Adrian V. Dalca

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 138

Top Venues

Publications

Alan Q. Wang, Rachit Saluja, Heejong Kim, Xinzi He, Adrian V. Dalca, Mert R. Sabuncu
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration. CoRR (2024)
Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
Magnitude Invariant Parametrizations Improve Hypernetwork Learning. ICLR (2024)
William Kelley, Nathan Ngo, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Malte Hoffmann
Boosting Skull-Stripping Performance for Pediatric Brain Images. CoRR (2024)
Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland
AnyStar: Domain randomized universal star-convex 3D instance segmentation. WACV (2024)
Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
Learning Task-Specific Strategies for Accelerated MRI. IEEE Trans. Computational Imaging 10 (2024)
Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth Cimini, John V. Guttag, Adrian V. Dalca
Tyche: Stochastic In-Context Learning for Medical Image Segmentation. CoRR (2024)
Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
Amortized Learning of Dynamic Feature Scaling for Image Segmentation. CoRR (2023)
Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Adrian V. Dalca, Bruce Fischl
JOSA: Joint surface-based registration and atlas construction of brain geometry and function. CoRR (2023)
Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Bruce Fischl, Adrian V. Dalca
Joint cortical registration of geometry and function using semi-supervised learning. CoRR (2023)
Steffen Czolbe, Adrian V. Dalca
Neuralizer: General Neuroimage Analysis without Re-Training. CoRR (2023)
Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
Scale-Space Hypernetworks for Efficient Biomedical Image Analysis. NeurIPS (2023)
Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
A robust and interpretable deep learning framework for multi-modal registration via keypoints. CoRR (2023)
Hallee E. Wong, Marianne Rakic, John V. Guttag, Adrian V. Dalca
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image. CoRR (2023)
Malte Hoffmann, Andrew Hoopes, Bruce Fischl, Adrian V. Dalca
Anatomy-specific acquisition-agnostic affine registration learned from fictitious images. Medical Imaging: Image Processing (2023)
Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj
Multi-Head Graph Convolutional Network for Structural Connectome Classification. CoRR (2023)
Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
Learning Task-Specific Strategies for Accelerated MRI. CoRR (2023)
Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj
Multi-head Graph Convolutional Network for Structural Connectome Classification. GRAIL/OCELOT@MICCAI (2023)
Malte Hoffmann, Andrew Hoopes, Douglas N. Greve, Bruce Fischl, Adrian V. Dalca
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph. CoRR (2023)
Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland
AnyStar: Domain randomized universal star-convex 3D instance segmentation. CoRR (2023)
Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. CoRR (2023)
Jose Javier Gonzalez Ortiz, John J. Guttag, Adrian V. Dalca
Non-Proportional Parametrizations for Stable Hypernetwork Learning. CoRR (2023)
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
AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography. CoRR (2023)
Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland
Data Consistent Deep Rigid MRI Motion Correction. CoRR (2023)
Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
UniverSeg: Universal Medical Image Segmentation. ICCV (2023)
Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
UniverSeg: Universal Medical Image Segmentation. CoRR (2023)
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
AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography. MICCAI (7) (2023)
Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland
Data Consistent Deep Rigid MRI Motion Correction. MIDL (2023)
Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
A robust and interpretable deep learning framework for multi-modal registration via keypoints. Medical Image Anal. 90 (2023)
Emily Mu, Kathleen M. Lewis, Adrian V. Dalca, John V. Guttag
Generating Image-Specific Text Improves Fine-grained Image Classification. CoRR (2023)
Steffen Czolbe, Adrian V. Dalca
Neuralizer: General Neuroimage Analysis without Re-Training. CVPR (2023)
Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining. Medical Image Anal. 86 (2023)
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
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42 (3) (2023)
Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Bruce Fischl, Adrian V. Dalca
Joint cortical registration of geometry and function using semi-supervised learning. MIDL (2023)
Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Hyper-convolutions via implicit kernels for medical image analysis. Medical Image Anal. 86 (2023)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Computing Multiple Image Reconstructions with a Single Hypernetwork. CoRR (2022)
Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu
Hyper-Convolution Networks for Biomedical Image Segmentation. WACV (2022)
Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease. Medical Image Anal. 80 (2022)
Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Hyper-Convolutions via Implicit Kernels for Medical Imaging. CoRR (2022)
Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias
SUD: Supervision by Denoising for Medical Image Segmentation. CoRR (2022)
Andrew Hoopes, Juan Eugenio Iglesias, Bruce Fischl, Douglas N. Greve, Adrian V. Dalca
TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces. MIDL (2022)
Evan M. Yu, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection. MIDL (2022)
Andrew Hoopes, Jocelyn S. Mora, Adrian V. Dalca, Bruce Fischl, Malte Hoffmann
SynthStrip: skull-stripping for any brain image. NeuroImage 260 (2022)
Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. WBIR (2022)
Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. CoRR (2022)
Andrew Hoopes, Jocelyn S. Mora, Adrian V. Dalca, Bruce Fischl, Malte Hoffmann
SynthStrip: Skull-Stripping for Any Brain Image. CoRR (2022)
Malte Hoffmann, Benjamin Billot, Douglas N. Greve, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca
SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images. IEEE Trans. Medical Imaging 41 (3) (2022)
Andrew Hoopes, Malte Hoffmann, Douglas N. Greve, Bruce Fischl, John V. Guttag, Adrian V. Dalca
Learning the Effect of Registration Hyperparameters with HyperMorph. CoRR (2022)
Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca
HyperMorph: Amortized Hyperparameter Learning for Image Registration. CoRR (2021)
Jian Li, William H. Curley, Bastien Guerin, Darin D. Dougherty, Adrian V. Dalca, Bruce Fischl, Andreas Horn, Brian L. Edlow
Mapping the subcortical connectivity of the human default mode network. NeuroImage 245 (2021)
Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. CoRR (2021)
Benjamin Billot, Stefano Cerri, Koen Van Leemput, Adrian V. Dalca, Juan Eugenio Iglesias
Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs. ISBI (2021)
Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes, Martin Bretzner, Markus D. Schirmer, Anne-Katrin Giese, Adrian V. Dalca, Polina Golland, Natalia S. Rost
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels. CoRR (2021)
Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
End-to-End Sequential Sampling and Reconstruction for MR Imaging. CoRR (2021)
Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu
Hyper-Convolution Networks for Biomedical Image Segmentation. CoRR (2021)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks. MLMIR@MICCAI (2021)
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
Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer - ASEG and SAMSEG. NeuroImage 237 (2021)
Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias
SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution. CoRR (2021)
Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca
Learning Mri Contrast-Agnostic Registration. ISBI (2021)
Divya Varadarajan, Katherine L. Bouman, André J. W. van der Kouwe, Bruce Fischl, Adrian V. Dalca
Unsupervised learning of MRI tissue properties using MRI physics models. CoRR (2021)
Douglas N. Greve, Benjamin Billot, Devani Cordero, Andrew Hoopes, Malte Hoffmann, Adrian V. Dalca, Bruce Fischl, Juan Eugenio Iglesias, Jean C. Augustinack
A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images. NeuroImage 244 (2021)
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
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR (2021)
Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. DGM4MICCAI/DALI@MICCAI (2021)
Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
End-to-End Sequential Sampling and Reconstruction for MRI. ML4H@NeurIPS (2021)
Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca
HyperMorph: Amortized Hyperparameter Learning for Image Registration. IPMI (2021)
Neel Dey, Mengwei Ren, Adrian V. Dalca, Guido Gerig
Generative Adversarial Registration for Improved Conditional Deformable Templates. ICCV (2021)
Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction. CoRR (2021)
Neel Dey, Mengwei Ren, Adrian V. Dalca, Guido Gerig
Generative Adversarial Registration for Improved Conditional Deformable Templates. CoRR (2021)
Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
Learning to predict with supporting evidence: applications to clinical risk prediction. CHIL (2021)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks. CoRR (2021)
Marianne Rakic, John V. Guttag, Adrian V. Dalca
Anatomical Predictions using Subject-Specific Medical Data. CoRR (2020)
Cagla Deniz Bahadir, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI. IEEE Trans. Computational Imaging 6 (2020)
Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias
Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast. CoRR (2020)
Kathleen M. Lewis, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
Fast learning-based registration of sparse 3D clinical images. CHIL (2020)
Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias
Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast. MICCAI (7) (2020)
Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
Learning Conditional Deformable Shape Templates for Brain Anatomy. MLMI@MICCAI (2020)
Jieyu Cheng, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Alzheimer's Disease Neuroimaging Initiative
Cortical surface registration using unsupervised learning. NeuroImage 221 (2020)
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
3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology. MICCAI (5) (2020)
He Sun, Adrian V. Dalca, Katherine L. Bouman
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. CoRR (2020)
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CoRR (2020)
Jieyu Cheng, Adrian V. Dalca, Lilla Zöllei
Unbiased Atlas Construction for Neonatal Cortical Surfaces via Unsupervised Learning. ASMUS/PIPPI@MICCAI (2020)
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu
An Auto-Encoder Strategy for Adaptive Image Segmentation. CoRR (2020)
Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca
Learning Multi-Modal Image Registration without Real Data. CoRR (2020)
Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca
A Learning Strategy for Contrast-agnostic MRI Segmentation. MIDL (2020)
Benjamin Billot, Martina Bocchetta, Emily Todd, Adrian V. Dalca, Jonathan D. Rohrer, Juan Eugenio Iglesias
Automated segmentation of the hypothalamus and associated subunits in brain MRI. NeuroImage 223 (2020)
Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland
Joint Frequency- and Image-Space Learning for Fourier Imaging. CoRR (2020)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data. MLMIR@MICCAI (2020)
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CVPR (2020)
Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland
Predictive Modeling of Anatomy with Genetic and Clinical Data. CoRR (2020)
Henry F. J. Tregidgo, Adria 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
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology. CoRR (2020)
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
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. Medical Image Anal. 63 (2020)
Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca
ML4H Abstract Track 2019. CoRR (2020)
He Sun, Adrian V. Dalca, Katherine L. Bouman
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. ICCP (2020)
Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca
A Learning Strategy for Contrast-agnostic MRI Segmentation. CoRR (2020)
Jieyu Cheng, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei
Cortical surface registration using unsupervised learning. CoRR (2020)
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu
An Auto-Encoder Strategy for Adaptive Image Segmentation. MIDL (2020)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data. CoRR (2020)
Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CoRR (2019)
Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
Unsupervised deep learning for Bayesian brain MRI segmentation. CoRR (2019)
Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu
Learning Conditional Deformable Templates with Convolutional Networks. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Adrian V. Dalca