Search Results - "Chung, Albert"
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Disease prediction with edge-variational graph convolutional networks
Published in Medical image analysis (01-04-2022)“…•Optimizable population graph on multimodal data via pairwise association encoder.•Semi-supervised disease prediction using graph convolutional…”
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2
Relax and focus on brain tumor segmentation
Published in Medical image analysis (01-01-2022)“…•Severe data imbalance for tumor and non-tumor tissues, and among tumor sub-regions.•Loss function is dynamically updated for each class based on its…”
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MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation
Published in Medical image analysis (01-10-2021)“…•A neural network quantization method is proposed for medical image segmentation.•Lossless performance is achieved with up to 14× theoretical speedup and 15×…”
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Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2020)“…Diffeomorphic deformable image registration is crucial in many medical image studies, as it offers unique, special features including topology preservation and…”
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Conference Proceeding -
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Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning
Published in IEEE transactions on medical imaging (01-03-2023)“…Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have…”
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Unsupervised Domain Adaptation for Medical Image Segmentation Using Transformer With Meta Attention
Published in IEEE transactions on medical imaging (01-02-2024)“…Image segmentation is essential to medical image analysis as it provides the labeled regions of interest for the subsequent diagnosis and treatment. However,…”
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EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation
Published in Medical image analysis (01-10-2024)“…Model quantization is a promising technique that can simultaneously compress and accelerate a deep neural network by limiting its computation bit-width, which…”
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Dominant Local Binary Patterns for Texture Classification
Published in IEEE transactions on image processing (01-05-2009)“…This paper proposes a novel approach to extract image features for texture classification. The proposed features are robust to image rotation, less sensitive…”
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Retinal Vessel Segmentation by a Transformer-U-Net Hybrid Model With Dual-Path Decoder
Published in IEEE journal of biomedical and health informatics (01-09-2024)“…This paper introduces an effective and efficient framework for retinal vessel segmentation. First, we design a Transformer-CNN hybrid model in which a…”
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Affine Medical Image Registration with Coarse-to-Fine Vision Transformer
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…Affine registration is indispensable in a comprehensive medical image registration pipeline. However, only a few studies focus on fast and robust affine…”
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Conference Proceeding -
11
A Markov Random Field Groupwise Registration Framework for Face Recognition
Published in IEEE transactions on pattern analysis and machine intelligence (01-04-2014)“…In this paper, we propose a new framework for tackling face recognition problem. The face recognition problem is formulated as groupwise deformable image…”
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12
Feature Sensitive Label Fusion With Random Walker for Atlas-Based Image Segmentation
Published in IEEE transactions on image processing (01-06-2017)“…In this paper, a novel label fusion method is proposed for brain magnetic resonance image segmentation. This label fusion method is formulated on a graph,…”
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13
A Dual Coordinate System Vertebra Landmark Detection Network with Sparse-to-Dense Vertebral Line Interpolation
Published in Bioengineering (Basel) (01-01-2024)“…Precise surveillance and assessment of spinal disorders are important for improving health care and patient survival rates. The assessment of spinal disorders,…”
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14
Depth-Aware Networks for Multi-Organ Lesion Detection in Chest CT Scans
Published in Bioengineering (Basel) (03-10-2024)“…Computer tomography (CT) scans' capabilities in detecting lesions have been increasing remarkably in the past decades. In this paper, we propose a multi-organ…”
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A novel learning-based dissimilarity metric for rigid and non-rigid medical image registration by using Bhattacharyya Distances
Published in Pattern recognition (01-02-2017)“…Image registration is one of the major technologies of the medical image processing and analysis. According to the nature of the transformation, image…”
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Perception of body ownership is driven by Bayesian sensory inference
Published in PloS one (06-02-2015)“…Recent studies have shown that human perception of body ownership is highly malleable. A well-known example is the rubber hand illusion (RHI) wherein ownership…”
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Thermal physiology and thermoregulatory behaviour exhibit low heritability despite genetic divergence between lizard populations
Published in Proceedings of the Royal Society. B, Biological sciences (16-05-2018)“…Ectothermic species are particularly sensitive to changes in temperature and may adapt to changes in thermal environments through evolutionary shifts in…”
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UAV Flight and Landing Guidance System for Emergency Situations
Published in Sensors (Basel, Switzerland) (15-10-2019)“…Unmanned aerial vehicles (UAVs) with high mobility can perform various roles such as delivering goods, collecting information, recording videos and more…”
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3-D B-spline Wavelet-Based Local Standard Deviation (BWLSD): Its Application to Edge Detection and Vascular Segmentation in Magnetic Resonance Angiography
Published in International journal of computer vision (01-05-2010)“…Extracting reliable image edge information is crucial for active contour models as well as vascular segmentation in magnetic resonance angiography (MRA)…”
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Humanization of wildlife gut microbiota in urban environments
Published in eLife (31-05-2022)“…Urbanization is rapidly altering Earth's environments, demanding investigation of the impacts on resident wildlife. Here, we show that urban populations of…”
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