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Research
Prof. Heung-Il Suk's paper accepted in Neural Networks
Author Administrator (IP: *.152.74.116) Date 2019-03-07 14:10 Views 431
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Prof. Heung-Il Suk's research paper, 'Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection' was accepted in Neural Networks.

 

Title: Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection


Abstract: Lung cancer is a global and dangerous disease, and its early detection is crucial for reducing the risks of mortality. In this regard, it has been of great interest in developing a computer-aided system for pulmonary nodules detection as early as possible on thoracic CT scans. In general, a nodule detection system involves two steps: (i) candidate nodule detection at a high sensitivity, which captures many false positives and (ii) false positive reduction from candidates. However, due to the high variation of nodule morphological characteristics and the possibility of mistaking them for neighboring organs, candidate nodule detection remains a challenge. In this study, we propose a novel Multi-scale Gradual Integration Convolutional Neural Network (MGI-CNN), designed with three main strategies: (1) to use multi-scale inputs with different levels of contextual information, (2) to use abstract information inherent in different input scales with gradual integration, and (3) to learn multi-stream feature integration in an end-to-end manner. To verify the efficacy of the proposed network, we conducted exhaustive experiments on the LUNA16 challenge datasets by comparing the performance of the proposed method with state-of-the-art methods in the literature. On two candidate subsets of the LUNA16 dataset, i.e., V1 and V2, our method achieved an average CPM of 0.908 (V1) and 0.942(V2), outperforming comparable methods by a large margin. Our MGI-CNN is implemented in Python using TensorFlow and the source code is available from https://github.com/ku-milab/MGICNN.

 


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Research
Prof. Byoung-Kyong Min's paper published at NeuroImage
Prof. Byoung-Kyong Min's paper published at NeuroImage
Prof. Byoung-Kyong Min's research paper, 'Thalamocortical Inhibitory Dynamics Support Conscious Perception' was publishsed at NeuroImage. Link to the publication: https://doi.org/10.1016/j.neuroimage.2020.117066 Title: Thalamocortical Inhibitory Dynamics Support Conscious Perception Abstract:Whether thalamocortical interactions play a decisive role in conscious perception remains an open question. We presented rapid red/g…

2020-06-15

Prof. Jeehyun Kwag's paper accepted in Chaos
Prof. Jeehyun Kwag's paper accepted in Chaos
Prof. Jeehyun Kwag's research paper, 'Distinct subtypes of inhibitory interneurons differentially promote the propagation of rate and temporal codes in the feedforward neural network' was accepted in Chaos.  link to the publication: https://aip.scitation.org/doi/full/10.1063/1.5134765Title: Distinct subtypes of inhibitory interneurons differentially promote the propagation of rate and temporal codes in the feedforward neu…

2020-05-29

Prof. Jeehyun Kwag's paper accepted in Science Advances
Prof. Jeehyun Kwag's paper accepted in Science Advances
Prof. Jeehyun Kwag's research paper, 'Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex'  was accepted in Science Advances.  Publication Link: https://advances.sciencemag.org/content/6/17/eaay5333/Title: Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortexAbstract: Synchron…

2020-04-23

Prof. Byoung-Kyong Min's paper accepted in Trends in Biotechnology
Prof. Byoung-Kyong Min's paper accepted in Trends in Biotechnology
Prof. Byoung-Kyong Min's research paper, 'New Cognitive Neurotechnology Facilitates Studies of Cortical-Subcortical Interactions' was accepted in Trends in Biotechnology. Title: New Cognitive Neurotechnology Facilitates Studies of Cortical-Subcortical Interactions Abstract:Most of the studies employing neuroimaging have focused on cortical and subcortical signals individually to obtain neurophysiological signatures of cognitiv…

2020-03-09

Prof. Jeehyun Kwag's paper accepted in Brain Structure and Function
Prof. Jeehyun Kwag's paper accepted in Brain Structure and Function
Prof. Jeehyun Kwag's research paper, 'Dissociation of Somatostatin and Parvalbumin Interneurons Circuit Dysfunctions Underlying Hippocampal Theta and Gamma Oscillations impaired by Amyloid β Oligomers in Vivo' was accepted in Brain Structure and Function. Publication Link: https://link.springer.com/article/10.1007/s00429-020-02044-3Title: Dissociation of somatostatin and parvalbumin interneurons circuit dysfunctions underlyin…

2020-03-02

Prof. Jeehyun Kwag's paper accepted in BMC Biology
Prof. Jeehyun Kwag's paper accepted in BMC Biology
Prof. Jeehyun Kwag's research paper, 'Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation-induced spike timing-dependent long-term potentiation impaired by amyloid β oligomers' was accepted in BMC Biology. Title: Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation…

2020-03-02

Prof. Heung-Il Suk's paper accepted in NeuroImage
Prof. Heung-Il Suk's paper accepted in NeuroImage
Prof. Heung-Il Suk's research paper, 'Toward an Interpretable Alzheimer's Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning' was accepted in NeuroImage.  Title: Toward an Interpretable Alzheimer's Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning  Abstract: In this paper, we propose a novel method for magnetic resonance imaging based Alzheimer's disease (…

2019-08-20

Prof.Jae-Ho Han’s paper accepted in IEEE Transactions on Image Processing
Prof.Jae-Ho Han’s paper accepted in IEEE Transactions on Image Processing
Prof. Jae-Ho Han’s new research on `Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images` was accepted in IEEE Transactions on Image Processing.  Title: Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography ImagesAbstract: Segmenting the retinal layers in optical coherence tomography (OCT) images helps to quantify the …

2019-07-24

Prof. Seong-Whan Lee's paper accepted in IEEE Transactions on Intelligent Transportation Systems
Prof. Seong-Whan Lee's paper accepted in IEEE Transactions on Intelligent Transp…
Prof. Seong-Whan Lee's new research, Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-occurrence Feature was accepted in IEEE Transactions on Intelligent Transportation Systems. Title: 'Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-occurrence Feature Abstract: The continuous orientation estimation of a moving pedestrian is a crucial issue in auto…

2019-05-02

Prof. Heung-Il Suk's paper accepted in Neural Networks
Prof. Heung-Il Suk's paper accepted in Neural Networks
Prof. Heung-Il Suk's research paper, 'Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection' was accepted in Neural Networks.   Title: Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection Abstract: Lung cancer is a global and dangerous disease, and its early detection is crucial for reducing the risks of mortality. In this regard, it has been o…

2019-03-07

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