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06/14/2021
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images
Instance segmentation is of great importance for many biological applica...
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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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08/25/2020
Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks
Accurate estimation of shape thickness from medical images is crucial in...
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08/19/2020
Enhanced MRI Reconstruction Network using Neural Architecture Search
The accurate reconstruction of under-sampled magnetic resonance imaging ...
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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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08/17/2020
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
Oriented object detection in aerial images is a challenging task as the ...
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07/26/2020
Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation
Recent work on recommender systems has considered external knowledge gra...
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07/10/2020
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
Nuclei segmentation is a fundamental task in histopathology image analys...
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06/03/2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs
There has been growing attention on fairness considerations recently, es...
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01/09/2020
Vertebra-Focused Landmark Detection for Scoliosis Assessment
Adolescent idiopathic scoliosis (AIS) is a lifetime disease that arises ...
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07/22/2019
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes
Most existing methods handle cell instance segmentation problems directl...
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12/05/2018
End-to-end Segmentation with Recurrent Attention Neural Network
Image segmentation quality depends heavily on the quality of the image. ...
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10/18/2018