2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Marc Fischer, Alexander Bartler, Bin Yang
Neural networks pre-trained on a self-supervision scheme have become the standard when operating in data rich environments with scarce annotations. As such, fine-tuning a model to…
cs.CV2020★ 2 cited
Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies
Thomas Küstner, Tobias Hepp, Marc Fischer +9
Purpose: To enable fast and reliable assessment of subcutaneous and visceral adipose tissue compartments derived from whole-body MRI. Methods: Quantification and localization of di…
cs.CV2018
MedGAN: Medical Image Translation using GANs
Karim Armanious, Chenming Jiang, Marc Fischer +4
Image-to-image translation is considered a new frontier in the field of medical image analysis, with numerous potential applications. However, a large portion of recent approaches…