8 citations · 11 across the 8 of their papers we have counts for
10 papers
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning
Hui Lin, Florian Schiffers, Santiago López-Tapia +3
Unsupervised domain adaptation (UDA) is essential for medical image segmentation, especially in cross-modality data scenarios. UDA aims to transfer knowledge from a labeled source…
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space
Amil Dravid, Florian Schiffers, Boqing Gong +1
Despite the surge of deep learning in the past decade, some users are skeptical to deploy these models in practice due to their black-box nature. Specifically, in the medical space…
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes
Amil Dravid, Florian Schiffers, Yunan Wu +2
Generative Adversarial Networks (GANs) have shown promise in augmenting datasets and boosting convolutional neural networks' (CNN) performance on image classification tasks. But th…
Anatomy of a superorganism -- structure and growth dynamics of army ant bivouacs
Thomas Bochynek, Florian Schiffers, André Aichert +3
Beyond unicellular and multicellular organisms, there is a third type of structural complexity in living animals: that of the mechanical self-assembly of groups of distinct multice…
Improving Acquisition Speed of X-Ray Ptychography through Spatial Undersampling and Regularization
Prasan Shedligeri, Florian Schiffers, Semih Barutcu +3
X-ray ptychography is one of the versatile techniques for nanometer resolution imaging. The magnitude of the diffraction patterns is recorded on a detector and the phase of the dif…
SkinScan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation
Merlin A. Nau, Florian Schiffers, Yunhao Li +7
The utilization of computational photography becomes increasingly essential in the medical field. Today, imaging techniques for dermatology range from two-dimensional (2D) color im…