9 citations · 9 across the 4 of their papers we have counts for
5 papers
When Layer Selection Misleads Speech Depression Detection
Paula A. Perez-Toro, David Gimeno-Gómez, Daniel Rückert +1
Pretrained speech representations are increasingly used for depression detection, but selecting the best encoder layer on the same data used for evaluation biases reported performa…
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…
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…
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…
Deep Conditional Shape Models for 3D cardiac image segmentation
Athira J Jacob, Puneet Sharma, Daniel Ruckert
Delineation of anatomical structures is often the first step of many medical image analysis workflows. While convolutional neural networks achieve high performance, these do not in…