Tilman Schmoll
Papers
2
Total Citations
3
H-Index
1
About
Tilman Schmoll is a pioneering researcher at the intersection of ophthalmic imaging and surgical data science. His work centers on advancing optical coherence tomography (OCT) technology for cataract surgery, with a particular focus on developing novel visualization and computational methods to improve surgical outcomes. Schmoll’s major contributions include the creation of PASO, the first multipurpose porcine anterior segment dataset that integrates spectral and reconstructed OCT volume scans with surgical instrument segmentation masks—a resource that has already garnered 2 citations since its 2025 release. His 2024 study on 4D microscope-integrated swept-source OCT demonstrated unprecedented real-time visualization of cataract surgery steps in ex vivo porcine eyes, establishing a new benchmark for intraoperative imaging. With a combined 3 citations across his most-cited works, Schmoll’s impact lies in bridging the gap between high-resolution imaging and automated surgical analysis. His achievements include pioneering the use of high-speed SS-OCT for surgical guidance and providing open-access datasets that empower the computer vision and ophthalmic communities to develop AI-driven tools for safer, more precise cataract procedures.
Research Focus
Key Achievements
Top Papers
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