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Overview


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


In the News


Published May 10, 2022
AI Uses Body CT to Classify Multiple Diseases in Different Organ Systems

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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

The Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-Dose Screening Thoracic CT.

Journal Article Radiol Artif Intell · July 2025 The Duke Lung Cancer Screening (DLCS) Dataset contains is a large collection of lung cancer screening low-dose CT scans for lung nodule classification with annotations performed in a semi-automated manner, requiring substantially reduced radiologist effort ... Full text Link to item Cite

XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans.

Journal Article Med Image Anal · July 2025 Virtual Imaging Trials (VIT) offer a cost-effective and scalable approach for evaluating medical imaging technologies. Computational phantoms, which mimic real patient anatomy and physiology, play a central role in VITs. However, the current libraries of c ... Full text Link to item Cite
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