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ORCIDAdrian V. Dalca
Adrian Vasile Dalca
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- affiliation: Harvard Medical School, USA
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2020 – today
- 2024
[c54]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: 7578-7588- [i70]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 abs/2401.13650 (2024) - [i69]William Kelley, Nathan Ngo, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Malte Hoffmann:
Boosting Skull-Stripping Performance for Pediatric Brain Images. CoRR abs/2402.16634 (2024) - 2023
- [j22]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: 102789 (2023) - [j21]Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Hyper-convolutions via implicit kernels for medical image analysis. Medical Image Anal. 86: 102796 (2023) - [j20]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: 102962 (2023) - [j19]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): 697-712 (2023) - [c53]Steffen Czolbe, Adrian V. Dalca:
Neuralizer: General Neuroimage Analysis without Re-Training. CVPR 2023: 6217-6230 - [c52]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: 21381-21394 - [c51]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: 27-36 - [c50]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: 140-150 - [c49]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: 770-780 - [c48]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: 368-381 - [c47]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: 862-876 - [c46]Malte Hoffmann, Andrew Hoopes, Bruce Fischl, Adrian V. Dalca:
Anatomy-specific acquisition-agnostic affine registration learned from fictitious images. Medical Imaging: Image Processing 2023 - [c45]Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
Scale-Space Hypernetworks for Efficient Biomedical Image Analysis. NeurIPS 2023 - [e9]Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Raghav Mehta, Chen Qin, William M. Wells:
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. Lecture Notes in Computer Science 14291, Springer 2023, ISBN 978-3-031-44335-0 [contents] - [i68]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 abs/2301.10365 (2023) - [i67]Malte Hoffmann, Andrew Hoopes, Douglas N. Greve, Bruce Fischl, Adrian V. Dalca:
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph. CoRR abs/2301.11329 (2023) - [i66]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 abs/2303.01592 (2023) - [i65]Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
Amortized Learning of Dynamic Feature Scaling for Image Segmentation. CoRR abs/2304.05448 (2023) - [i64]Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
UniverSeg: Universal Medical Image Segmentation. CoRR abs/2304.06131 (2023) - [i63]Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca:
Non-Proportional Parametrizations for Stable Hypernetwork Learning. CoRR abs/2304.07645 (2023) - [i62]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 abs/2304.09941 (2023) - [i61]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 abs/2304.12507 (2023) - [i60]Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj:
Multi-Head Graph Convolutional Network for Structural Connectome Classification. CoRR abs/2305.02199 (2023) - [i59]Steffen Czolbe, Adrian V. Dalca:
Neuralizer: General Neuroimage Analysis without Re-Training. CoRR abs/2305.02644 (2023) - [i58]Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu:
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. CoRR abs/2307.03266 (2023) - [i57]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 abs/2307.07044 (2023) - [i56]Emily Mu, Kathleen M. Lewis, Adrian V. Dalca, John V. Guttag:
Generating Image-Specific Text Improves Fine-grained Image Classification. CoRR abs/2307.11315 (2023) - [i55]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 abs/2310.05445 (2023) - [i54]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 abs/2311.08544 (2023) - [i53]Hallee E. Wong, Marianne Rakic, John V. Guttag, Adrian V. Dalca:
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image. CoRR abs/2312.07381 (2023) - 2022
- [j18]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: 102469 (2022) - [j17]Andrew Hoopes, Jocelyn S. Mora, Adrian V. Dalca, Bruce Fischl, Malte Hoffmann:
SynthStrip: skull-stripping for any brain image. NeuroImage 260: 119474 (2022) - [j16]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:
How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics 20(4): 943-964 (2022) - [j15]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): 543-558 (2022) - [c44]Andrew Hoopes, Juan Eugenio Iglesias, Bruce Fischl, Douglas N. Greve, Adrian V. Dalca:
TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces. MIDL 2022: 508-520 - [c43]Evan M. Yu, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection. MIDL 2022: 1482-1503 - [c42]Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu:
Hyper-Convolution Networks for Biomedical Image Segmentation. WACV 2022: 1989-1998 - [c41]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: 103-115 - [e8]Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III:
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. Lecture Notes in Computer Science 13563, Springer 2022, ISBN 978-3-031-16748-5 [contents] - [i52]Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Hyper-Convolutions via Implicit Kernels for Medical Imaging. CoRR abs/2202.02701 (2022) - [i51]Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias:
SUD: Supervision by Denoising for Medical Image Segmentation. CoRR abs/2202.02952 (2022) - [i50]Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Computing Multiple Image Reconstructions with a Single Hypernetwork. CoRR abs/2202.11009 (2022) - [i49]Andrew Hoopes, Jocelyn S. Mora, Adrian V. Dalca, Bruce Fischl, Malte Hoffmann:
SynthStrip: Skull-Stripping for Any Brain Image. CoRR abs/2203.09974 (2022) - [i48]Andrew Hoopes, Malte Hoffmann, Douglas N. Greve, Bruce Fischl, John V. Guttag, Adrian V. Dalca:
Learning the Effect of Registration Hyperparameters with HyperMorph. CoRR abs/2203.16680 (2022) - [i47]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 abs/2205.07399 (2022) - 2021
- [j14]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: 118113 (2021) - [j13]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: 118610 (2021) - [j12]Jian Li, William H. Curley, Bastien Guérin, 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: 118758 (2021) - [c40]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: 95-104 - [c39]Neel Dey, Mengwei Ren, Adrian V. Dalca, Guido Gerig:
Generative Adversarial Registration for Improved Conditional Deformable Templates. ICCV 2021: 3909-3921 - [c38]Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca:
HyperMorph: Amortized Hyperparameter Learning for Image Registration. IPMI 2021: 3-17 - [c37]Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca:
Learning Mri Contrast-Agnostic Registration. ISBI 2021: 899-903 - [c36]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: 1971-1974 - [c35]Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks. MLMIR@MICCAI 2021: 3-13 - [c34]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: 24-34 - [c33]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: 261-281 - [e7]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:
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. Lecture Notes in Computer Science 12959, Springer 2021, ISBN 978-3-030-87734-7 [contents] - [i46]Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca:
HyperMorph: Amortized Hyperparameter Learning for Image Registration. CoRR abs/2101.01035 (2021) - [i45]Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks. CoRR abs/2101.02194 (2021) - [i44]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 abs/2103.02768 (2021) - [i43]Neel Dey, Mengwei Ren, Adrian V. Dalca, Guido Gerig:
Generative Adversarial Registration for Improved Conditional Deformable Templates. CoRR abs/2105.04349 (2021) - [i42]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 abs/2105.06460 (2021) - [i41]Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu:
Hyper-Convolution Networks for Biomedical Image Segmentation. CoRR abs/2105.10559 (2021) - [i40]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 abs/2107.02704 (2021) - [i39]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 abs/2107.09559 (2021) - [i38]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 abs/2107.09700 (2021) - [i37]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 abs/2112.04489 (2021) - [i36]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 abs/2112.06693 (2021) - 2020
- [j11]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: 101698 (2020) - [j10]Jieyu Cheng, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei, Alzheimer's Disease Neuroimaging Initiative:
Cortical surface registration using unsupervised learning. NeuroImage 221: 117161 (2020) - [j9]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: 117287 (2020) - [j8]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: 1139-1152 (2020) - [c32]Kathleen M. Lewis, Natalia S. Rost, John V. Guttag, Adrian V. Dalca:
Fast learning-based registration of sparse 3D clinical images. CHIL 2020: 90-98 - [c31]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: 8432-8442 - [c30]He Sun, Adrian V. Dalca, Katherine L. Bouman:
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. ICCP 2020: 1-12 - [c29]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: 27-37 - [c28]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: 177-187 - [c27]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: 204-214 - [c26]Jieyu Cheng, Adrian V. Dalca, Lilla Zöllei:
Unbiased Atlas Construction for Neonatal Cortical Surfaces via Unsupervised Learning. ASMUS/PIPPI@MICCAI 2020: 334-342 - [c25]Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu:
Learning Conditional Deformable Shape Templates for Brain Anatomy. MLMI@MICCAI 2020: 353-362 - [c24]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: 75-93 - [c23]Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu:
An Auto-Encoder Strategy for Adaptive Image Segmentation. MIDL 2020: 881-891 - [e6]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:
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. Lecture Notes in Computer Science 12443, Springer 2020, ISBN 978-3-030-60364-9 [contents] - [i35]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 abs/2001.01026 (2020) - [i34]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 abs/2002.01584 (2020) - [i33]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 abs/2003.01995 (2020) - [i32]He Sun, Adrian V. Dalca, Katherine L. Bouman:
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. CoRR abs/2003.10424 (2020) - [i31]Jieyu Cheng, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei:
Cortical surface registration using unsupervised learning. CoRR abs/2004.04617 (2020) - [i30]Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias:
Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast. CoRR abs/2004.10221 (2020) - [i29]Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca:
Learning Multi-Modal Image Registration without Real Data. CoRR abs/2004.10282 (2020) - [i28]Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu:
An Auto-Encoder Strategy for Adaptive Image Segmentation. CoRR abs/2004.13903 (2020) - [i27]Marianne Rakic, John V. Guttag, Adrian V. Dalca:
Anatomical Predictions using Subject-Specific Medical Data. CoRR abs/2006.00090 (2020) - [i26]Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland:
Joint Frequency- and Image-Space Learning for Fourier Imaging. CoRR abs/2007.01441 (2020) - [i25]Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data. CoRR abs/2007.14979 (2020) - [i24]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 abs/2009.05596 (2020) - [i23]Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland:
Predictive Modeling of Anatomy with Genetic and Clinical Data. CoRR abs/2010.04757 (2020)
2010 – 2019
- 2019
- [j7]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. Medical Image Anal. 57: 226-236 (2019) - [j6]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging 38(2): 504-514 (2019) - [j5]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
VoxelMorph: A Learning Framework for Deformable Medical Image Registration. IEEE Trans. Medical Imaging 38(8): 1788-1800 (2019) - [c22]Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. CVPR 2019: 8543-8553 - [c21]Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. ICCV 2019: 171-180 - [c20]Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu:
Learning-Based Optimization of the Under-Sampling Pattern in MRI. IPMI 2019: 780-792 - [c19]Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias:
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. MICCAI (3) 2019: 356-365 - [c18]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:
Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? ML4H@NeurIPS 2019: 1-9 - [c17]Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu:
Learning Conditional Deformable Templates with Convolutional Networks. NeurIPS 2019: 804-816 - [e5]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:
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. Lecture Notes in Computer Science 11840, Springer 2019, ISBN 978-3-030-32688-3 [contents] - [e4]Adrian V. Dalca, Matthew B. A. McDermott, Emily Alsentzer, Samuel G. Finlayson, Michael Oberst, Fabian Falck, Brett K. Beaulieu-Jones:
Machine Learning for Health Workshop, ML4H@NeurIPS 2019, Vancouver, BC, Canada, 13 December 2019. Proceedings of Machine Learning Research 116, PMLR 2019 [contents] - [i22]Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu:
Learning-based Optimization of the Under-sampling Pattern in MRI. CoRR abs/1901.01960 (2019) - [i21]Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Data augmentation using learned transforms for one-shot medical image segmentation. CoRR abs/1902.09383 (2019) - [i20]Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CoRR abs/1903.03148 (2019) - [i19]Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Unsupervised Data Imputation via Variational Inference of Deep Subspaces. CoRR abs/1903.03503 (2019) - [i18]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces. CoRR abs/1903.03545 (2019) - [i17]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 abs/1904.11319 (2019) - [i16]Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu:
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout. CoRR abs/1906.09551 (2019) - [i15]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:
Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. CoRR abs/1907.00695 (2019) - [i14]Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu:
Adaptive Compressed Sensing MRI with Unsupervised Learning. CoRR abs/1907.11374 (2019) - [i13]Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu:
Learning Conditional Deformable Templates with Convolutional Networks. CoRR abs/1908.02738 (2019) - [i12]Hyeon Woo Lee, Mert R. Sabuncu, Adrian V. Dalca:
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation. CoRR abs/1908.04466 (2019) - [i11]Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman:
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. CoRR abs/1909.00475 (2019) - 2018
- [j4]Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman:
Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements. IEEE Trans. Computational Imaging 4(4): 512-527 (2018) - [c16]Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag:
Synthesizing Images of Humans in Unseen Poses. CVPR 2018: 8340-8348 - [c15]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
An Unsupervised Learning Model for Deformable Medical Image Registration. CVPR 2018: 9252-9260 - [c14]Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CVPR 2018: 9290-9299 - [c13]Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland:
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. DLMIA/ML-CDS@MICCAI 2018: 334-342 - [c12]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. MICCAI (1) 2018: 729-738 - [c11]Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi:
Gaussian Process Prior Variational Autoencoders. NeurIPS 2018: 10390-10401 - [e3]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:
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. Lecture Notes in Computer Science 11044, Springer 2018, ISBN 978-3-030-00688-4 [contents] - [i10]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
An Unsupervised Learning Model for Deformable Medical Image Registration. CoRR abs/1802.02604 (2018) - [i9]Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag:
Synthesizing Images of Humans in Unseen Poses. CoRR abs/1804.07739 (2018) - [i8]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. CoRR abs/1805.04605 (2018) - [i7]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation from Image Collections. CoRR abs/1808.05732 (2018) - [i6]Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland:
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. CoRR abs/1809.04182 (2018) - [i5]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
VoxelMorph: A Learning Framework for Deformable Medical Image Registration. CoRR abs/1809.05231 (2018) - [i4]Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi:
Gaussian Process Prior Variational Autoencoders. CoRR abs/1810.11738 (2018) - [i3]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:
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR abs/1811.07216 (2018) - [i2]Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca:
Fast Learning-based Registration of Sparse Clinical Images. CoRR abs/1812.06932 (2018) - 2017
- [c10]Miaomiao Zhang, Ruizhi Liao, Adrian V. Dalca, Esra Abaci Turk, Jie Luo, Patricia Ellen Grant, Polina Golland:
Frequency Diffeomorphisms for Efficient Image Registration. IPMI 2017: 559-570 - [c9]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Population Based Image Imputation. IPMI 2017: 659-671 - [e2]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:
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. Lecture Notes in Computer Science 10551, Springer 2017, ISBN 978-3-319-67674-6 [contents] - [e1]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:
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. Lecture Notes in Computer Science 10555, Springer 2017, ISBN 978-3-319-67563-3 [contents] - [i1]Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman:
Reconstructing Video from Interferometric Measurements of Time-Varying Sources. CoRR abs/1711.01357 (2017) - 2016
- [b1]Adrian Vasile Dalca:
Genetic, clinical and population priors for brain images. Massachusetts Institute of Technology, Cambridge, USA, 2016 - [c8]Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland:
Patch-Based Discrete Registration of Clinical Brain Images. Patch-MI@MICCAI 2016: 60-67 - 2015
- [c7]Danielle F. Pace, Adrian V. Dalca, Tal Geva, Andrew J. Powell, Mehdi Hedjazi Moghari, Polina Golland:
Interactive Whole-Heart Segmentation in Congenital Heart Disease. MICCAI (3) 2015: 80-88 - [c6]Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland:
Predictive Modeling of Anatomy with Genetic and Clinical Data. MICCAI (3) 2015: 519-526 - 2014
- [c5]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:
Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors. MICCAI (2) 2014: 773-780 - 2013
- [c4]Nematollah Batmanghelich, Adrian V. Dalca, Mert R. Sabuncu, Polina Golland:
Joint Modeling of Imaging and Genetics. IPMI 2013: 766-777 - [c3]Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland:
Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke. MBIA 2013: 18-30 - 2011
- [c2]Adrian V. Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud J. Schmidt, Polina Golland:
Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters. MICCAI (3) 2011: 537-545 - 2010
- [j3]Adrian V. Dalca, Michael Brudno:
Genome variation discovery with high-throughput sequencing data. Briefings Bioinform. 11(1): 3-14 (2010) - [j2]Adrian V. Dalca, Stephen M. Rumble, Samuel Levy, Michael Brudno:
VARiD: A variation detection framework for color-space and letter-space platforms. Bioinform. 26(12): 343-349 (2010)
2000 – 2009
- 2009
- [j1]Stephen M. Rumble, Phil Lacroute, Adrian V. Dalca, Marc Fiume, Arend Sidow, Michael Brudno:
SHRiMP: Accurate Mapping of Short Color-space Reads. PLoS Comput. Biol. 5(5) (2009) - 2008
- [c1]Adrian V. Dalca, Michael Brudno:
FRESCO: Flexible Alignment with Rectangle Scoring Schemes. Pacific Symposium on Biocomputing 2008: 3-14
Coauthor Index
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