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07/15/2023
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging
We propose a novel neural deformable model (NDM) targeting at the recons...
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06/04/2023
Predicting Information Pathways Across Online Communities
The problem of community-level information pathway prediction (CLIPP) ai...
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03/04/2021
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images
Cardiac tagging magnetic resonance imaging (t-MRI) is the gold standard ...
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11/19/2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Few-Shot Learning (FSL) aims to improve a model's generalization capabil...
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08/18/2020
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data
The 3D volumetric shape of the heart's left ventricle (LV) myocardium (M...
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08/07/2018
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection
Zero-shot learning transfers knowledge from seen classes to novel unseen...
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05/18/2018
Self-Training Ensemble Networks for Zero-Shot Image Recognition
Despite the advancement of supervised image recognition algorithms, thei...
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04/19/2018