5 citations · 9 across the 5 of their papers we have counts for
6 papers
VISTA: An Attention-Based Multi-Agent Reinforcement Learning Architecture for Space Situational Awareness Sensor Tasking
Miguel Leiva-Vélez, Adalberto Claudio Quiros, Nicolas Gaston Rozado +2
The rapid growth of resident space objects is increasing the complexity of space situational awareness sensor tasking, challenging classical optimization methods as they allocate f…
MUL-T: Decoding Spatial Cellular Architecture in Multiplexed Tissue Images
Farzaneh Seyedshahi, Kai Rakovic, Adalberto Claudio Quiros +2
Understanding tissue organisation in multiplexed imaging requires modelling both cellular phenotypes and their spatial context. Existing approaches typically rely on handcrafted fe…
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton +13
Definitive cancer diagnosis and management depend upon the extraction of information from microscopy images by pathologists. These images contain complex information requiring time…
Adversarial learning of cancer tissue representations
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton +4
Deep learning based analysis of histopathology images shows promise in advancing the understanding of tumor progression, tumor micro-environment, and their underpinning biological…
Learning a low dimensional manifold of real cancer tissue with PathologyGAN
Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan
Application of deep learning in digital pathology shows promise on improving disease diagnosis and understanding. We present a deep generative model that learns to simulate high-fi…
PathologyGAN: Learning deep representations of cancer tissue
Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan
Histopathological images of tumors contain abundant information about how tumors grow and how they interact with their micro-environment. Better understanding of tissue phenotypes…