Adrian Dalca

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Mert R. SabuncuCornell University, Cornell Tech, Weill Cornell MedicineVerified email at cornell.edu
John GuttagVerified email at mit.edu
Polina GollandMassachusetts Institute of TechnologyVerified email at mit.edu
Bruce Fischl or B FischlMass General Hospital/Harvard Medical SchoolVerified email at nmr.mgh.harvard.edu
Juan Eugenio IglesiasMassachusetts General Hospital & Harvard Medical School / MIT / UCLVerified email at mgh.harvard.edu
Guha BalakrishnanAssistant Professor, Rice UniversityVerified email at rice.edu
Amy ZhaoResearch Scientist, Facebook Reality LabsVerified email at mit.edu
Natalia RostProfessor of Neurology, Harvard Medical SchoolVerified email at partners.org
Benjamin BillotPostdoctoral researcher, Massachusetts Institute of TechnologyVerified email at mit.edu
Michael BrudnoProfessor of Computer Science, University of Toronto; Chief Data Scientist, UHNVerified email at cs.toronto.edu
Fredo DurandProfessor of Computer Science, MITVerified email at mit.edu
Katherine L. (Katie) BoumanAssistant Professor, Computing & Mathematical Sciences (CMS) and Electrical Engineering (EE)Verified email at caltech.edu
Andrew HoopesMITVerified email at mgh.harvard.edu
Markus D. SchirmerInstructor in Investigation, MGH, Harvard Medical School, USAVerified email at markus-schirmer.com
William T. FreemanProfessor of Computer Science, MITVerified email at mit.edu
Danielle F. PaceResearch Fellow, Martinos Center, MGHVerified email at mgh.harvard.edu
Kayhan BatmanghelichAssistant Professor, Boston UniversityVerified email at bu.edu
Francesco Paolo CasaleHelmholtz Pioneer Campus, Institute of AI for Health, Helmholtz Zentrum MünchenVerified email at helmholtz-muenchen.de
Jennifer ListgartenProfessor, UC Berkeley EECS and Center for Computational BiologyVerified email at berkeley.edu
Gerald QuonAssociate Professor, University of California, DavisVerified email at ucdavis.edu

Adrian Dalca

Harvard Medical School & Massachusetts Institute of Technology

Verified email at mit.edu - Homepage

Machine Learning Medical Image Analysis Computer Science


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VoxelMorph: a learning framework for deformable medical image registration G Balakrishnan, A Zhao, MR Sabuncu, J Guttag, AV Dalca IEEE transactions on medical imaging 38 (8), 1788-1800, 2019	1276	2019
SHRiMP: accurate mapping of short color-space reads SM Rumble, P Lacroute, AV Dalca, M Fiume, A Sidow, M Brudno PLoS computational biology 5 (5), e1000386, 2009	753	2009
An Unsupervised Learning Model for Deformable Medical Image Registration G Balakrishnan, A Zhao, MR Sabuncu, J Guttag, AV Dalca Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	656	2018
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation A Zhao, G Balakrishnan, F Durand, JV Guttag, AV Dalca Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	440	2019
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration AV Dalca, G Balakrishnan, J Guttag, MR Sabuncu International Conference on Medical Image Computing and Computer-Assisted …, 2018	378	2018
Synthesizing Images of Humans in Unseen Poses G Balakrishnan, A Zhao, AV Dalca, F Durand, J Guttag Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018	323	2018
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces AV Dalca, G Balakrishnan, J Guttag, MR Sabuncu Medical image analysis 57, 226-236, 2019	263	2019
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation AV Dalca, J Guttag, MR Sabuncu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	156	2018
Interactive Whole-Heart Segmentation in Congenital Heart Disease D Pace, AV Dalca, T Geva, AJ Powell, MH Moghari, P Golland Medical Image Computing and Computer Assisted Intervention 9351, 80–88, 2015	124	2015
Deep-learning-based Optimization of the Under-sampling Pattern in MRI CD Bahadir, AQ Wang, AV Dalca, MR Sabuncu IEEE Transactions on Computational Imaging 6, 1139-1152, 2020	107	2020
Learning Conditional Deformable Templates with Convolutional Networks AV Dalca, M Rakic, J Guttag, MR Sabuncu Advances in Neural Information Processing Systems 32, 2019	104	2019
Gaussian Process Prior Variational Autoencoders FP Casale, A Dalca, L Saglietti, J Listgarten, N Fusi Advances in Neural Information Processing Systems, 10389-10400, 2018	104	2018
Genome variation discovery with high-throughput sequencing data AV Dalca, M Brudno Briefings in bioinformatics 11 (1), 3-14, 2010	90	2010
Hypermorph: Amortized hyperparameter learning for image registration A Hoopes, M Hoffmann, B Fischl, J Guttag, AV Dalca Information Processing in Medical Imaging: 27th International Conference …, 2021	84	2021
Automated segmentation of the hypothalamus and associated subunits in brain MRI B Billot, M Bocchetta, E Todd, AV Dalca, JD Rohrer, JE Iglesias Neuroimage 223, 117287, 2020	80	2020
Learning-based optimization of the under-sampling pattern in MRI CD Bahadir, AV Dalca, MR Sabuncu Information Processing in Medical Imaging: 26th International Conference …, 2019	79	2019
A learning strategy for contrast-agnostic MRI segmentation B Billot, D Greve, K Van Leemput, B Fischl, JE Iglesias, AV Dalca arXiv preprint arXiv:2003.01995, 2020	78	2020
Unsupervised deep learning for Bayesian brain MRI segmentation AV Dalca, E Yu, P Golland, B Fischl, MR Sabuncu, J Eugenio Iglesias Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019	77	2019
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ... IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022	73	2022
SynthMorph: learning contrast-invariant registration without acquired images M Hoffmann, B Billot, DN Greve, JE Iglesias, B Fischl, AV Dalca IEEE transactions on medical imaging 41 (3), 543-558, 2021	73*	2021

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