1 citations · 1 across the 7 of their papers we have counts for
7 papers
GrapHist: Graph Self-Supervised Learning for Histopathology
Sevda Öğüt, Cédric Vincent-Cuaz, Natalia Dubljevic +4
Self-supervised vision models have achieved notable success in digital pathology. However, their domain-agnostic transformer architectures are not originally designed to account fo…
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
Boqi Chen, Cédric Vincent-Cuaz, Lydia A. Schoenpflug +12
Vision foundation models (FMs) are accelerating the development of digital pathology algorithms and transforming biomedical research. These models learn, in a self-supervised manne…
Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics
Vaishnavi Subramanian, Tanveer Syeda-Mahmood, Minh N. Do
The availability of multi-modality datasets provides a unique opportunity to characterize the same object of interest using multiple viewpoints more comprehensively. In this work,…
Multimodal fusion using sparse CCA for breast cancer survival prediction
Vaishnavi Subramanian, Tanveer Syeda-Mahmood, Minh N. Do
Effective understanding of a disease such as cancer requires fusing multiple sources of information captured across physical scales by multimodal data. In this work, we propose a n…
Multimodal fusion of imaging and genomics for lung cancer recurrence prediction
Vaishnavi Subramanian, Minh N. Do, Tanveer Syeda-Mahmood
Lung cancer has a high rate of recurrence in early-stage patients. Predicting the post-surgical recurrence in lung cancer patients has traditionally been approached using single mo…
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays
Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu +3
Central venous catheters (CVCs) are commonly used in critical care settings for monitoring body functions and administering medications. They are often described in radiology repor…
Correlating Cellular Features with Gene Expression using CCA
Vaishnavi Subramanian, Benjamin Chidester, Jian Ma +1
To understand the biology of cancer, joint analysis of multiple data modalities, including imaging and genomics, is crucial. The involved nature of gene-microenvironment interactio…