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20062021
most citedDomain-adversarial neural networks to address the appearance variability of histopathology images

1.1k citations · 1.4k across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.CV2021★ 3 cited

Towards Privacy-preserving Explanations in Medical Image Analysis

H. Montenegro, W. Silva, J. S. Cardoso

The use of Deep Learning in the medical field is hindered by the lack of interpretability. Case-based interpretability strategies can provide intuitive explanations for deep learni…

cs.CV2017★ 10 cited

Deep Local Binary Patterns

Kelwin Fernandes, Jaime S. Cardoso

Local Binary Pattern (LBP) is a traditional descriptor for texture analysis that gained attention in the last decade. Being robust to several properties such as invariance to illum…

cs.CV2017★ 1.1k cited

Domain-adversarial neural networks to address the appearance variability of histopathology images

Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof +2

Preparing and scanning histopathology slides consists of several steps, each with a multitude of parameters. The parameters can vary between pathology labs and within the same lab…

cs.CV2015

Long-Range Trajectories from Global and Local Motion Representations

Eduardo M. Pereira, Jaime S. Cardoso, Ricardo Morla

Motion is a fundamental cue for scene analysis and human activity understan- ding in videos. It can be encoded in trajectories for tracking objects and for action recognition, or i…

cs.CV2014★ 3 cited

Active Mining of Parallel Video Streams

Samaneh Khoshrou, Jaime S. Cardoso, Luis F. Teixeira

The practicality of a video surveillance system is adversely limited by the amount of queries that can be placed on human resources and their vigilance in response. To transcend th…

cs.CV2010★ 1 cited

The Data Replication Method for the Classification with Reject Option

Ricardo Sousa, Jaime S. Cardoso

Classification is one of the most important tasks of machine learning. Although the most well studied model is the two-class problem, in many scenarios there is the opportunity to…