Kara Calkins
· Resident Research Liaison, UCLAUniversity of California, Los Angeles · Pediatrics
Active 2011–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
About
Kara Lynne Calkins is a Clinical Professor in the Department of Pediatrics at UCLA David Geffen School of Medicine. Her research focuses on quantifying body composition and liver disease in children using advanced imaging techniques such as free-breathing MRI and MRE. She has contributed to numerous studies related to pediatric nutrition, neonatal care, and liver elastography, with a particular emphasis on neonatal nutrition management, lipid emulsions, and the effects of nutrition on preterm infants and children with gastrointestinal and liver conditions. Her work includes investigating the impact of fatty acids, parenteral nutrition, and donor milk in neonatal and pediatric populations, as well as exploring the technical performance of liver MRI elastography in children.
Research topics
- Medicine
- Artificial Intelligence
- Internal medicine
- Computer Science
- Pediatrics
- Obstetrics
- Radiology
- Computer vision
- Mathematics
- Nuclear medicine
Selected publications
Annals of Surgery · 2021 · 126 citations
OBJECTIVE: The aim of this study was to determine which initial surgical treatment results in the lowest rate of death or neurodevelopmental impairment (NDI) in premature infants with necrotizing enterocolitis (NEC) or isolated intestinal perforation (IP). SUMMARY BACKGROUND DATA: The impact of initial laparotomy versus peritoneal drainage for NEC or IP on the rate of death or NDI in extremely low birth weight infants is unknown. METHODS: We conducted the largest feasible randomized trial in 20…
The Journal of Pediatrics · 2020-10-08 · 49 citations
articleOpen accessGrowth Failure Prevalence in Neonates with Gastroschisis : A Statewide Cohort Study
The Journal of Pediatrics · 2021 · 17 citations
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) · 2021 · 14 citations
Deep learning has been applied to remove artifacts from undersampled MRI and to replace time-consuming signal fitting in quantitative MRI, but these have usually been treated as separate tasks, which does not fully exploit the shared information. This work proposes a new two-stage framework that completes these two tasks in a concerted approach and also estimates the pixel-wise uncertainty levels. Results from accelerated free-breathing radial MRI for liver fat quantification demonstrate that th…
Free-breathing radial magnetic resonance elastography of the liver in children at 3 T: a pilot study
Pediatric Radiology · 2022 · 12 citations
BACKGROUND: Magnetic resonance (MR) elastography of the liver measures hepatic stiffness, which correlates with the histopathological staging of liver fibrosis. Conventional Cartesian gradient-echo (GRE) MR elastography requires breath-holding, which is challenging for children. Non-Cartesian radial free-breathing MR elastography is a potential solution to this problem. OBJECTIVE: To investigate radial free-breathing MR elastography for measuring hepatic stiffness in children. MATERIALS AND METH…
Recent grants
NIH · $41.8M · 2011
Frequent coauthors
- 20 shared
Holden H. Wu
- 19 shared
Katie M. Strobel
University of Washington
- 18 shared
Tristan Grogan
University of California, Los Angeles
- 16 shared
Robert S. Venick
- 16 shared
Muralidhar H. Premkumar
Texas Children's Hospital
- 15 shared
Stephen B. Shew
Lucile Packard Children's Hospital
- 15 shared
Sevgi Gökçe Kafalı
- 15 shared
Shahnaz Ghahremani
Education
- 2014
Masters of Science Clinical Research
University of California Los Angeles
- 2003
MD
University of California Irvine
- 1998
BS
University of California Davis
Similar researchers at University of California, Los Angeles
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Kara Calkins
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup
