Adrian V. Dalca

According to our database, Adrian V. Dalca authored at least 116 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Task-Specific Strategies for Accelerated MRI.

Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman

IEEE Trans. Computational Imaging, 2024

JOSA: Joint surface-based registration and atlas construction of brain geometry and function.

Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Adrian V. Dalca, Bruce Fischl

Medical Image Anal., 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

Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis.

Neel Dey, Benjamin Billot, Hallee E. Wong, Clinton J. Wang, Mengwei Ren, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland

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

BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration.

Alan Q. Wang, Rachit Saluja, Heejong Kim, Xinzi He, Adrian V. Dalca, Mert R. Sabuncu

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Boosting Skull-Stripping Performance for Pediatric Brain Images.

William Kelley, Nathan Ngo, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Malte Hoffmann

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Magnitude Invariant Parametrizations Improve Hypernetwork Learning.

Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image.

Hallee E. Wong, Marianne Rakic, John V. Guttag, Adrian V. Dalca

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A robust and interpretable deep learning framework for multi-modal registration via keypoints.

Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu

Medical Image Anal., December, 2023

Hyper-convolutions via implicit kernels for medical image analysis.

Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu

Medical Image Anal., May, 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., May, 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, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

IEEE Trans. Medical Imaging, March, 2023

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image.

Hallee E. Wong, Marianne Rakic, 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

Non-Proportional Parametrizations for Stable Hypernetwork Learning.

Jose Javier Gonzalez Ortiz, John V. Guttag, 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

Anatomy-aware and acquisition-agnostic joint registration with SynthMorph.

Malte Hoffmann, Andrew Hoopes, Douglas N. Greve, Bruce Fischl, Adrian V. Dalca

CoRR, 2023

Scale-Space Hypernetworks for Efficient Biomedical Image Analysis.

Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Anatomy-specific acquisition-agnostic affine registration learned from fictitious images.

Malte Hoffmann, Andrew Hoopes, Bruce Fischl, Adrian V. Dalca

Proceedings of the Medical Imaging 2023: Image Processing, 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

Proceedings of the Medical Imaging with Deep Learning, 2023

Joint cortical registration of geometry and function using semi-supervised learning.

Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Bruce Fischl, Adrian V. Dalca

Proceedings of the Medical Imaging with Deep Learning, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging.

Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Multi-head Graph Convolutional Network for Structural Connectome Classification.

Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

UniverSeg: Universal Medical Image Segmentation.

Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neuralizer: General Neuroimage Analysis without Re-Training.

Steffen Czolbe, Adrian V. Dalca

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

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, Juan Eugenio Iglesias, Lauren J. O'Donnell, Yangming Ou, Yogesh Rathi, Shan H. Siddiqi, Haoqi Sun, M. Brandon Westover, Susan L. Whitfield-Gabrieli, Randy L. Gollub

Neuroinformatics, 2022

SynthStrip: skull-stripping for any brain image.

Andrew Hoopes, Jocelyn S. Mora, Adrian V. Dalca, Bruce Fischl, Malte Hoffmann

NeuroImage, 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

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

Computing Multiple Image Reconstructions with a Single Hypernetwork.

Alan Q. Wang, 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

Hyper-Convolutions via Implicit Kernels for Medical Imaging.

Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu

CoRR, 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

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Hyper-Convolution Networks for Biomedical Image Segmentation.

Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection.

Evan M. Yu, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces.

Andrew Hoopes, Juan Eugenio Iglesias, Bruce Fischl, Douglas N. Greve, Adrian V. Dalca

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

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

Mapping the subcortical connectivity of the human default mode network.

Jian Li, William H. Curley, Bastien Guérin, Darin D. Dougherty, Adrian V. Dalca, Bruce Fischl, Andreas Horn, Brian L. Edlow

NeuroImage, 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

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

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, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

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

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

End-to-End Sequential Sampling and Reconstruction for MR Imaging.

Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman

CoRR, 2021

Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks.

Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu

CoRR, 2021

End-to-End Sequential Sampling and Reconstruction for MRI.

Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman

Proceedings of the Machine Learning for Health, 2021

HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks.

Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu

Proceedings of the Machine Learning for Medical Image Reconstruction, 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

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Learning Mri Contrast-Agnostic Registration.

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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

HyperMorph: Amortized Hyperparameter Learning for Image Registration.

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

Proceedings of the Information Processing in Medical Imaging, 2021

Generative Adversarial Registration for Improved Conditional Deformable Templates.

Neel Dey, Mengwei Ren, Adrian V. Dalca, Guido Gerig

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

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

Cagla Deniz Bahadir, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu

IEEE Trans. Computational Imaging, 2020

Cortical surface registration using unsupervised learning.

Jieyu Cheng, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Alzheimer's Disease Neuroimaging Initiative

NeuroImage, 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

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, Markus D. Schirmer

Medical Image Anal., 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

Anatomical Predictions using Subject-Specific Medical Data.

Marianne Rakic, John V. Guttag, Adrian V. Dalca

CoRR, 2020

Learning Multi-Modal Image Registration without Real Data.

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

CoRR, 2020

Cortical surface registration using unsupervised learning.

Jieyu Cheng, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei

CoRR, 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

An Auto-Encoder Strategy for Adaptive Image Segmentation.

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Learning Conditional Deformable Shape Templates for Brain Anatomy.

Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data.

Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu

Proceedings of the Machine Learning for Medical Image Reconstruction, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Unbiased Atlas Construction for Neonatal Cortical Surfaces via Unsupervised Learning.

Jieyu Cheng, Adrian V. Dalca, Lilla Zöllei

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning a Probabilistic Strategy for Computational Imaging Sensor Selection.

He Sun, Adrian V. Dalca, Katherine L. Bouman

Proceedings of the 2020 IEEE International Conference on Computational Photography, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Fast learning-based registration of sparse 3D clinical images.

Kathleen M. Lewis, Natalia S. Rost, John V. Guttag, Adrian V. Dalca

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

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

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

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

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

Hyeon Woo Lee, Mert R. Sabuncu, Adrian V. Dalca

CoRR, 2019

Adaptive Compressed Sensing MRI with Unsupervised Learning.

Cagla Deniz Bahadir, 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, Markus D. Schirmer

CoRR, 2019

Confidence Calibration for Convolutional Neural Networks Using Structured Dropout.

Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu

CoRR, 2019

Unsupervised Data Imputation via Variational Inference of Deep Subspaces.

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

CoRR, 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

Learning Conditional Deformable Templates with Convolutional Networks.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

Proceedings of the Machine Learning for Health Workshop, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning-Based Optimization of the Under-Sampling Pattern in MRI.

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

Proceedings of the Information Processing in Medical Imaging, 2019

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions.

Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements.

Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman

IEEE Trans. Computational Imaging, 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

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, Jasvinder S. Kandola, Matthew B. A. McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi

CoRR, 2018

Gaussian Process Prior Variational Autoencoders.

Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

An Unsupervised Learning Model for Deformable Medical Image Registration.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Synthesizing Images of Humans in Unseen Poses.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Reconstructing Video from Interferometric Measurements of Time-Varying Sources.

Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman

CoRR, 2017

Frequency Diffeomorphisms for Efficient Image Registration.

Miaomiao Zhang, Ruizhi Liao, Adrian V. Dalca, Esra Abaci Turk, Jie Luo, Patricia Ellen Grant, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2017

Population Based Image Imputation.

Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Genetic, clinical and population priors for brain images.

Adrian Vasile Dalca

PhD thesis, 2016

Patch-Based Discrete Registration of Clinical Brain Images.

Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland

Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Predictive Modeling of Anatomy with Genetic and Clinical Data.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2014

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

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

Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Joint Modeling of Imaging and Genetics.

Nematollah Batmanghelich, Adrian V. Dalca, Mert R. Sabuncu, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2013

2011

Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters.

Adrian V. Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud J. Schmidt, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

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

Genome variation discovery with high-throughput sequencing data.

Adrian V. Dalca, Michael Brudno

Briefings Bioinform., 2010

2009

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

2008

FRESCO: Flexible Alignment with Rectangle Scoring Schemes.

Adrian V. Dalca, Michael Brudno

Proceedings of the Biocomputing 2008, 2008