P Windisch, C Koechli, S Rogers, C Schröder… - Cancers, 2022 - mdpi.com
Simple Summary Machine learning in radiology of the central nervous system has seen many interesting publications in the past few years. Since the focus has largely been on …
R Raghunathan, M Vasquez, K Zhang, H Zhao… - Trends in Cancer, 2024 - cell.com
Advances in label-free optical imaging offer a promising avenue for brain cancer assessment, providing high-resolution, real-time insights without the need for radiation or …
J Möller, A Bartsch, M Lenz, I Tischoff, R Krug… - International Journal of …, 2021 - Springer
Purpose A precise resection of the entire tumor tissue during surgery for brain metastases is essential to reduce local recurrence. Conventional intraoperative imaging techniques all …
RJ Hemalatha, V Vijaybaskar… - Proceedings of the …, 2019 - journals.sagepub.com
The pace of population aging is growing faster worldwide. The quality of life of the aging population is mostly affected by rheumatic diseases. With the increasing rate of rheumatoid …
Higher precision surgical devices are needed for tumor resections near critical brain structures. The goal of this study is to demonstrate feasibility of a system capable of precise …
P Strenge, B Lange, W Draxinger, C Grill… - Frontiers in …, 2022 - frontiersin.org
The discrimination of tumor-infiltrated tissue from non-tumorous brain tissue during neurosurgical tumor excision is a major challenge in neurosurgery. It is critical to achieve full …
Optical coherence tomography (OCT) of the ex vivo rat and human brain tissue samples is performed. The set of samples comprises intact white and gray matter, as well as human …
Fluorescence-guided surgery is a state-of-the-art approach for intraoperative imaging during neurosurgical removal of tumor tissue. While the visualization of high-grade gliomas is …