3 citations · 4 across the 2 of their papers we have counts for
4 papers
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…
An Auto-Encoder Strategy for Adaptive Image Segmentation
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca +1
Deep neural networks are powerful tools for biomedical image segmentation. These models are often trained with heavy supervision, relying on pairs of images and corresponding voxel…
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation
Adrian V. Dalca, Evan Yu, Polina Golland +3
Probabilistic atlas priors have been commonly used to derive adaptive and robust brain MRI segmentation algorithms. Widely-used neuroimage analysis pipelines rely heavily on these…
A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain Structures
Evan M. Yu, Mert R. Sabuncu
We propose a novel machine learning strategy for studying neuroanatomical shape variation. Our model works with volumetric binary segmentation images, and requires no pre-processin…