4 citations · 6 across the 5 of their papers we have counts for
5 papers
Evaluating Self-Supervised Learning in Medical Imaging: A Benchmark for Robustness, Generalizability, and Multi-Domain Impact
Valay Bundele, Karahan Sarıtaş, Bora Kargi +4
Self-supervised learning (SSL) has emerged as a promising paradigm in medical imaging, addressing the chronic challenge of limited labeled data in healthcare settings. While SSL ha…
Is deeper always better? Replacing linear mappings with deep learning networks in the Discriminative Lexicon Model
Maria Heitmeier, Valeria Schmidt, Hendrik P. A. Lensch +1
Recently, deep learning models have increasingly been used in cognitive modelling of language. This study asks whether deep learning can help us to better understand the learning p…
Disentangling representations of retinal images with generative models
Sarah Müller, Lisa M. Koch, Hendrik P. A. Lensch +1
Retinal fundus images play a crucial role in the early detection of eye diseases. However, the impact of technical factors on these images can pose challenges for reliable AI appli…
Zero-shot Translation of Attention Patterns in VQA Models to Natural Language
Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch +1
Converting a model's internals to text can yield human-understandable insights about the model. Inspired by the recent success of training-free approaches for image captioning, we…
ViPE: Visualise Pretty-much Everything
Hassan Shahmohammadi, Adhiraj Ghosh, Hendrik P. A. Lensch
Figurative and non-literal expressions are profoundly integrated in human communication. Visualising such expressions allow us to convey our creative thoughts, and evoke nuanced em…