Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Visualized Experiments : Jove|June 30, 2025
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial IntelligenceLea Lough, Mingyu Sheng, Takeshi Namekawa, et al.
Frontiers in Medicine|October 22, 2019
Translational AI and Deep Learning in Diagnostic PathologyAhmed Serag, Adrian Ion-Margineanu, Hammad Qureshi, et al.
Biomed Research International|September 29, 2015
Tumour Relapse Prediction Using Multiparametric MR Data Recorded during Follow-Up of GBM PatientsAdrian Ion-Margineanu, Sofie Van Cauter, Diana M Sima, et al.
Urologic Oncology|August 12, 2024
Intraoperative margin assessment with near real time pathology during partial gland ablation of prostate cancer: A feasibility studyMiles P Mannas, Fang-Ming Deng, Adrian Ion-Margineanu, et al.
Acta Neuropathologica Communications|August 6, 2022
Novel rapid intraoperative qualitative tumor detection by a residual convolutional neural network using label-free stimulated Raman scattering microscopyDavid Reinecke, Niklas von Spreckelsen, Christian Mawrin, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|July 8, 2024
Streamlined Intraoperative Brain Tumor Classification and Molecular Subtyping in Stereotactic Biopsies Using Stimulated Raman Histology and Deep LearningDavid Reinecke, Daniel Ruess, Anna-Katharina Meissner, et al.
The Journal of Urology|December 17, 2024
Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical MarginsMiles P Mannas, Fang-Ming Deng, Adrian Ion-Margineanu, et al.
Frontiers in Oncology|May 26, 2023
Intraoperative microscopic autofluorescence detection and characterization in brain tumors using stimulated Raman histology and two-photon fluorescenceGina Fürtjes, David Reinecke, Niklas von Spreckelsen, et al.
NPJ Digital Medicine|March 18, 2026
AI-driven label-free Raman spectromics for intraoperative spinal tumor assessmentDavid Reinecke, Nina Müller, Anna-Katharina Meissner, et al.
Pageof 1