2.2k citations · 5.8k across the 101 of their papers we have counts for
4 papers · 2 filters
Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes
Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
Given sufficient pairs of resting-state and task-evoked fMRI scans from subjects, it is possible to train ML models to predict subject-specific task-evoked activity using resting-s…
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model
Cagla Deniz Bahadir, Benjamin Liechty, David J. Pisapia +1
Mitotic figure detection in histology images is a hard-to-define, yet clinically significant task, where labels are generated with pathologist interpretations and where there is no…
UniverSeg: Universal Medical Image Segmentation
Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma +3
While deep learning models have become the predominant method for medical image segmentation, they are typically not capable of generalizing to unseen segmentation tasks involving…
A Robust and Interpretable Deep Learning Framework for Multi-modal Registration via Keypoints
Alan Q. Wang, Evan M. Yu, Adrian V. Dalca +1
We present KeyMorph, a deep learning-based image registration framework that relies on automatically detecting corresponding keypoints. State-of-the-art deep learning methods for r…