Dalca, A.
* 2019: Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
Dalca, A.V.
* 2016: Probabilistic Modeling of Imaging, Genetics and Diagnosis
* 2018: Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
* 2018: Synthesizing Images of Humans in Unseen Poses
* 2018: Unsupervised Learning Model for Deformable Medical Image Registration, An
* 2019: Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation
* 2019: Medical Image Imputation From Image Collections
* 2019: VoxelMorph: A Learning Framework for Deformable Medical Image Registration
* 2020: Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
* 2021: Generative Adversarial Registration for Improved Conditional Deformable Templates
* 2022: Hyper-Convolution Networks for Biomedical Image Segmentation
* 2022: SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images
* 2023: Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning
* 2023: Neuralizer: General Neuroimage Analysis without Re-Training
* 2023: UniverSeg: Universal Medical Image Segmentation
* 2024: AnyStar: Domain randomized universal star-convex 3D instance segmentation
Includes: Dalca, A.V. Dalca, A.V.[Adrian V.]
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