249 related articles for article (PubMed ID: 17579160)
21. Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.
Madabhushi A; Feldman MD; Metaxas DN; Tomaszeweski J; Chute D
IEEE Trans Med Imaging; 2005 Dec; 24(12):1611-25. PubMed ID: 16350920
[TBL] [Abstract][Full Text] [Related]
22. Automatic brain MR image denoising based on texture feature-based artificial neural networks.
Chang YN; Chang HH
Biomed Mater Eng; 2015; 26 Suppl 1():S1275-82. PubMed ID: 26405887
[TBL] [Abstract][Full Text] [Related]
23. MR imaging of intrahepatic cholangiocarcinoma with pathologic correlation.
Maetani Y; Itoh K; Watanabe C; Shibata T; Ametani F; Yamabe H; Konishi J
AJR Am J Roentgenol; 2001 Jun; 176(6):1499-507. PubMed ID: 11373220
[TBL] [Abstract][Full Text] [Related]
24. Detection of hepatocellular carcinoma in patients with cirrhosis: MR imaging versus angiographically assisted helical CT.
Kanematsu M; Hoshi H; Murakami T; Inaba Y; Kim T; Yamada T; Kato M; Yokoyama R; Nakamura H
AJR Am J Roentgenol; 1997 Dec; 169(6):1507-15. PubMed ID: 9393154
[TBL] [Abstract][Full Text] [Related]
25. Performance evaluation of radiologists with artificial neural network for differential diagnosis of intra-axial cerebral tumors on MR images.
Yamashita K; Yoshiura T; Arimura H; Mihara F; Noguchi T; Hiwatashi A; Togao O; Yamashita Y; Shono T; Kumazawa S; Higashida Y; Honda H
AJNR Am J Neuroradiol; 2008 Jun; 29(6):1153-8. PubMed ID: 18388216
[TBL] [Abstract][Full Text] [Related]
26. Diagnostic accuracy and reading time to detect intracranial aneurysms on MR angiography using a computer-aided diagnosis system.
Kakeda S; Korogi Y; Arimura H; Hirai T; Katsuragawa S; Aoki T; Doi K
AJR Am J Roentgenol; 2008 Feb; 190(2):459-65. PubMed ID: 18212233
[TBL] [Abstract][Full Text] [Related]
27. Brain MR images segmentation using statistical ratio: mapping between watershed and competitive Hopfield clustering network algorithms.
Kuo WF; Lin CY; Sun YN
Comput Methods Programs Biomed; 2008 Sep; 91(3):191-8. PubMed ID: 18555554
[TBL] [Abstract][Full Text] [Related]
28. MR fetography using heavily T2-weighted sequences: comparison of thin- and thick-slab acquisitions.
Huisman TA; Solopova A
Eur J Radiol; 2009 Sep; 71(3):557-63. PubMed ID: 18619753
[TBL] [Abstract][Full Text] [Related]
29. Expression of vascular endothelial growth factor in hepatocellular carcinoma and the surrounding liver and correlation with MRI findings.
Kanematsu M; Osada S; Amaoka N; Goshima S; Kondo H; Kato H; Nishibori H; Yokoyama R; Hoshi H; Moriyama N
AJR Am J Roentgenol; 2005 Mar; 184(3):832-41. PubMed ID: 15728605
[TBL] [Abstract][Full Text] [Related]
30. Automatic segmentation and plaque characterization in atherosclerotic carotid artery MR images.
Adame IM; van der Geest RJ; Wasserman BA; Mohamed MA; Reiber JH; Lelieveldt BP
MAGMA; 2004 Apr; 16(5):227-34. PubMed ID: 15029508
[TBL] [Abstract][Full Text] [Related]
31. Computer-aided diagnosis of early knee osteoarthritis based on MRI T2 mapping.
Wu Y; Yang R; Jia S; Li Z; Zhou Z; Lou T
Biomed Mater Eng; 2014; 24(6):3379-88. PubMed ID: 25227048
[TBL] [Abstract][Full Text] [Related]
32. Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of magnetic resonance images.
Theocharakis P; Glotsos D; Kalatzis I; Kostopoulos S; Georgiadis P; Sifaki K; Tsakouridou K; Malamas M; Delibasis G; Cavouras D; Nikiforidis G
Magn Reson Imaging; 2009 Apr; 27(3):417-22. PubMed ID: 18786795
[TBL] [Abstract][Full Text] [Related]
33. Computer-aided diagnosis of soft tissue tumors on high-resolution ultrasonography with geometrical and morphological features.
Chen CY; Chiou HJ; Chou YH; Chiou SY; Wang HK; Chou SY; Chiang HK
Acad Radiol; 2009 May; 16(5):618-26. PubMed ID: 19345903
[TBL] [Abstract][Full Text] [Related]
34. Application of computer-aided diagnosis (CAD) in MR-mammography (MRM): do we really need whole lesion time curve distribution analysis?
Baltzer PA; Renz DM; Kullnig PE; Gajda M; Camara O; Kaiser WA
Acad Radiol; 2009 Apr; 16(4):435-42. PubMed ID: 19268855
[TBL] [Abstract][Full Text] [Related]
35. Susceptibility-weighted MRI of endometrioma: preliminary results.
Takeuchi M; Matsuzaki K; Nishitani H
AJR Am J Roentgenol; 2008 Nov; 191(5):1366-70. PubMed ID: 18941070
[TBL] [Abstract][Full Text] [Related]
36. MRI arterial enhancement fraction in hepatic fibrosis and cirrhosis.
Ou HY; Bonekamp S; Bonekamp D; Corona-Villalobos CP; Torbenson MS; Geiger B; Kamel IR
AJR Am J Roentgenol; 2013 Oct; 201(4):W596-602. PubMed ID: 24059398
[TBL] [Abstract][Full Text] [Related]
37. High-b value diffusion-weighted MRI for detecting pancreatic adenocarcinoma: preliminary results.
Ichikawa T; Erturk SM; Motosugi U; Sou H; Iino H; Araki T; Fujii H
AJR Am J Roentgenol; 2007 Feb; 188(2):409-14. PubMed ID: 17242249
[TBL] [Abstract][Full Text] [Related]
38. Effect of a novel segmentation algorithm on radiologists' diagnosis of breast masses using ultrasound imaging.
Tian JW; Ning CP; Guo YH; Cheng HD; Tang XL
Ultrasound Med Biol; 2012 Jan; 38(1):119-27. PubMed ID: 22104530
[TBL] [Abstract][Full Text] [Related]
39. Utility of texture analysis for quantifying hepatic fibrosis on proton density MRI.
Yu H; Buch K; Li B; O'Brien M; Soto J; Jara H; Anderson SW
J Magn Reson Imaging; 2015 Nov; 42(5):1259-65. PubMed ID: 26477447
[TBL] [Abstract][Full Text] [Related]
40. Computer-aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithm.
Ishioka J; Matsuoka Y; Uehara S; Yasuda Y; Kijima T; Yoshida S; Yokoyama M; Saito K; Kihara K; Numao N; Kimura T; Kudo K; Kumazawa I; Fujii Y
BJU Int; 2018 Sep; 122(3):411-417. PubMed ID: 29772101
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]