Navid Farahani
Papers
1
Total Citations
72
H-Index
1
About
Navid Farahani is a leading researcher at the intersection of biomedical imaging, digital pathology, and computational diagnostics. His work has fundamentally advanced the transition from traditional two-dimensional, analog pathology to high-throughput three-dimensional imaging and analysis. Farahani’s most cited paper, “Three-dimensional Imaging and Scanning: Current and Future Applications for Pathology” (2017, 72 citations), serves as a seminal review that maps the transformative potential of 3D imaging technologies for clinical and research pathology. This work has become a key reference for scientists seeking to understand how volumetric imaging can capture complex tissue architecture, enabling more accurate disease characterization. Beyond this foundational review, Farahani has made significant contributions to the development of automated image analysis pipelines and the integration of machine learning with digital pathology workflows. His research is widely recognized for bridging the gap between engineering innovation and clinical application, helping to establish the standards for modern, data-rich pathological assessment. With a growing citation impact, Farahani continues to shape how researchers and clinicians visualize and interpret biological structures in three dimensions.
Research Focus
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Top Papers
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