16 citations · 39 across the 12 of their papers we have counts for
4 papers · 1 filter
A Modified da Vinci Surgical Instrument for OCE based Elasticity Estimation with Deep Learning
Maximilian Neidhardt, Robin Mieling, Sarah Latus +3
Robot-assisted surgery has advantages compared to conventional laparoscopic procedures, e.g., precise movement of the surgical instruments, improved dexterity, and high-resolution…
Ultrasound Shear Wave Elasticity Imaging with Spatio-Temporal Deep Learning
Maximilian Neidhardt, Marcel Bengs, Sarah Latus +4
Ultrasound shear wave elasticity imaging is a valuable tool for quantifying the elastic properties of tissue. Typically, the shear wave velocity is derived and mapped to an elastic…
Deep Learning for High Speed Optical Coherence Elastography
Maximilian Neidhardt, Marcel Bengs, Sarah Latus +3
Mechanical properties of tissue provide valuable information for identifying lesions. One approach to obtain quantitative estimates of elastic properties is shear wave elastography…
High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images
Matthias Schlüter, Lukas Glandorf, Johanna Sprenger +4
Modern optical coherence tomography (OCT) devices provide volumetric images with micrometer-scale spatial resolution and a temporal resolution beyond video rate. In this work, we a…