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20182022
most citedRobotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses

16 citations · 35 across the 8 of their papers we have counts for

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cs.CV20201 cited

Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer

Sontje Ihler, Max-Heinrich Laves, Tobias Ortmaier

Fast motion feedback is crucial in computer-aided surgery (CAS) on moving tissue. Image-assistance in safety-critical vision applications requires a dense tracking of tissue motion…

cs.CV20191 cited

Retinal OCT disease classification with variational autoencoder regularization

Max-Heinrich Laves, Sontje Ihler, Lüder A. Kahrs +1

According to the World Health Organization, 285 million people worldwide live with visual impairment. The most commonly used imaging technique for diagnosis in ophthalmology is opt…

cs.CV2019

Semantic denoising autoencoders for retinal optical coherence tomography

Max-Heinrich Laves, Sontje Ihler, Lüder Alexander Kahrs +1

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…

cs.CV2019

Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery

Max-Heinrich Laves, Sarah Latus, Jan Bergmeier +3

Purpose: The facial recess is a delicate structure that must be protected in minimally invasive cochlear implant surgery. Current research estimates the drill trajectory by using e…

cs.CV2018

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

Max-Heinrich Laves, Lüder A. Kahrs, Tobias Ortmaier

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…

cs.CV2018

A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation

Max-Heinrich Laves, Jens Bicker, Lüder A. Kahrs +1

Purpose Automated segmentation of anatomical structures in medical image analysis is a prerequisite for autonomous diagnosis as well as various computer and robot aided interventio…