Fakrul Islam Tushar

Fakrul Islam Tushar is a second-year Ph.D. student in the Department of Electrical and Computer Engineering at Duke University. He is also a Research Associate at the Center for Virtual Imaging Trials primarily engaged in research, computer-aided diagnosis, and healthcare innovation using machine learning and image analysis-driven solutions. He graduated from the Erasmus+ Joint Master’s in Medical Imaging and Applications (Spain, Italy, and France) and served as a Post-Graduate Research Associate at the Carl E. Ravin Advanced Imaging Laboratories (RAI Labs) at Duke University Medical Center. He earned a Bachelor of Science degree in Electrical and Electronics Engineering at the American International University Bangladesh (AIUB).

Current Appointments & Affiliations

Student Electrical and Computer Engineering, Pratt School of Engineering

Recent Publications

Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection.

Journal Article Med Image Anal · July 2025 Clinical imaging trials play a crucial role in advancing medical innovation but are often costly, inefficient, and ethically constrained. Virtual Imaging Trials (VITs) present a solution by simulating clinical trial components in a controlled, risk-free en ... Full text Link to item Cite

SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training

Preprint · February 28, 2025 Link to item Cite

Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT.

Journal Article Artif Intell Med · February 2025 In this paper, we introduce a novel concordance-based predictive uncertainty (CPU)-Index, which integrates insights from subgroup analysis and personalized AI time-to-event models. Through its application in refining lung cancer screening (LCS) predictions ... Full text Link to item Cite

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