Adrian V. Dalca is an Assistant Professor at A.A. Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, and Research Scientist at CSAIL, MIT. He obtained his PhD from CSAIL, MIT. His research focuses on developing new machine learning techniques and probabilistic models to analyze medical images, clinical diagnoses, and other complex medical data. His work spans medical image analysis, machine learning, computer vision and photography, and computational biology.
PhD in Electrical Engineering and Computer Science, MIT
1. Billot B, Greve D, Van Leemput K, Fischl B, Iglesias JE, Dalca AV. A Learning Strategy for Contrast-agnostic MRI Segmentation. MIDL: Medical Imaging with Deep Learning. PMLR 121. 2020; 75-93.
2. Balakrishnan G, Zhao A, Sabuncu MR, Guttag J, Dalca AV. VoxelMorph: A Learning Framework for Deformable Medical Image Registration. IEEE TMI: Transactions on Medical Imaging. 2019; 38(8): 1788-1800.
3. Dalca AV, Rakic M, Guttag J, Sabuncu MR.Learning Conditional Deformable Templates with Convolutional Networks. NeurIPS: Advances in Neural Information Processing Systems. 2019; 804-816.
4. Zhao A, Balakrishnan G, Durand F, Guttag J, Dalca AV. Data Augmentation with Spatial and Appearance Transforms for One-shot Medical Image Segmentation. CVPR: Computer Vision and Pattern Recognition. 2019; 8543-8553.