FRESCO: Flexible Alignment with Rectangle Scoring Schemes. - Adrian V. Dalca; Michael Brudno (Pacific Symposium on Biocomputing, 2008)

SHRiMP: Accurate Mapping of Short Color-space Reads. - Stephen M. Rumble; Phil Lacroute; Adrian V. Dalca; Marc Fiume; Arend Sidow; Michael Brudno (PLoS Comput. Biol., 2009)

Genome variation discovery with high-throughput sequencing data. - Adrian V. Dalca; Michael Brudno (Briefings Bioinform., 2010)

VARiD: A variation detection framework for color-space and letter-space platforms. - Adrian V. Dalca; Stephen M. Rumble; Samuel Levy; Michael Brudno (Bioinform., 2010)

Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters. - Adrian V. Dalca; Giovanna Danagoulian; Ron Kikinis; Ehud J. Schmidt; Polina Golland (MICCAI (3), 2011)

Joint Modeling of Imaging and Genetics. - Nematollah Batmanghelich; Adrian V. Dalca; Mert R. Sabuncu; Polina Golland (IPMI, 2013)

Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke. - Ramesh Sridharan; Adrian V. Dalca; Kaitlin M. Fitzpatrick; Lisa Cloonan; Allison Kanakis; Ona Wu; Karen L. Furie; Jonathan Rosand; Natalia S. Rost; Polina Golland (MBIA, 2013)

Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors. - Adrian Vasile Dalca; Ramesh Sridharan; Lisa Cloonan; Kaitlin M. Fitzpatrick; Allison Kanakis; Karen L. Furie; Jonathan Rosand; Ona Wu; Mert R. Sabuncu; Natalia S. Rost; Polina Golland (MICCAI (2), 2014)

Predictive Modeling of Anatomy with Genetic and Clinical Data. - Adrian V. Dalca; Ramesh Sridharan; Mert R. Sabuncu; Polina Golland (MICCAI (3), 2015)

Interactive Whole-Heart Segmentation in Congenital Heart Disease. - Danielle F. Pace; Adrian V. Dalca; Tal Geva; Andrew J. Powell; Mehdi Hedjazi Moghari; Polina Golland (MICCAI (3), 2015)

Patch-Based Discrete Registration of Clinical Brain Images. - Adrian V. Dalca; Andreea Bobu; Natalia S. Rost; Polina Golland (Patch-MI@MICCAI, 2016)

Genetic, clinical and population priors for brain images. - Adrian Vasile Dalca (2016)

Population Based Image Imputation. - Adrian V. Dalca; Katherine L. Bouman; William T. Freeman; Natalia S. Rost; Mert R. Sabuncu; Polina Golland (IPMI, 2017)

Frequency Diffeomorphisms for Efficient Image Registration. - Miaomiao Zhang 002; Ruizhi Liao 001; Adrian V. Dalca; Esra Abaci Turk; Jie Luo 003; Patricia Ellen Grant; Polina Golland (IPMI, 2017)

Reconstructing Video from Interferometric Measurements of Time-Varying Sources. - Katherine L. Bouman; Michael D. Johnson 003; Adrian V. Dalca; Andrew A. Chael; Freek Roelofs; Sheperd S. Doeleman; William T. Freeman (CoRR, 2017)

Synthesizing Images of Humans in Unseen Poses. - Guha Balakrishnan; Amy Zhao; Adrian V. Dalca; Frédo Durand; John V. Guttag (CVPR, 2018)

An Unsupervised Learning Model for Deformable Medical Image Registration. - Guha Balakrishnan; Amy Zhao; Mert R. Sabuncu; John V. Guttag; Adrian V. Dalca (CVPR, 2018)

Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. - Adrian V. Dalca; John V. Guttag; Mert R. Sabuncu (CVPR, 2018)

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. - Adrian V. Dalca; Guha Balakrishnan; John V. Guttag; Mert R. Sabuncu (MICCAI (1), 2018)

Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. - Danielle F. Pace; Adrian V. Dalca; Tom Brosch; Tal Geva; Andrew J. Powell; Jürgen Weese; Mehdi Hedjazi Moghari; Polina Golland (DLMIA/ML-CDS@MICCAI, 2018)

Gaussian Process Prior Variational Autoencoders. - Francesco Paolo Casale; Adrian V. Dalca; Luca Saglietti; Jennifer Listgarten; Nicoló Fusi (NeurIPS, 2018)

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. - Natalia Antropova; Andrew L. Beam; Brett K. Beaulieu-Jones; Irene Chen; Corey Chivers; Adrian V. Dalca; Samuel G. Finlayson; Madalina Fiterau; Jason Alan Fries; Marzyeh Ghassemi; Mike Hughes; Bruno Jedynak; et al. (CoRR, 2018)

Fast Learning-based Registration of Sparse Clinical Images. - Kathleen M. Lewis; Guha Balakrishnan; Natalia S. Rost; John V. Guttag; Adrian V. Dalca (CoRR, 2018)

Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements. - Katherine L. Bouman; Michael D. Johnson 003; Adrian V. Dalca; Andrew A. Chael; Freek Roelofs; Sheperd S. Doeleman; William T. Freeman (IEEE Trans. Computational Imaging, 2018)

Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. - Amy Zhao; Guha Balakrishnan; Frédo Durand; John V. Guttag; Adrian V. Dalca (CVPR, 2019)

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. - Guha Balakrishnan; Adrian V. Dalca; Amy Zhao; John V. Guttag; Frédo Durand; William T. Freeman (ICCV, 2019)

Learning-Based Optimization of the Under-Sampling Pattern in MRI. - Cagla Deniz Bahadir; Adrian V. Dalca; Mert R. Sabuncu (IPMI, 2019)

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. - Adrian V. Dalca; Evan M. Yu; Polina Golland; Bruce Fischl; Mert R. Sabuncu; Juan Eugenio Iglesias (MICCAI (3), 2019)

Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? - Adrian V. Dalca; Matthew B. A. McDermott; Emily Alsentzer; Samuel G. Finlayson; Michael Oberst; Fabian Falck; Corey Chivers; Andrew Beam; Tristan Naumann; Brett K. Beaulieu-Jones (ML4H@NeurIPS, 2019)

Learning Conditional Deformable Templates with Convolutional Networks. - Adrian V. Dalca; Marianne Rakic; John V. Guttag; Mert R. Sabuncu (NeurIPS, 2019)

Data augmentation using learned transforms for one-shot medical image segmentation. - Amy Zhao; Guha Balakrishnan; Frédo Durand; John V. Guttag; Adrian V. Dalca (CoRR, 2019)

Unsupervised Data Imputation via Variational Inference of Deep Subspaces. - Adrian V. Dalca; John V. Guttag; Mert R. Sabuncu (CoRR, 2019)

Confidence Calibration for Convolutional Neural Networks Using Structured Dropout. - Zhilu Zhang 004; Adrian V. Dalca; Mert R. Sabuncu (CoRR, 2019)

Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. - 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 J. Niessen; Meike W. Vernooij; Natalia S. Rost; et al. (CoRR, 2019)

Adaptive Compressed Sensing MRI with Unsupervised Learning. - Cagla Deniz Bahadir; Adrian V. Dalca; Mert R. Sabuncu (CoRR, 2019)

Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation. - Hyeon Woo Lee; Mert R. Sabuncu; Adrian V. Dalca (CoRR, 2019)

Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. - Adrian V. Dalca; Guha Balakrishnan; John V. Guttag; Mert R. Sabuncu (Medical Image Anal., 2019)

VoxelMorph: A Learning Framework for Deformable Medical Image Registration. - Guha Balakrishnan; Amy Zhao; Mert R. Sabuncu; John V. Guttag; Adrian V. Dalca (IEEE Trans. Medical Imaging, 2019)

Medical Image Imputation From Image Collections. - Adrian V. Dalca; Katherine L. Bouman; William T. Freeman; Natalia S. Rost; Mert R. Sabuncu; Polina Golland (IEEE Trans. Medical Imaging, 2019)

Fast learning-based registration of sparse 3D clinical images. - Kathleen M. Lewis; Natalia S. Rost; John V. Guttag; Adrian V. Dalca (CHIL, 2020)

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. - Amy Zhao; Guha Balakrishnan; Kathleen M. Lewis; Frédo Durand; John V. Guttag; Adrian V. Dalca (CVPR, 2020)

Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. - He Sun 010; Adrian V. Dalca; Katherine L. Bouman (ICCP, 2020)

Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast. - Benjamin Billot; Eleanor D. Robinson; Adrian V. Dalca; Juan Eugenio Iglesias (MICCAI (7), 2020)

Unbiased Atlas Construction for Neonatal Cortical Surfaces via Unsupervised Learning. - Jieyu Cheng; Adrian V. Dalca; Lilla Zöllei (ASMUS/PIPPI@MICCAI, 2020)

3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology. - Henry F. J. Tregidgo; Adrià Casamitjana; Caitlin Latimer; Mitchell Kilgore; Eleanor D. Robinson; Emily Blackburn; Koen Van Leemput; Bruce Fischl; Adrian V. Dalca; Christine L. Mac Donald; Dirk Keene; Juan Eugenio Iglesias (MICCAI (5), 2020)

Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data. - Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (MLMIR@MICCAI, 2020)

Learning Conditional Deformable Shape Templates for Brain Anatomy. - Evan M. Yu; Adrian V. Dalca; Mert R. Sabuncu (MLMI@MICCAI, 2020)

A Learning Strategy for Contrast-agnostic MRI Segmentation. - Benjamin Billot; Douglas N. Greve; Koen Van Leemput; Bruce Fischl; Juan Eugenio Iglesias; Adrian V. Dalca (MIDL, 2020)

An Auto-Encoder Strategy for Adaptive Image Segmentation. - Evan M. Yu; Juan Eugenio Iglesias; Adrian V. Dalca; Mert R. Sabuncu (MIDL, 2020)

ML4H Abstract Track 2019. - Matthew B. A. McDermott; Emily Alsentzer; Samuel G. Finlayson; Michael Oberst; Fabian Falck; Tristan Naumann; Brett K. Beaulieu-Jones; Adrian V. Dalca (CoRR, 2020)

Cortical surface registration using unsupervised learning. - Jieyu Cheng; Adrian V. Dalca; Bruce Fischl; Lilla Zöllei (CoRR, 2020)

Learning Multi-Modal Image Registration without Real Data. - Malte Hoffmann; Benjamin Billot; Juan Eugenio Iglesias; Bruce Fischl; Adrian V. Dalca (CoRR, 2020)

Anatomical Predictions using Subject-Specific Medical Data. - Marianne Rakic; John V. Guttag; Adrian V. Dalca (CoRR, 2020)

Joint Frequency- and Image-Space Learning for Fourier Imaging. - Nalini M. Singh; Juan Eugenio Iglesias; Elfar Adalsteinsson; Adrian V. Dalca; Polina Golland (CoRR, 2020)

Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. - 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 J. Niessen; Meike W. Vernooij; Natalia S. Rost; et al. (Medical Image Anal., 2020)

Automated segmentation of the hypothalamus and associated subunits in brain MRI. - Benjamin Billot; Martina Bocchetta; Emily Todd; Adrian V. Dalca; Jonathan D. Rohrer; Juan Eugenio Iglesias (NeuroImage, 2020)

Cortical surface registration using unsupervised learning. - Jieyu Cheng; Adrian V. Dalca; Bruce Fischl; Lilla Zöllei; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2020)

Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI. - Cagla Deniz Bahadir; Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (IEEE Trans. Computational Imaging, 2020)

Learning to predict with supporting evidence: applications to clinical risk prediction. - Aniruddh Raghu; John V. Guttag; Katherine Young; Eugene Pomerantsev; Adrian V. Dalca; Collin M. Stultz (CHIL, 2021)

Generative Adversarial Registration for Improved Conditional Deformable Templates. - Neel Dey; Mengwei Ren; Adrian V. Dalca; Guido Gerig (ICCV, 2021)

HyperMorph: Amortized Hyperparameter Learning for Image Registration. - Andrew Hoopes; Malte Hoffmann; Bruce Fischl; John V. Guttag; Adrian V. Dalca (IPMI, 2021)

Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs. - Benjamin Billot; Stefano Cerri; Koen Van Leemput; Adrian V. Dalca; Juan Eugenio Iglesias (ISBI, 2021)

Learning Mri Contrast-Agnostic Registration. - Malte Hoffmann; Benjamin Billot; Juan Eugenio Iglesias; Bruce Fischl; Adrian V. Dalca (ISBI, 2021)

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; Martin Bretzner; Natalia S. Rost; Polina Golland (DGM4MICCAI/DALI@MICCAI, 2021)

HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks. - Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (MLMIR@MICCAI, 2021)

End-to-End Sequential Sampling and Reconstruction for MRI. - Tianwei Yin; Zihui Wu; He Sun 010; Adrian V. Dalca; Yisong Yue; Katherine L. Bouman (ML4H@NeurIPS, 2021)

Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks. - Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (CoRR, 2021)

End-to-End Sequential Sampling and Reconstruction for MR Imaging. - Tianwei Yin; Zihui Wu; He Sun 010; Adrian V. Dalca; Yisong Yue; Katherine L. Bouman (CoRR, 2021)

Unsupervised learning of MRI tissue properties using MRI physics models. - Divya Varadarajan; Katherine L. Bouman; André J. W. van der Kouwe; Bruce Fischl; Adrian V. Dalca (CoRR, 2021)

SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution. - Benjamin Billot; Douglas N. Greve; Oula Puonti; Axel Thielscher; Koen Van Leemput; Bruce Fischl; Adrian V. Dalca; Juan Eugenio Iglesias (CoRR, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels. - Sungmin Hong; Anna K. Bonkhoff; Andrew Hoopes; Martin Bretzner; Markus D. Schirmer; Anne-Katrin Giese; Adrian V. Dalca; Polina Golland; Natalia S. Rost (CoRR, 2021)

A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images. - Douglas N. Greve; Benjamin Billot; Devani Cordero; Andrew Hoopes; Malte Hoffmann; Adrian V. Dalca; Bruce Fischl; Juan Eugenio Iglesias; Jean C. Augustinack (NeuroImage, 2021)

Mapping the subcortical connectivity of the human default mode network. - Jian Li 033; William H. Curley; Bastien Guérin; Darin D. Dougherty; Adrian V. Dalca; Bruce Fischl; Andreas Horn; Brian L. Edlow (NeuroImage, 2021)

Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer - ASEG and SAMSEG. - Donatas Sederevicius; Dídac Vidal-Piñeiro; Øystein Sørensen; Koenraad Van Leemput; Juan Eugenio Iglesias; Adrian V. Dalca; Douglas N. Greve; Bruce Fischl; Atle Bjørnerud; Kristine B. Walhovd; Anders M. Fjell (NeuroImage, 2021)

TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces. - Andrew Hoopes; Juan Eugenio Iglesias; Bruce Fischl; Douglas N. Greve; Adrian V. Dalca (MIDL, 2022)

KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection. - Evan M. Yu; Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (MIDL, 2022)

Hyper-Convolution Networks for Biomedical Image Segmentation. - Tianyu Ma; Adrian V. Dalca; Mert R. Sabuncu (WACV, 2022)

SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. - Sean I. Young; Yaël Balbastre; Adrian V. Dalca; William M. Wells III; Juan Eugenio Iglesias; Bruce Fischl (WBIR, 2022)

Hyper-Convolutions via Implicit Kernels for Medical Imaging. - Tianyu Ma; Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (CoRR, 2022)

SUD: Supervision by Denoising for Medical Image Segmentation. - Sean I. Young; Adrian V. Dalca; Enzo Ferrante; Polina Golland; Bruce Fischl; Juan Eugenio Iglesias (CoRR, 2022)

Computing Multiple Image Reconstructions with a Single Hypernetwork. - Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (CoRR, 2022)

Learning the Effect of Registration Hyperparameters with HyperMorph. - Andrew Hoopes; Malte Hoffmann; Douglas N. Greve; Bruce Fischl; John V. Guttag; Adrian V. Dalca (CoRR, 2022)

Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease. - Danielle F. Pace; Adrian V. Dalca; Tom Brosch; Tal Geva; Andrew J. Powell; Jürgen Weese; Mehdi Hedjazi Moghari; Polina Golland (Medical Image Anal., 2022)

SynthStrip: skull-stripping for any brain image. - Andrew Hoopes; Jocelyn S. Mora; Adrian V. Dalca; Bruce Fischl; Malte Hoffmann (NeuroImage, 2022)

How Machine Learning is Powering Neuroimaging to Improve Brain Health. - Nalini M. Singh; Jordan B. Harrod; Sandya Subramanian; Mitchell B. Robinson; Ken Chang; Suheyla Cetin Karayumak; Adrian Vasile Dalca; Simon B. Eickhoff; Michael Fox; Loraine Franke; Polina Golland; Daniel Haehn; et al. (Neuroinformatics, 2022)

SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images. - Malte Hoffmann; Benjamin Billot; Douglas N. Greve; Juan Eugenio Iglesias; Bruce Fischl; Adrian V. Dalca (IEEE Trans. Medical Imaging, 2022)

Neuralizer: General Neuroimage Analysis without Re-Training. - Steffen Czolbe; Adrian V. Dalca (CVPR, 2023)

UniverSeg: Universal Medical Image Segmentation. - Victor Ion Butoi; Jose Javier Gonzalez Ortiz; Tianyu Ma; Mert R. Sabuncu; John V. Guttag; Adrian V. Dalca (ICCV, 2023)

Multi-head Graph Convolutional Network for Structural Connectome Classification. - Anees Kazi; Jocelyn S. Mora; Bruce Fischl; Adrian V. Dalca; Iman Aganj (GRAIL/OCELOT@MICCAI, 2023)

Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. - Heejong Kim; Victor Ion Butoi; Adrian V. Dalca; Mert R. Sabuncu (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography. - Ruisheng Su; Matthijs van der Sluijs; Sandra A. P. Cornelissen; Wim H. van Zwam; Aad van der Lugt; Wiro J. Niessen; Danny Ruijters; Theo van Walsum; Adrian V. Dalca (MICCAI (7), 2023)

Joint cortical registration of geometry and function using semi-supervised learning. - Jian Li 033; Greta Tuckute; Evelina Fedorenko; Brian L. Edlow; Bruce Fischl; Adrian V. Dalca (MIDL, 2023)

Data Consistent Deep Rigid MRI Motion Correction. - Nalini M. Singh; Neel Dey; Malte Hoffmann; Bruce Fischl; Elfar Adalsteinsson; Robert Frost; Adrian V. Dalca; Polina Golland (MIDL, 2023)

Anatomy-specific acquisition-agnostic affine registration learned from fictitious images. - Malte Hoffmann; Andrew Hoopes; Bruce Fischl; Adrian V. Dalca (Image Processing, 2023)

Scale-Space Hypernetworks for Efficient Biomedical Image Analysis. - Jose Javier Gonzalez Ortiz; John V. Guttag; Adrian V. Dalca (NeurIPS, 2023)

Anatomy-aware and acquisition-agnostic joint registration with SynthMorph. - Malte Hoffmann; Andrew Hoopes; Douglas N. Greve; Bruce Fischl; Adrian V. Dalca (CoRR, 2023)

Amortized Learning of Dynamic Feature Scaling for Image Segmentation. - Jose Javier Gonzalez Ortiz; John V. Guttag; Adrian V. Dalca (CoRR, 2023)

Non-Proportional Parametrizations for Stable Hypernetwork Learning. - Jose Javier Gonzalez Ortiz; John V. Guttag; Adrian V. Dalca (CoRR, 2023)

Generating Image-Specific Text Improves Fine-grained Image Classification. - Emily Mu; Kathleen M. Lewis; Adrian V. Dalca; John V. Guttag (CoRR, 2023)

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image. - Hallee E. Wong; Marianne Rakic; John V. Guttag; Adrian V. Dalca (CoRR, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining. - Benjamin Billot; Douglas N. Greve; Oula Puonti; Axel Thielscher; Koen Van Leemput; Bruce Fischl; Adrian V. Dalca; Juan Eugenio Iglesias (Medical Image Anal., 2023)

Hyper-convolutions via implicit kernels for medical image analysis. - Tianyu Ma; Alan Q. Wang 003; Adrian V. Dalca; Mert R. Sabuncu (Medical Image Anal., 2023)

A robust and interpretable deep learning framework for multi-modal registration via keypoints. - Alan Q. Wang 003; Evan M. Yu; Adrian V. Dalca; Mert R. Sabuncu (Medical Image Anal., 2023)

Tyche: Stochastic in-Context Learning for Medical Image Segmentation. - Marianne Rakic; Hallee E. Wong; Jose Javier Gonzalez Ortiz; Beth A. Cimini; John V. Guttag; Adrian V. Dalca (CVPR, 2024)

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image. - Hallee E. Wong; Marianne Rakic; John V. Guttag; Adrian V. Dalca (ECCV (40), 2024)

Magnitude Invariant Parametrizations Improve Hypernetwork Learning. - Jose Javier Gonzalez Ortiz; John V. Guttag; Adrian V. Dalca (ICLR, 2024)

Boosting Skull-Stripping Performance for Pediatric Brain Images. - William Kelley; Nathan Ngo; Adrian V. Dalca; Bruce Fischl; Lilla Zöllei; Malte Hoffmann (ISBI, 2024)

AnyStar: Domain randomized universal star-convex 3D instance segmentation. - Neel Dey; S. Mazdak Abulnaga; Benjamin Billot; Esra Abaci Turk; Patricia Ellen Grant; Adrian V. Dalca; Polina Golland (WACV, 2024)

BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration. - Alan Q. Wang 003; Rachit Saluja; Heejong Kim; Xinzi He; Adrian V. Dalca; Mert R. Sabuncu (CoRR, 2024)

VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis. - Andrew Hoopes; Victor Ion Butoi; John V. Guttag; Adrian V. Dalca (CoRR, 2024)

MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance. - Hallee E. Wong; Jose Javier Gonzalez Ortiz; John V. Guttag; Adrian V. Dalca (CoRR, 2024)

JOSA: Joint surface-based registration and atlas construction of brain geometry and function. - Jian Li 033; Greta Tuckute; Evelina Fedorenko; Brian L. Edlow; Adrian V. Dalca; Bruce Fischl (Medical Image Anal., 2024)

Learning Task-Specific Strategies for Accelerated MRI. - Zihui Wu; Tianwei Yin; Yu Sun 022; Robert Frost; André J. W. van der Kouwe; Adrian V. Dalca; Katherine L. Bouman (IEEE Trans. Computational Imaging, 2024)

MultiMorph: On-demand Atlas Construction. - S. Mazdak Abulnaga; Andrew Hoopes; Neel Dey; Malte Hoffmann; Bruce Fischl; John V. Guttag; Adrian V. Dalca (CVPR, 2025)

Learning General-purpose Biomedical Volume Representations using Randomized Synthesis. - Neel Dey; Benjamin Billot; Hallee E. Wong; Clinton J. Wang; Mengwei Ren; Ellen Grant; Adrian V. Dalca; Polina Golland (ICLR, 2025)

Learning Accurate Rigid Registration for Longitudinal Brain MRI from Synthetic Data. - Jingru Fu; Adrian V. Dalca; Bruce Fischl; Rodrigo Moreno; Malte Hoffmann (ISBI, 2025)

MultiMorph: On-demand Atlas Construction. - S. Mazdak Abulnaga; Andrew Hoopes; Neel Dey; Malte Hoffmann; Marianne Rakic; Bruce Fischl; John V. Guttag; Adrian V. Dalca (CoRR, 2025)

End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images. - Jesper Duemose Nielsen; Karthik Gopinath; Andrew Hoopes; Adrian V. Dalca; Colin G. Magdamo; Steven E. Arnold; Sudeshna Das 001; Axel Thielscher; Juan Eugenio Iglesias; Oula Puonti (CoRR, 2025)

Supervision by Denoising. - Sean I. Young; Adrian V. Dalca; Enzo Ferrante; Polina Golland; Christopher A. Metzler; Bruce Fischl; Juan Eugenio Iglesias (IEEE Trans. Pattern Anal. Mach. Intell., 2025)