55 citations · 62 across the 4 of their papers we have counts for
5 papers
Quilt-1M: One Million Image-Text Pairs for Histopathology
Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo +5
Recent accelerations in multi-modal applications have been made possible with the plethora of image and text data available online. However, the scarcity of analogous data in the m…
Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations
Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Linda Shapiro
Self-supervised learning (SSL) enables learning useful inductive biases through utilizing pretext tasks that require no labels. The unlabeled nature of SSL makes it especially impo…
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease
Mehmet Saygın Seyfioğlu, Zixuan Liu, Pranav Kamath +4
We propose a novel framework for Alzheimer's disease (AD) detection using brain MRIs. The framework starts with a data augmentation method called Brain-Aware Replacements (BAR), wh…
Learning Oculomotor Behaviors from Scanpath
Beibin Li, Nicholas Nuechterlein, Erin Barney +9
Identifying oculomotor behaviors relevant for eye-tracking applications is a critical but often challenging task. Aiming to automatically learn and extract knowledge from existing…
Sparsely Grouped Input Variables for Neural Networks
Beibin Li, Nicholas Nuechterlein, Erin Barney +4
In genomic analysis, biomarker discovery, image recognition, and other systems involving machine learning, input variables can often be organized into different groups by their sou…