67 citations · 110 across the 14 of their papers we have counts for
19 papers
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks
Georg Wölflein, In Hwa Um, David J Harrison +1
The presence and density of specific types of immune cells are important to understand a patient's immune response to cancer. However, immunofluorescence staining required to ident…
COVID-19 and Science Communication: The Recording and Reporting of Disease Mortality
Ognjen Arandjelovic
The ongoing COVID-19 pandemic has brought science to the fore of the public discourse and considering the complexity of the issues involved, with it also the challenge of effective…
Hoechst Is All You Need: Lymphocyte Classification with Deep Learning
Jessica Cooper, In Hwa Um, Ognjen Arandjelović +1
Multiplex immunofluorescence and immunohistochemistry benefit patients by allowing cancer pathologists to identify several proteins expressed on the surface of cells, enabling cell…
Determining Chess Game State From an Image
Georg Wölflein, Ognjen Arandjelović
Identifying the configuration of chess pieces from an image of a chessboard is a problem in computer vision that has not yet been solved accurately. However, it is important for he…
A New Look at Ghost Normalization
Neofytos Dimitriou, Ognjen Arandjelovic
Batch normalization (BatchNorm) is an effective yet poorly understood technique for neural network optimization. It is often assumed that the degradation in BatchNorm performance t…
Understanding Ancient Coin Images
Jessica Cooper, Ognjen Arandjelovic
In recent years, a range of problems within the broad umbrella of automatic, computer vision based analysis of ancient coins has been attracting an increasing amount of attention.…