高琳琳｜宁波大学｜学者主页

2025

Decay Pruning Method: Smooth Pruning with a Self-Rectifying Procedure

Minghao Yang, Pengyuan Li, Linlin Gao, Zhiying Cui, Wenbo Li, Jiangjian Xiao

IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

DOI

2025

Alzheimer's Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion

Yaqin Li, Yihong Dong, Ya-Nan Wu, Haihao Yan, Linlin Gao

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2025

Disentangling normal and pathological brain atrophy for the diagnosis of mild cognitive impairment and Alzheimer's disease

Yi Shou, Linlin Gao, Zhe-Hao Zhang, Jinming Han, Ji-Cheng Dai, Hai-Wei Pan, Zhi-Yong Zhao, Yifei Weng, Chunqu Chen, Jianhua Wang

Biomedical Signal Processing and Control

DOI

2024

RoRankNet: Modeling Ordinal Progression in Alzheimer’s Disease with Plackett-Luce Ranking and Hard Instance Learning

Minghang Yu, Linlin Gao, Dan Wu, Jianhua Wang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2024

ORC-GNN: A novel open set recognition based on graph neural network for multi-class classification of psychiatric disorders

Yaqin Li, Yihong Dong, Shoubo Peng, Linlin Gao, Yu Xin

Information Fusion

DOI

2024

A Novel Population Graph Neural Network Based on Functional Connectivity for Mental Disorders Detection

Yuheng Gu, Shoubo Peng, Yaqin Li, Linlin Gao, Yihong Dong

European Conference on Principles of Data Mining and Knowledge Discovery

DOI

2024

FC-HGNN: A heterogeneous graph neural network based on brain functional connectivity for mental disorder identification

Yuheng Gu, Shoubo Peng, Yaqin Li, Linlin Gao, Yihong Dong

Information Fusion

DOI

2023

DAUF: A disease-related attentional UNet framework for progressive and stable mild cognitive impairment identification

Zhe-Hao Zhang, Linlin Gao, Pengyuan Li, G. Jin, Jian-Hua Wang

Comput. Biol. Medicine

DOI

2023

SVFR: A novel slice-to-volume feature representation framework using deep neural networks and a clustering model for the diagnosis of Alzheimer's disease

Rubing Wang, Linlin Gao, Xiaoling Zhang, Jinming Han

Heliyon

DOI

2022

基于MRI深度学习的阿尔茨海默病和轻度认知功能障碍智能诊断：方法与应用

朱斌斌，周彦伶，金陆飞，高琳琳，汪建华，盛芝仁，桂煜，姚育东，刘琳

《中国神经精神疾病杂志》

2021

Connectivity Based Functional Segmentation Of The Brainstem

Nandinee Fariah Haq, Christina Zhang, Linlin Gao, Tianze Yu, M. McKeown

International Conference on Information Photonics

DOI

2021

Slice grouping and aggregation network for auxiliary diagnosis of rib fractures

Yetian Hu, Xiuchao He, Rong-Rrong Zhang, Lijun Guo, Linlin Gao, Jian-Hua Wang

Biomedical Signal Processing and Control

DOI

2021

THAN: task-driven hierarchical attention network for the diagnosis of mild cognitive impairment and Alzheimer's disease.

Zhe-Hao Zhang, Linlin Gao, Guang-Wei Jin, Lijun Guo, Yudong Yao, Li Dong, Jin-Ming Han

Quantitative Imaging in Medicine and Surgery

DOI

2020

Discriminative Feature Network Based on a Hierarchical Attention Mechanism for Semantic Hippocampus Segmentation

Jia-Ling Shi, Rong-Rrong Zhang, Lijun Guo, Linlin Gao, Hui-Fang Ma, Jian-Hua Wang

IEEE journal of biomedical and health informatics

DOI

2020

Dual dense context-aware network for hippocampal segmentation

Jia-Ling Shi, Rong-Rrong Zhang, Lijun Guo, Linlin Gao, Yuqi Li, Hui-Fang Ma, Jian-Hua Wang

Biomedical Signal Processing and Control

DOI

2019

Fully Automatic Knee Osteoarthritis Severity Grading Using Deep Neural Networks with a Novel Ordinal Loss

Pingjun Chen, Linlin Gao, Xiao-Shuang Shi, K. Allen, Lin Yang

Comput. Medical Imaging Graph.

DOI

2019

基于2D DenseU-net的核磁共振海马体分割

Jia-Ling Shi, Jia-Ling Shi, Li-Jun Guo, Li-Jun Guo, Rong-Rrong Zhang, Rong-Rrong Zhang, Linlin Gao, Linlin Gao, Xiao-Bao Li, Xiao-Bao Li

DOI

2018

Brain Disease Diagnosis Using Deep Learning Features from Longitudinal MR Images

Linlin Gao, Hai-Wei Pan, Fu-Jun Liu, Xiaoqin Xie, Zhiqiang Zhang, Jin-Ming Han

APWeb/WAIM

DOI

2017

Brain medical image diagnosis based on corners with importance-values

Linlin Gao, Hai-Wei Pan, Qing Li, Xiaoqin Xie, Zhiqiang Zhang, Jin-Ming Han, Xiao Zhai

BMC Bioinformatics

DOI

2016

基于KAP有向图模型的医学图像分类算法

吴枰，潘海为，高琳琳，韩启龙，谢晓芹，冯晓宁

《模式识别与人工智能》

2016

Graph modeling and mining methods for brain images

Linlin Gao, Hai-Wei Pan, Xiaoqin Xie, Zhiqiang Zhang, Qing Li, Qi-Long Han

Multimedia tools and applications

DOI

2016

Corner detection and matching methods for brain medical image classification

Linlin Gao, Hai-Wei Pan, Jin-Ming Han, Xiaoqin Xie, Zhiqiang Zhang, Xiao Zhai

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2016

Symmetry Theory Based Classification Algorithm in Brain Computed Tomography Image Database

Jing-Shi Rong, Hai-Wei Pan, Pengyuan Li, Linlin Gao, Qi-Long Han, Zhi-Qiang Zhang, Qing Li

DOI

2016

脳医用画像分類のためのコーナー検出およびマッチング法【Powered by NICT】

Linlin Gao, Hai-Wei Pan, Jin-min Han, Xiaoqin Xie, Zhi-Qiang Zhang, Xiao Zhai

2015

基于对称性理论的医学图像多阶段分类算法

荣晶施，潘海为，高琳琳，韩启龙，冯晓宁，李青

《计算机学报》

2015

Finding Frequent Approximate Subgraphs in medical image database

Linlin Gao, Hai-Wei Pan, Qi-Long Han, Xiaoqin Xie, Zhiqiang Zhang, Xiao Zhai, Pengyuan Li

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2015

Medical image classification method based on the KAP directed graph model

Ping Wu, Hai-Wei Pan, Linlin Gao, Qi-Long Han, Xiaoqin Xie, Xiaoning Feng

International Conference on Fuzzy Systems and Knowledge Discovery

DOI

2014

Brain CT Image Similarity Retrieval Method Based on Uncertain Location Graph

Hai-Wei Pan, Pengyuan Li, Qing Li, Qi-Long Han, Xiaoning Feng, Linlin Gao

IEEE journal of biomedical and health informatics

DOI

2014

Symmetry theory based classification algorithm in CT image database

Jing-Shi Rong, Hai-Wei Pan, Linlin Gao, Qi-Long Han, Xiaoning Feng

International Conference on Computing, Networking and Communications

DOI

2014

A Novel Model for Medical Image Modeling and Similarity Retrieval: A Novel Model for Medical Image Modeling and Similarity Retrieval

Hai-Wei Pan, Pengyuan Li, Qi-Long Han, Xiaoqin Xie, Zhiqiang Zhang, Linlin Gao

DOI

2013

一种新颖的医学图像建模及相似性搜索方法

潘海为，李鹏远，韩启龙，谢晓芹，张志强，高琳琳

《计算机学报》

HomoNet: Enhancing Multi-Center Alzheimer's Disease Classification via Disentangling Homogeneous Features in Structural MRI

Linlin Gao, Chenyang Lin, Yihong Dong, Jialu Zhang, Jianhua Wang

ISMRM Annual Meeting

DOI

高琳琳

精选作品

期刊论文

Decay Pruning Method: Smooth Pruning with a Self-Rectifying Procedure

Alzheimer's Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion

Disentangling normal and pathological brain atrophy for the diagnosis of mild cognitive impairment and Alzheimer's disease

RoRankNet: Modeling Ordinal Progression in Alzheimer’s Disease with Plackett-Luce Ranking and Hard Instance Learning

ORC-GNN: A novel open set recognition based on graph neural network for multi-class classification of psychiatric disorders

A Novel Population Graph Neural Network Based on Functional Connectivity for Mental Disorders Detection

FC-HGNN: A heterogeneous graph neural network based on brain functional connectivity for mental disorder identification

DAUF: A disease-related attentional UNet framework for progressive and stable mild cognitive impairment identification

SVFR: A novel slice-to-volume feature representation framework using deep neural networks and a clustering model for the diagnosis of Alzheimer's disease

基于MRI深度学习的阿尔茨海默病和轻度认知功能障碍智能诊断：方法与应用

Connectivity Based Functional Segmentation Of The Brainstem

Slice grouping and aggregation network for auxiliary diagnosis of rib fractures

THAN: task-driven hierarchical attention network for the diagnosis of mild cognitive impairment and Alzheimer's disease.

Discriminative Feature Network Based on a Hierarchical Attention Mechanism for Semantic Hippocampus Segmentation

Dual dense context-aware network for hippocampal segmentation

Fully Automatic Knee Osteoarthritis Severity Grading Using Deep Neural Networks with a Novel Ordinal Loss

基于2D DenseU-net的核磁共振海马体分割

Brain Disease Diagnosis Using Deep Learning Features from Longitudinal MR Images

Brain medical image diagnosis based on corners with importance-values

基于KAP有向图模型的医学图像分类算法

Graph modeling and mining methods for brain images

Corner detection and matching methods for brain medical image classification

Symmetry Theory Based Classification Algorithm in Brain Computed Tomography Image Database

脳医用画像分類のためのコーナー検出およびマッチング法【Powered by NICT】

基于对称性理论的医学图像多阶段分类算法

Finding Frequent Approximate Subgraphs in medical image database

Medical image classification method based on the KAP directed graph model

Brain CT Image Similarity Retrieval Method Based on Uncertain Location Graph

Symmetry theory based classification algorithm in CT image database

A Novel Model for Medical Image Modeling and Similarity Retrieval: A Novel Model for Medical Image Modeling and Similarity Retrieval

一种新颖的医学图像建模及相似性搜索方法

HomoNet: Enhancing Multi-Center Alzheimer's Disease Classification via Disentangling Homogeneous Features in Structural MRI

研究方向