Evan M. Yu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Top Venues

Medical Image Anal.

Publications

Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
A robust and interpretable deep learning framework for multi-modal registration via keypoints. CoRR (2023)
Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
A robust and interpretable deep learning framework for multi-modal registration via keypoints. Medical Image Anal. 90 (2023)
Evan M. Yu, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection. MIDL (2022)
Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
Learning Conditional Deformable Shape Templates for Brain Anatomy. MLMI@MICCAI (2020)
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu
An Auto-Encoder Strategy for Adaptive Image Segmentation. CoRR (2020)
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu
An Auto-Encoder Strategy for Adaptive Image Segmentation. MIDL (2020)
Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
Unsupervised deep learning for Bayesian brain MRI segmentation. CoRR (2019)
Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. MICCAI (3) (2019)
Evan M. Yu, Mert R. Sabuncu
A Convolutional Autoencoder Approach To Learn Volumetric Shape Representations For Brain Structures. ISBI (2019)
Evan M. Yu, Mert R. Sabuncu
A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain Structures. CoRR (2018)