Browsing Fakultät für Maschinenbau by Author "ae77c47d-3a68-47ef-9e1c-c346460c4fd8"

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Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography

Laves, Max-Heinrich; Ihler, Sontje; Kahrs, Lüder A.; Ortmaier, Tobias (Bellingham, Wash. : SPIE, 2019)

In microsurgery, lasers have emerged as precise tools for bone ablation. A challenge is automatic control of laser bone ablation with 4D optical coherence tomography (OCT). OCT as high resolution imaging modality provides ...
Deep-learning-based instrument detection for intra-operative robotic assistance

Badilla-Solórzano, Jorge; Spindeldreier, Svenja; Ihler, Sontje; Gellrich, Nils-Claudius; Spalthoff, Simon (Heidelberg [u.a.] : Springer, 2022)

Purpose: Robotic scrub nurses have the potential to become an attractive solution for the operating room. Surgical instrument detection is a fundamental task for these systems, which is the focus of this work. We address ...
Semantic denoising autoencoders for retinal optical coherence tomography

Laves, Max-Heinrich; Ihler, Sontje; Kahrs, Lüder Alexander; Ortmaier, Tobias (Bellingham, Wash. : SPIE, 2019)

Noise in speckle-prone optical coherence tomography tends to obfuscate important details necessary for medical diagnosis. In this paper, a denoising approach that preserves disease characteristics on retinal optical coherence ...

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