Adrian V. Dalca
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
9
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACSSC | Deep infant brain segmentation from multi-contrast MRI. | Malte Hoffmann, Lilla Zllei, Adrian V. Dalca |
| 2025 | CVPR | MultiMorph: On-demand Atlas Construction. | S. Mazdak Abulnaga, Andrew Hoopes, Neel Dey, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca |
| 2025 | ICCV | Multiverseg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with in-Context Guidance. | Hallee E. Wong, Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca |
| 2025 | ICLR | Learning General-purpose Biomedical Volume Representations using Randomized Synthesis. | Neel Dey, Benjamin Billot, Hallee E. Wong, Clinton J. Wang, Mengwei Ren, Ellen Grant, Adrian V. Dalca, Polina Golland |
| 2024 | CVPR | Tyche: Stochastic in-Context Learning for Medical Image Segmentation. | Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth A. Cimini, John V. Guttag, Adrian V. Dalca |
| 2024 | ECCV | ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image. | Hallee E. Wong, Marianne Rakic, John V. Guttag, Adrian V. Dalca |
| 2024 | ICLR | Magnitude Invariant Parametrizations Improve Hypernetwork Learning. | Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian V. Dalca |
| 2024 | WACV | AnyStar: Domain randomized universal star-convex 3D instance segmentation. | Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland |
| 2023 | CVPR | Neuralizer: General Neuroimage Analysis without Re-Training. | Steffen Czolbe, Adrian V. Dalca |
| 2023 | ICCV | UniverSeg: Universal Medical Image Segmentation. | Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca |
| 2023 | MICCAI | Multi-head Graph Convolutional Network for Structural Connectome Classification. | Anees Kazi, Jocelyn S. Mora, Bruce Fischl, Adrian V. Dalca, Iman Aganj |
| 2023 | MICCAI | Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. | Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu |
| 2023 | MICCAI | AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography. | Ruisheng Su, Matthijs van der Sluijs, Sandra A. P. Cornelissen, Wim H. van Zwam, Aad van der Lugt, Wiro J. Niessen, Danny Ruijters, Theo van Walsum, Adrian V. Dalca |
| 2022 | WACV | Hyper-Convolution Networks for Biomedical Image Segmentation. | Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu |
| 2021 | ICCV | Generative Adversarial Registration for Improved Conditional Deformable Templates. | Neel Dey, Mengwei Ren, Adrian V. Dalca, Guido Gerig |
| 2021 | MICCAI | 3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. | Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland |
| 2021 | MICCAI | HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks. | Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu |
| 2020 | CVPR | Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. | Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frdo Durand, John V. Guttag, Adrian V. Dalca |
| 2020 | ICCP | Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. | He Sun, Adrian V. Dalca, Katherine L. Bouman |
| 2020 | MICCAI | Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast. | Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias |
| 2020 | MICCAI | Unbiased Atlas Construction for Neonatal Cortical Surfaces via Unsupervised Learning. | Jieyu Cheng, Adrian V. Dalca, Lilla Zllei |
| 2020 | MICCAI | 3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology. | Henry F. J. Tregidgo, Adri 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 | MICCAI | Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data. | Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu |
| 2020 | MICCAI | Learning Conditional Deformable Shape Templates for Brain Anatomy. | Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu |
| 2019 | CVPR | Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. | Amy Zhao, Guha Balakrishnan, Frdo Durand, John V. Guttag, Adrian V. Dalca |
| 2019 | ICCV | Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. | Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frdo Durand, William T. Freeman |
| 2019 | MICCAI | Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. | Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias |
| 2018 | CVPR | Synthesizing Images of Humans in Unseen Poses. | Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frdo Durand, John V. Guttag |
| 2018 | CVPR | An Unsupervised Learning Model for Deformable Medical Image Registration. | Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca |
| 2018 | CVPR | Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. | Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu |
| 2018 | MICCAI | Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. | Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu |
| 2018 | MICCAI | Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. | Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jrgen Weese, Mehdi Hedjazi Moghari, Polina Golland |
| 2016 | MICCAI | Patch-Based Discrete Registration of Clinical Brain Images. | Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland |
| 2015 | MICCAI | Predictive Modeling of Anatomy with Genetic and Clinical Data. | Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland |
| 2015 | MICCAI | Interactive Whole-Heart Segmentation in Congenital Heart Disease. | Danielle F. Pace, Adrian V. Dalca, Tal Geva, Andrew J. Powell, Mehdi Hedjazi Moghari, Polina Golland |
| 2013 | MICCAI | Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke. | Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland |
| 2011 | MICCAI | Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters. | Adrian V. Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud J. Schmidt, Polina Golland |
| 2008 | PSB | FRESCO: Flexible Alignment with Rectangle Scoring Schemes. | Adrian V. Dalca, Michael Brudno |