Yiqiang Zhan

According to our database, Yiqiang Zhan authored at least 99 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images.

Xi Ouyang, Dongdong Gu, Xuejian Li, Wenqi Zhou, Qianqian Chen, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi, Zhong Xue, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling.

Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen

IEEE Trans. Medical Imaging, November, 2023

Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning.

Xin Wang, Jun Wang, Fei Shan, Yiqiang Zhan, Jun Shi, Dinggang Shen

Comput. Biol. Medicine, June, 2023

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution.

Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang

IEEE Trans. Medical Imaging, February, 2023

An Energy-Efficient Flexible Multi-Modal Wireless Sweat Sensing System Based on Laser Induced Graphene.

Jiuqing Feng, Yizhou Jiang, Kai Wang, Jianzheng Li, Jialong Zhang, Mi Tian, Guoping Chen, Laigui Hu, Yiqiang Zhan, Yajie Qin

Sensors, 2023

Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI.

Shanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images.

Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis.

Lanzhuju Mei, Yu Fang, Zhiming Cui, Ke Deng, Nizhuan Wang, Xuming He, Yiqiang Zhan, Xiang Zhou, Maurizio Tonetti, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans.

Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI.

Xibao Li, Xi Ouyang, Jiadong Zhang, Dongdong Gu, Zehong Cao, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Yuyao Zhang, Feng Shi, Dinggang Shen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion.

Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen

CoRR, 2022

Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning.

Xiao Zhang, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph.

Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

TaG-Net: Topology-Aware Graph Network for Vessel Labeling.

Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen

Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022

Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images.

Yu Fang, Zhiming Cui, Lei Ma, Lanzhuju Mei, Bojun Zhang, Yue Zhao, Zhihao Jiang, Yiqiang Zhan, Yongsheng Pan, Min Zhu, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection.

Zhenrong Shen, Xi Ouyang, Zhuochen Wang, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head.

Haoyi Tao, Yuanfang Qiao, Lichi Zhang, Yiqiang Zhan, Zhong Xue, Qian Wang

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI.

Wenjun Shen, Liyun Chen, Dongming Wei, Yuanfang Qiao, Yiqiang Zhan, Dinggang Shen, Qian Wang

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms.

Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction".

Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen

IEEE Trans. Biomed. Eng., 2020

Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling.

Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.

Xuhua Ren, Tingting Li, Xiujun Yang, Shuai Wang, Sahar Ahmad, Lei Xiang, Shaun Richard Stone, Lihong Li, Yiqiang Zhan, Dinggang Shen, Qian Wang

IEEE J. Biomed. Health Informatics, 2019

Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction.

Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen

IEEE Trans. Biomed. Eng., 2019

Large-scale evaluation of V-Net for organ segmentation in image guided radiation therapy.

Miaofei Han, Yu Zhang, Qiangqiang Zhou, Chengcheng Rong, Yiqiang Zhan, Xiang Zhou, Yaozong Gao

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph.

Minqing Zhang, Dijia Wu, Qin Liu, Qingfeng Li, Yiqiang Zhan, Xiang Sean Zhou

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization.

Kai Xuan, Dongming Wei, Dijia Wu, Zhong Xue, Yiqiang Zhan, Weiwu Yao, Qian Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis.

Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation.

Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray.

Xi Ouyang, Zhong Xue, Yiqiang Zhan, Xiang Sean Zhou, Qingfeng Wang, Ying Zhou, Qian Wang, Jie-Zhi Cheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection.

Guangrui Mu, Yanbo Chen, Dijia Wu, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation.

Qin Liu, Xiongfeng Tang, Deming Guo, Yanguo Qin, Pengfei Jia, Yiqiang Zhan, Xiang Zhou, Dijia Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression.

Qingfeng Li, Xiaodan Xing, Ying Sun, Bin Xiao, Hao Wei, Quan Huo, Minqing Zhang, Xiang Sean Zhou, Yiqiang Zhan, Zhong Xue, Feng Shi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease.

Guangrui Mu, Yiyi Ma, Miaofei Han, Yiqiang Zhan, Xiang Zhou, Yaozong Gao

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Spatial and depth weighted neural network for diagnosis of Alzheimer's disease.

Qingfeng Li, Quan Huo, Xiaodan Xing, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Segmentation of CT Thoracic Organs by Multi-resolution VB-nets.

Miaofei Han, Guang Yao, Wenhai Zhang, Guangrui Mu, Yiqiang Zhan, Xiang Zhou, Yaozong Gao

Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019

Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning.

Yunhao Ge, Dongming Wei, Zhong Xue, Qian Wang, Xiang Zhou, Yiqiang Zhan, Shu Liao

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Universal and Convenient Optimization Strategies for Three-Terminal Memristors.

Kunlong Yang, Yuxiang Huan, Jiawei Xu, Zhuo Zou, Yiqiang Zhan, Li-Rong Zheng, Fernando Seoane

IEEE Access, 2018

Optimized Near-Zero Quantization Method for Flexible Memristor Based Neural Network.

Jiawei Xu, Yuxiang Huan, Kunlong Yang, Yiqiang Zhan, Zhuo Zou, Li-Rong Zheng

IEEE Access, 2018

Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.

Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong, Gerardo Hermosillo, Tianming Liu, Xiang Sean Zhou, Yiqiang Zhan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information.

Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF).

Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

A deep-learning based automatic pulmonary nodule detection system.

Yiyuan Zhao, Liang Zhao, Zhennan Yan, Matthias Wolf, Yiqiang Zhan

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation.

Chaowei Tan, Liang Zhao, Zhennan Yan, Kang Li, Dimitris N. Metaxas, Yiqiang Zhan

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Document Representation Learning for Patient History Visualization.

Halid Ziya Yerebakan, Yoshihisa Shinagawa, Parmeet S. Bhatia, Yiqiang Zhan

Proceedings of the COLING 2018, 2018

2017

Real time coarse orientation detection in MR scans using multi-planar deep convolutional neural networks.

Parmeet S. Bhatia, Fitsum A. Reda, Martin Harder, Yiqiang Zhan, Xiang Sean Zhou

Proceedings of the Medical Imaging 2017: Image Processing, 2017

Automatic lumbar spine measurement in CT images.

Yunxiang Mao, Dong Zheng, Shu Liao, Zhigang Peng, Ruyi Yan, Junhua Liu, Zhongxing Dong, Liyan Gong, Xiang Sean Zhou, Yiqiang Zhan, Jun Fei

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition.

Zhennan Yan, Yiqiang Zhan, Shaoting Zhang, Dimitris N. Metaxas, Xiang Sean Zhou

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.

Zhennan Yan, Yiqiang Zhan, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Shaoting Zhang, Dimitris N. Metaxas, Xiang Sean Zhou

IEEE Trans. Medical Imaging, 2016

Automatic Lumbar Spondylolisthesis Measurement in CT Images.

Shu Liao, Yiqiang Zhan, Zhongxing Dong, Ruyi Yan, Liyan Gong, Xiang Sean Zhou, Marcos Salganicoff, Jun Fei

IEEE Trans. Medical Imaging, 2016

Hierarchical Latent Word Clustering.

Halid Ziya Yerebakan, Fitsum A. Reda, Yiqiang Zhan, Yoshihisa Shinagawa

CoRR, 2016

Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks.

Liang Zhao, Yiqiang Zhan, Dominik Nickel, Matthias Fenchel, Berthold Kiefer, Xiang Sean Zhou

Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network.

Bin Kong, Yiqiang Zhan, Min C. Shin, Thomas Denny, Shaoting Zhang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

A Steering Engine: Learning 3-D Anatomy Orientation Using Regression Forests.

Fitsum A. Reda, Yiqiang Zhan, Xiang Sean Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Bodypart Recognition Using Multi-stage Deep Learning.

Zhennan Yan, Yiqiang Zhan, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Dimitris N. Metaxas, Xiang Sean Zhou

Proceedings of the Information Processing in Medical Imaging, 2015

Computer-Assisted Medical Image Analysis Systems.

Shu Liao, Shipeng Yu, Matthias Wolf, Gerardo Hermosillo, Yiqiang Zhan, Yoshihisa Shinagawa, Zhigang Peng, Xiang Sean Zhou, Luca Bogoni, Marcos Salganicoff

Proceedings of the Healthcare Data Analytics., 2015

2014

Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy.

Yaozong Gao, Yiqiang Zhan, Dinggang Shen

IEEE Trans. Medical Imaging, 2014

Sparse appearance model-based algorithm for automatic segmentation and identification of articulated hand bones.

Fitsum A. Reda, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Yiqiang Zhan, Gerardo Hermosillo, Xiang Sean Zhou

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Multi-view learning based robust collimation detection in digital radiographs.

Hongda Mao, Zhigang Peng, Frank Dennerlein, Yoshihisa Shinagawa, Yiqiang Zhan, Xiang Sean Zhou

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Adaptive geodesic transform for segmentation of vertebrae on CT images.

Bilwaj Gaonkar, Shu Liao, Gerardo Hermosillo, Yiqiang Zhan

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Saliency-based rotation invariant descriptor for wrist detection in whole body CT images.

Mingchen Gao, Yiqiang Zhan, Gerardo Hermosillo Valadez, Yoshihisa Shinagawa, Dimitris N. Metaxas, Xiang Sean Zhou

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

3D anatomical shape atlas construction using mesh quality preserved deformable models.

Shaoting Zhang, Yiqiang Zhan, Xinyi Cui, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas

Comput. Vis. Image Underst., 2013

Brain PET Attenuation Correction without CT: An Investigation.

Maneesh Dewan, Yiqiang Zhan, Gerardo Hermosillo, Bing Jian, Xiang Sean Zhou

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

MR prostate segmentation via distributed discriminative dictionary (DDD) learning.

Yanrong Guo, Yiqiang Zhan, Yaozong Gao, Jianguo Jiang, Dinggang Shen

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Mining anatomical, physiological and pathological information from medical images.

Xiang Sean Zhou, Yiqiang Zhan, Vikas C. Raykar, Gerardo Hermosillo Valadez, Luca Bogoni, Zhigang Peng

SIGKDD Explor., 2012

Deformable segmentation via sparse representation and dictionary learning.

Shaoting Zhang, Yiqiang Zhan, Dimitris N. Metaxas

Medical Image Anal., 2012

Towards robust and effective shape modeling: Sparse shape composition.

Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou

Medical Image Anal., 2012

Shape Prior Modeling Using Sparse Representation and Online Dictionary Learning.

Shaoting Zhang, Yiqiang Zhan, Yan Zhou, Mustafa Gökhan Uzunbas, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Robust MR Spine Detection Using Hierarchical Learning and Local Articulated Model.

Yiqiang Zhan, Maneesh Dewan, Martin Harder, Xiang Sean Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Information Forests.

Zhao Yi, Stefano Soatto, Maneesh Dewan, Yiqiang Zhan

Proceedings of the 2012 Information Theory and Applications Workshop, 2012

Efficient sparse shape composition with its applications in biomedical image analysis: An overview.

Shaoting Zhang, Yiqiang Zhan, Yan Zhou, Dimitris N. Metaxas

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Robust Automatic Knee MR Slice Positioning Through Redundant and Hierarchical Anatomy Detection.

Yiqiang Zhan, Maneesh Dewan, Martin Harder, Arun Krishnan, Xiang Sean Zhou

IEEE Trans. Medical Imaging, 2011

Deformable Segmentation via Sparse Shape Representation.

Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Automatic Alignment of Brain MR Scout Scans Using Data-adaptive Multi-structural Model.

Ting Chen, Yiqiang Zhan, Shaoting Zhang, Maneesh Dewan

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Auto-alignment of Knee MR Scout Scans through Redundant, Adaptive and Hierarchical Anatomy Detection.

Yiqiang Zhan, Maneesh Dewan, Xiang Sean Zhou

Proceedings of the Information Processing in Medical Imaging, 2011

Sparse shape composition: A new framework for shape prior modeling.

Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Redundancy, redundancy, redundancy: the three keys to highly robust anatomical parsing in medical images.

Xiang Sean Zhou, Zhigang Peng, Yiqiang Zhan, Maneesh Dewan, Bing Jian, Arun Krishnan, Yimo Tao, Martin Harder, Stefan Grosskopf, Ute Feuerlein

Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-Based Edge Detection and Coarse-to-Fine Deformable Model.

Jun Ma, Le Lu, Yiqiang Zhan, Xiang Sean Zhou, Marcos Salganicoff, Arun Krishnan

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009

A comparison study of atlas-based image segmentation: the advantage of multi-atlas based on shape clustering.

Xian Fan, Yiqiang Zhan, Gerardo Hermosillo Valadez

Proceedings of the Medical Imaging 2009: Image Processing, 2009

Cross Modality Deformable Segmentation Using Hierarchical Clustering and Learning.

Yiqiang Zhan, Maneesh Dewan, Xiang Sean Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Robust anatomy detection from CT topograms.

Zhigang Peng, Yiqiang Zhan, Xiang Sean Zhou, Arun Krishnan

Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Robust algorithms for anatomic plane primitive detection in MR.

Maneesh Dewan, Yiqiang Zhan, Zhigang Peng, Xiang Sean Zhou

Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008

Non-doped red emission: A solution for bias-independent red emission.

Yiqiang Zhan, J. Zhou, Y. C. Zhou, Y. Wu, E. G. Obbard, X. M. Ding, X. Y. Hou

Displays, 2008

Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images.

Yiqiang Zhan, Xiang Sean Zhou, Zhigang Peng, Arun Krishnan

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

An information theoretic view of the scheduling problem in whole-body CAD.

Yiqiang Zhan, Xiang Sean Zhou, Arun Krishnan

Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

Joint detection and localization of multiple anatomical landmarks through learning.

Mert Dikmen, Yiqiang Zhan, Xiang Sean Zhou

Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

Semantics and CBIR: a medical imaging perspective.

Xiang Sean Zhou, Sonja Zillner, Manuel Möller, Michael Sintek, Yiqiang Zhan, Arun Krishnan, Alok Gupta

Proceedings of the 7th ACM International Conference on Image and Video Retrieval, 2008

2007

Targeted Prostate Biopsy Using Statistical Image Analysis.

Yiqiang Zhan, Dinggang Shen, Jianchao Zeng, Leon Sun, Gabor Fichtinger, Judd W. Moul, Christos Davatzikos

IEEE Trans. Medical Imaging, 2007

2006

Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method.

Yiqiang Zhan, Dinggang Shen

IEEE Trans. Medical Imaging, 2006

An adaptive error penalization method for training an efficient and generalized SVM.

Yiqiang Zhan, Dinggang Shen

Pattern Recognit., 2006

Registering Histological and MR Images of Prostate for Image-Based Cancer Detection.

Yiqiang Zhan, Michael D. Feldman, John Tomaszewski, Christos Davatzikos, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2005

Design efficient support vector machine for fast classification.

Yiqiang Zhan, Dinggang Shen

Pattern Recognit., 2005

Increasing Efficiency of SVM by Adaptively Penalizing Outliers.

Yiqiang Zhan, Dinggang Shen

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

2004

An Efficient Method for Deformable Segmentation of 3D US Prostate Images.

Yiqiang Zhan, Dinggang Shen

Proceedings of the Medical Imaging and Augmented Reality: Second International Workshop, 2004

Deformable Registration of Male Pelvises in CT Images.

Yiqiang Zhan, Dinggang Shen, Russell H. Taylor

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Increasing the Efficiency of Support Vector Machine by Simplifying the Shape of Separation Hypersurface.

Yiqiang Zhan, Dinggang Shen

Proceedings of the Computational and Information Science, First International Symposium, 2004

2003

Segmentation of Prostate Boundaries from Ultrasound Images Using Statistical Shape Model.

Dinggang Shen, Yiqiang Zhan, Christos Davatzikos

IEEE Trans. Medical Imaging, 2003

Automated Segmentation of 3D US Prostate Images Using Statistical Texture-Based Matching Method.

Yiqiang Zhan, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2001

Rapid Object Tracking on Compressed Video.

Hanfeng Chen, Yiqiang Zhan, Feihu Qi

Proceedings of the Advances in Multimedia Information Processing, 2001

2000

Novel approach of combining temporal segmentation results to the region-binding process for separating moving objects from still background.

Tianming Liu, Feihu Qi, Yiqiang Zhan

Proceedings of the Visual Communications and Image Processing 2000, 2000