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E-Mail: jlma2019@sdu.edu.cn
马金连，副研究员，硕士生导师。博士就读浙江大学数学科学学院，并于2017年3月获得应用数学理学博士学位，随后于浙江大学计算机科学与技术学院从事博士后研究。2019年4月进入山东大学集成电路学院工作。主要研究兴趣是计算机视觉与医学人工智能系统及其相关算法，包括医学图像处理与模式识别的理论与技术、机器学习与深度学习相关算法、智能医学信息工程等。在Applied Soft Computing、Ultrasonics、Medical Physics、Computers in Biology and Medicine等国际著名期刊上发表多篇SCI论文。目前主持国家自然科学基金青年项目一项，广东省自然科学基金青年项目一项，参与多项国家自然科学基金面上项目、重大研发等多项研究。主要承担课程有线性代数、医学信号与图像处理、人工智能与机器学习、生物医学信号处理、现代数字信号处理。
山东大学集成电路学院
浙江大学博士后，合作导师：刘玉生教授 , 计算机科学与技术学院 , 出站
浙江大学数学科学学院理学博士，导师：孔德兴教授 , 数学科学学院
| Undergraduate Course Name | Semester | Credit | Course Number |
|---|---|---|---|
|
线性代数 |
Spring Term |
3.0 |
sd04020040 |
|
医学信号与图像处理 |
Spring Term |
2.0 |
sd0401112V, sd04031120 |
|
人工智能与机器学习 |
Spring Term |
0230048 |
|
|
生物医学信号处理 |
Spring Term |
0230014 |
|
|
现代数字信号处理 |
Autumn Term |
0230013 |
| Project Name | Project Cycle |
|---|---|
|
医学影像智能诊断的深度模型研究 |
2023/10/27,2025/03/31 |
|
基于超声影像的智能分析与诊断模型算法研究 |
2023/05/11,2026/05/30 |
|
基于可学习时频变换和自注意力机制的癫痫发作预测方法研究 |
2022/09/07,2026/12/31 |
|
高效深度学习训练计算框架研究 |
2020/12/16,2023/12/31 |
|
基于小样本乳腺癌超声智能诊断与预后风险评估的深层弱监督模型研究 |
2020/09/18,2023/12/31 |
【1】Chenkai Su, Yuxiang Zhou, Jinlian Ma, Haoyu Chi, Xin Jing, Junyan Jiao and Qiqi Yan.JANet: A joint attention network for balancing accuracy and speed in left ventricular ultrasound video segmentation. Computers in Biology and Medicine, 169,2024.
【2】Jinlian Ma, Dexing Kong, Fa Wu, Lingyun Bao, Jing Yuan and Yusheng Liu.Densely connected convolutional networks for ultrasound image based lesion segmentation. Computers in Biology and Medicine, 168,2024.
【3】Chenkai Su, Jinlian Ma, Yuxiang Zhou, Panpan Li and Zijun Tang.Res-DUnet: A small-region attentioned model for cardiac MRI-based right ventricular segmentationApplied Soft Computing,2023.
【4】Qiong Lou, Yingying Li, Yaguan Qian, Fang Lu and Jinlian Ma.Mammogram classification based on a novel convolutional neural network with efficient channel attentionComputers in Biology and Medicine,2022.
【5】Jinlian Ma and Dexing Kong.Deep Learning Models for Segmentation of Lesion Based on Ultrasound ImagesAdvances in Ultrasound Diagnosis and Therapy,2018.
【6】Jinlian Ma, Lingyun Bao, Qiong Lou and Dexing Kong.Transfer learning for automatic joint segmentation of thyroid and breast lesions from ultrasound images. International Journal of Computer Assisted Radiology and Surgery, 17:363-372,2022.
【7】Donghui Tang, Shuang Tao, Jinlian Ma, Peijun Hu, Dan Long, Jun Wang and Dexing Kong.The effect of short cardio on inhibitory control ability of obese peopleInternational Journal of Imaging Systems & Technology,2017.
【8】Tiepei Zhu, Jinlian Ma, Jinyu Li, Xizhe Dai, Panpan Ye, Zhaoan Su, Dexing Kong and Juan Ye.Multifractal and Lacunarity Analyses of Microvascular Morphology in Eyes with Diabetic Retinopathy: A Projection Artifact Resolved Optical Coherence Tomography Angiography StudyMICROCIRCULATION,2018.
【9】Jinlian Ma, Fa Wu, Tian'an Jiang, Jiang Zhu and Dexing Kong.Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound imagesMedical Physics,2017.
【10】Jinlian Ma, Fa Wu, Jiang Zhu, Dong Xu and Dexing Kong.A pre-trained convolutional neural network based method for thyroid nodule diagnosisULTRASONICS,2016.
【11】Jinlian Ma, Fa Wu, Tian'an Jiang, Qiyu Zhao and Dexing Kong.Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networksInternational Journal of Computer Assisted Radiology and Surgery,2017.
| Patent Name | Introduction | Date |
|---|---|---|
|
一种医学超声图像分级方法、系统、服务器、介质及设备 |
2024/02/13 |
|
|
基于多示例学习的癌症病理图像分类系统、介质及设备 |
2024/02/13 |
|
|
基于稀疏卷积自编码的多发性硬化病灶识别方法及系统 |
2023/03/31 |
|
|
基于多数据融合及深度学习的乳腺结节风险等级预测系统 |
