most citedFrom Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology

87 citations · 89 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025★ 2 cited

DiffScale: Continuous Downscaling and Bias Correction of Subseasonal Wind Speed Forecasts using Diffusion Models

Maximilian Springenberg, Noelia Otero, Yuxin Xue +1

Renewable resources are strongly dependent on local and large-scale weather situations. Skillful subseasonal to seasonal (S2S) forecasts -- beyond two weeks and up to two months --…

eess.IV2022★ 87 cited

From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology

Maximilian Springenberg, Annika Frommholz, Markus Wenzel +3

While machine learning is currently transforming the field of histopathology, the domain lacks a comprehensive evaluation of state-of-the-art models based on essential but compleme…