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Adrian V. Dalca

Harvard Medical School, Massachusetts Institute of Technology

Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction


Mar 04, 2021
Aniruddh Raghu, John Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz

* ACM Conference on Health, Learning, and Inference 2021 

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Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks


Jan 06, 2021
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu


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HyperMorph: Amortized Hyperparameter Learning for Image Registration


Jan 04, 2021
Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John Guttag, Adrian V. Dalca

* Keywords: Deformable Image Registration, Hyperparameter Tuning, Deep Learning, and Amortized Learning 

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Predictive Modeling of Anatomy with Genetic and Clinical Data


Oct 09, 2020
Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland

* MICCAI 2015. Keywords: Neuroimaging, Anatomical prediction, Synthesis, Simulation, Genetics, Generative model, Linear mixed effects, Kernel Machines 

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Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data


Jul 29, 2020
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu

* to be published in MLMIR 2020 

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Joint Frequency- and Image-Space Learning for Fourier Imaging


Jul 02, 2020
Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland

* 14 pages, 15 figures, image reconstruction, motion correction, denoising, magnetic resonance imaging, deep learning 

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Anatomical Predictions using Subject-Specific Medical Data


May 29, 2020
Marianne Rakic, John Guttag, Adrian V. Dalca

* Accepted as a short paper to MIDL2020. Keywords: Medical Imaging, Multi-Modal, Prediction 

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An Auto-Encoder Strategy for Adaptive Image Segmentation


Apr 29, 2020
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu

* MIDL 2020 

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Learning Multi-Modal Image Registration without Real Data


Apr 21, 2020
Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca

* 12 pages, 8 figures, deformable image registration, modality independence, training without data 

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Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast


Apr 21, 2020
Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias

* 10 pages, 7 figures 

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Learning a Probabilistic Strategy for Computational Imaging Sensor Selection


Mar 23, 2020
He Sun, Adrian V. Dalca, Katherine L. Bouman

* This paper has been accepted to the IEEE International Conference on Computational Photography (ICCP) 2020. Keywords: Computational Imaging, Optimized Sensing, Ising Model, Deep Learning, VLBI, Interferometry 

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A Learning Strategy for Contrast-agnostic MRI Segmentation


Mar 04, 2020
Benjamin Billot, Douglas Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca

* 18 pages, 5 figures 

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ML4H Abstract Track 2019


Feb 05, 2020
Matthew B. A. McDermott, Emily Alsentzer, Sam Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca


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Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings


Jan 04, 2020
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca


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Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions


Sep 01, 2019
Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Fredo Durand, William T. Freeman

* ICCV 2019 

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Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation


Aug 15, 2019
Hyeon Woo Lee, Mert R. Sabuncu, Adrian V. Dalca

* "keywords: medical image segmentation, multi-atlas segmentation, label fusion." 

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Learning Conditional Deformable Templates with Convolutional Networks


Aug 07, 2019
Adrian V. Dalca, Marianne Rakic, John Guttag, Mert R. Sabuncu

* Keywords: deformable templates, conditional atlases, diffeomorphic image registration, probabilistic models, neuroimaging 

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Adaptive Compressed Sensing MRI with Unsupervised Learning


Jul 26, 2019
Cagla D. Bahadir, Adrian V. Dalca, Mert R. Sabuncu

* 10 pages, 5 figures 

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Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data


Jul 01, 2019
Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro Niessen, Meike Vernooij, Natalia S. Rost, Markus D. Schirmer


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Confidence Calibration for Convolutional Neural Networks Using Structured Dropout


Jun 23, 2019
Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu


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Unsupervised deep learning for Bayesian brain MRI segmentation


Apr 25, 2019
Adrian V. Dalca, Evan Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias


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Data augmentation using learned transformations for one-shot medical image segmentation


Apr 06, 2019
Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca

* 9 pages, CVPR 2019 

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Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces


Mar 08, 2019
Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu

* Under Review at MedIA: Medical Image Analysis (MICCAI2018 Special Issue). This manuscript expands on the MICCAI 2018 paper (arXiv:1805.04605) by introducing an extension to anatomical surface registration, new experiments, and an analysis of diffeomorphic implementations. Code available at http://voxelmorph.csail.mit.edu 

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Unsupervised Data Imputation via Variational Inference of Deep Subspaces


Mar 08, 2019
Adrian V. Dalca, John Guttag, Mert R. Sabuncu


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Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation


Mar 07, 2019
Adrian V. Dalca, John Guttag, Mert R. Sabuncu

* Presented at CVPR 2018. IEEE CVPR proceedings pp. 9290-9299 

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Learning-based Optimization of the Under-sampling Pattern in MRI


Jan 07, 2019
Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu

* 12 pages, 5 figures, Under review 

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Fast Learning-based Registration of Sparse Clinical Images


Dec 17, 2018
Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John Guttag, Adrian V. Dalca

* Paper presented at machine learning for healthcare (NeurIPS ML4H) 2018 

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Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration


Sep 14, 2018
Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu

* LNCS 11070, pp 729-738, Springer. 2018 
* MICCAI 2018 (Oral Presentation). Proceedings: LNCS 11070, pp 729-738 

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VoxelMorph: A Learning Framework for Deformable Medical Image Registration


Sep 14, 2018
Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John Guttag, Adrian V. Dalca

* Submitted to IEEE TMI. This manuscript expands on the CVPR 2018 paper (arXiv:1802.02604) by presenting an auxiliary learning model, an amortized optimization analysis, and more extensive model evaluations 

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Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease


Sep 11, 2018
Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi H. Moghari, Polina Golland

* Presented at the Deep Learning in Medical Image Analysis Workshop, MICCAI 2018 

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