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NUSWIL BERNOLIAN

Ilmu Kebidanan Dan Penyakit Kandungan

NIDN/NIDK : 8835330017

NUSWIL BERNOLIAN

Ilmu Kebidanan Dan Penyakit Kandungan

NIDN/NIDK : 8835330017

H-INDEX

WoS H-Index : 0

Scopus H-Index : 3

Google H-Index : 4

H-INDEX

WoS H-Index : 0

Scopus H-Index : 3

Google H-Index : 4

Scopus Documents

Total : 13

Q1
Automatic echocardiographic anomalies interpretation using a stacked residual-dense network model
Authors : NUSWIL BERNOLIAN
Citation : 1
Cover Date : 2023-12-01
Type Doc : Journal
Publication Name : BMC Bioinformatics
ISSN :
DOI : 10.1186/s12859-023-05493-9
Q4
The Association of COVID-19 Severity with Laboratory Parameters, Radiologic Findings, Maternal and Neonatal Outcomes in Pregnant Women: A Multicenter Study in Indonesia
Authors : NUSWIL BERNOLIAN
Citation : 0
Cover Date : 2023-03-01
Type Doc : Journal
Publication Name : Journal of South Asian Federation of Obstetrics and Gynaecology
ISSN : 09748938
DOI : 10.5005/jp-journals-10006-2221
Q1
Deep Learning for Improving the Effectiveness of Routine Prenatal Screening for Major Congenital Heart Diseases
Authors : NUSWIL BERNOLIAN
Citation : 9
Cover Date : 2022-11-01
Type Doc : Journal
Publication Name : Journal of Clinical Medicine
ISSN :
DOI : 10.3390/jcm11216454
Q3
Placenta accreta spectrum disorder in a primigravida with angular pregnancy: a case report
Authors : NUSWIL BERNOLIAN
Citation : 1
Cover Date : 2022-06-01
Type Doc : Journal
Publication Name : Medical Journal of Indonesia
ISSN : 08531773
DOI : 10.13181/mji.cr.226011
Q4
Comparison of Antenatal and Postnatal Findings of Body Stalk Anomaly
Authors : NUSWIL BERNOLIAN
Citation : 0
Cover Date : 2022-05-01
Type Doc : Journal
Publication Name : Journal of South Asian Federation of Obstetrics and Gynaecology
ISSN : 09748938
DOI : 10.5005/jp-journals-10006-2045
Q1
FetalNet: Low-light fetal echocardiography enhancement and dense convolutional network classifier for improving heart defect prediction
Authors : NUSWIL BERNOLIAN
Citation : 1
Cover Date : 2022-01-01
Type Doc : Journal
Publication Name : Informatics in Medicine Unlocked
ISSN : 23529148
DOI : 10.1016/j.imu.2022.101136