital breast tomosynthesis screening with synthetically reconstructed projection images: comparison with digital breast tomosynthesis with full-field digital mammographic images
Two-view digital breast tomosynthesis screening with synthetically reconstructed projection images: comparison with digital breast tomosynthesis with full-field digital mammographic images
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Two-view digital breast tomosynthesis screening with synthetically reconstructed projection images: comparison with digital breast tomosynthesis with full-field digital mammographic images

Skaane, Per ; Bandos, Andriy I ; Eben, Ellen B ; Jebsen, Ingvild N ; Krager, Mona ; Haakenaasen, Unni ; Ekseth, Ulrika ; Izadi, Mina ; Hofvind, Solveig ; Gullien, Randi

Radiology, 2014-06, Vol.271 (3), p.655-663 [Periódico revisado por pares]

United States

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12
Intrahepatic Mass-forming Cholangiocarcinoma: Enhancement Patterns on Gadoxetic Acid―enhanced MR Images
Intrahepatic Mass-forming Cholangiocarcinoma: Enhancement Patterns on Gadoxetic Acid―enhanced MR Images
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Intrahepatic Mass-forming Cholangiocarcinoma: Enhancement Patterns on Gadoxetic Acid―enhanced MR Images

Kang, Yusuhn ; Lee, Jeong Min ; Kim, Seung Ho ; Han, Joon Koo ; Choi, Byung Ihn

Radiology, 2012-09, Vol.264 (3), p.751-760 [Periódico revisado por pares]

Oak Brook, IL: Radiological Society of North America

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13
Deep Learning-based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study
Deep Learning-based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study
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Deep Learning-based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study

Tao, Qian ; Yan, Wenjun ; Wang, Yuanyuan ; Paiman, Elisabeth H M ; Shamonin, Denis P ; Garg, Pankaj ; Plein, Sven ; Huang, Lu ; Xia, Liming ; Sramko, Marek ; Tintera, Jarsolav ; de Roos, Albert ; Lamb, Hildo J ; van der Geest, Rob J

Radiology, 2019-01, Vol.290 (1), p.81-88 [Periódico revisado por pares]

United States

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14
Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score--a computer-aided diagnosis development study
Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score--a computer-aided diagnosis development study
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Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score--a computer-aided diagnosis development study

Peng, Yahui ; Jiang, Yulei ; Yang, Cheng ; Brown, Jeremy Bancroft ; Antic, Tatjana ; Sethi, Ila ; Schmid-Tannwald, Christine ; Giger, Maryellen L ; Eggener, Scott E ; Oto, Aytekin

Radiology, 2013-06, Vol.267 (3), p.787-796 [Periódico revisado por pares]

United States: Radiological Society of North America, Inc

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15
Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists
Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists
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Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists

Buda, Mateusz ; Wildman-Tobriner, Benjamin ; Hoang, Jenny K ; Thayer, David ; Tessler, Franklin N ; Middleton, William D ; Mazurowski, Maciej A

Radiology, 2019-09, Vol.292 (3), p.695 [Periódico revisado por pares]

United States

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16
Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning
Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning
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Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning

Zhou, Li-Qiang ; Wu, Xing-Long ; Huang, Shu-Yan ; Wu, Ge-Ge ; Ye, Hua-Rong ; Wei, Qi ; Bao, Ling-Yun ; Deng, You-Bin ; Li, Xing-Rui ; Cui, Xin-Wu ; Dietrich, Christoph F

Radiology, 2020-01, Vol.294 (1), p.19-28 [Periódico revisado por pares]

United States

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17
Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017
Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017
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Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017

MacMahon, Heber ; Naidich, David P. ; Goo, Jin Mo ; Lee, Kyung Soo ; Leung, Ann N. C. ; Mayo, John R. ; Mehta, Atul C. ; Ohno, Yoshiharu ; Powell, Charles A. ; Prokop, Mathias ; Rubin, Geoffrey D. ; Schaefer-Prokop, Cornelia M. ; Travis, William D. ; Van Schil, Paul E. ; Bankier, Alexander A.

Radiology, 2017-07, Vol.284 (1), p.228-243 [Periódico revisado por pares]

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18
Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017
Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017
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Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017

MacMahon, Heber ; Naidich, David P ; Goo, Jin Mo ; Lee, Kyung Soo ; Leung, Ann N C ; Mayo, John R ; Mehta, Atul C ; Ohno, Yoshiharu ; Powell, Charles A ; Prokop, Mathias ; Rubin, Geoffrey D ; Schaefer-Prokop, Cornelia M ; Travis, William D ; Van Schil, Paul E ; Bankier, Alexander A

Radiology, 2017-07, Vol.284 (1), p.228 [Periódico revisado por pares]

United States

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19
Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas
Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas
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Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas

Beig, Niha ; Khorrami, Mohammadhadi ; Alilou, Mehdi ; Prasanna, Prateek ; Braman, Nathaniel ; Orooji, Mahdi ; Rakshit, Sagar ; Bera, Kaustav ; Rajiah, Prabhakar ; Ginsberg, Jennifer ; Donatelli, Christopher ; Thawani, Rajat ; Yang, Michael ; Jacono, Frank ; Tiwari, Pallavi ; Velcheti, Vamsidhar ; Gilkeson, Robert ; Linden, Philip ; Madabhushi, Anant

Radiology, 2019-03, Vol.290 (3), p.783-792 [Periódico revisado por pares]

United States: Radiological Society of North America

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20
Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid-enhanced Hepatobiliary Phase MR Images
Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid-enhanced Hepatobiliary Phase MR Images
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Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid-enhanced Hepatobiliary Phase MR Images

Yasaka, Koichiro ; Akai, Hiroyuki ; Kunimatsu, Akira ; Abe, Osamu ; Kiryu, Shigeru

Radiology, 2018-04, Vol.287 (1), p.146-155 [Periódico revisado por pares]

United States

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