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1 to 10 of 3,744 Results
Economic impacts of oral diseases in 2019 - data for 194 countries
Jun 23, 2022 - Translational Health Economics
Jevdjevic, Milica; Listl, Stefan, 2022, "Economic impacts of oral diseases in 2019 - data for 194 countries", https://doi.org/10.11588/data/JGJKK0, heiDATA, V1, UNF:6:vnazrLSpgQXypPHGj+JjLQ== [fileUNF]
Data for the global, regional, and country-level economic impacts of oral diseases in 2019. Methodology is based on: (1) Listl S, Galloway J, Mossey PA, Marcenes W. Global Economic Impact of Dental Diseases. J Dent Res. 2015;94:1355-61. (2) Righolt AJ, Jevdjevic M, Marcenes W, Li...
GATHER-checklist_economic_impacts_dental_diseases_2019.docx
Jun 23, 2022 - Economic impacts of oral diseases in 2019 - data for 194 countries
MS Word - 73.8 KB - MD5: f1d80576602f4e2d8ed408b783cf9a4f
GATHER checklist information that should be included in new reports of global health estimates
WHO_global2019_checked.tab
Jun 23, 2022 - Economic impacts of oral diseases in 2019 - data for 194 countries
Tabular Data - 23.1 KB - 4 Variables, 1840 Observations - UNF:6:vnazrLSpgQXypPHGj+JjLQ==
Multimodal ground truth datasets for abdominal medical image registration [data]
Jun 22, 2022 - Computer Assisted Clinical Medicine
Zöllner, Frank, 2022, "Multimodal ground truth datasets for abdominal medical image registration [data]", https://doi.org/10.11588/data/ICSFUS, heiDATA, V1
Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical conditions and the success of interventional medical procedures. To overcome the shortage of data,...
CBCT.zip
Jun 22, 2022 - Multimodal ground truth datasets for abdominal medical image registration [data]
ZIP Archive - 25.4 GB - MD5: 5827c4d57139e094fd58b32417b8b436
CT.zip
Jun 22, 2022 - Multimodal ground truth datasets for abdominal medical image registration [data]
ZIP Archive - 2.8 GB - MD5: d68291bee7870146b4c72ea475a23a67
MR.zip
Jun 22, 2022 - Multimodal ground truth datasets for abdominal medical image registration [data]
ZIP Archive - 3.5 GB - MD5: 7ecd9b894710d6269f28e63d4e668b57
User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]
User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]
Jun 17, 2022 - Division of Infectious Disease and Tropical Medicine
Herrmann, Yannis; Lainati, Federica; del Mar Castro, María; Mwamba, Chanda; Kumwenda, Moses; Muyoyeta, Monde; Broger, Tobias; Heinrich, Norbert; Olbrich, Lisa; Corbett, Elizabeth; McMahon, Shannon; Engel, Nora; Denkinger, Claudia, 2022, "User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]", https://doi.org/10.11588/data/PLRQCZ, heiDATA, V1
This data set supports the findings of the FujiLAM qualitative study published in PLOS Global Public Health (Titel:"User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia"). The repository contains our d...
User_perspectives_and_preferences_on_a_novel_TB_LAM_diagnostic__Fujifilm_SILVAMP_TB_LAM__a_qualitative_study_in_Malawi_and_Zambia__AnalysisMemos.pdf
User_perspectives_and_preferences_on_a_novel_TB_LAM_diagnostic__Fujifilm_SILVAMP_TB_LAM__a_qualitative_study_in_Malawi_and_Zambia__AnalysisMemos.pdf
Jun 17, 2022 - User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]
Adobe PDF - 283.7 KB - MD5: 7f00cdb9c5e83223827d4af412c14848
User_perspectives_and_preferences_on_a_novel_TB_LAM_diagnostic__Fujifilm_SILVAMP_TB_LAM__a_qualitative_study_in_Malawi_and_Zambia__Repository.pdf
User_perspectives_and_preferences_on_a_novel_TB_LAM_diagnostic__Fujifilm_SILVAMP_TB_LAM__a_qualitative_study_in_Malawi_and_Zambia__Repository.pdf
Jun 17, 2022 - User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]
Adobe PDF - 355.3 KB - MD5: e3e2fad683d2e67d6e2fcef7c27a7e80
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