Maximilian Neidhardt
Papers
13
Total Citations
85
H-Index
6
About
Maximilian Neidhardt is a biomedical engineer and researcher whose work sits at the intersection of medical robotics, image-guided interventions, and intelligent sensing systems. His research focuses on three interconnected areas: robotic biopsy systems, needle insertion guidance, and tissue interaction sensing — all aimed at making minimally invasive procedures safer and more precise. Neidhardt has made notable contributions to post-mortem robotic biopsy, developing CT-guided systems that enable safe tissue sampling from infectious corpses without exposing clinicians to disease transmission risks — work that gained particular relevance during the COVID-19 pandemic and has accumulated 16 citations. His pioneering use of Optical Coherence Tomography (OCT) combined with convolutional neural networks for rupture detection during needle insertion demonstrates a sophisticated integration of deep learning with surgical sensing, earning 14 citations. He has also advanced force estimation through optical imaging and proximity-based haptic feedback systems, enhancing real-time feedback in collaborative robotic procedures. Across his body of work, Neidhardt consistently addresses a critical gap in robotic surgery: the absence of meaningful tactile and navigational feedback. With over 75 total citations accumulated within just a few years, his research is rapidly gaining traction, making him an emerging voice in the future of intelligent, robot-assisted medical interventions.
Research Focus
Key Achievements
Top Papers
- 1Robotic Tissue Sampling for Safe Post-Mortem Biopsy in Infectious Corpses16 citations · 2022
- 2Rupture Detection During Needle Insertion Using Complex OCT Data and CNNs14 citations · 2021
- 3Optical force estimation for interactions between tool and soft tissues12 citations · 2023
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- 6Needle tracking in low-resolution ultrasound volumes using deep learning7 citations · 2024
- 7Synthesizing Strategies for Needle Steering in Gelatin Phantoms4 citations · 2020
- 8Needle placement accuracy in CT-guided robotic post mortem biopsy4 citations · 2020
- 9Needle insertion planning for obstacle avoidance in robotic biopsy3 citations · 2021
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