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07/28/2023
A Survey on Deep Learning in Medical Image Registration: New Technologies, Uncertainty, Evaluation Metrics, and Beyond
Over the past decade, deep learning technologies have greatly advanced t...
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03/24/2023
Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
Considering the ill-posed nature, contrastive regularization has been de...
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03/10/2023
Deformable Cross-Attention Transformer for Medical Image Registration
Transformers have recently shown promise for medical image applications,...
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03/10/2023
Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration
In the past, optimization-based registration models have used spatially-...
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07/17/2022
Editing Out-of-domain GAN Inversion via Differential Activations
Despite the demonstrated editing capacity in the latent space of a pretr...
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11/19/2021
TransMorph: Transformer for unsupervised medical image registration
In the last decade, convolutional neural networks (ConvNets) have domina...
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07/29/2021
From Continuity to Editability: Inverting GANs with Consecutive Images
Existing GAN inversion methods are stuck in a paradox that the inverted ...
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04/17/2021
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Quantitative bone single-photon emission computed tomography (QBSPECT) h...
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04/13/2021
