Jiamin Liu

149 papers B 12C 1Journal 79Unranked 55
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Proposal-Free Query-Guided Network for Grounded Multimodal Named Entity Recognition.
CoRR
Hongbing Li, Jiamin Liu, Shuo Zhang, Bo Xiao
2026 J jnl
Almost surely exponential stability of nonlinear stochastic systems with random impulses and its application in chaos synchronization.
Commun. Nonlinear Sci. Numer. Simul.
Zenghui Hu, Jiamin Liu, Yiming Wang, Lijie You
2026 J jnl
Attentive Q-matrix learning for knowledge tracing.
Appl. Intell.
Zhongfeng Jia, Wei Su, Jiamin Liu, Wenli Yue
2026 J jnl
Linear convergence of proximal gradient method for linear sparse SVM.
Neural Networks
Xiaoqi Jiao, Heng Lian, Jiamin Liu, Yingying Zhang
2025 J jnl
ECG Adaptive Synthesis With Multigranular Fuzzy EASNN: Enhancing Wearable Cardiac Monitoring.
IEEE Trans. Fuzzy Syst.
Fan Fu, Jiamin Liu, Bosheng He, Weiguan Chen, Tianyi Zhou, Jiajia Zhai, Jiyang Lu, Hongjian Lu, Weiping Ding
2025 J jnl
Ensemble Learning-Fused Solution to the Inverse Problem in Integrated Optical Critical Dimension Metrology.
IEEE Trans. Instrum. Meas.
Chunfu Guo, Jiamin Liu, Honggang Gu, Jinlong Zhu, Chuanwei Zhang, Xiuguo Chen, Hao Jiang, Shiyuan Liu
2025 J jnl
Fully Distributed Output Regulation of Linear Discrete-Time Multi-Agent Systems With Markov Switching Topology.
IEEE Trans. Circuits Syst. I Regul. Pap.
Jiamin Liu, Zhao-Yan Li, Bin Zhou
2025 J jnl
Hierarchical Multi-Scale Mamba with Tubular Structure-Aware Convolution for Retinal Vessel Segmentation.
Entropy
Tao Wang, Dongyuan Tian, Haonan Zhao, Jiamin Liu, Weijie Wang, Chunpei Li, Guixia Liu
2025 J jnl
Improved analysis of supervised learning in the RKHS with random features: Beyond least squares.
Neural Networks
Jiamin Liu, Lei Wang, Heng Lian
2025 J jnl
KGPT: Wireless Key Generation Based on Power Tuning for Static Internet-of-Things.
IEEE Trans. Ind. Informatics
Xintao Huan, Kaitao Miao, Jiamin Liu, Changfan Wu, Wen Chen, Rui Pei, Han Hu
2025 J jnl
Kernel-Based Decentralized Policy Evaluation for Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jiamin Liu, Heng Lian
2025 J jnl
Kernel-Based Regularized Learning with Random Projections: Beyond Least Squares.
SIAM J. Math. Data Sci.
Jiamin Liu, Junzhuo Gao, Heng Lian
2025 J jnl
LGTC: Local-Global Tri-Consistency Network for Semi-Supervised Change Detection of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Jiamin Liu, Rui Xu, Fulin Luo, Chuan Fu, Tan Guo, Qian Shi, Bo Du
2025 J jnl
LLRF: Towards Long-Term LoRa Radio Frequency Fingerprint Identification Based on Transfer Learning.
IEEE Trans. Veh. Technol.
Xintao Huan, Changfan Wu, Yulu Lei, Jiamin Liu, Yi Hao, Jianchao Wang
2025 J jnl
MRLATO: An Adaptive Task Offloading Mechanism Based on Meta Reinforcement Learning in Edge Computing Environment.
IEEE Trans. Veh. Technol.
Peiying Zhang, Jiamin Liu, Maher Guizani, Jian Wang, Neeraj Kumar, Lizhuang Tan
2025 J jnl
Meta-reinforcement learning driven model architecture and algorithm optimization in intelligent driving task offloading.
Comput. Commun.
Peiying Zhang, Jiamin Liu, Zhiyuan Ren, Lizhuang Tan, Neeraj Kumar, Konstantin Kostromitin Igorevich
2025 J jnl
Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on Deep Residual Shrinkage Network with Dynamic Convolution and Selective Kernel Attention Model.
Algorithms
Xiaoxu Li, Jixuan Wang, Jianqiang Wang, Jiahao Wang, Jiamin Liu, Jiaming Chen, Xuelian Yu
2025 J jnl
Research on the Impact of Digital Innovation Ecosystem Niche Suitability for High-Quality Economic Development.
Syst.
Yabing Ma, Yongheng Fang, Jiamin Liu
2025 J jnl
Sample efficient reinforcement learning via low-rank regularization.
Knowl. Based Syst.
Jiamin Liu, Heng Lian
2024 J jnl
A Low-Overhead and High-Security Scan Design Based on Scan Obfuscation.
IEEE Access
Weizheng Wang, Xingxing Gong, Shuo Cai, Jiamin Liu, Xiangqi Wang
2024 — conf
A Pre-trained Knowledge Tracing Model with Limited Data.
DEXA (1)
Wenli Yue, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Zhongfeng Jia, Jiamin Liu, Wenjian Xie
2024 J jnl
Assessing growth potential of careers with occupational mobility network and ensemble framework.
Eng. Appl. Artif. Intell.
Jiamin Liu, Tao Wang, Feng Yao, Witold Pedrycz, Yanjie Song, Renjie He
2024 — conf
Attention and Learning Features-Enhanced Knowledge Tracing.
KSEM (1)
Jiamin Liu, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Shenglin Xu, Zhongfeng Jia, Wenli Yue, Bowang Liu
2024 J jnl
DCENet: Diff-Feature Contrast Enhancement Network for Semi-Supervised Hyperspectral Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Fulin Luo, Tianyuan Zhou, Jiamin Liu, Tan Guo, Xiuwen Gong, Xinbo Gao
2024 — conf
Design Frameworks for Spatial Zone Agents in XRI Metaverse Smart Environments.
AIxVR
Jie Guan, Jiamin Liu, Alexis Morris
2024 J jnl
Design Frameworks for Spatial Zone Agents in XRI Metaverse Smart Environments.
CoRR
Jie Guan, Jiamin Liu, Alexis Morris
2024 J jnl
Distributed Estimation of Support Vector Machines for Matrix Data.
IEEE Trans. Neural Networks Learn. Syst.
Wangli Xu, Jiamin Liu, Heng Lian
2024 J jnl
ESMS-Net: Enhancing Semantic-Mask Segmentation Network With Pyramid Atrousformer for Remote Sensing Image.
IEEE Trans. Geosci. Remote. Sens.
Jiamin Liu, Ziyi Wang, Fulin Luo, Tan Guo, Feng Yang, Xinbo Gao
2024 J jnl
Identifying the Coupling Coordination Relationship between Urbanization and Ecosystem Services Supply-Demand and Its Driving Forces: Case Study in Shaanxi Province, China.
Remote. Sens.
Jiamin Liu, Hao Wang, Le Hui, Butian Tang, Liwei Zhang, Lei Jiao
2024 J jnl
On σ-error moment stability and stabilization for discrete-time semi-Markov jump linear systems.
Syst. Control. Lett.
Jiamin Liu, Zhao-Yan Li
2024 — conf
ROI-Aware Dynamic Network Quantization for Neural Video Compression.
ICPR (5)
Jiamin Liu, Baochang Zhang, Xianbin Cao
2024 J jnl
Review of Deep Learning in High-Energy Heavy-Ion Collisions.
Symmetry
Shiqi Zheng, Jiamin Liu
2024 — conf
Secure Node Identification Through Covert Clock Feature Extraction.
INFOCOM (Workshops)
Xintao Huan, Wen Chen, Changfan Wu, Jiamin Liu, Yixuan Zou, Shengkang Zhang
2024 J jnl
Stability analysis and synthesis of discrete-time semi-Markov jump singular systems.
Int. J. Control
Jiamin Liu, Zhao-Yan Li
2023 — conf
A Deep Memory-Aware Attentive Model for Knowledge Tracing.
ICDM (Workshops)
Juntai Shi, Wei Su, Lei Liu, Shenglin Xu, Tianyuan Huang, Jiamin Liu, Wenli Yue, Shihua Li
2023 B conf
An Overview Of Low Earth Orbit Satellite Routing Algorithms.
IWCMC
Chengcheng Li, Yasheng Zhang, Zixuan Cui, Yi Zhang, Jiamin Liu, Zilong Yu, Peiying Zhang
2023 J jnl
Asymptotic behaviour analysis of stochastic functional differential equations with semi-Markovian switching signal.
Int. J. Syst. Sci.
Jiamin Liu, Zhao-Yan Li
2023 J jnl
Attentive Q-Matrix Learning for Knowledge Tracing.
CoRR
Zhongfeng Jia, Wei Su, Jiamin Liu, Wenli Yue
2023 — conf
Career Cocoons: Analyzing Occupational Mobility with Graph Embedding Model.
DSIT
Jiamin Liu, Tao Wang, Feng Yao, Jingbo Huang, Renjie He, Jiting Li
2023 J jnl
Communication-efficient estimation of quantile matrix regression for massive datasets.
Comput. Stat. Data Anal.
Yaohong Yang, Lei Wang, Jiamin Liu, Rui Li, Heng Lian
2023 — conf
Deep Occupational Representations Based on Career Mobility.
DTPI
Jiamin Liu, Tao Wang, Yu Pan, Feng Yao, Renjie He, Zhongshan Zhang
2023 — conf
Information Exposure Level and Panic Buying: The Moderation Effect of Gender and Age.
DSIT
Jiamin Liu, Jiaming Fang, Lu Liu
2023 J jnl
Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Fulin Luo, Tianyuan Zhou, Jiamin Liu, Tan Guo, Xiuwen Gong, Jinchang Ren
2023 J jnl
Multitemporal greenhouse mapping for high-resolution remote sensing imagery based on an improved YOLOX.
Comput. Electron. Agric.
Ruikai Hong, Bin Xiao, He Yan, Jiamin Liu, Pu Liu, Zhihua Song
2023 J jnl
Necessary and sufficient conditions for moment stability of positive Markov jump linear systems.
Appl. Math. Lett.
Jiamin Liu, Patrizio Colaneri, Paolo Bolzern, Zhao-Yan Li
2023 J jnl
On Optimal Learning With Random Features.
IEEE Trans. Neural Networks Learn. Syst.
Jiamin Liu, Heng Lian
2023 J jnl
Properties of Standard and Sketched Kernel Fisher Discriminant.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiamin Liu, Wangli Xu, Fode Zhang, Heng Lian
2023 — conf
Research on Recognition and Registration Method Based on Deformed Fiducial Markers.
ICDSP
Xiaoyu Zhu, Jiamin Liu
2023 J jnl
Simulation of the Ecological Service Value and Ecological Compensation in Arid Area: A Case Study of Ecologically Vulnerable Oasis.
Remote. Sens.
Jiamin Liu, Xiutong Pei, Wanyang Zhu, Jizong Jiao
2023 J jnl
Stabilisation of semi-Markovian jump stochastic systems via asynchronous switching control.
J. Frankl. Inst.
Jiamin Liu, Zhao-Yan Li
2023 J jnl
Value iteration for streaming data on a continuous space with gradient method in an RKHS.
Neural Networks
Jiamin Liu, Wangli Xu, Yue Wang, Heng Lian
2022 J jnl
A generalized Wilcoxon-Mann-Whitney type test for multivariate data through pairwise distance.
J. Multivar. Anal.
Jiamin Liu, Shuangge Ma, Wangli Xu, Liping Zhu
2022 J jnl
A rank-based high-dimensional test for equality of mean vectors.
Comput. Stat. Data Anal.
Yanyan Ouyang, Jiamin Liu, Tiejun Tong, Wangli Xu
2022 J jnl
Dimensionality Reduction and Classification of Hyperspectral Image via Multistructure Unified Discriminative Embedding.
IEEE Trans. Geosci. Remote. Sens.
Fulin Luo, Zehua Zou, Jiamin Liu, Zhiping Lin
2022 — conf
Multi-scale Convolutional Feature Fusion For 6D Pose Estimation.
ICVIP
Yan Ren, Jiamin Liu
2021 J jnl
A Data-Driven Analysis of Employee Development Based on Working Expertise.
IEEE Trans. Comput. Soc. Syst.
Jiamin Liu, Jingbo Huang, Tao Wang, Lining Xing, Renjie He
2021 J jnl
Asymptotic behavior analysis of Markovian switching neutral-type stochastic time-delay systems.
Appl. Math. Comput.
Jiamin Liu, Zhao-Yan Li, Feiqi Deng
2021 J jnl
Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China).
ISPRS Int. J. Geo Inf.
Jiamin Liu, Yueshi Li, Bin Xiao, Jizong Jiao
2021 J jnl
Distributed learning for sketched kernel regression.
Neural Networks
Heng Lian, Jiamin Liu, Zengyan Fan
2021 C conf
Local Structure Graph Discriminant Embedding for Hyperspectral Image Classification.
IGARSS
Zehua Zou, Fulin Luo, Jiamin Liu, Guangyao Shi, Yufei Liu
2021 J jnl
Simulation of Dynamic Urban Expansion under Ecological Constraints Using a Long Short Term Memory Network Model and Cellular Automata.
Remote. Sens.
Jiamin Liu, Bin Xiao, Yueshi Li, Xiaoyun Wang, Qiang Bie, Jizong Jiao
2020 J jnl
A Scale-Adaptive Particle Filter Tracking Algorithm Based on Offline Trained Multi-Domain Deep Network.
IEEE Access
Yiming Tang, Yufei Liu, Hong Huang, Jiamin Liu, Wenjie Xie
2020 J jnl
Adaptive weighted motion averaging with low-rank sparse for robust multi-view registration.
Neurocomputing
Zhongyu Li, Jiamin Liu, Zhiqiang Tian, Jihua Zhu, Ce Li, Shaoyi Du
2020 J jnl
Defect detection of magnetic sheets based on convolutional neural network stacked by perception modules.
J. Electronic Imaging
Minghai Yao, Jiamin Liu, Yingqi Shen
2020 J jnl
Local manifold sparse model for image classification.
Neurocomputing
Fulin Luo, Yajuan Huang, Weiping Tu, Jiamin Liu
2020 J jnl
Multiple Characteristics Similarity Metric Method for Hyperspectral Image Classification.
IEEE Access
Jiamin Liu, Limei Zhang, Hong Huang, Chao Zheng, Song Yang
2020 J jnl
Novel Methods for Modeling and Online Measurement of Effective Bulk Modulus of Flowing Oil.
IEEE Access
Baolong Geng, Lichen Gu, Jiamin Liu
2019 B conf
A Data-driven Analysis of Employee Promotion: The Role of the Position of Organization.
SMC
Jiamin Liu, Tao Wang, Jiting Li, Jingbo Huang, Feng Yao, Renjie He
2019 — conf
A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection.
ISBI
Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Veit Sandfort, Ronald M. Summers
2019 — conf
A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans.
Computer-Aided Diagnosis
Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers
2019 — conf
Predicting Employee Career Development based on Employee Personal Background and Education Status.
DSIT
Hao Wang, Jiamin Liu, Erbao Wang, Jiting Li, Tao Wang, Yingwu Chen
2019 J jnl
Spatial-Spectral Multiple Manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery.
Remote. Sens.
Guangyao Shi, Hong Huang, Jiamin Liu, Zhengying Li, Lihua Wang
2019 J jnl
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining.
CoRR
Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers
2019 — conf
Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining.
ISBI
Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jin Xiao, Ronald M. Summers
2019 — conf
Will Your Classmates and Colleagues Affect Your Development in the Workplace: Predicting Employees' Growth Based on Interpersonal Environment.
BigDataService
Jiamin Liu, Jiting Li, Tao Wang, Renjie He
2018 — conf
A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans.
Computer-Aided Diagnosis
Jiamin Liu, Karthik Chellamuthu, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers
2018 — conf
An Information Monitoring Platform for Thermal Energy Storage Systems Using Cloud Computing.
CCIOT
Jiamin Liu, Yan Chang, Dong Wei, Dapeng Wang, Tieyan Zhang
2018 — conf
An ORB Feature Matching Algorithm for Mobile Devices.
ICCAE
Jiamin Liu, Jindong Yu, Chudi Wang, Xia Zhang
2018 — conf
Analyzing Employee Turnover Based on Job Skills.
ICDPA
Jiamin Liu, Yuxi Long, Ming Fang, Renjie He, Tao Wang, Guosheng Chen
2018 — conf
Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans.
ISBI
Jiamin Liu, Jinzheng Cai, Karthik Chellamuthu, Mohammadhadi Bagheri, Le Lu, Ronald M. Summers
2018 — conf
Prediction of Employee Promotion Based on Personal Basic Features and Post Features.
ICDPA
Yuxi Long, Jiamin Liu, Ming Fang, Tao Wang, Wei Jiang
2017 J jnl
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling.
IEEE Trans. Image Process.
Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2017 — conf
Application of Ensemble Algorithm in Students' Performance Prediction.
IIAI-AAI
Meimei Han, Mingwen Tong, Mengyuan Chen, Jiamin Liu, Chunmiao Liu
2017 — conf
Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks.
ISBI
Karthik Chellamuthu, Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Le Lu, Veit Sandfort, Ronald M. Summers
2017 — ch.
Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling.
Deep Learning and Convolutional Neural Networks for Medical Image Computing
Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2017 B conf
CounterMap: Towards generic traffic statistics collection and query in Software Defined Network.
IWQoS
Jiamin Liu, Peng Zhang, Huanzhao Wang, Chengchen Hu
2017 — ch.
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
Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers
2017 J jnl
Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery.
Remote. Sens.
Fulin Luo, Hong Huang, Yule Duan, Jiamin Liu, Yinghua Liao
2017 J jnl
Machine-to-Machine Communications in Ultra-Dense Networks - A Survey.
IEEE Commun. Surv. Tutorials
Shuyi Chen, Ruofei Ma, Hsiao-Hwa Chen, Hong Zhang, Weixiao Meng, Jiamin Liu
2017 — conf
Multi-modal Emotion Recognition with Temporal-Band Attention Based on LSTM-RNN.
PCM (1)
Jiamin Liu, Yuanqi Su, Yuehu Liu
2017 — conf
Pelvic artery calcification detection on CT scans using convolutional neural networks.
Computer-Aided Diagnosis
Jiamin Liu, Le Lu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers
2016 — conf
Colitis detection on abdominal CT scans by rich feature hierarchies.
Computer-Aided Diagnosis
Jiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers
2016 — conf
Colitis detection on computed tomography using regional convolutional neural networks.
ISBI
Jiamin Liu, David Wang, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers
2016 — conf
Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks.
CSI@MICCAI
Yinong Wang, Jianhua Yao, Joseph E. Burns, Jiamin Liu, Ronald M. Summers
2016 J jnl
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
IEEE Trans. Medical Imaging
Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers
2016 J jnl
Semisupervised Sparse Manifold Discriminative Analysis for Feature Extraction of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Fulin Luo, Hong Huang, Zezhong Ma, Jiamin Liu
2015 J jnl
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling.
CoRR
Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2015 — conf
Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest.
ISBI
Jiamin Liu, Divya Narayanan, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers
2015 — conf
Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest.
Computer-Aided Diagnosis
Jiamin Liu, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers
2015 — conf
Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation.
Computer-Aided Diagnosis
Joanne Hoffman, Jiamin Liu, Evrim Turkbey, Lauren Kim, Ronald M. Summers
2015 — conf
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation.
MICCAI (1)
Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers
2015 J jnl
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation.
CoRR
Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2015 — conf
Hypergraph-Based Intercell Interference Coordination for QoS Guarantees in Dense Femtocell Networks.
VTC Spring
Jinbo Liu, Shaohui Sun, Jiamin Liu, Yuan He
2015 J jnl
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation.
CoRR
Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers
2014 — conf
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers.
MICCAI (1)
Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers
2014 J jnl
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers.
CoRR
Ari Seff, Le Lu, Kevin M. Cherry, Holger Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers
2014 — conf
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans.
ABDI@MICCAI
Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers
2014 J jnl
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans.
CoRR
Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers
2014 — conf
A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations.
MICCAI (1)
Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2014 J jnl
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations.
CoRR
Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2014 J jnl
Computer aided detection of epidural masses on computed tomography scans.
Comput. Medical Imaging Graph.
Jiamin Liu, Sanket Pattanaik, Jianhua Yao, Evrim Turkbey, Weidong Zhang, Xiao Zhang, Ronald M. Summers
2014 — conf
Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion.
ISBI
Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Le Lu, Evrim Turkbey, Christine Kim, Ronald M. Summers
2014 J jnl
Hyperspectral Image Classification using Local spectral angle-Based Manifold Learning.
Int. J. Pattern Recognit. Artif. Intell.
Fulin Luo, Jiamin Liu, Hong Huang, Yumei Liu
2014 — conf
Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion.
Computer-Aided Diagnosis
Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Weidong Zhang, Evrim B. Turkbey, Shijun Wang, Christine Kim, Ronald M. Summers
2014 — conf
Reducing false positives of small bowel segmentation on CT scans by localizing colon regions.
Computer-Aided Diagnosis
Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers
2014 B conf
Robust automated lymph node segmentation with random forests.
Image Processing
David Allen, Le Lu, Jianhua Yao, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2014 — conf
Sparse Manifold Preserving for Hyperspectral Image Classification.
CCPR (1)
Hong Huang, Fulin Luo, Jiamin Liu, Zezhong Ma
2013 — conf
Automatic anatomical labeling of abdominal arteries for small bowel evaluation on 3D CT scans.
ISBI
Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers
2013 J jnl
Mesenteric Vasculature-Guided Small Bowel Segmentation on 3-D CT.
IEEE Trans. Medical Imaging
Weidong Zhang, Jiamin Liu, Jianhua Yao, Adeline Louie, Tan B. Nguyen, Stephen Wank, Wieslaw L. Nowinski, Ronald M. Summers
2013 — conf
Segmenting the thoracic, abdominal and pelvic musculature on CT scans combining atlas-based model and active contour model.
Computer-Aided Diagnosis
Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers
2013 — conf
Visual Phrase Learning and Its Application in Computed Tomographic Colonography.
MICCAI (1)
Shijun Wang, Matthew McKenna, Zhuoshi Wei, Jiamin Liu, Peter Liu, Ronald M. Summers
2012 — conf
Automatic detection and segmentation of abdominopelvic lymph nodes on computed tomography scans.
ISBI
Jiamin Liu, Chin-Hsiang Feng, Jeremy Hua, Jianhua Yao, Jacob M. White, Ronald M. Summers
2012 — conf
Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients.
Computer-Aided Diagnosis
Jiamin Liu, Jeremy Hua, Vivek Chellappa, Nicholas Petrick, Berkman Sahiner, Mohammed Farooqui, Gerald Marti, Adrian Wiestner, Ronald M. Summers
2012 — conf
Computer-aided marginal artery detection on computed tomographic colonography.
Computer-Aided Diagnosis
Zhuoshi Wei, Jianhua Yao, Shijun Wang, Jiamin Liu, Ronald M. Summers
2012 — conf
Computer-aided mesenteric small vessel segmentation on high-resolution 3D contrast-enhanced CT angiography scans.
Computer-Aided Diagnosis
Weidong Zhang, Jiamin Liu, Jianhua Yao, Tan Nguyen, Adeline Louie, Stephen Wank, Ronald M. Summers
2012 J jnl
Enhanced semi-supervised local Fisher discriminant analysis for face recognition.
Future Gener. Comput. Syst.
Hong Huang, Jianwei Li, Jiamin Liu
2012 J jnl
Gene expression data classification based on improved semi-supervised local Fisher discriminant analysis.
Expert Syst. Appl.
Hong Huang, Jianwei Li, Jiamin Liu
2012 — conf
Mesenteric vasculature-guided small bowel segmentation on high-resolution 3D CT angiography scans.
ISBI
Weidong Zhang, Jiamin Liu, Jianhua Yao, Tan B. Nguyen, Adeline Louie, Stephen Wank, Wieslaw L. Nowinski, Ronald M. Summers
2012 J jnl
Predicting Polyp Location on Optical Colonoscopy From CT Colonography by Minimal-Energy Curve Modeling of the Colonoscope Path.
IEEE Trans. Biomed. Eng.
Jiamin Liu, Kevin W. Chang, Jianhua Yao, Ronald M. Summers
2011 J jnl
A novel hybrid tabu search approach to container loading.
Comput. Oper. Res.
Jiamin Liu, Yong Yue, Zongran Dong, Carsten Maple, Malcolm Keech
2011 — conf
Computer-aided abdominal lymph node detection using contrast-enhanced CT images.
Computer-Aided Diagnosis
Jiamin Liu, Jeremy Hua, Jianhua Yao, Jacob M. White, Ronald M. Summers
2011 J jnl
Ear recognition based on uncorrelated local Fisher discriminant analysis.
Neurocomputing
Hong Huang, Jiamin Liu, Hailiang Feng, Tongdi He
2011 — conf
Local Fisher Discriminant Analysis with Maximum Margin Criterion for Image Recognition.
CGIV
Hong Huang, Jiamin Liu, Yinsong Pan
2011 J jnl
Uncorrelated Local Fisher Discriminant Analysis for Face Recognition.
Int. J. Pattern Recognit. Artif. Intell.
Hong Huang, Jiamin Liu, Hailiang Feng
2010 B conf
Automated detection of blob structures by Hessian analysis and object scale.
ICIP
Jiamin Liu, Jacob M. White, Ronald M. Summers
2010 — conf
Computer-aided lymph node detection in abdominal CT images.
Computer-Aided Diagnosis
Jiamin Liu, Jacob M. White, Ronald M. Summers
2010 B conf
Improved method for predicting polyp location from CT colonography for optical colonoscopy.
ICIP
Kevin W. Chang, Jiamin Liu, Jianhua Yao, Ronald M. Summers
2009 — conf
Centerline Registration of Prone and Supine CT Colonography Scans Based on Correlation Optimized Warping and Anatomical Landmarks.
ISBI
Shijun Wang, Jianhua Yao, Jiamin Liu, Nicholas Petrick, Ronald M. Summers
2009 — conf
High-performance computer aided detection system for polyp detection in CT colonography with fluid and fecal tagging.
Computer-Aided Diagnosis
Jiamin Liu, Shijun Wang, Suraj Kabadi, Ronald M. Summers
2009 J jnl
Image background inhomogeneity correction in MRI via intensity standardization.
Comput. Medical Imaging Graph.
Ying Zhuge, Jayaram K. Udupa, Jiamin Liu, Punam K. Saha
2009 J jnl
Oriented Active Shape Models.
IEEE Trans. Medical Imaging
Jiamin Liu, Jayaram K. Udupa
2007 B conf
Oriented active shape models for 3D segmentation in medical images.
Image Processing
Jiamin Liu, Jayaram K. Udupa
2007 — conf
Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI.
IPMI
Anna K. Jerebko, Gerwin P. Schmidt, Xiang Sean Zhou, Jinbo Bi, Vikram Anand, Jiamin Liu, Stefan Schoenberg, Ingo Schmuecking, Berthold Kiefer, Arun Krishnan
2006 B conf
Oriented active shape models.
Image Processing
Jiamin Liu, Jayaram K. Udupa
2005 B conf
Model-based 3D segmentation of the bones of joints in medical images.
Image Processing
Jiamin Liu, Jayaram K. Udupa, Punam Kumar Saha, Dewey Odhner, Bruce Elliot Hirsch, Sorin Siegler, Scott Simon, Beth A. Winkelstein
2003 B conf
Membership-based multiprotocol MR brain image segmentation.
Image Processing
Ying Zhuge, Jiamin Liu, Jayaram K. Udupa
2003 B conf
Model-based 3D segmentation of the bones of the ankle and subtalar joints in MR images.
Image Processing
Jiamin Liu, Jayaram K. Udupa, Punam K. Saha, Dewey Odhner, Bruce Elliot Hirsch, Sorin Siegler
2002 B conf
Scale-based method for correcting background intensity variation in acquired images.
Image Processing
Ying Zhuge, Jayaram K. Udupa, Jiamin Liu, Punam K. Saha, Tad Iwanaga
2001 J jnl
Medical image segmentation based on cellular neural network.
Sci. China Ser. F Inf. Sci.
Li Yao, Jiamin Liu, Yonggui Xie, Liu-qing Pei