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20182023
most citedAnatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation

108 citations · 269 across the 17 of their papers we have counts for

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23 papers · 1 filter

cs.CV20233 cited

GIST: Generating Image-Specific Text for Fine-grained Object Classification

Kathleen M. Lewis, Emily Mu, Adrian V. Dalca +1

Recent vision-language models outperform vision-only models on many image classification tasks. However, because of the absence of paired text/image descriptions, it remains diffic…

cs.CV2023

AnyStar: Domain randomized universal star-convex 3D instance segmentation

Neel Dey, S. Mazdak Abulnaga, Benjamin Billot +4

Star-convex shapes arise across bio-microscopy and radiology in the form of nuclei, nodules, metastases, and other units. Existing instance segmentation networks for such structure…

cs.CV20221 cited

SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration

Sean I. Young, Yaël Balbastre, Adrian V. Dalca +3

In recent years, learning-based image registration methods have gradually moved away from direct supervision with target warps to instead use self-supervision, with excellent resul…

cs.CV2021

HyperMorph: Amortized Hyperparameter Learning for Image Registration

Andrew Hoopes, Malte Hoffmann, Bruce Fischl +2

We present HyperMorph, a learning-based strategy for deformable image registration that removes the need to tune important registration hyperparameters during training. Classical r…

cs.CV2020

Predictive Modeling of Anatomy with Genetic and Clinical Data

Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu +1

We present a semi-parametric generative model for predicting anatomy of a patient in subsequent scans following a single baseline image. Such predictive modeling promises to facili…

cs.CV2020

3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology

Henry Tregidgo, Adria Casamitjana, Caitlin Latimer +9

Neuroimaging to neuropathology correlation (NTNC) promises to enable the transfer of microscopic signatures of pathology to in vivo imaging with MRI, ultimately enhancing clinical…