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ORCIDAdrian V. Dalca
- > Home > Persons > Adrian V. Dalca
Publications
- 2024
[c56]Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
Magnitude Invariant Parametrizations Improve Hypernetwork Learning. ICLR 2024- [i71]Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth Cimini, John V. Guttag, Adrian V. Dalca:
Tyche: Stochastic In-Context Learning for Medical Image Segmentation. CoRR abs/2401.13650 (2024) - 2023
- [c52]Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
UniverSeg: Universal Medical Image Segmentation. ICCV 2023: 21381-21394 - [c45]Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
Scale-Space Hypernetworks for Efficient Biomedical Image Analysis. NeurIPS 2023 - [i65]Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
Amortized Learning of Dynamic Feature Scaling for Image Segmentation. CoRR abs/2304.05448 (2023) - [i64]Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
UniverSeg: Universal Medical Image Segmentation. CoRR abs/2304.06131 (2023) - [i63]Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
Non-Proportional Parametrizations for Stable Hypernetwork Learning. CoRR abs/2304.07645 (2023) - [i56]Emily Mu, Kathleen M. Lewis, Adrian V. Dalca, John V. Guttag:
Generating Image-Specific Text Improves Fine-grained Image Classification. CoRR abs/2307.11315 (2023) - [i53]Hallee E. Wong, Marianne Rakic, John V. Guttag, Adrian V. Dalca:
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image. CoRR abs/2312.07381 (2023) - 2022
- [i48]Andrew Hoopes, Malte Hoffmann, Douglas N. Greve, Bruce Fischl, John V. Guttag, Adrian V. Dalca:
Learning the Effect of Registration Hyperparameters with HyperMorph. CoRR abs/2203.16680 (2022) - 2021
- [c40]Aniruddh Raghu, John V. Guttag
, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz:
Learning to predict with supporting evidence: applications to clinical risk prediction. CHIL 2021: 95-104 - [c38]Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca:
HyperMorph: Amortized Hyperparameter Learning for Image Registration. IPMI 2021: 3-17 - [i46]Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca:
HyperMorph: Amortized Hyperparameter Learning for Image Registration. CoRR abs/2101.01035 (2021) - [i44]Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz:
Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction. CoRR abs/2103.02768 (2021) - 2020
- [c32]Kathleen M. Lewis, Natalia S. Rost, John V. Guttag, Adrian V. Dalca:
Fast learning-based registration of sparse 3D clinical images. CHIL 2020: 90-98 - [c31]Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CVPR 2020: 8432-8442 - [i35]Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CoRR abs/2001.01026 (2020) - [i27]Marianne Rakic, John V. Guttag, Adrian V. Dalca:
Anatomical Predictions using Subject-Specific Medical Data. CoRR abs/2006.00090 (2020) - 2019
- [j7]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. Medical Image Anal. 57: 226-236 (2019) - [j5]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
VoxelMorph: A Learning Framework for Deformable Medical Image Registration. IEEE Trans. Medical Imaging 38(8): 1788-1800 (2019) - [c22]Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. CVPR 2019: 8543-8553 - [c21]Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. ICCV 2019: 171-180 - [c17]Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu:
Learning Conditional Deformable Templates with Convolutional Networks. NeurIPS 2019: 804-816 - [i21]Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Data augmentation using learned transforms for one-shot medical image segmentation. CoRR abs/1902.09383 (2019) - [i20]Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CoRR abs/1903.03148 (2019) - [i19]Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Unsupervised Data Imputation via Variational Inference of Deep Subspaces. CoRR abs/1903.03503 (2019) - [i18]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces. CoRR abs/1903.03545 (2019) - [i13]Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu:
Learning Conditional Deformable Templates with Convolutional Networks. CoRR abs/1908.02738 (2019) - [i11]Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. CoRR abs/1909.00475 (2019) - 2018
- [c16]Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag:
Synthesizing Images of Humans in Unseen Poses. CVPR 2018: 8340-8348 - [c15]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
An Unsupervised Learning Model for Deformable Medical Image Registration. CVPR 2018: 9252-9260 - [c14]Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CVPR 2018: 9290-9299 - [c12]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. MICCAI (1) 2018: 729-738 - [i10]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
An Unsupervised Learning Model for Deformable Medical Image Registration. CoRR abs/1802.02604 (2018) - [i9]Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag:
Synthesizing Images of Humans in Unseen Poses. CoRR abs/1804.07739 (2018) - [i8]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. CoRR abs/1805.04605 (2018) - [i5]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
VoxelMorph: A Learning Framework for Deformable Medical Image Registration. CoRR abs/1809.05231 (2018) - [i2]Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca:
Fast Learning-based Registration of Sparse Clinical Images. CoRR abs/1812.06932 (2018)
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last updated on 2024-09-21 23:41 CEST by the dblp team
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