Full publication can be find here.

Significant Works:

A. Hoopes, M. Hoffmann, B. Fischl, J. Guttag, A.V. Dalca
HyperMorph: Amortized Hyperparameter Learning for Image Registration.
Proc. IPMI: Information Processing and Medical Imaging. LNCS 12729, pp 3-17. 2021.

M. Hoffmann, B. Billot, D.N. Greve, J.E. Iglesias, B. Fischl, A.V. Dalca
SynthMorph: learning contrast-invariant registration without acquired images
IEEE Transactions on Medical Imaging (TMI), In Press, 2021. PMID: 34587005

G. Balakrishnan, A. Zhao, M. R. Sabuncu, J. Guttag, and AV Dalca.
VoxelMorph: An Unsupervised Learning Model for Deformable Medical Image Registration.
IEEE TMI: Transactions on Medical Imaging, 38(8), pp. 1788-1800, 2019. PMID: 30716034

A.V. Dalca, G. Balakrishnan, J. Guttag, M.R. Sabuncu.
Unsupervised Learning for Probabilistic Diffeomorphic Registration for Images and Surfaces
MedIA: Medical Image Analysis. (57). pp 226-236, 2019

A.V. Dalca, M. Rakic, J. Guttag, M.R. Sabuncu.
Learning Conditional Deformable Templates with Convolutional Networks
Proc. NeurIPS: Advances in Neural Information Processing Systems. pp 804-816. 2019.

B. Billot, D. Greve, K. Van Leemput, B. Fischl, J. E. Iglesias, A. V. Dalca
A Learning Strategy for Contrast-agnostic MRI Segmentation.
Proc. MIDL: Medical Imaging with Deep Learning. PMLR 121. pp 75-93. 2020.

A.V. Dalca, E. Yu, P. Golland, B. Fischl, M. R. Sabuncu, Juan E. Iglesias
Unsupervised deep learning for Bayesian brain MRI segmentation
Proc. MICCAI: Medical Image Computing and Computer Assisted Intervention. LNCS 11766. pp 356-365. 2019. PMCID: PMC7235150

A Zhao, G Balakrishnan, F Durand, J Guttag, and AV Dalca.
Data Augmentation with Spatial and Appearance Transforms for One-shot Medical Image Segmentation
Proc. CVPR: Conference on Computer Vision and Pattern Recognition. pp. 8543-8553. 2019.