16 citations · 28 across the 4 of their papers we have counts for
7 papers
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…
Modeling R Needle Steering in Uppaal
Sascha Lehmann, Antje Rogalla, Maximilian Neidhardt +3
Medical cyber-physical systems are safety-critical, and as such, require ongoing verification of their correct behavior, as system failure during run time may cause severe (or even…
Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses
Maximilian Neidhardt, Stefan Gerlach, Robin Mieling +12
In pathology and legal medicine, the histopathological and microbiological analysis of tissue samples from infected deceased is a valuable information for developing treatment stra…
Online Strategy Synthesis for Safe and Optimized Control of Steerable Needles
Sascha Lehmann, Antje Rogalla, Maximilian Neidhardt +2
Autonomous systems are often applied in uncertain environments, which require prospective action planning and retrospective data evaluation for future planning to ensure safe opera…
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…
Synthesizing Strategies for Needle Steering in Gelatin Phantoms
Antje Rogalla, Sascha Lehmann, Maximilian Neidhardt +4
In medicine, needles are frequently used to deliver treatments to subsurface targets or to take tissue samples from the inside of an organ. Current clinical practice is to insert n…