Dongqing Zhang

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 31

Top Topics

Regression Forests

Robust Segmentation

Top Venues

Medical Imaging: Image Processing

Comput. Electron. Agric.

Publications

Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CoRR (2023)
Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CVPR (2023)
Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation. CoRR (2022)
Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer
SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation. ECCV (30) (2022)
Xiao Zhang, Jingyi Wang, Liusan Wu, Ming Cheng, Dongqing Zhang
Prediction of the Total Output Value of China's Construction Industry Based on FGM (1, 1) Model. Axioms 11 (9) (2022)
Shixing Chen, Xiaohan Nie, David Fan, Dongqing Zhang, Vimal Bhat, Raffay Hamid
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection. CoRR (2021)
Shixing Chen, Xiaohan Nie, David Fan, Dongqing Zhang, Vimal Bhat, Raffay Hamid
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection. CVPR (2021)
Dongqing Zhang, Zhaoxia Guo, Feng Guo, Yucheng Dong
An offline map matching algorithm based on shortest paths. Int. J. Geogr. Inf. Sci. 35 (11) (2021)
Fei Pan, Dongqing Zhang, Na Li, Mei Liu
Circular RNA circFAT1(e2) Promotes Colorectal Cancer Tumorigenesis via the miR-30e-5p/ITGA6 Axis. Comput. Math. Methods Medicine 2021 (2021)
Dongqing Zhang, Yucheng Dong, Zhaoxia Guo
A turning point-based offline map matching algorithm for urban road networks. Inf. Sci. 565 (2021)
Yubo Fan, Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant
Combining model- and deep-learning-based methods for the accurate and robust segmentation of the intra-cochlear anatomy in clinical head CT images. Medical Imaging: Image Processing (2020)
Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant
HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs. Medical Image Anal. 61 (2020)
Minh Vu, Rueben A. Banalagay, Dongqing Zhang, Alejandro Rivas, Loris Fichera, Robert J. Webster, Robert F. Labadie, Jack H. Noble
Analysis of middle ear morphology for design of a transnasal endoscope. Medical Imaging: Image-Guided Procedures (2019)
Dongqing Zhang, Zhenyu Liu
Application of Weighted K-Means Decision Cluster Classifier in the Recognition of Infectious Expressions of Primary School Students Reading. ADMA (2019)
Dongqing Zhang, Rueben A. Banalagay, Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant
Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CTs with limited ground truth training data. Medical Imaging: Image Processing (2019)
Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images. CoRR (2018)
Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint. CoRR (2018)
Dongqing Zhang, Guangming Zang, Jing Li, Kaiping Ma, Huan Liu
Prediction of soybean price in China using QR-RBF neural network model. Comput. Electron. Agric. 154 (2018)
Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen
Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional LSTM. Medical Imaging: Image Processing (2018)
Dongqing Zhang, Jack H. Noble, Benoit M. Dawant
Automatic detection of the inner ears in head CT images using deep convolutional neural networks. Medical Imaging: Image Processing (2018)
Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye, Gang Hua
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks. ECCV (8) (2018)
Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye, Gang Hua
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks. CoRR (2018)
Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint. MICCAI (4) (2018)
Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images. ISBI (2018)
Jianxin Chen, Dongqing Zhang, Yingjie Victor Chen, Zhenyu Cheryl Qian
Employing Relation Visualizations to Enhance the Shopping Experience on a Used Car Trading Platform. HCI (24) (2017)
Zhanning Gao, Gang Hua, Dongqing Zhang, Nebojsa Jojic, Le Wang, Jianru Xue, Nanning Zheng
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting. CVPR (2017)
Jiaolong Yang, Peiran Ren, Dongqing Zhang, Dong Chen, Fang Wen, Hongdong Li, Gang Hua
Neural Aggregation Network for Video Face Recognition. CVPR (2017)
Dongqing Zhang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant
Selecting electrode configurations for image-guided cochlear implant programming using template matching. Medical Imaging: Image-Guided Procedures (2017)
Loris Fichera, Neal P. Dillon, Dongqing Zhang, Isuru S. Godage, Michael A. Siebold, Bryan I. Hartley, Jack H. Noble, Paul T. Russell III, Robert F. Labadie, Robert J. Webster III
Through the Eustachian Tube and Beyond: A New Miniature Robotic Endoscope to See Into the Middle Ear. IEEE Robotics Autom. Lett. 2 (3) (2017)
Dongqing Zhang, Yuan Liu, Jack H. Noble, Benoit M. Dawant
Automatic localization of landmark sets in head CT images with regression forests for image registration initialization. Medical Imaging: Image Processing (2016)
Zhaoxia Guo, Dongqing Zhang, Sunney Yung-Sun Leung, Leyuan Shi
A bi-level evolutionary optimization approach for integrated production and transportation scheduling. Appl. Soft Comput. 42 (2016)
Jing Li, Daniel Rodríguez, Dongqing Zhang, Kaiping Ma
Crop rotation model for contract farming with constraints on similar profits. Comput. Electron. Agric. 119 (2015)
Dongqing Zhang, Marc L. Bennett, Robert F. Labadie, Jack H. Noble
Simulation of trans-nasal endoscopy of the middle ear for visualization of cholesteatoma. ISBI (2015)
Dongqing Zhang, Wu-Jun Li
Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization. AAAI (2014)
Yubing Han, Dongqing Zhang
A recursive Bayesian beamforming for steering vector uncertainties. EURASIP J. Adv. Signal Process. 2013 (2013)
Dejun Tang, Weishi Zhang, Xiaolu Qu, Dongqing Zhang
Improved active shape model and its application to facial feature extraction. J. Electronic Imaging 22 (3) (2013)
Peng Wang, Dongqing Zhang, Gang Zeng, Jingdong Wang
Contextual Dominant Color Name Extraction for Web Image Search. ICME Workshops (2012)
Peng Wang, Dongqing Zhang, Jingdong Wang, Zhong Wu, Xian-Sheng Hua, Shipeng Li
Color filter for image search. ACM Multimedia (2012)
Dejun Tang, Dongqing Zhang, Yonghu Yang, Zhenyu Liu
Robust non-fragile control for the switched discrete-time linear system. Int. J. Model. Identif. Control. 10 (1/2) (2010)
Jeffrey W. Prescott, Dongqing Zhang, Jian Z. Wang, Nina A. Mayr, William T. C. Yuh, Joel H. Saltz, Metin N. Gurcan
Temporal Analysis of Tumor Heterogeneity and Volume for Cervical Cancer Treatment Outcome Prediction: Preliminary Evaluation. J. Digit. Imaging 23 (3) (2010)
Dongqing Zhang, Xuanxi Ning, Xueni Liu
SMC method for online prediction in hidden Markov models. Kybernetes 38 (10) (2009)
Jeffrey W. Prescott, Dongqing Zhang, Jian Z. Wang, Nina A. Mayr, William T. C. Yuh, Joel H. Saltz, Metin N. Gurcan
Cancer treatment outcome prediction by assessing temporal change: application to cervical cancer. Medical Imaging: Computer-Aided Diagnosis (2008)