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2020 – today
- 2024
[c74]Xi Ouyang, Dongdong Gu, Xuejian Li, Wenqi Zhou, Qianqian Chen, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi, Zhong Xue, Dinggang Shen:
Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. MICCAI (8) 2024: 522-532- 2023
- [j23]Xin Wang, Jun Wang
, Fei Shan, Yiqiang Zhan, Jun Shi, Dinggang Shen:
Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning. Comput. Biol. Medicine 159: 106890 (2023) - [j22]Jiuqing Feng, Yizhou Jiang, Kai Wang, Jianzheng Li, Jialong Zhang, Mi Tian, Guoping Chen, Laigui Hu, Yiqiang Zhan, Yajie Qin:
An Energy-Efficient Flexible Multi-Modal Wireless Sweat Sensing System Based on Laser Induced Graphene. Sensors 23(10): 4818 (2023) - [j21]Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang:
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. IEEE Trans. Medical Imaging 42(2): 368-379 (2023) - [j20]Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen:
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. IEEE Trans. Medical Imaging 42(11): 3155-3166 (2023) - [c73]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:
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. ISBI 2023: 1-4 - [c72]Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen:
Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. ISBI 2023: 1-4 - [c71]Lanzhuju Mei, Yu Fang, Zhiming Cui, Ke Deng, Nizhuan Wang, Xuming He, Yiqiang Zhan, Xiang Zhou, Maurizio Tonetti, Dinggang Shen:
HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis. MICCAI (6) 2023: 54-63 - [c70]Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen:
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. MICCAI (3) 2023: 551-560 - [c69]Shanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue, Dinggang Shen:
Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI. MLMI@MICCAI (1) 2023: 157-165 - 2022
- [c68]Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen:
TaG-Net: Topology-Aware Graph Network for Vessel Labeling. ISGIE/GRAIL@MICCAI 2022: 108-117 - [c67]Yu Fang, Zhiming Cui, Lei Ma, Lanzhuju Mei, Bojun Zhang, Yue Zhao, Zhihao Jiang, Yiqiang Zhan, Yongsheng Pan, Min Zhu, Dinggang Shen:
Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images. MICCAI (5) 2022: 225-234 - [c66]Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen:
Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. MLMI@MICCAI 2022: 230-238 - [c65]Xiao Zhang, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen:
Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning. MICCAI (5) 2022: 391-400 - [i4]Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang:
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. CoRR abs/2201.04318 (2022) - [i3]Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen:
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion. CoRR abs/2207.03430 (2022) - 2021
- [c64]Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen:
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. MICCAI (7) 2021: 78-87 - [c63]Haoyi Tao, Yuanfang Qiao, Lichi Zhang, Yiqiang Zhan, Zhong Xue, Qian Wang:
Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head. PRIME@MICCAI 2021: 212-220 - [c62]Wenjun Shen, Liyun Chen, Dongming Wei, Yuanfang Qiao, Yiqiang Zhan, Dinggang Shen, Qian Wang:
A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI. MLMI@MICCAI 2021: 219-227 - [c61]Zhenrong Shen, Xi Ouyang, Zhuochen Wang, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen:
Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection. PRCV (3) 2021: 536-547 - 2020
- [j19]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction". IEEE Trans. Biomed. Eng. 67(9): 2705 (2020) - [c60]Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen:
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. MLMI@MICCAI 2020: 474-483
2010 – 2019
- 2019
- [j18]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction. IEEE Trans. Biomed. Eng. 66(7): 2105-2114 (2019) - [j17]Xuhua Ren, Tingting Li, Xiujun Yang, Shuai Wang, Sahar Ahmad, Lei Xiang, Shaun Richard Stone, Lihong Li, Yiqiang Zhan, Dinggang Shen, Qian Wang:
Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph. IEEE J. Biomed. Health Informatics 23(5): 2030-2038 (2019) - [c59]Yunhao Ge, Dongming Wei, Zhong Xue, Qian Wang, Xiang Zhou, Yiqiang Zhan, Shu Liao:
Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning. ISBI 2019: 1096-1099 - [c58]Miaofei Han, Guang Yao, Wenhai Zhang, Guangrui Mu, Yiqiang Zhan, Xiang Zhou, Yaozong Gao:
Segmentation of CT Thoracic Organs by Multi-resolution VB-nets. SegTHOR@ISBI 2019 - [c57]Guangrui Mu, Yiyi Ma, Miaofei Han, Yiqiang Zhan, Xiang Zhou, Yaozong Gao:
Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease. Computer-Aided Diagnosis 2019: 109500X - [c56]Qingfeng Li, Quan Huo, Xiaodan Xing, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi:
Spatial and depth weighted neural network for diagnosis of Alzheimer's disease. Computer-Aided Diagnosis 2019: 1095028 - [c55]Kai Xuan, Dongming Wei, Dijia Wu, Zhong Xue, Yiqiang Zhan, Weiwu Yao, Qian Wang:
Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization. MICCAI (3) 2019: 65-73 - [c54]Qin Liu, Xiongfeng Tang, Deming Guo, Yanguo Qin, Pengfei Jia, Yiqiang Zhan, Xiang Zhou, Dijia Wu:
Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation. MICCAI (6) 2019: 86-94 - [c53]Qingfeng Li, Xiaodan Xing, Ying Sun, Bin Xiao, Hao Wei, Quan Huo, Minqing Zhang, Xiang Sean Zhou, Yiqiang Zhan, Zhong Xue, Feng Shi:
Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression. MICCAI (4) 2019: 307-315 - [c52]Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi:
Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. MLMI@MICCAI 2019: 409-416 - [c51]Guangrui Mu, Yanbo Chen, Dijia Wu, Yiqiang Zhan, Xiang Sean Zhou, Yaozong Gao:
Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection. MLMI@MICCAI 2019: 444-452 - [c50]Xi Ouyang, Zhong Xue, Yiqiang Zhan, Xiang Sean Zhou, Qingfeng Wang, Ying Zhou, Qian Wang, Jie-Zhi Cheng:
Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray. MICCAI (6) 2019: 613-621 - [c49]Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi:
Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis. MICCAI (4) 2019: 639-646 - [c48]Minqing Zhang, Dijia Wu, Qin Liu, Qingfeng Li, Yiqiang Zhan, Xiang Sean Zhou:
Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph. MLMI@MICCAI 2019: 681-689 - [c47]Miaofei Han, Yu Zhang, Qiangqiang Zhou, Chengcheng Rong, Yiqiang Zhan, Xiang Zhou, Yaozong Gao:
Large-scale evaluation of V-Net for organ segmentation in image guided radiation therapy. Image-Guided Procedures 2019: 109510O - 2018
- [j16]Jiawei Xu, Yuxiang Huan, Kunlong Yang, Yiqiang Zhan, Zhuo Zou, Li-Rong Zheng:
Optimized Near-Zero Quantization Method for Flexible Memristor Based Neural Network. IEEE Access 6: 29320-29331 (2018) - [j15]Kunlong Yang, Yuxiang Huan, Jiawei Xu, Zhuo Zou, Yiqiang Zhan, Li-Rong Zheng, Fernando Seoane:
Universal and Convenient Optimization Strategies for Three-Terminal Memristors. IEEE Access 6: 48815-48826 (2018) - [c46]Halid Ziya Yerebakan, Yoshihisa Shinagawa, Parmeet S. Bhatia, Yiqiang Zhan:
Document Representation Learning for Patient History Visualization. COLING (Demos) 2018: 30-33 - [c45]Chaowei Tan, Liang Zhao, Zhennan Yan, Kang Li, Dimitris N. Metaxas, Yiqiang Zhan:
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation. ISBI 2018: 1221-1224 - [c44]Yiyuan Zhao, Liang Zhao, Zhennan Yan, Matthias Wolf, Yiqiang Zhan:
A deep-learning based automatic pulmonary nodule detection system. Computer-Aided Diagnosis 2018: 1057537 - [c43]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information. MICCAI (1) 2018: 215-223 - [c42]Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong, Gerardo Hermosillo, Tianming Liu, Xiang Sean Zhou, Yiqiang Zhan:
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks. MICCAI (1) 2018: 286-294 - [c41]Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen:
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF). MLMI@MICCAI 2018: 398-405 - [e4]Wenjia Bai, Gerard Sanroma, Guorong Wu, Brent C. Munsell, Yiqiang Zhan, Pierrick Coupé:
Patch-Based Techniques in Medical Imaging - 4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11075, Springer 2018, ISBN 978-3-030-00499-6 [contents] - 2017
- [c40]Yunxiang Mao, Dong Zheng, Shu Liao, Zhigang Peng, Ruyi Yan, Junhua Liu, Zhongxing Dong, Liyan Gong, Xiang Sean Zhou, Yiqiang Zhan, Jun Fei:
Automatic lumbar spine measurement in CT images. Computer-Aided Diagnosis 2017: 1013446 - [c39]Parmeet S. Bhatia, Fitsum A. Reda, Martin Harder, Yiqiang Zhan, Xiang Sean Zhou:
Real time coarse orientation detection in MR scans using multi-planar deep convolutional neural networks. Image Processing 2017: 1013303 - [p2]Zhennan Yan, Yiqiang Zhan, Shaoting Zhang, Dimitris N. Metaxas, Xiang Sean Zhou:
Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition. Deep Learning for Medical Image Analysis 2017: 83-104 - [e3]Guorong Wu, Brent C. Munsell, Yiqiang Zhan, Wenjia Bai, Gerard Sanroma, Pierrick Coupé:
Patch-Based Techniques in Medical Imaging - Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10530, Springer 2017, ISBN 978-3-319-67433-9 [contents] - 2016
- [j14]Zhennan Yan, Yiqiang Zhan, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Shaoting Zhang, Dimitris N. Metaxas, Xiang Sean Zhou:
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition. IEEE Trans. Medical Imaging 35(5): 1332-1343 (2016) - [j13]Shu Liao, Yiqiang Zhan, Zhongxing Dong, Ruyi Yan, Liyan Gong, Xiang Sean Zhou, Marcos Salganicoff, Jun Fei:
Automatic Lumbar Spondylolisthesis Measurement in CT Images. IEEE Trans. Medical Imaging 35(7): 1658-1669 (2016) - [c38]Liang Zhao, Yiqiang Zhan, Dominik Nickel, Matthias Fenchel, Berthold Kiefer, Xiang Sean Zhou:
Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks. Patch-MI@MICCAI 2016: 125-132 - [c37]Bin Kong, Yiqiang Zhan, Min C. Shin, Thomas Denny, Shaoting Zhang:
Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network. MICCAI (3) 2016: 264-272 - [e2]Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert:
Patch-Based Techniques in Medical Imaging - Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings. Lecture Notes in Computer Science 9993, 2016, ISBN 978-3-319-47117-4 [contents] - [i2]Halid Ziya Yerebakan, Fitsum A. Reda, Yiqiang Zhan, Yoshihisa Shinagawa:
Hierarchical Latent Word Clustering. CoRR abs/1601.05472 (2016) - 2015
- [c36]Zhennan Yan, Yiqiang Zhan, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Dimitris N. Metaxas, Xiang Sean Zhou:
Bodypart Recognition Using Multi-stage Deep Learning. IPMI 2015: 449-461 - [c35]Fitsum A. Reda, Yiqiang Zhan, Xiang Sean Zhou:
A Steering Engine: Learning 3-D Anatomy Orientation Using Regression Forests. MICCAI (3) 2015: 612-619 - [p1]Shu Liao, Shipeng Yu, Matthias Wolf, Gerardo Hermosillo, Yiqiang Zhan, Yoshihisa Shinagawa, Zhigang Peng, Xiang Sean Zhou, Luca Bogoni, Marcos Salganicoff:
Computer-Assisted Medical Image Analysis Systems. Healthcare Data Analytics 2015: 657-683 - [e1]Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert:
Patch-Based Techniques in Medical Imaging - First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9467, Springer 2015, ISBN 978-3-319-28193-3 [contents] - 2014
- [j12]Yaozong Gao, Yiqiang Zhan, Dinggang Shen:
Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. IEEE Trans. Medical Imaging 33(2): 518-534 (2014) - [c34]Mingchen Gao, Yiqiang Zhan, Gerardo Hermosillo Valadez, Yoshihisa Shinagawa, Dimitris N. Metaxas, Xiang Sean Zhou:
Saliency-based rotation invariant descriptor for wrist detection in whole body CT images. ISBI 2014: 117-120 - [c33]Bilwaj Gaonkar, Shu Liao, Gerardo Hermosillo, Yiqiang Zhan:
Adaptive geodesic transform for segmentation of vertebrae on CT images. Computer-Aided Diagnosis 2014: 903516 - [c32]Fitsum A. Reda, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Yiqiang Zhan, Gerardo Hermosillo, Xiang Sean Zhou:
Sparse appearance model-based algorithm for automatic segmentation and identification of articulated hand bones. Image Processing 2014: 90341O - [c31]Hongda Mao, Zhigang Peng, Frank Dennerlein, Yoshihisa Shinagawa, Yiqiang Zhan, Xiang Sean Zhou:
Multi-view learning based robust collimation detection in digital radiographs. Image Processing 2014: 903421 - 2013
- [j11]Shaoting Zhang, Yiqiang Zhan, Xinyi Cui, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas:
3D anatomical shape atlas construction using mesh quality preserved deformable models. Comput. Vis. Image Underst. 117(9): 1061-1071 (2013) - [c30]Yanrong Guo, Yiqiang Zhan, Yaozong Gao, Jianguo Jiang, Dinggang Shen:
MR prostate segmentation via distributed discriminative dictionary (DDD) learning. ISBI 2013: 868-871 - [c29]Yaozong Gao, Yiqiang Zhan, Dinggang Shen:
Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. MICCAI (2) 2013: 378-386 - [c28]Maneesh Dewan, Yiqiang Zhan, Gerardo Hermosillo, Bing Jian, Xiang Sean Zhou:
Brain PET Attenuation Correction without CT: An Investigation. PRNI 2013: 110-113 - 2012
- [j10]Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou:
Towards robust and effective shape modeling: Sparse shape composition. Medical Image Anal. 16(1): 265-277 (2012) - [j9]Shaoting Zhang, Yiqiang Zhan, Dimitris N. Metaxas:
Deformable segmentation via sparse representation and dictionary learning. Medical Image Anal. 16(7): 1385-1396 (2012) - [j8]Xiang Sean Zhou, Yiqiang Zhan, Vikas C. Raykar, Gerardo Hermosillo Valadez, Luca Bogoni, Zhigang Peng:
Mining anatomical, physiological and pathological information from medical images. SIGKDD Explor. 14(1): 25-34 (2012) - [c27]Shaoting Zhang, Yiqiang Zhan, Yan Zhou, Dimitris N. Metaxas:
Efficient sparse shape composition with its applications in biomedical image analysis: An overview. ISBI 2012: 976-979 - [c26]Zhao Yi, Stefano Soatto, Maneesh Dewan, Yiqiang Zhan:
Information Forests. ITA 2012: 143-146 - [c25]Xinyi Cui, Shaoting Zhang, Yiqiang Zhan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas:
3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models. MeshMed 2012: 12-21 - [c24]Yiqiang Zhan, Maneesh Dewan, Martin Harder, Xiang Sean Zhou:
Robust MR Spine Detection Using Hierarchical Learning and Local Articulated Model. MICCAI (1) 2012: 141-148 - [c23]Shaoting Zhang, Yiqiang Zhan, Yan Zhou, Mustafa Gökhan Uzunbas, Dimitris N. Metaxas:
Shape Prior Modeling Using Sparse Representation and Online Dictionary Learning. MICCAI (3) 2012: 435-442 - [i1]Zhao Yi, Stefano Soatto, Maneesh Dewan, Yiqiang Zhan:
Information Forests. CoRR abs/1202.1523 (2012) - 2011
- [j7]Yiqiang Zhan, Maneesh Dewan, Martin Harder, Arun Krishnan, Xiang Sean Zhou:
Robust Automatic Knee MR Slice Positioning Through Redundant and Hierarchical Anatomy Detection. IEEE Trans. Medical Imaging 30(12): 2087-2100 (2011) - [c22]Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou:
Sparse shape composition: A new framework for shape prior modeling. CVPR 2011: 1025-1032 - [c21]Yiqiang Zhan, Maneesh Dewan, Xiang Sean Zhou:
Auto-alignment of Knee MR Scout Scans through Redundant, Adaptive and Hierarchical Anatomy Detection. IPMI 2011: 111-122 - [c20]Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou:
Deformable Segmentation via Sparse Shape Representation. MICCAI (2) 2011: 451-458 - [c19]Ting Chen, Yiqiang Zhan, Shaoting Zhang, Maneesh Dewan:
Automatic Alignment of Brain MR Scout Scans Using Data-adaptive Multi-structural Model. MICCAI (2) 2011: 574-581 - 2010
- [c18]Jun Ma, Le Lu, Yiqiang Zhan, Xiang Sean Zhou, Marcos Salganicoff, Arun Krishnan:
Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-Based Edge Detection and Coarse-to-Fine Deformable Model. MICCAI (1) 2010: 19-27 - [c17]Xiang Sean Zhou, Zhigang Peng, Yiqiang Zhan, Maneesh Dewan, Bing Jian, Arun Krishnan, Yimo Tao, Martin Harder, Stefan Grosskopf, Ute Feuerlein:
Redundancy, redundancy, redundancy: the three keys to highly robust anatomical parsing in medical images. Multimedia Information Retrieval 2010: 175-184
2000 – 2009
- 2009
- [c16]Maneesh Dewan, Yiqiang Zhan, Zhigang Peng, Xiang Sean Zhou:
Robust algorithms for anatomic plane primitive detection in MR. Computer-Aided Diagnosis 2009: 72601C - [c15]Zhigang Peng, Yiqiang Zhan, Xiang Sean Zhou, Arun Krishnan:
Robust anatomy detection from CT topograms. Computer-Aided Diagnosis 2009: 72603X - [c14]Yiqiang Zhan, Maneesh Dewan, Xiang Sean Zhou:
Cross Modality Deformable Segmentation Using Hierarchical Clustering and Learning. MICCAI (1) 2009: 1033-1041 - [c13]Xian Fan, Yiqiang Zhan, Gerardo Hermosillo Valadez:
A comparison study of atlas-based image segmentation: the advantage of multi-atlas based on shape clustering. Image Processing 2009: 725919 - 2008
- [j6]Yiqiang Zhan, J. Zhou, Y. C. Zhou, Y. Wu, E. G. Obbard, X. M. Ding, X. Y. Hou:
Non-doped red emission: A solution for bias-independent red emission. Displays 29(5): 541-544 (2008) - [c12]Xiang Sean Zhou, Sonja Zillner, Manuel Möller, Michael Sintek, Yiqiang Zhan, Arun Krishnan, Alok Gupta:
Semantics and CBIR: a medical imaging perspective. CIVR 2008: 571-580 - [c11]Yiqiang Zhan, Xiang Sean Zhou, Arun Krishnan:
An information theoretic view of the scheduling problem in whole-body CAD. Computer-Aided Diagnosis 2008: 691515 - [c10]Mert Dikmen, Yiqiang Zhan, Xiang Sean Zhou:
Joint detection and localization of multiple anatomical landmarks through learning. Computer-Aided Diagnosis 2008: 691538 - [c9]Yiqiang Zhan, Xiang Sean Zhou, Zhigang Peng, Arun Krishnan:
Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images. MICCAI (1) 2008: 313-321 - 2007
- [j5]Yiqiang Zhan, Dinggang Shen, Jianchao Zeng, Leon Sun, Gabor Fichtinger, Judd W. Moul, Christos Davatzikos:
Targeted Prostate Biopsy Using Statistical Image Analysis. IEEE Trans. Medical Imaging 26(6): 779-788 (2007) - 2006
- [j4]Yiqiang Zhan, Dinggang Shen:
An adaptive error penalization method for training an efficient and generalized SVM. Pattern Recognit. 39(3): 342-350 (2006) - [j3]Yiqiang Zhan, Dinggang Shen:
Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method. IEEE Trans. Medical Imaging 25(3): 256-272 (2006) - [c8]Yiqiang Zhan, Michael D. Feldman, John Tomaszewski, Christos Davatzikos, Dinggang Shen:
Registering Histological and MR Images of Prostate for Image-Based Cancer Detection. MICCAI (2) 2006: 620-628 - 2005
- [j2]Yiqiang Zhan, Dinggang Shen:
Design efficient support vector machine for fast classification. Pattern Recognit. 38(1): 157-161 (2005) - [c7]Yiqiang Zhan, Dinggang Shen:
Increasing Efficiency of SVM by Adaptively Penalizing Outliers. EMMCVPR 2005: 539-551 - 2004
- [c6]Yiqiang Zhan, Dinggang Shen:
Increasing the Efficiency of Support Vector Machine by Simplifying the Shape of Separation Hypersurface. CIS 2004: 732-738 - [c5]Yiqiang Zhan, Dinggang Shen, Russell H. Taylor:
Deformable Registration of Male Pelvises in CT Images. ISBI 2004: 1463-1466 - [c4]Yiqiang Zhan, Dinggang Shen:
An Efficient Method for Deformable Segmentation of 3D US Prostate Images. MIAR 2004: 103-112 - 2003
- [j1]Dinggang Shen, Yiqiang Zhan, Christos Davatzikos:
Segmentation of Prostate Boundaries from Ultrasound Images Using Statistical Shape Model. IEEE Trans. Medical Imaging 22(4): 539-551 (2003) - [c3]Yiqiang Zhan, Dinggang Shen:
Automated Segmentation of 3D US Prostate Images Using Statistical Texture-Based Matching Method. MICCAI (1) 2003: 688-696 - 2001
- [c2]Hanfeng Chen, Yiqiang Zhan, Feihu Qi:
Rapid Object Tracking on Compressed Video. IEEE Pacific Rim Conference on Multimedia 2001: 1066-1071 - 2000
- [c1]Tianming Liu, Feihu Qi, Yiqiang Zhan:
Novel approach of combining temporal segmentation results to the region-binding process for separating moving objects from still background. VCIP 2000: 1066-1075
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-12-08 01:32 CET by the dblp team
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