97 citations · 108 across the 5 of their papers we have counts for
8 papers
HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stain Invariant Segmentation in Renal Histopathology
Jelica Vasiljević, Friedrich Feuerhake, Cédric Wemmert +1
Virtual stain transfer is a promising area of research in Computational Pathology, which has a great potential to alleviate important limitations when applying deeplearningbased so…
Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner
Zeeshan Nisar, Jelica Vasiljević, Pierre Gançarski +1
Domain shift in digital histopathology can occur when different stains or scanners are used, during stain translation, etc. A deep neural network trained on source data may not gen…
Self adversarial attack as an augmentation method for immunohistochemical stainings
Jelica Vasiljević, Friedrich Feuerhake, Cédric Wemmert +1
It has been shown that unpaired image-to-image translation methods constrained by cycle-consistency hide the information necessary for accurate input reconstruction as imperceptibl…
Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks
Jelica Vasiljević, Friedrich Feuerhake, Cédric Wemmert +1
The application of supervised deep learning methods in digital pathology is limited due to their sensitivity to domain shift. Digital Pathology is an area prone to high variability…
Shadow-Catcher: Looking Into Shadows to Detect Ghost Objects in Autonomous Vehicle 3D Sensing
Zhongyuan Hau, Soteris Demetriou, Luis Muñoz-González +1
LiDAR-driven 3D sensing allows new generations of vehicles to achieve advanced levels of situation awareness. However, recent works have demonstrated that physical adversaries can…
Strategies for Training Stain Invariant CNNs
Thomas Lampert, Odyssée Merveille, Jessica Schmitz +3
An important part of Digital Pathology is the analysis of multiple digitised whole slide images from differently stained tissue sections. It is common practice to mount consecutive…
Retrieving and Ranking Similar Questions from Question-Answer Archives Using Topic Modelling and Topic Distribution Regression
Pedro Chahuara, Thomas Lampert, Pierre Gancarski
Presented herein is a novel model for similar question ranking within collaborative question answer platforms. The presented approach integrates a regression stage to relate topics…
An Empirical Study into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation
Thomas A. Lampert, André Stumpf, Pierre Gançarski
Although agreement between annotators has been studied in the past from a statistical viewpoint, little work has attempted to quantify the extent to which this phenomenon affects t…