Q. Song

Publications
Influence

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

B. Zong, Q. Song, +4 authors H. Chen
Computer Science
ICLR
15 February 2018

In this paper, we present a Deep Autoencoding Gaussian Mixture Model (DAGMM) for unsupervised anomaly detection. Expand

Optimal Multiple Surface Segmentation With Shape and Context Priors

Q. Song, Junjie Bai, M. Garvin, M. Sonka, J. Buatti, X. Wu
Mathematics, Medicine
IEEE Transactions on Medical Imaging
1 February 2013

A graph-theoretic framework for multi-object segmentation that incorporates both shape and context prior knowledge in a 3-D graph representation to help overcome the stated challenges. Expand

Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method

D. Han, J. Bayouth, +4 authors X. Wu
Mathematics, Medicine
IPMI
3 July 2011

Tumor segmentation in PET and CT images is notoriously challenging due to the low spatial resolution in PET images. Expand

Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning

S. Hussein, K. Cao, Q. Song, U. Bagci
Computer Science
IPMI
28 April 2017

Risk stratification of lung nodules is a task of primary importance in lung cancer diagnosis. Expand

On the entropy for Atanassov's intuitionistic fuzzy sets: An interpretation from the perspective of amount of knowledge

K. Guo, Q. Song
Mathematics, Computer Science
Appl. Soft Comput.
1 November 2014

A real-life example is provided for a discussion on the application of the models.Develop new entropy of A-IFSs to overcome the drawbacks the existing ones bring about. Expand

Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach

Xiayu Xu, M. Niemeijer, +4 authors M. Abràmoff
Computer Science, Medicine
IEEE Transactions on Medical Imaging
6 January 2011

This paper proposes an algorithm to measure the width of retinal vessels in fundus photographs using graph-based algorithm to segment both vessel edges simultaneously. Expand

Data-Based Fault-Tolerant Control of High-Speed Trains With Traction/Braking Notch Nonlinearities and Actuator Failures

Q. Song, Y. Song
Computer Science, Medicine
IEEE Transactions on Neural Networks
1 December 2011

This paper investigates the position and velocity tracking control problem of high-speed trains with multiple vehicles connected through couplers. Expand

Optimal Graph Search Segmentation Using Arc-Weighted Graph for Simultaneous Surface Detection of Bladder and Prostate

Q. Song, X. Wu, Y. Liu, M. Smith, J. Buatti, M. Sonka
Mathematics, Medicine
MICCAI
1 October 2009

We present a novel method for globally optimal surface segmentation of multiple mutually interacting objects, incorporating both edge and shape knowledge in a 3-D graph-theoretic approach. Expand

Segmentation of pathological and diseased lung tissue in CT images using a graph-search algorithm

P. Hua, Q. Song, M. Sonka, E. Hoffman, J. Reinhardt
Medicine, Computer Science
IEEE International Symposium on Biomedical…
9 June 2011

This paper presents an automatic algorithm for pathological lung CT image segmentation that uses a graph search driven by a cost function combining the intensity, gradient, boundary smoothness, and the rib information. Expand

Robust and accurate iris segmentation in very noisy iris images

P. Li, X. Liu, Lijuan Xiao, Q. Song
Mathematics, Computer Science
Image Vis. Comput.
1 February 2010

We propose a limbic boundary localization algorithm that combines K-Means clustering based on the gray-level co-occurrence histogram and an improved Hough transform, and, in possible failures, a complementary method that uses skin information. Expand

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