activity
20182026
most citedHistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stain Invariant Segmentation in Renal Histopathology

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

collaborators

6 papers

cs.CV2026

Attention-guided classification and tumor localization of combined hepatocellular-cholangiocarcinoma

Xiaowen Liang, Hélène Cazier, Aurélie Beaufrère +3

Combined hepatocellular-cholangiocarcinomas (cHCC-CCA) are a type of cancer that share components of two other primary liver cancers: hepatocellular carcinoma (HCC) and cholangioca…

cs.CV2022★ 1 cited

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…

cs.CV2021

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…

eess.IV2020

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…

cs.CR2020★ 1 cited

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…

cs.CV2018

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…