2026 Adrian V. Dalca: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	33	12581	12213	5100	4868	184	5353

Overview

Adrian V. Dalca is affiliated with MIT in the United States and is active in the fields of Medicine and Computer Science. Their research intersects multiple subfields, predominantly Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Pulmonary and Respiratory Medicine.

The scientist's work covers various advanced topics within medical imaging and neurological studies. Key research areas include Advanced MRI Techniques and Applications, Medical Image Segmentation Techniques, Radiomics and Machine Learning in Medical Imaging, Acute Ischemic Stroke Management, Cerebrovascular and Carotid Artery Diseases, Advanced Neuroimaging Techniques and Applications, and Advanced Neural Network Applications.

Dalca has published extensively, with recent papers focusing on brain MRI segmentation, stroke outcomes, and optimization of imaging techniques. Selected publications include:

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining, 2023, Medical Image Analysis
Automated segmentation of the hypothalamus and associated subunits in brain MRI, 2020, NeuroImage
Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI, 2020, IEEE Transactions on Computational Imaging
Outcome after acute ischemic stroke is linked to sex-specific lesion patterns, 2021, Nature Communications
Mapping the subcortical connectivity of the human default mode network, 2021, NeuroImage

Dalca frequently collaborates with researchers such as Bruce Fischl, Markus D. Schirmer, Anne-Katrin Giese, Natalia S. Rost, and Polina Golland, reflecting a broad network of co-authorship in medical imaging and computational analysis.

The scientist has contributed book publications with Springer Science+Business Media, including works titled:

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis (2020)
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis (2021)
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (2022)

Dalca publishes predominantly in venues such as arXiv, bioRxiv, Zenodo, Medical Image Analysis, and NeuroImage, indicating a sustained focus on disseminating research on medical imaging technologies and related computational methods.

Best Publications

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;John Guttag

2267
Citations
SHRiMP: Accurate Mapping of Short Color-space Reads

Stephen M. Rumble;Phil Lacroute;Adrian V. Dalca;Marc Fiume

785
Citations
An Unsupervised Learning Model for Deformable Medical Image Registration

Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;Adrian V. Dalca

686
Citations
An Unsupervised Learning Model for Deformable Medical Image Registration

Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;John Guttag

641
Citations
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

Unknown

512
Citations
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation

Amy Zhao;Guha Balakrishnan;Fredo Durand;John V. Guttag

479
Citations
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces.

Adrian V. Dalca;Adrian V. Dalca;Adrian V. Dalca;Guha Balakrishnan;John V. Guttag;Mert R. Sabuncu

427
Citations
Synthesizing Images of Humans in Unseen Poses

Guha Balakrishnan;Amy Zhao;Adrian V. Dalca;Fredo Durand

357
Citations
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

Adrian V. Dalca;Guha Balakrishnan;John V. Guttag;Mert R. Sabuncu

233
Citations
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

Adrian V. Dalca;Guha Balakrishnan;John Guttag;Mert R. Sabuncu

197
Citations
Automated segmentation of the Hypothalamus and associated subunits in brain MRI

Benjamin Billot;Martina Bocchetta;Emily Todd;Adrian V. Dalca

194
Citations
SynthMorph: learning contrast-invariant registration without acquired images.

Malte Hoffmann;Benjamin Billot;Douglas N. Greve;Juan Eugenio Iglesias

188
Citations
Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI

Cagla D. Bahadir;Alan Q. Wang;Adrian V. Dalca;Mert R. Sabuncu

137
Citations
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation

Adrian V. Dalca;John Guttag;Mert R. Sabuncu

131
Citations
Interactive Whole-Heart Segmentation in Congenital Heart Disease

Danielle F. Pace;Adrian V. Dalca;Tal Geva;Andrew J. Powell;Andrew J. Powell

114
Citations
Mapping the subcortical connectivity of the human default mode network.

Jian Li;William H. Curley;Bastien Guerin;Darin D. Dougherty

103
Citations
Genome variation discovery with high-throughput sequencing data

Adrian V. Dalca;Michael Brudno

93
Citations
HyperMorph: Amortized Hyperparameter Learning for Image Registration

Andrew Hoopes;Malte Hoffmann;Bruce Fischl;John V. Guttag

89
Citations
Learning Conditional Deformable Templates with Convolutional Networks

Adrian V. Dalca;Marianne Rakic;John V. Guttag;Mert R. Sabuncu

81
Citations
Learning-Based Optimization of the Under-Sampling Pattern in MRI

Cagla Deniz Bahadir;Adrian V. Dalca;Adrian V. Dalca;Mert R. Sabuncu

80
Citations
A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images.

Douglas N. Greve;Benjamin Billot;Devani Cordero;Andrew Hoopes

73
Citations
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation

Adrian V. Dalca;Adrian V. Dalca;Evan M. Yu;Polina Golland;Bruce Fischl

70
Citations
White matter hyperintensity quantification in large-scale clinical acute ischemic stroke cohorts – The MRI-GENIE study

Markus D. Schirmer;Markus D. Schirmer;Adrian V. Dalca;Ramesh Sridharan;Anne Katrin Giese

70
Citations
Frequency Diffeomorphisms for Efficient Image Registration

Miaomiao Zhang;Ruizhi Liao;Adrian V. Dalca;Esra A. Turk

58
Citations
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images

Sungmin Hong;Razvan V. Marinescu;Adrian V. Dalca;Anna K. Bonkhoff

58
Citations
Trends and Focus of Machine Learning Applications for Health Research.

Brett Beaulieu-Jones;Samuel G. Finlayson;Corey Chivers;Irene Chen

58
Citations
A Learning Strategy for Contrast-agnostic MRI Segmentation

Benjamin Billot;Douglas N. Greve;Koen Van Leemput;Bruce Fischl

54
Citations
Learning Conditional Deformable Templates with Convolutional Networks

Adrian V. Dalca;Marianne Rakic;John Guttag;Mert R. Sabuncu

52
Citations
Learning the Effect of Registration Hyperparameters with HyperMorph

Unknown

50
Citations
Data augmentation using learned transformations for one-shot medical image segmentation

Amy Zhao;Guha Balakrishnan;Frédo Durand;John V. Guttag

48
Citations
A Learning Strategy for Contrast-agnostic MRI Segmentation

Benjamin Billot;Douglas Greve;Koen Van Leemput;Bruce Fischl

48
Citations

Frequent Co-Authors

Polina Golland MIT

Ona Wu Harvard University

Mert R. Sabuncu Cornell University

John V. Guttag MIT

Bruce Fischl Harvard University

Reinhold Schmidt Medical University of Graz

Douglas N. Greve Harvard University

Frédo Durand MIT

William T. Freeman MIT

Michael Brudno University of Toronto

External Links

Personal website of Adrian V. Dalca

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