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Petar M Djuric
State University New York Stony Brook
$1,817,352
Attributed
$3,634,703
Total exposure
2
Grants
1
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $676.8K · FY2015–23$1M$750K$500K$250K$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$3,634,703 · 2
By mechanism
R01$3,207,012 · 1
R21$427,691 · 1
Top collaborators
- J Gerald Quirk7 shared
Most similar at State University New York Stony Brook
Same institution · by research overlap
- J Gerald Quirk$1,817,352
- Tracy Saunders$2,254
Others in their field
Top investigators on “Apgar Score”
- Suzanne Phelan · Miriam Hospital$3,838,923
- Lisa Chasan-Taber · University Of Massachusetts Amherst$3,735,072
- Nandini Raghuraman · Washington University$2,637,370
- Samantha Erika Meltzer-Brody · Univ Of North Carolina Chapel Hill$2,575,103
- Sandra E Juul · University Of Florida$2,560,004
- Sherri Rose · Harvard Medical School$2,542,500
Research focus
Apgar ScoreTrainingMonitorUmbilical Cord StructureRecordsTheoriesDecision Support SystemsFetal Heart RateFetal MonitoringMethodologyPatternPerformanceSignal TransductionStemAlgorithmsCategoriesBaseFetalBayesian MethodClassificationFetusMachine LearningHeart Rate MonitorCesarean Section
Grant awards (7)
Rethinking Electronic Fetal Monitoring to Improve Perinatal Outcomes and Reduce Frequency of Operative Vaginal and Cesarean Deliveries$526,934
R01 · FY2023 · HD · contact PI
Rethinking Electronic Fetal Monitoring to Improve Perinatal Outcomes and Reduce Frequency of Operative Vaginal and Cesarean Deliveries$663,252
R01 · FY2022 · HD · contact PI
Rethinking Electronic Fetal Monitoring to Improve Perinatal Outcomes and Reduce Frequency of Operative Vaginal and Cesarean Deliveries$663,252
R01 · FY2021 · HD · contact PI
Rethinking Electronic Fetal Monitoring to Improve Perinatal Outcomes and Reduce Frequency of Operative Vaginal and Cesarean Deliveries$676,787
R01 · FY2020 · HD · contact PI
Rethinking Electronic Fetal Monitoring to Improve Perinatal Outcomes and Reduce Frequency of Operative Vaginal and Cesarean Deliveries$676,787
R01 · FY2019 · HD
Machine learning with generative mixture models for fetal monitoring$193,120
R21 · FY2016 · HD
Machine learning with generative mixture models for fetal monitoring$234,571
R21 · FY2015 · HD