3 papers
cs.CV2024
General Vision Encoder Features as Guidance in Medical Image Registration
Fryderyk Kögl, Anna Reithmeir, Vasiliki Sideri-Lampretsa +5
General vision encoders like DINOv2 and SAM have recently transformed computer vision. Even though they are trained on natural images, such encoder models have excelled in medical…
eess.IV2024
Interactive Generation of Laparoscopic Videos with Diffusion Models
Ivan Iliash, Simeon Allmendinger, Felix Meissen +2
Generative AI, in general, and synthetic visual data generation, in specific, hold much promise for benefiting surgical training by providing photorealism to simulation environment…
physics.med-ph2024
A transportable hyperspectral imaging setup based on fast, high-density spectral scanning for in situ quantitative biochemical mapping of fresh tissue biopsies
Luca Giannoni, Marta Marradi, Kevin Scibilia +11
Histopathological examination of surgical biopsies, such as in glioma and glioblastoma resection, is hindered in current clinical practice by the long times required for the labora…