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Items: 5

1.

Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study.

Becker AS, Blüthgen C, Phi van VD, Sekaggya-Wiltshire C, Castelnuovo B, Kambugu A, Fehr J, Frauenfelder T.

Int J Tuberc Lung Dis. 2018 Mar 1;22(3):328-335. doi: 10.5588/ijtld.17.0520.

PMID:
29471912
2.

Medicina ex Machina: Machine Learning in der Medizin.

Becker AS, Blüthgen C, Mühlematter U, Boss A.

Praxis (Bern 1994). 2018 Jan;107(1):19-23. doi: 10.1024/1661-8157/a002920. German. No abstract available.

PMID:
29295679
3.

Economical Sponge Phantom for Teaching, Understanding, and Researching A- and B-Line Reverberation Artifacts in Lung Ultrasound.

Blüthgen C, Sanabria S, Frauenfelder T, Klingmüller V, Rominger M.

J Ultrasound Med. 2017 Oct;36(10):2133-2142. doi: 10.1002/jum.14266. Epub 2017 Jun 19.

PMID:
28626903
4.

Distribution of the CCR5-delta32 deletion in Southwest Germany.

Hütter G, Blüthgen C, Elvers-Hornung S, Klüter H, Bugert P.

Anthropol Anz. 2015;72(3):303-9. doi: 10.1127/anthranz/2015/0479. Epub 2015 Feb 3.

PMID:
25807520
5.

Coregulation of HIV-1 dependency factors in individuals heterozygous to the CCR5-delta32 deletion.

Hütter G, Blüthgen C, Neumann M, Reinwald M, Nowak D, Klüter H.

AIDS Res Ther. 2013 Nov 18;10(1):26. doi: 10.1186/1742-6405-10-26.

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