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08/25/2023
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon
With the advent of digital scanners and deep learning, diagnostic operat...
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08/15/2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Deep learning based methods for automatic organ segmentation have shown ...
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05/19/2023
Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions
Statistical shape modeling (SSM) is an essential tool for analyzing vari...
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02/21/2021
Learning Deep Features for Shape Correspondence with Domain Invariance
Correspondence-based shape models are key to various medical imaging app...
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12/29/2020
Visualization of topology optimization designs with representative subset selection
An important new trend in additive manufacturing is the use of optimizat...
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09/07/2020
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications
Statistical shape modeling (SSM) is widely used in biology and medicine ...
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07/10/2020
Attention-guided Quality Assessment for Automated Cryo-EM Grid Screening
Cryogenic electron microscopy (cryo-EM) has become an enabling technolog...
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08/16/2019
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration
Spatial transformations are enablers in a variety of medical image analy...
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08/16/2019
A Cooperative Autoencoder for Population-BasedRegularization of CNN Image Registration
Spatial transformations are enablers in a variety of medical image analy...
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09/28/2018
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images
Statistical shape modeling is an important tool to characterize variatio...
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05/06/2018