Anna Yeaton

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 5

Top Topics

Multiple Representations

Benchmark Datasets

Inductive Inference

Supervised Learning

Top Venues

Publications

Anna Yeaton, Rahul G. Krishnan, Rebecca J. Mieloszyk, David Alvarez-Melis, Grace Huynh
Hierarchical Optimal Transport for Comparing Histopathology Datasets. CoRR (2022)
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, Xinyu Yang, Luis Chiriboga, Afreen Karimkhan, Navneet Narula, Harvey I. Pass, Andre L. Moreira, John Le Quesne, Aristotelis Tsirigos, Ke Yuan
Self-supervised learning unveils morphological clusters behind lung cancer types and prognosis. CoRR (2022)
Anna Yeaton, Rahul G. Krishnan, Rebecca J. Mieloszyk, David Alvarez-Melis, Grace Huynh
Hierarchical Optimal Transport for Comparing Histopathology Datasets. MIDL (2022)
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, Wisuwat Sunhem, Roderick Murray-Smith, Aristotelis Tsirigos, Ke Yuan
Adversarial Learning of Cancer Tissue Representations. MICCAI (8) (2021)
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, Wisuwat Sunhem, Roderick Murray-Smith, Aristotelis Tsirigos, Ke Yuan
Adversarial learning of cancer tissue representations. CoRR (2021)