Výsledky vyhledávání - "Ladikos Alexander"

Akademický článek

Integrating 3D cameras into sterile surgical environments: A comparison of different protective materials regarding scan accuracy

Autor: Wagner Lars, Bernhard Lukas, Fuchtmann Jonas, Asim Karaoglu Mert, Ladikos Alexander, Feußner Hubertus, Wilhelm Dirk

Publikováno v: Current Directions in Biomedical Engineering, Vol 8, Iss 1, Pp 25-29 (2022)

This work presents a sterile concept for 3D cameras within sterile surgical environments. In the digital operating room (OR), such cameras can serve as a valuable data source for cognitive workflow assistance systems, e.g decision or mechatronic supp

Externí odkaz: https://doaj.org/article/b3d8fda7a428493bb78d5e6c6af974fb

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FLex: Joint Pose and Dynamic Radiance Fields Optimization for Stereo Endoscopic Videos

Autor: Stilz, Florian Philipp, Karaoglu, Mert Asim, Tristram, Felix, Navab, Nassir, Busam, Benjamin, Ladikos, Alexander

Reconstruction of endoscopic scenes is an important asset for various medical applications, from post-surgery analysis to educational training. Neural rendering has recently shown promising results in endoscopic reconstruction with deforming tissue.

Externí odkaz: http://arxiv.org/abs/2403.12198

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RIDE: Self-Supervised Learning of Rotation-Equivariant Keypoint Detection and Invariant Description for Endoscopy

Autor: Karaoglu, Mert Asim, Markova, Viktoria, Navab, Nassir, Busam, Benjamin, Ladikos, Alexander

Unlike in natural images, in endoscopy there is no clear notion of an up-right camera orientation. Endoscopic videos therefore often contain large rotational motions, which require keypoint detection and description algorithms to be robust to these c

Externí odkaz: http://arxiv.org/abs/2309.09563

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DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields

Autor: Schischka, Nicolas, Schieber, Hannah, Karaoglu, Mert Asim, Görgülü, Melih, Grötzner, Florian, Ladikos, Alexander, Roth, Daniel, Navab, Nassir, Busam, Benjamin

The accurate reconstruction of dynamic scenes with neural radiance fields is significantly dependent on the estimation of camera poses. Widely used structure-from-motion pipelines encounter difficulties in accurately tracking the camera trajectory wh

Externí odkaz: http://arxiv.org/abs/2309.08927

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Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation

Autor: Karaoglu, Mert Asim, Brasch, Nikolas, Stollenga, Marijn, Wein, Wolfgang, Navab, Nassir, Tombari, Federico, Ladikos, Alexander

Depth estimation from monocular images is an important task in localization and 3D reconstruction pipelines for bronchoscopic navigation. Various supervised and self-supervised deep learning-based approaches have proven themselves on this task for na

Externí odkaz: http://arxiv.org/abs/2109.11798

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