Rafael B. Fricks, PhD
Research Assistant Professor
Boston University Chobanian & Avedisian School of Medicine
General Internal Medicine

Diversity, Equity, Inclusion and Accessibility

2016 - Served as mentor in a pilot of Duke University Department of Electrical and Computer Engineering’s Summer High School Outreach Program (SHOP), an effort to bring high school students from traditionally underrepresented backgrounds into engineering research. I led one-on-one instruction with mentees over the summer, culminating in a research poster presentation titled “Activity Classification using Biopotential Signals,” which won first place in a faculty panel judgment of all high school participants’ entries.

2016 - 2018 - Mentored four junior peers through the Biomedical Engineering PhD First Year Mentor program at Duke University through informal meetings to help ease student’s transition into graduate school and build community within our department.

2017 - 2018 - Founded an initiative to introduce undergraduates from Duke University’s Office of Pre-Health Advising into clinic shadowing at a busy outpatient clinic as a first exposure to clinical reality for aspiring physicians. Students observed clinical practices, timed visit durations, and produced a research poster presented at the AMIA Clinical Informatics Conference in 2018.

2022 - Worked with high school students from the Girls Computing League Non-Profit Organization, which aims to bring underrepresented students into STEM fields. Under my mentorship students iterated on a Clinical Trial Selector Platform in collaboration with VA technical staff, and had an abstract accepted to present their work as a talk at the AMIA Clinical Informatics Conference in 2023.

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

iCite Analysis       Copy PMIDs To Clipboard

  1. Clark M, Meyer C, Ramos-Cejudo J, Elbers DC, Pierce-Murray K, Fricks R, Alterovitz G, Rao L, Brophy MT, Do NV, Grossman RL, Fillmore NR. Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots. Stud Health Technol Inform. 2024 Jan 25; 310:735-739.View Related Profiles. PMID: 38269906
  2. Tushar FI, Abadi E, Sotoudeh-Paima S, Fricks RB, Mazurowski MA, Segars WP, Samei E, Lo JY. Virtual Vs. Reality: External Validation of COVID-19 Classifiers Using XCAT Phantoms for Chest Computed Tomography. Proc SPIE Int Soc Opt Eng. 2022; 1203305. View Publication
  3. Fricks RB, Ria F, Chalian H, Khoshpouri P, Abadi E, Bianchi L, Segars WP, Samei E. Deep learning classification of COVID-19 in chest radiographs: performance and influence of supplemental training. J Med Imaging (Bellingham). 2021 Nov; 8(6):064501. PMID: 34869785; PMCID: PMC8635180; DOI: 10.1117/1.JMI.8.6.064501;
  4. Zarei M, Abadi E, Fricks RB, Segars WP, Samei E. A Probabilistic Conditional Adversarial Neural Network to Reduce Imaging Variation in Radiography. Proc SPIE Int Soc Opt Eng. 2021; 115953Y. View Publication
  5. Fricks RB, Abadi E, Ria F, Samei E. Classification of COVID-19 in Chest Radiographs: Assessing the Impact of Imaging Parameters Using Clinical and Simulated Images. Proc SPIE Int Soc Opt Eng. 2021; 115970A. View Publication
  6. Ria F, Fu W, Chalian H, Abadi E, Segars PW, Fricks R, Khoshpouri P, Samei E. A comparison of COVID-19 and imaging radiation risk in clinical patient populations. J Radiol Prot. 2020 Nov 11; 40(4). PMID: 33027775; PMCID: PMC9757494; DOI: 10.1088/1361-6498/abbf3b;
  7. Fricks RB, Solomon J, Samei E. Automatic Phantom Test Pattern Classification Through Transfer Learning with Deep Neural Networks. Proc SPIE Int Soc Opt Eng. 2020; 113122Q. View Publication
  8. Fricks RB, Tseng H, Veihl M, Trivedi KS, Barr RC. Robust Prediction Of Treatment Times In Concurrent Patient Care. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul; 2018:5370-5373. PMID: 30441550; DOI: 10.1109/EMBC.2018.8513569;
  9. Fricks RB, Tseng HH, Pajic M, Trivedi KS. Transient performance & availability modeling in high volume outpatient clinics. Annu Rel Maint Symp (RAMS). 2017; 1-6.
  10. Fricks RB, Trivedi KS. Automated life cycle processing for complex medical imaging devices. Annu Rel Maint Symp (RAMS). 2017; 1-6.
Showing 10 of 13 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 12 publications over 7 distinct years, with a maximum of 3 publications in 2021


2017 IEEE Reliability and Maintainability Symposium: First Place Thomas L. Fagan Jr. Student Paper Award
Contact for Mentoring:

Fricks's Networks
Click the "See All" links for more information and interactive visualizations
Similar People
Same Department