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10/02/2022
Pixel-global Self-supervised Learning with Uncertainty-aware Context Stabilizer
We developed a novel SSL approach to capture global consistency and pixe...
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06/10/2022
Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)
Recently, Winter and Hahn [1] commented on our work on identifying subty...
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06/01/2022
Control hubs of complex networks and a polynomial-time identification algorithm
Unveiling the underlying control principles of complex networks is one o...
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04/30/2022
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
Heterogeneous graph neural network (HGNN) is a very popular technique fo...
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07/10/2021
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images
In radiotherapy planning, manual contouring is labor-intensive and time-...
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04/29/2021
Pyramid Medical Transformer for Medical Image Segmentation
Deep neural networks have been a prevailing technique in the field of me...
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01/03/2021
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Community detection, a fundamental task for network analysis, aims to pa...
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09/21/2020
Semi-supervised Semantic Segmentation of Organs at Risk on 3D Pelvic CT Images
Automated segmentation of organs-at-risk in pelvic computed tomography (...
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08/11/2020
ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images
Purpose: The research is to develop a novel CNN-based adversarial deep l...
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01/18/2014
SAS+ Planning as Satisfiability
Planning as satisfiability is a principal approach to planning with many...
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01/16/2014
An Effective Algorithm for and Phase Transitions of the Directed Hamiltonian Cycle Problem
The Hamiltonian cycle problem (HCP) is an important combinatorial proble...
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01/30/2013
