Peng Cao

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Modeling Disease Progression with Deep Neural Networks.

[BibT_eX]

[DOI]

Xiaoli Liu

Jiali Li

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

SP-MTFL: A self paced multi-task feature learning method for cognitive performance predicting of Alzheimer's disease.

[BibT_eX]

[DOI]

Xiaoli Liu

Jiali Li

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

AMIL: An attentional multi-instance learning for computer-aided diagnosis of skin diagnosis.

[BibT_eX]

[DOI]

Mengqun Jin

Delong Zhang

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

GCN-RNN: An Unified Framework for Modeling the multi-label diagnosis of chest X-ray disease.

[BibT_eX]

[DOI]

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

An end-to-end framework for pulmonary nodule detection and false positive reduction from CT Images.

[BibT_eX]

[DOI]

Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

ST-MetaDiagnosis: Meta learning with Spatial Transform for rare skin disease Diagnosis.

[BibT_eX]

[DOI]

Delong Zhang

Mengqun Jin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.

[BibT_eX]

[DOI]

Neuroinformatics, 2019

A 3D Multi-scale Virtual Adversarial Network for False Positive Reduction in Pulmonary Nodule Detection.

[BibT_eX]

[DOI]

Yunheng Wu

Yuxuan Pang

Proceedings of the ICIAI 2019: The 3rd International Conference on Innovation in Artificial Intelligence, 2019

Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2018

Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2018

Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2018

Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2018

2017

Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

ℓ<sub>2, 1</sub> norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification.

[BibT_eX]

[DOI]

Neurocomputing, 2017

A ℓ<sub>2, 1</sub> norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2017

Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2017

Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2017

Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the Brain Informatics - International Conference, 2017

2016

Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2016

Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016

Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016

2014

Hybrid probabilistic sampling with random subspace for imbalanced data learning.

[BibT_eX]

[DOI]

Intell. Data Anal., 2014

Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2014

2013

On the application of multi-class classification in physical therapy recommendation.

[BibT_eX]

[DOI]

Health Inf. Sci. Syst., 2013

A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

An Optimized Cost-Sensitive SVM for Imbalanced Data Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A novel cost sensitive neural network ensemble for multiclass imbalance data learning.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Hybrid Intelligent Systems, 2013

Measure oriented cost-sensitive SVM for 3D nodule detection.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection.

[BibT_eX]

[DOI]