Adrian V. Dalca

178 papers A* 16A 2B 2Misc 1Journal 107Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AtlasMorph: Learning conditional deformable templates for brain MRI. Medical Image Anal. Marianne Rakic, Andrew Hoopes, S. Mazdak Abulnaga, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2025	J	`jnl`	AtlasMorph: Learning conditional deformable templates for brain MRI. CoRR Marianne Rakic, Andrew Hoopes, S. Mazdak Abulnaga, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2025	—	`conf`	Deep infant brain segmentation from multi-contrast MRI. IEEECONF Malte Hoffmann, Lilla Zöllei, Adrian V. Dalca
2025	J	`jnl`	Deep infant brain segmentation from multi-contrast MRI. CoRR Malte Hoffmann, Lilla Zöllei, Adrian V. Dalca
2025	—	`conf`	End-to-End Cortical Surface Reconstruction from Clinical Magnetic Resonance Images. MLMI@MICCAI Jesper Duemose Nielsen, Karthik Gopinath, Andrew Hoopes, Adrian V. Dalca, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Axel Thielscher, Juan Eugenio Iglesias, Oula Puonti
2025	J	`jnl`	End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images. CoRR Jesper Duemose Nielsen, Karthik Gopinath, Andrew Hoopes, Adrian V. Dalca, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Axel Thielscher, Juan Eugenio Iglesias, Oula Puonti
2025	J	`jnl`	JParc: Joint cortical surface parcellation with registration. CoRR Jian Li, Karthik Gopinath, Brian L. Edlow, Adrian V. Dalca, Bruce Fischl
2025	—	`conf`	Learning Accurate Rigid Registration for Longitudinal Brain MRI from Synthetic Data. ISBI Jingru Fu, Adrian V. Dalca, Bruce Fischl, Rodrigo Moreno, Malte Hoffmann
2025	A*	`conf`	Learning General-purpose Biomedical Volume Representations using Randomized Synthesis. ICLR Neel Dey, Benjamin Billot, Hallee E. Wong, Clinton J. Wang, Mengwei Ren, Ellen Grant, Adrian V. Dalca, Polina Golland
2025	J	`jnl`	Learning accurate rigid registration for longitudinal brain MRI from synthetic data. CoRR Jingru Fu, Adrian V. Dalca, Bruce Fischl, Rodrigo Moreno, Malte Hoffmann
2025	A*	`conf`	MultiMorph: On-demand Atlas Construction. CVPR S. Mazdak Abulnaga, Andrew Hoopes, Neel Dey, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca
2025	J	`jnl`	MultiMorph: On-demand Atlas Construction. CoRR S. Mazdak Abulnaga, Andrew Hoopes, Neel Dey, Malte Hoffmann, Marianne Rakic, Bruce Fischl, John V. Guttag, Adrian V. Dalca
2025	J	`jnl`	Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains. CoRR Marianne Rakic, Siyu Gai, Etienne Chollet, John V. Guttag, Adrian V. Dalca
2025	J	`jnl`	Supervision by Denoising. IEEE Trans. Pattern Anal. Mach. Intell. Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Christopher A. Metzler, Bruce Fischl, Juan Eugenio Iglesias
2025	J	`jnl`	Unified Brain Surface and Volume Registration. CoRR S. Mazdak Abulnaga, Andrew Hoopes, Malte Hoffmann, Robin Magnet, Maks Ovsjanikov, Lilla Zöllei, John V. Guttag, Bruce Fischl, Adrian V. Dalca
2024	A	`conf`	AnyStar: Domain randomized universal star-convex 3D instance segmentation. WACV Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland
2024	—	`conf`	Boosting Skull-Stripping Performance for Pediatric Brain Images. ISBI William Kelley, Nathan Ngo, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Malte Hoffmann
2024	J	`jnl`	Boosting Skull-Stripping Performance for Pediatric Brain Images. CoRR William Kelley, Nathan Ngo, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Malte Hoffmann
2024	J	`jnl`	BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration. CoRR Alan Q. Wang, Rachit Saluja, Heejong Kim, Xinzi He, Adrian V. Dalca, Mert R. Sabuncu
2024	J	`jnl`	JOSA: Joint surface-based registration and atlas construction of brain geometry and function. Medical Image Anal. Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Adrian V. Dalca, Bruce Fischl
2024	J	`jnl`	Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis. CoRR Neel Dey, Benjamin Billot, Hallee E. Wong, Clinton J. Wang, Mengwei Ren, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland
2024	J	`jnl`	Learning Task-Specific Strategies for Accelerated MRI. IEEE Trans. Computational Imaging Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
2024	A*	`conf`	Magnitude Invariant Parametrizations Improve Hypernetwork Learning. ICLR Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2024	J	`jnl`	MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance. CoRR Hallee E. Wong, Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2024	—	`conf`	ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image. ECCV (40) Hallee E. Wong, Marianne Rakic, John V. Guttag, Adrian V. Dalca
2024	J	`jnl`	Tyche: Stochastic In-Context Learning for Medical Image Segmentation. CoRR Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth A. Cimini, John V. Guttag, Adrian V. Dalca
2024	A*	`conf`	Tyche: Stochastic in-Context Learning for Medical Image Segmentation. CVPR Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth A. Cimini, John V. Guttag, Adrian V. Dalca
2024	J	`jnl`	VoxelPrompt: A Vision-Language Agent for Grounded Medical Image Analysis. CoRR Andrew Hoopes, Victor Ion Butoi, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	A robust and interpretable deep learning framework for multi-modal registration via keypoints. CoRR Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
2023	J	`jnl`	A robust and interpretable deep learning framework for multi-modal registration via keypoints. Medical Image Anal. Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
2023	J	`jnl`	Amortized Learning of Dynamic Feature Scaling for Image Segmentation. CoRR Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	Anatomy-aware and acquisition-agnostic joint registration with SynthMorph. CoRR Malte Hoffmann, Andrew Hoopes, Douglas N. Greve, Bruce Fischl, Adrian V. Dalca
2023	B	`conf`	Anatomy-specific acquisition-agnostic affine registration learned from fictitious images. Image Processing Malte Hoffmann, Andrew Hoopes, Bruce Fischl, Adrian V. Dalca
2023	—	`conf`	AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography. MICCAI (7) 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
2023	J	`jnl`	AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography. CoRR 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
2023	J	`jnl`	AnyStar: Domain randomized universal star-convex 3D instance segmentation. CoRR Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland
2023	—	`conf`	Data Consistent Deep Rigid MRI Motion Correction. MIDL Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland
2023	J	`jnl`	Data Consistent Deep Rigid MRI Motion Correction. CoRR Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland
2023	—	`conf`	Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu
2023	J	`jnl`	Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. CoRR Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu
2023	J	`jnl`	Generating Image-Specific Text Improves Fine-grained Image Classification. CoRR Emily Mu, Kathleen M. Lewis, Adrian V. Dalca, John V. Guttag
2023	J	`jnl`	Hyper-convolutions via implicit kernels for medical image analysis. Medical Image Anal. Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2023	J	`jnl`	JOSA: Joint surface-based registration and atlas construction of brain geometry and function. CoRR Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Adrian V. Dalca, Bruce Fischl
2023	—	`conf`	Joint cortical registration of geometry and function using semi-supervised learning. MIDL Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Bruce Fischl, Adrian V. Dalca
2023	J	`jnl`	Joint cortical registration of geometry and function using semi-supervised learning. CoRR Jian Li, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Bruce Fischl, Adrian V. Dalca
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 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
2023	J	`jnl`	Learning Task-Specific Strategies for Accelerated MRI. CoRR Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
2023	J	`jnl`	Multi-Head Graph Convolutional Network for Structural Connectome Classification. CoRR Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj
2023	—	`conf`	Multi-head Graph Convolutional Network for Structural Connectome Classification. GRAIL/OCELOT@MICCAI Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj
2023	A*	`conf`	Neuralizer: General Neuroimage Analysis without Re-Training. CVPR Steffen Czolbe, Adrian V. Dalca
2023	J	`jnl`	Neuralizer: General Neuroimage Analysis without Re-Training. CoRR Steffen Czolbe, Adrian V. Dalca
2023	J	`jnl`	Non-Proportional Parametrizations for Stable Hypernetwork Learning. CoRR Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2023	A*	`conf`	Scale-Space Hypernetworks for Efficient Biomedical Image Analysis. NeurIPS Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image. CoRR Hallee E. Wong, Marianne Rakic, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining. Medical Image Anal. Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias
2023	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings UNSURE@MICCAI Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Raghav Mehta, Chen Qin, William M. Wells III
2023	A*	`conf`	UniverSeg: Universal Medical Image Segmentation. ICCV Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	UniverSeg: Universal Medical Image Segmentation. CoRR Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2022	J	`jnl`	Computing Multiple Image Reconstructions with a Single Hypernetwork. CoRR Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2022	A	`conf`	Hyper-Convolution Networks for Biomedical Image Segmentation. WACV Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu
2022	J	`jnl`	Hyper-Convolutions via Implicit Kernels for Medical Imaging. CoRR Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2022	—	`conf`	KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection. MIDL Evan M. Yu, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2022	J	`jnl`	Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease. Medical Image Anal. Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland
2022	J	`jnl`	Learning the Effect of Registration Hyperparameters with HyperMorph. CoRR Andrew Hoopes, Malte Hoffmann, Douglas N. Greve, Bruce Fischl, John V. Guttag, Adrian V. Dalca
2022	J	`jnl`	SUD: Supervision by Denoising for Medical Image Segmentation. CoRR Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias
2022	—	`conf`	SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. WBIR Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
2022	J	`jnl`	SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. CoRR Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl
2022	J	`jnl`	SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images. IEEE Trans. Medical Imaging Malte Hoffmann, Benjamin Billot, Douglas N. Greve, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca
2022	J	`jnl`	SynthStrip: Skull-Stripping for Any Brain Image. CoRR Andrew Hoopes, Jocelyn S. Mora, Adrian V. Dalca, Bruce Fischl, Malte Hoffmann
2022	J	`jnl`	SynthStrip: skull-stripping for any brain image. NeuroImage Andrew Hoopes, Jocelyn S. Mora, Adrian V. Dalca, Bruce Fischl, Malte Hoffmann
2022	—	`conf`	TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces. MIDL Andrew Hoopes, Juan Eugenio Iglesias, Bruce Fischl, Douglas N. Greve, Adrian V. Dalca
2022	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings UNSURE@MICCAI Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III
2021	—	`conf`	3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. DGM4MICCAI/DALI@MICCAI Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland
2021	J	`jnl`	3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. CoRR Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland
2021	J	`jnl`	A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images. NeuroImage Douglas N. Greve, Benjamin Billot, Devani Cordero, Andrew Hoopes, Malte Hoffmann, Adrian V. Dalca, Bruce Fischl, Juan Eugenio Iglesias, Jean C. Augustinack
2021	J	`jnl`	End-to-End Sequential Sampling and Reconstruction for MR Imaging. CoRR Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
2021	—	`conf`	End-to-End Sequential Sampling and Reconstruction for MRI. ML4H@NeurIPS Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
2021	A*	`conf`	Generative Adversarial Registration for Improved Conditional Deformable Templates. ICCV Neel Dey, Mengwei Ren, Adrian V. Dalca, Guido Gerig
2021	J	`jnl`	Generative Adversarial Registration for Improved Conditional Deformable Templates. CoRR Neel Dey, Mengwei Ren, Adrian V. Dalca, Guido Gerig
2021	J	`jnl`	Hyper-Convolution Networks for Biomedical Image Segmentation. CoRR Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu
2021	—	`conf`	HyperMorph: Amortized Hyperparameter Learning for Image Registration. IPMI Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca
2021	J	`jnl`	HyperMorph: Amortized Hyperparameter Learning for Image Registration. CoRR Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca
2021	—	`conf`	HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks. MLMIR@MICCAI Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2021	J	`jnl`	Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels. CoRR Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes, Martin Bretzner, Markus D. Schirmer, Anne-Katrin Giese, Adrian V. Dalca, Polina Golland, Natalia S. Rost
2021	—	`conf`	Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs. ISBI Benjamin Billot, Stefano Cerri, Koen Van Leemput, Adrian V. Dalca, Juan Eugenio Iglesias
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR 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
2021	—	`conf`	Learning Mri Contrast-Agnostic Registration. ISBI Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca
2021	J	`jnl`	Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction. CoRR Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
2021	—	`conf`	Learning to predict with supporting evidence: applications to clinical risk prediction. CHIL Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
2021	J	`jnl`	Mapping the subcortical connectivity of the human default mode network. NeuroImage Jian Li, William H. Curley, Bastien Guérin, Darin D. Dougherty, Adrian V. Dalca, Bruce Fischl, Andreas Horn, Brian L. Edlow
2021	J	`jnl`	Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks. CoRR Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2021	J	`jnl`	Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer - ASEG and SAMSEG. NeuroImage 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
2021	J	`jnl`	SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution. CoRR Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias
2021	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021 Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings UNSURE/PIPPI@MICCAI Carole H. Sudre, Roxane Licandro, Christian F. Baumgartner, Andrew Melbourne, Adrian V. Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents-Barrena, William M. Wells III, Christopher K. Macgowan
2021	J	`jnl`	Unsupervised learning of MRI tissue properties using MRI physics models. CoRR Divya Varadarajan, Katherine L. Bouman, André J. W. van der Kouwe, Bruce Fischl, Adrian V. Dalca
2020	—	`conf`	3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology. MICCAI (5) 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, C. Dirk Keene, Juan Eugenio Iglesias
2020	J	`jnl`	3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology. CoRR 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, C. Dirk Keene, Juan Eugenio Iglesias
2020	—	`conf`	A Learning Strategy for Contrast-agnostic MRI Segmentation. MIDL Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca
2020	J	`jnl`	A Learning Strategy for Contrast-agnostic MRI Segmentation. CoRR Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca
2020	—	`conf`	An Auto-Encoder Strategy for Adaptive Image Segmentation. MIDL Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu
2020	J	`jnl`	An Auto-Encoder Strategy for Adaptive Image Segmentation. CoRR Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu
2020	J	`jnl`	Anatomical Predictions using Subject-Specific Medical Data. CoRR Marianne Rakic, John V. Guttag, Adrian V. Dalca
2020	J	`jnl`	Automated segmentation of the hypothalamus and associated subunits in brain MRI. NeuroImage Benjamin Billot, Martina Bocchetta, Emily Todd, Adrian V. Dalca, Jonathan D. Rohrer, Juan Eugenio Iglesias
2020	J	`jnl`	Cortical surface registration using unsupervised learning. CoRR Jieyu Cheng, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei
2020	J	`jnl`	Cortical surface registration using unsupervised learning. NeuroImage Jieyu Cheng, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Alzheimer's Disease Neuroimaging Initiative
2020	J	`jnl`	Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI. IEEE Trans. Computational Imaging Cagla Deniz Bahadir, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2020	—	`conf`	Fast learning-based registration of sparse 3D clinical images. CHIL Kathleen M. Lewis, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
2020	J	`jnl`	Joint Frequency- and Image-Space Learning for Fourier Imaging. CoRR Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland
2020	—	`conf`	Learning Conditional Deformable Shape Templates for Brain Anatomy. MLMI@MICCAI Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
2020	J	`jnl`	Learning Multi-Modal Image Registration without Real Data. CoRR Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca
2020	B	`conf`	Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. ICCP He Sun, Adrian V. Dalca, Katherine L. Bouman
2020	J	`jnl`	Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. CoRR He Sun, Adrian V. Dalca, Katherine L. Bouman
2020	J	`jnl`	ML4H Abstract Track 2019. CoRR Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Tristan Naumann, Brett K. Beaulieu-Jones, Adrian V. Dalca
2020	J	`jnl`	Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. Medical Image Anal. 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
2020	—	`conf`	Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data. MLMIR@MICCAI Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2020	J	`jnl`	Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data. CoRR Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2020	A*	`conf`	Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CVPR Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
2020	J	`jnl`	Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CoRR Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
2020	—	`conf`	Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast. MICCAI (7) Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias
2020	J	`jnl`	Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast. CoRR Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias
2020	J	`jnl`	Predictive Modeling of Anatomy with Genetic and Clinical Data. CoRR Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland
2020	—	`conf`	Unbiased Atlas Construction for Neonatal Cortical Surfaces via Unsupervised Learning. ASMUS/PIPPI@MICCAI Jieyu Cheng, Adrian V. Dalca, Lilla Zöllei
2020	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings UNSURE/GRAIL@MICCAI Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, Aristeidis Sotiras, Bartlomiej W. Papiez, Enzo Ferrante, Sarah Parisot
2019	J	`jnl`	Adaptive Compressed Sensing MRI with Unsupervised Learning. CoRR Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu
2019	J	`jnl`	Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CoRR Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu
2019	J	`jnl`	Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. CoRR 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
2019	J	`jnl`	Confidence Calibration for Convolutional Neural Networks Using Structured Dropout. CoRR Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu
2019	A*	`conf`	Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. CVPR Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
2019	J	`jnl`	Data augmentation using learned transforms for one-shot medical image segmentation. CoRR Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
2019	J	`jnl`	Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation. CoRR Hyeon Woo Lee, Mert R. Sabuncu, Adrian V. Dalca
2019	A*	`conf`	Learning Conditional Deformable Templates with Convolutional Networks. NeurIPS Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu
2019	J	`jnl`	Learning Conditional Deformable Templates with Convolutional Networks. CoRR Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu
2019	—	`conf`	Learning-Based Optimization of the Under-Sampling Pattern in MRI. IPMI Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu
2019	J	`jnl`	Learning-based Optimization of the Under-sampling Pattern in MRI. CoRR Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu
2019	—	`conf`	Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? ML4H@NeurIPS 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
2019	—	`ed.`	Machine Learning for Health Workshop, ML4H@NeurIPS 2019, Vancouver, BC, Canada, 13 December 2019 ML4H@NeurIPS Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Brett K. Beaulieu-Jones
2019	J	`jnl`	Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2019	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures - First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings UNSURE/CLIP@MICCAI Hayit Greenspan, Ryutaro Tanno, Marius Erdt, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Carole H. Sudre, William M. Wells III, Klaus Drechsler, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester
2019	J	`jnl`	Unsupervised Data Imputation via Variational Inference of Deep Subspaces. CoRR Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu
2019	—	`conf`	Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. MICCAI (3) Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
2019	J	`jnl`	Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces. CoRR Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2019	J	`jnl`	Unsupervised deep learning for Bayesian brain MRI segmentation. CoRR Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
2019	J	`jnl`	Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. Medical Image Anal. Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2019	A*	`conf`	Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. ICCV Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman
2019	J	`jnl`	Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. CoRR Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman
2019	J	`jnl`	VoxelMorph: A Learning Framework for Deformable Medical Image Registration. IEEE Trans. Medical Imaging Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	A*	`conf`	An Unsupervised Learning Model for Deformable Medical Image Registration. CVPR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	J	`jnl`	An Unsupervised Learning Model for Deformable Medical Image Registration. CoRR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	A*	`conf`	Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CVPR Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu
2018	J	`jnl`	Fast Learning-based Registration of Sparse Clinical Images. CoRR Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca
2018	A*	`conf`	Gaussian Process Prior Variational Autoencoders. NeurIPS Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi
2018	J	`jnl`	Gaussian Process Prior Variational Autoencoders. CoRR Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi
2018	—	`ed.`	Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities - Second International Workshop, GRAIL 2018 - and - First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings GRAIL/Beyond-MIC@MICCAI Danail Stoyanov, Zeike Taylor, Enzo Ferrante, Adrian V. Dalca, Anne L. Martel, Lena Maier-Hein, Sarah Parisot, Aristeidis Sotiras, Bartlomiej W. Papiez, Mert R. Sabuncu, Li Shen
2018	—	`conf`	Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. DLMIA/ML-CDS@MICCAI Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland
2018	J	`jnl`	Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. CoRR Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland
2018	J	`jnl`	Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR 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
2018	J	`jnl`	Medical Image Imputation from Image Collections. CoRR Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2018	J	`jnl`	Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements. IEEE Trans. Computational Imaging Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman
2018	A*	`conf`	Synthesizing Images of Humans in Unseen Poses. CVPR Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag
2018	J	`jnl`	Synthesizing Images of Humans in Unseen Poses. CoRR Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag
2018	—	`conf`	Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. MICCAI (1) Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2018	J	`jnl`	Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. CoRR Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2018	J	`jnl`	VoxelMorph: A Learning Framework for Deformable Medical Image Registration. CoRR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2017	—	`conf`	Frequency Diffeomorphisms for Efficient Image Registration. IPMI Miaomiao Zhang, Ruizhi Liao, Adrian V. Dalca, Esra Abaci Turk, Jie Luo, Patricia Ellen Grant, Polina Golland
2017	—	`ed.`	Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings GRAIL/MFCA/MICGen@MICCAI M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer
2017	—	`ed.`	Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings CMMI/RAMBO/SWITCH@MICCAI M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian V. Dalca, Roland Wiest, Wiro J. Niessen, Bart J. Emmer
2017	—	`conf`	Population Based Image Imputation. IPMI Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2017	J	`jnl`	Reconstructing Video from Interferometric Measurements of Time-Varying Sources. CoRR Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman
2016	—	`conf`	Patch-Based Discrete Registration of Clinical Brain Images. Patch-MI@MICCAI Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland
2015	—	`conf`	Interactive Whole-Heart Segmentation in Congenital Heart Disease. MICCAI (3) Danielle F. Pace, Adrian V. Dalca, Tal Geva, Andrew J. Powell, Mehdi Hedjazi Moghari, Polina Golland
2015	—	`conf`	Predictive Modeling of Anatomy with Genetic and Clinical Data. MICCAI (3) Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland
2013	—	`conf`	Joint Modeling of Imaging and Genetics. IPMI Nematollah Batmanghelich, Adrian V. Dalca, Mert R. Sabuncu, Polina Golland
2013	—	`conf`	Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke. MBIA Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland
2011	—	`conf`	Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters. MICCAI (3) Adrian V. Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud J. Schmidt, Polina Golland
2010	J	`jnl`	Genome variation discovery with high-throughput sequencing data. Briefings Bioinform. Adrian V. Dalca, Michael Brudno
2010	J	`jnl`	VARiD: A variation detection framework for color-space and letter-space platforms. Bioinform. Adrian V. Dalca, Stephen M. Rumble, Samuel Levy, Michael Brudno
2009	J	`jnl`	SHRiMP: Accurate Mapping of Short Color-space Reads. PLoS Comput. Biol. Stephen M. Rumble, Phil Lacroute, Adrian V. Dalca, Marc Fiume, Arend Sidow, Michael Brudno
2008	Misc	`conf`	FRESCO: Flexible Alignment with Rectangle Scoring Schemes. Pacific Symposium on Biocomputing Adrian V. Dalca, Michael Brudno