2.2k citations · 5.7k across the 59 of their papers we have counts for
12 papers · 1 filter
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
Guha Balakrishnan, Adrian V. Dalca, Amy Zhao +3
We introduce visual deprojection: the task of recovering an image or video that has been collapsed along a dimension. Projections arise in various contexts, such as long-exposure p…
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation
Hyeon Woo Lee, Mert R. Sabuncu, Adrian V. Dalca
We tackle biomedical image segmentation in the scenario of only a few labeled brain MR images. This is an important and challenging task in medical applications, where manual annot…
Learning Conditional Deformable Templates with Convolutional Networks
Adrian V. Dalca, Marianne Rakic, John Guttag +1
We develop a learning framework for building deformable templates, which play a fundamental role in many image analysis and computational anatomy tasks. Conventional methods for te…
Deep-learning-based Optimization of the Under-sampling Pattern in MRI
Cagla D. Bahadir, Alan Q. Wang, Adrian V. Dalca +1
In compressed sensing MRI (CS-MRI), k-space measurements are under-sampled to achieve accelerated scan times. CS-MRI presents two fundamental problems: (1) where to sample and (2)…
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Florian Dubost, Marleen de Bruijne, Marco Nardin +10
Registration is a core component of many imaging pipelines. In case of clinical scans, with lower resolution and sometimes substantial motion artifacts, registration can produce po…
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout
Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu
In classification applications, we often want probabilistic predictions to reflect confidence or uncertainty. Dropout, a commonly used training technique, has recently been linked…