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Daneshjou, R
46  Ergebnisse:
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Recommendations for the use of pediatric data in artificial..:

Muralidharan, V. ; Burgart, A. ; Daneshjou, R..
npj Digital Medicine.  6 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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2

Clinical photography in skin of colour: tips and best pract..:

Lester, J.C. ; Clark Jr, L. ; Linos, E..
British Journal of Dermatology.  184 (2021)  6 - p. 1177-1179 , 2021
Link: https://doi.org/10.1111/..
 
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3

Bioinformatics challenges for personalized medicine:

Fernald, G. H. ; Capriotti, E. ; Daneshjou, R...
Bioinformatics.  27 (2011)  16 - p. 2323-2323 , 2011
Link: https://doi.org/10.1093/..
 
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Recommendations for the use of pediatric data in artificial..:

Muralidharan, V ; Burgart, A ; Daneshjou, R.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482936/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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Genome-wide meta-analysis identifies eight new susceptibili..:

Sarin, KY ; Lin, Y ; Daneshjou, R...
Sarin , KY , Lin , Y , Daneshjou , R , Ziyatdinov , A , Thorleifsson , G , Rubin , A , Pardo Cortes , L , Wu , WT , Khavari , PA , Uitterlinden , A , Nijsten , T , Toland , AE , Olafsson , JH , Sigurgeirsson , B , Thorisdottir , K , Jorgensen , E , Whittemore , AS , Kraft , P , Stacey , SN , Stefansson , K , Asgari , MM & Han , JL 2020 , ' Genome-wide meta-analysis identifies eight new susceptibility loci for cutaneous squamous cell carcinoma ' , Nature Communications , vol. 11 , no. 1 , 820 . https://doi.org/10.1038/s41467-020-14594-5.  , 2020
Link: https://pure.eur.nl/en/p..
 
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6

Cohort-specific imputation of gene expression improves pred..:

Gottlieb, A ; Daneshjou, R ; DeGorter, M...
Genome Med.  , 2017
Link: http://qmro.qmul.ac.uk/x..
 
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7

Working toward precision medicine: Predicting phenotypes fr..:

Daneshjou, R ; Wang, Y ; Bromberg, Y...
https://discovery.ucl.ac.uk/id/eprint/1562691/1/Jones_Daneshjou_et_al-2017-Human_Mutation.pdf.  , 2017
Link: https://discovery.ucl.ac..
 
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8

Genome-wide meta-analysis identifies eight new susceptibili..:

Sarin, K.Y. (Kavita Y.) ; Lin, Y. (Yuan) ; Daneshjou, R. (Roxana)...
http://repub.eur.nl/pub/124709.  , 2020
Link: http://repub.eur.nl/pub/..
 
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9

Recommendations for the use of pediatric data in artificial..:

V. Muralidharan ; A. Burgart ; R. Daneshjou.
https://doi.org/10.1038/s41746-023-00898-5.  , 2023
Link: https://doi.org/10.1038/..
 
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10

Analysis of sound transmission through a finite length thic..:

Daneshjou, K. ; Kornokar, M. ; Khodabandelou, R..
Ocean Engineering.  295 (2024)  - p. 116732 , 2024
Link: https://doi.org/10.1016/..
 
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11

Deep learning-aided decision support for diagnosis of skin ..:

Groh, Matthew ; Badri, Omar ; Daneshjou, Roxana...
Nature Medicine.  30 (2024)  2 - p. 573-583 , 2024
Link: https://doi.org/10.1038/..
 
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12

Skin Tone Analysis for Representation in Educational Materi..:

Tadesse, Girmaw Abebe ; Cintas, Celia ; Varshney, Kush R....
npj Digital Medicine.  6 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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13

Incorporating the Havriliak–Negami model in wave propagatio..:

Talebitooti, R. ; Daneshjou, K. ; Tarkashvand, A.
Thin-Walled Structures.  134 (2019)  - p. 460-474 , 2019
Link: https://doi.org/10.1016/..
 
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14

Predicting venous thromboembolism risk from exomes in the C..:

McInnes, Gregory ; Daneshjou, Roxana ; Katsonis, Panagiostis...
Human Mutation.  40 (2019)  9 - p. 1314-1320 , 2019
Link: https://doi.org/10.1002/..
 
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15

Working toward precision medicine: Predicting phenotypes fr..:

Daneshjou, Roxana ; Wang, Yanran ; Bromberg, Yana...
Human Mutation.  38 (2017)  9 - p. 1182-1192 , 2017
Link: https://doi.org/10.1002/..
 
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