1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis
Zak Buzzard, Konstantin Hemker, Nikola Simidjievski +1
Computational analysis of whole slide images (WSIs) has seen significant research progress in recent years, with applications ranging across important diagnostic and prognostic tas…
cs.LG2023★ 1 cited
CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs
Konstantin Hemker, Zohreh Shams, Mateja Jamnik
Rule-based surrogate models are an effective and interpretable way to approximate a Deep Neural Network's (DNN) decision boundaries, allowing humans to easily understand deep learn…