19 citations · 24 across the 5 of their papers we have counts for
5 papers
Deep Multiple Instance Learning with Distance-Aware Self-Attention
Georg Wölflein, Lucie Charlotte Magister, Pietro Liò +2
Traditional supervised learning tasks require a label for every instance in the training set, but in many real-world applications, labels are only available for collections (bags)…
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…
MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss
Haseeb Nazki, Ognjen Arandjelović, InHwa Um +1
Histopathology relies on the analysis of microscopic tissue images to diagnose disease. A crucial part of tissue preparation is staining whereby a dye is used to make the salient t…
Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping
Jessica Cooper, Ognjen Arandjelović, David J Harrison
Understanding the predictions made by Artificial Intelligence (AI) systems is becoming more and more important as deep learning models are used for increasingly complex and high-st…
Speech Recognition: Keyword Spotting Through Image Recognition
Sanjay Krishna Gouda, Salil Kanetkar, David Harrison +1
The problem of identifying voice commands has always been a challenge due to the presence of noise and variability in speed, pitch, etc. We will compare the efficacies of several n…