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ORCIDJiamin Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j48]Jiamin Liu
, Tao Wang, Feng Yao, Witold Pedrycz, Yanjie Song, Renjie He:
Assessing growth potential of careers with occupational mobility network and ensemble framework. Eng. Appl. Artif. Intell. 127(Part A): 107306 (2024)- [j47]Jiamin Liu, Zhao-Yan Li:
Stability analysis and synthesis of discrete-time semi-Markov jump singular systems. Int. J. Control 97(3): 625-634 (2024) - [j46]Jiamin Liu, Hao Wang, Le Hui, Butian Tang, Liwei Zhang, Lei Jiao:
Identifying the Coupling Coordination Relationship between Urbanization and Ecosystem Services Supply-Demand and Its Driving Forces: Case Study in Shaanxi Province, China. Remote. Sens. 16(13): 2383 (2024) - [j45]Jiamin Liu, Zhao-Yan Li:
On σ-error moment stability and stabilization for discrete-time semi-Markov jump linear systems. Syst. Control. Lett. 192: 105909 (2024) - [j44]Fulin Luo, Tianyuan Zhou, Jiamin Liu, Tan Guo, Xiuwen Gong, Xinbo Gao:
DCENet: Diff-Feature Contrast Enhancement Network for Semi-Supervised Hyperspectral Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j43]Wangli Xu, Jiamin Liu, Heng Lian:
Distributed Estimation of Support Vector Machines for Matrix Data. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6643-6653 (2024) - [c65]Wenli Yue, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Zhongfeng Jia, Jiamin Liu, Wenjian Xie:
A Pre-trained Knowledge Tracing Model with Limited Data. DEXA (1) 2024: 163-178 - [c64]Xintao Huan, Wen Chen, Changfan Wu, Jiamin Liu, Yixuan Zou, Shengkang Zhang:
Secure Node Identification Through Covert Clock Feature Extraction. INFOCOM (Workshops) 2024: 1-6 - [c63]Jiamin Liu, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Shenglin Xu, Zhongfeng Jia, Wenli Yue, Bowang Liu:
Attention and Learning Features-Enhanced Knowledge Tracing. KSEM (1) 2024: 41-56 - [i9]Jie Guan, Jiamin Liu, Alexis Morris:
Design Frameworks for Spatial Zone Agents in XRI Metaverse Smart Environments. CoRR abs/2401.11040 (2024) - 2023
- [j42]Jiamin Liu, Patrizio Colaneri, Paolo Bolzern, Zhao-Yan Li:
Necessary and sufficient conditions for moment stability of positive Markov jump linear systems. Appl. Math. Lett. 136: 108449 (2023) - [j41]Ruikai Hong, Bin Xiao, He Yan, Jiamin Liu, Pu Liu, Zhihua Song:
Multitemporal greenhouse mapping for high-resolution remote sensing imagery based on an improved YOLOX. Comput. Electron. Agric. 206: 107689 (2023) - [j40]Yaohong Yang, Lei Wang, Jiamin Liu, Rui Li, Heng Lian:
Communication-efficient estimation of quantile matrix regression for massive datasets. Comput. Stat. Data Anal. 187: 107812 (2023) - [j39]Jiamin Liu, Zhao-Yan Li:
Asymptotic behaviour analysis of stochastic functional differential equations with semi-Markovian switching signal. Int. J. Syst. Sci. 54(1): 42-58 (2023) - [j38]Jiamin Liu, Zhao-Yan Li:
Stabilisation of semi-Markovian jump stochastic systems via asynchronous switching control. J. Frankl. Inst. 360(16): 12640-12660 (2023) - [j37]Jiamin Liu, Wangli Xu, Yue Wang, Heng Lian:
Value iteration for streaming data on a continuous space with gradient method in an RKHS. Neural Networks 166: 437-445 (2023) - [j36]Jiamin Liu, Wangli Xu, Fode Zhang, Heng Lian:
Properties of Standard and Sketched Kernel Fisher Discriminant. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10596-10602 (2023) - [j35]Jiamin Liu, Xiutong Pei, Wanyang Zhu, Jizong Jiao:
Simulation of the Ecological Service Value and Ecological Compensation in Arid Area: A Case Study of Ecologically Vulnerable Oasis. Remote. Sens. 15(16): 3927 (2023) - [j34]Fulin Luo, Tianyuan Zhou, Jiamin Liu, Tan Guo, Xiuwen Gong, Jinchang Ren:
Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j33]Jiamin Liu, Heng Lian:
On Optimal Learning With Random Features. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9536-9541 (2023) - [c62]Jiamin Liu, Tao Wang, Feng Yao, Jingbo Huang, Renjie He, Jiting Li:
Career Cocoons: Analyzing Occupational Mobility with Graph Embedding Model. DSIT 2023: 115-123 - [c61]Jiamin Liu, Jiaming Fang, Lu Liu:
Information Exposure Level and Panic Buying: The Moderation Effect of Gender and Age. DSIT 2023: 176-187 - [c60]Jiamin Liu, Tao Wang, Yu Pan, Feng Yao, Renjie He, Zhongshan Zhang:
Deep Occupational Representations Based on Career Mobility. DTPI 2023: 1-6 - [c59]Juntai Shi, Wei Su, Lei Liu, Shenglin Xu, Tianyuan Huang, Jiamin Liu, Wenli Yue, Shihua Li:
A Deep Memory-Aware Attentive Model for Knowledge Tracing. ICDM (Workshops) 2023: 1581-1590 - [c58]Chengcheng Li, Yasheng Zhang, Zixuan Cui, Yi Zhang, Jiamin Liu, Zilong Yu, Peiying Zhang:
An Overview Of Low Earth Orbit Satellite Routing Algorithms. IWCMC 2023: 866-870 - [i8]Zhongfeng Jia, Wei Su, Jiamin Liu, Wenli Yue:
Attentive Q-Matrix Learning for Knowledge Tracing. CoRR abs/2304.08168 (2023) - 2022
- [j32]Yanyan Ouyang, Jiamin Liu, Tiejun Tong, Wangli Xu:
A rank-based high-dimensional test for equality of mean vectors. Comput. Stat. Data Anal. 173: 107495 (2022) - [j31]Jiamin Liu, Shuangge Ma, Wangli Xu, Liping Zhu:
A generalized Wilcoxon-Mann-Whitney type test for multivariate data through pairwise distance. J. Multivar. Anal. 190: 104946 (2022) - [j30]Fulin Luo, Zehua Zou, Jiamin Liu, Zhiping Lin:
Dimensionality Reduction and Classification of Hyperspectral Image via Multistructure Unified Discriminative Embedding. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c57]Yan Ren, Jiamin Liu:
Multi-scale Convolutional Feature Fusion For 6D Pose Estimation. ICVIP 2022: 84-90 - 2021
- [j29]Jiamin Liu, Zhao-Yan Li, Feiqi Deng:
Asymptotic behavior analysis of Markovian switching neutral-type stochastic time-delay systems. Appl. Math. Comput. 404: 126205 (2021) - [j28]Jiamin Liu, Yueshi Li, Bin Xiao, Jizong Jiao:
Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China). ISPRS Int. J. Geo Inf. 10(6): 403 (2021) - [j27]Heng Lian, Jiamin Liu, Zengyan Fan:
Distributed learning for sketched kernel regression. Neural Networks 143: 368-376 (2021) - [j26]Jiamin Liu, Bin Xiao, Yueshi Li, Xiaoyun Wang, Qiang Bie, Jizong Jiao:
Simulation of Dynamic Urban Expansion under Ecological Constraints Using a Long Short Term Memory Network Model and Cellular Automata. Remote. Sens. 13(8): 1499 (2021) - [j25]Jiamin Liu, Jingbo Huang, Tao Wang, Lining Xing, Renjie He:
A Data-Driven Analysis of Employee Development Based on Working Expertise. IEEE Trans. Comput. Soc. Syst. 8(2): 410-422 (2021) - [c56]Zehua Zou, Fulin Luo, Jiamin Liu, Guangyao Shi, Yufei Liu:
Local Structure Graph Discriminant Embedding for Hyperspectral Image Classification. IGARSS 2021: 2735-2738 - 2020
- [j24]Jiamin Liu, Limei Zhang, Hong Huang, Chao Zheng, Song Yang:
Multiple Characteristics Similarity Metric Method for Hyperspectral Image Classification. IEEE Access 8: 9501-9512 (2020) - [j23]Baolong Geng, Lichen Gu, Jiamin Liu:
Novel Methods for Modeling and Online Measurement of Effective Bulk Modulus of Flowing Oil. IEEE Access 8: 20805-20817 (2020) - [j22]Yiming Tang, Yufei Liu, Hong Huang, Jiamin Liu, Wenjie Xie:
A Scale-Adaptive Particle Filter Tracking Algorithm Based on Offline Trained Multi-Domain Deep Network. IEEE Access 8: 31970-31982 (2020) - [j21]Fulin Luo, Yajuan Huang, Weiping Tu, Jiamin Liu:
Local manifold sparse model for image classification. Neurocomputing 382: 162-173 (2020) - [j20]Zhongyu Li, Jiamin Liu, Zhiqiang Tian, Jihua Zhu, Ce Li, Shaoyi Du:
Adaptive weighted motion averaging with low-rank sparse for robust multi-view registration. Neurocomputing 413: 230-239 (2020) - [j19]Minghai Yao, Jiamin Liu, Yingqi Shen:
Defect detection of magnetic sheets based on convolutional neural network stacked by perception modules. J. Electronic Imaging 29(4): 043004 (2020)
2010 – 2019
- 2019
- [j18]Guangyao Shi, Hong Huang, Jiamin Liu, Zhengying Li, Lihua Wang:
Spatial-Spectral Multiple Manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery. Remote. Sens. 11(20): 2414 (2019) - [c55]Jiamin Liu, Jiting Li, Tao Wang, Renjie He:
Will Your Classmates and Colleagues Affect Your Development in the Workplace: Predicting Employees' Growth Based on Interpersonal Environment. BigDataService 2019: 71-78 - [c54]Hao Wang, Jiamin Liu, Erbao Wang, Jiting Li, Tao Wang, Yingwu Chen:
Predicting Employee Career Development based on Employee Personal Background and Education Status. DSIT 2019: 260-266 - [c53]Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Veit Sandfort, Ronald M. Summers:
A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection. ISBI 2019: 780-783 - [c52]Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jin Xiao, Ronald M. Summers:
Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining. ISBI 2019: 833-836 - [c51]Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers:
A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans. Medical Imaging: Computer-Aided Diagnosis 2019: 109501L - [c50]Jiamin Liu, Tao Wang, Jiting Li, Jingbo Huang, Feng Yao, Renjie He:
A Data-driven Analysis of Employee Promotion: The Role of the Position of Organization. SMC 2019: 4056-4062 - [i7]Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers:
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining. CoRR abs/1901.06359 (2019) - 2018
- [c49]Jiamin Liu, Yan Chang, Dong Wei, Dapeng Wang, Tieyan Zhang:
An Information Monitoring Platform for Thermal Energy Storage Systems Using Cloud Computing. CCIOT 2018: 19-24 - [c48]Jiamin Liu, Jindong Yu, Chudi Wang, Xia Zhang:
An ORB Feature Matching Algorithm for Mobile Devices. ICCAE 2018: 116-119 - [c47]Yuxi Long, Jiamin Liu, Ming Fang, Tao Wang, Wei Jiang:
Prediction of Employee Promotion Based on Personal Basic Features and Post Features. ICDPA 2018: 5-10 - [c46]Jiamin Liu, Yuxi Long, Ming Fang, Renjie He, Tao Wang, Guosheng Chen:
Analyzing Employee Turnover Based on Job Skills. ICDPA 2018: 16-21 - [c45]Jiamin Liu, Jinzheng Cai, Karthik Chellamuthu, Mohammadhadi Bagheri, Le Lu, Ronald M. Summers:
Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans. ISBI 2018: 1092-1095 - [c44]Jiamin Liu, Karthik Chellamuthu, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers:
A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans. Medical Imaging: Computer-Aided Diagnosis 2018: 105753B - 2017
- [j17]Shuyi Chen, Ruofei Ma, Hsiao-Hwa Chen, Hong Zhang, Weixiao Meng, Jiamin Liu:
Machine-to-Machine Communications in Ultra-Dense Networks - A Survey. IEEE Commun. Surv. Tutorials 19(3): 1478-1503 (2017) - [j16]Fulin Luo, Hong Huang, Yule Duan, Jiamin Liu, Yinghua Liao:
Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery. Remote. Sens. 9(8): 790 (2017) - [j15]Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling. IEEE Trans. Image Process. 26(1): 386-399 (2017) - [c43]Meimei Han, Mingwen Tong, Mengyuan Chen, Jiamin Liu, Chunmiao Liu:
Application of Ensemble Algorithm in Students' Performance Prediction. IIAI-AAI 2017: 735-740 - [c42]Karthik Chellamuthu, Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Le Lu, Veit Sandfort, Ronald M. Summers:
Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks. ISBI 2017: 388-391 - [c41]Jiamin Liu, Peng Zhang, Huanzhao Wang, Chengchen Hu:
CounterMap: Towards generic traffic statistics collection and query in Software Defined Network. IWQoS 2017: 1-5 - [c40]Jiamin Liu, Le Lu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers:
Pelvic artery calcification detection on CT scans using convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2017: 101341A - [c39]Jiamin Liu, Yuanqi Su, Yuehu Liu:
Multi-modal Emotion Recognition with Temporal-Band Attention Based on LSTM-RNN. PCM (1) 2017: 194-204 - [p2]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 35-48 - [p1]Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 279-302 - 2016
- [j14]Fulin Luo, Hong Huang, Zezhong Ma, Jiamin Liu:
Semisupervised Sparse Manifold Discriminative Analysis for Feature Extraction of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(10): 6197-6211 (2016) - [j13]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. IEEE Trans. Medical Imaging 35(5): 1170-1181 (2016) - [c38]Jiamin Liu, David Wang, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers:
Colitis detection on computed tomography using regional convolutional neural networks. ISBI 2016: 863-866 - [c37]Jiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers:
Colitis detection on abdominal CT scans by rich feature hierarchies. Medical Imaging: Computer-Aided Diagnosis 2016: 97851N - [c36]Yinong Wang, Jianhua Yao, Joseph E. Burns, Jiamin Liu, Ronald M. Summers:
Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks. CSI@MICCAI 2016: 116-124 - 2015
- [c35]Jiamin Liu, Divya Narayanan, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers:
Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest. ISBI 2015: 1114-1117 - [c34]Joanne Hoffman, Jiamin Liu, Evrim Turkbey, Lauren Kim, Ronald M. Summers:
Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation. Medical Imaging: Computer-Aided Diagnosis 2015: 94141R - [c33]Jiamin Liu, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers:
Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest. Medical Imaging: Computer-Aided Diagnosis 2015: 941413 - [c32]Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers:
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. MICCAI (1) 2015: 556-564 - [c31]Jinbo Liu, Shaohui Sun, Jiamin Liu, Yuan He:
Hypergraph-Based Intercell Interference Coordination for QoS Guarantees in Dense Femtocell Networks. VTC Spring 2015: 1-6 - [i6]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation. CoRR abs/1505.03046 (2015) - [i5]Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling. CoRR abs/1505.06236 (2015) - [i4]Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. CoRR abs/1506.06448 (2015) - 2014
- [j12]Jiamin Liu, Sanket Pattanaik, Jianhua Yao, Evrim Turkbey, Weidong Zhang, Xiao Zhang, Ronald M. Summers:
Computer aided detection of epidural masses on computed tomography scans. Comput. Medical Imaging Graph. 38(7): 606-612 (2014) - [j11]Fulin Luo, Jiamin Liu, Hong Huang, Yumei Liu:
Hyperspectral Image Classification using Local spectral angle-Based Manifold Learning. Int. J. Pattern Recognit. Artif. Intell. 28(6) (2014) - [c30]Hong Huang, Fulin Luo, Jiamin Liu, Zezhong Ma:
Sparse Manifold Preserving for Hyperspectral Image Classification. CCPR (1) 2014: 210-218 - [c29]Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Le Lu, Evrim Turkbey, Christine Kim, Ronald M. Summers:
Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion. ISBI 2014: 1107-1110 - [c28]Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Weidong Zhang, Evrim B. Turkbey, Shijun Wang, Christine Kim, Ronald M. Summers:
Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion. Medical Imaging: Computer-Aided Diagnosis 2014: 90350M - [c27]Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers:
Reducing false positives of small bowel segmentation on CT scans by localizing colon regions. Medical Imaging: Computer-Aided Diagnosis 2014: 90350Z - [c26]Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers:
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. ABDI@MICCAI 2014: 103-113 - [c25]Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. MICCAI (1) 2014: 520-527 - [c24]Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers:
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. MICCAI (1) 2014: 544-552 - [c23]David Allen, Le Lu, Jianhua Yao, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
Robust automated lymph node segmentation with random forests. Medical Imaging: Image Processing 2014: 90343X - [i3]Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations. CoRR abs/1406.2639 (2014) - [i2]Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers:
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. CoRR abs/1407.8497 (2014) - [i1]Ari Seff, Le Lu, Kevin M. Cherry, Holger Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers:
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. CoRR abs/1408.3337 (2014) - 2013
- [j10]Weidong Zhang, Jiamin Liu, Jianhua Yao, Adeline Louie, Tan B. Nguyen, Stephen Wank, Wieslaw L. Nowinski, Ronald M. Summers:
Mesenteric Vasculature-Guided Small Bowel Segmentation on 3-D CT. IEEE Trans. Medical Imaging 32(11): 2006-2021 (2013) - [c22]Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers:
Automatic anatomical labeling of abdominal arteries for small bowel evaluation on 3D CT scans. ISBI 2013: 210-213 - [c21]Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers:
Segmenting the thoracic, abdominal and pelvic musculature on CT scans combining atlas-based model and active contour model. Medical Imaging: Computer-Aided Diagnosis 2013: 867008 - [c20]Shijun Wang, Matthew McKenna, Zhuoshi Wei, Jiamin Liu, Peter Liu, Ronald M. Summers:
Visual Phrase Learning and Its Application in Computed Tomographic Colonography. MICCAI (1) 2013: 243-250 - 2012
- [j9]Hong Huang, Jianwei Li, Jiamin Liu:
Gene expression data classification based on improved semi-supervised local Fisher discriminant analysis. Expert Syst. Appl. 39(3): 2314-2320 (2012) - [j8]Hong Huang, Jianwei Li, Jiamin Liu:
Enhanced semi-supervised local Fisher discriminant analysis for face recognition. Future Gener. Comput. Syst. 28(1): 244-253 (2012) - [j7]Jiamin Liu, Kevin W. Chang, Jianhua Yao, Ronald M. Summers:
Predicting Polyp Location on Optical Colonoscopy From CT Colonography by Minimal-Energy Curve Modeling of the Colonoscope Path. IEEE Trans. Biomed. Eng. 59(12): 3531-3540 (2012) - [c19]Weidong Zhang, Jiamin Liu, Jianhua Yao, Tan B. Nguyen, Adeline Louie, Stephen Wank, Wieslaw L. Nowinski, Ronald M. Summers:
Mesenteric vasculature-guided small bowel segmentation on high-resolution 3D CT angiography scans. ISBI 2012: 1280-1283 - [c18]Jiamin Liu, Chin-Hsiang Feng, Jeremy Hua, Jianhua Yao, Jacob M. White, Ronald M. Summers:
Automatic detection and segmentation of abdominopelvic lymph nodes on computed tomography scans. ISBI 2012: 1455-1458 - [c17]Jiamin Liu, Jeremy Hua, Vivek Chellappa, Nicholas Petrick, Berkman Sahiner, Mohammed Farooqui, Gerald Marti, Adrian Wiestner, Ronald M. Summers:
Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients. Medical Imaging: Computer-Aided Diagnosis 2012: 83150B - [c16]Zhuoshi Wei, Jianhua Yao, Shijun Wang, Jiamin Liu, Ronald M. Summers:
Computer-aided marginal artery detection on computed tomographic colonography. Medical Imaging: Computer-Aided Diagnosis 2012: 83150Z - [c15]Weidong Zhang, Jiamin Liu, Jianhua Yao, Tan Nguyen, Adeline Louie, Stephen Wank, Ronald M. Summers:
Computer-aided mesenteric small vessel segmentation on high-resolution 3D contrast-enhanced CT angiography scans. Medical Imaging: Computer-Aided Diagnosis 2012: 83151T - 2011
- [j6]Jiamin Liu, Yong Yue, Zongran Dong, Carsten Maple, Malcolm Keech:
A novel hybrid tabu search approach to container loading. Comput. Oper. Res. 38(4): 797-807 (2011) - [j5]Hong Huang, Jiamin Liu, Hailiang Feng, Tongdi He:
Ear recognition based on uncorrelated local Fisher discriminant analysis. Neurocomputing 74(17): 3103-3113 (2011) - [j4]Hong Huang, Jiamin Liu, Hailiang Feng:
Uncorrelated Local Fisher Discriminant Analysis for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 25(6): 863-887 (2011) - [c14]Hong Huang, Jiamin Liu, Yinsong Pan:
Local Fisher Discriminant Analysis with Maximum Margin Criterion for Image Recognition. CGIV 2011: 92-97 - [c13]Jiamin Liu, Jeremy Hua, Jianhua Yao, Jacob M. White, Ronald M. Summers:
Computer-aided abdominal lymph node detection using contrast-enhanced CT images. Medical Imaging: Computer-Aided Diagnosis 2011: 796313 - 2010
- [c12]Jiamin Liu, Jacob M. White, Ronald M. Summers:
Automated detection of blob structures by Hessian analysis and object scale. ICIP 2010: 841-844 - [c11]Kevin W. Chang, Jiamin Liu, Jianhua Yao, Ronald M. Summers:
Improved method for predicting polyp location from CT colonography for optical colonoscopy. ICIP 2010: 4365-4368 - [c10]Jiamin Liu, Jacob M. White, Ronald M. Summers:
Computer-aided lymph node detection in abdominal CT images. Medical Imaging: Computer-Aided Diagnosis 2010: 76240U
2000 – 2009
- 2009
- [j3]Ying Zhuge, Jayaram K. Udupa, Jiamin Liu, Punam K. Saha:
Image background inhomogeneity correction in MRI via intensity standardization. Comput. Medical Imaging Graph. 33(1): 7-16 (2009) - [j2]Jiamin Liu, Jayaram K. Udupa:
Oriented Active Shape Models. IEEE Trans. Medical Imaging 28(4): 571-584 (2009) - [c9]Shijun Wang, Jianhua Yao, Jiamin Liu, Nicholas Petrick, Ronald M. Summers:
Centerline Registration of Prone and Supine CT Colonography Scans Based on Correlation Optimized Warping and Anatomical Landmarks. ISBI 2009: 955-958 - [c8]Jiamin Liu, Shijun Wang, Suraj Kabadi, Ronald M. Summers:
High-performance computer aided detection system for polyp detection in CT colonography with fluid and fecal tagging. Medical Imaging: Computer-Aided Diagnosis 2009: 72601B - 2007
- [c7]Anna K. Jerebko, Gerwin P. Schmidt, Xiang Sean Zhou, Jinbo Bi, Vikram Anand, Jiamin Liu, Stefan Schoenberg, Ingo Schmuecking, Berthold Kiefer, Arun Krishnan:
Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI. IPMI 2007: 713-724 - [c6]Jiamin Liu, Jayaram K. Udupa:
Oriented active shape models for 3D segmentation in medical images. Medical Imaging: Image Processing 2007: 65122H - 2006
- [c5]Jiamin Liu, Jayaram K. Udupa:
Oriented active shape models. Medical Imaging: Image Processing 2006: 614404 - 2005
- [c4]Jiamin Liu, Jayaram K. Udupa, Punam Kumar Saha, Dewey Odhner, Bruce Elliot Hirsch, Sorin Siegler, Scott Simon, Beth A. Winkelstein:
Model-based 3D segmentation of the bones of joints in medical images. Medical Imaging: Image Processing 2005 - 2003
- [c3]Jiamin Liu, Jayaram K. Udupa, Punam K. Saha, Dewey Odhner, Bruce Elliot Hirsch, Sorin Siegler:
Model-based 3D segmentation of the bones of the ankle and subtalar joints in MR images. Medical Imaging: Image Processing 2003 - [c2]Ying Zhuge, Jiamin Liu, Jayaram K. Udupa:
Membership-based multiprotocol MR brain image segmentation. Medical Imaging: Image Processing 2003 - 2002
- [c1]Ying Zhuge, Jayaram K. Udupa, Jiamin Liu, Punam K. Saha, Tad Iwanaga:
Scale-based method for correcting background intensity variation in acquired images. Medical Imaging: Image Processing 2002 - 2001
- [j1]Li Yao, Jiamin Liu, Yonggui Xie, Liu-qing Pei:
Medical image segmentation based on cellular neural network. Sci. China Ser. F Inf. Sci. 44(1): 68-72 (2001)
Coauthor Index
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
