钱俊｜梧州学院｜学者主页

2026

基于AA/Poly工艺协同调控的40eFlash VT窗口和面内电性均一性改善方法分析

钱俊

《电子技术》

2026

基于强化学习的晶圆可接受性测试调度优化方法分析

钱俊

《电子技术》

2026

从缺陷工程到界面优化：CMOS传感器白色像素的多维控制策略分析

钱俊

《电子技术》

2026

高职集成电路专业核心课程思政建设路径探究——以“半导体制造工艺技术”课程为例

陈新娟，盛奋华，钱俊，阚雅晗

《知识文库》

2026

Systematic Literature Review of Deep Learning Techniques for Lung Cancer Segmentation

Muhammad Sufyan, Jun Qian, Jianqiang Li, A. Imran, Fahad Sabah

Expert systems

DOI

2026

Exp-FFCNN: Explainable feature fusion convolutional neural network for lung cancer classification

Muhammad Sufyan, Jun Qian, Jianqiang Li, Abdul Qadir Khan, A. Imran

Displays (Guildford)

DOI

2026

Leakage information identification for water supply pipelines based on multimodal two-stream feature-fusion with two-stage convolutional neural network

Yu-Long Yang, Jie Chen, Shu-Hui Zhou, Zheyu Huang, Dongsheng Wang, Xiaojun Ding, Jun Qian, Kan Wang

Measurement science and technology

DOI

2026

Adaptive geometric-attention network for two-stage lung nodule segmentation and malignancy classification in federated healthcare IoT edge environments

Muhammad Sufyan, Jun Qian, Jianqiang Li, A. Imran, Fahad Sabah, Raheem Sarwar

PLoS ONE

DOI

2026

Evolution of brain tumor segmentation: A multimodal imaging analysis from machine learning to emerging trends (2014-2025)

Syed Fakhar Bilal, Jianqiang Li, Jun Qian, Saqib Ali, Rooha Khurram, Muhammad Arif

Displays (Guildford)

DOI

2026

MultiScaleSegNet: A novel framework for multi-modal brain tumor segmentation

Syed Fakhar Bilal, Jianqiang Li, Jun Qian, Saqib Ali, Muhammad Arif, Baolin Zhu, Lijun Zhao

Biomedical Signal Processing and Control

DOI

2026

SeqQC-former: A sequence-quality fusion framework for QC-aware review prioritization of candidate somatic SNVs in cancer genomics.

Muhammad Zubair, Jianqiang Li, Zi-Tong Wang, Jun Qian

Computational biology and chemistry

DOI

2026

Predictive antenatal models: A systematic review of advanced approaches for forecasting fetal weight, delivery mode, and fetal gender

Muhammad Arif, Jianqiang Li, Jun Qian, Saqib Ali, Syed Fakhar Bilal

Neurocomputing

DOI

2026

Signature-aware deep learning reveals distinct driver gene programs and mutational processes in glioblastoma and colon adenocarcinoma

Muhammad Zubair, Jianqiang Li, Jun Qian

Comput. Biol. Chem.

DOI

2026

LiteRA-Net3D: A Lightweight Re-parameterized Axial Network for 3D Brain Tumor Segmentation

Syed Fakhar Bilal, Zi-Su Dong, Jian-Qiang Li, Muhammad Arif, Jun Qian, Saqib Ali

2026 9th International Conference on Computer Information Science and Application Technology (CISAT)

DOI

2025

HDSCNN: Hybrid Deep Separable Convolutional Neural Network for Radiological Classification of Lung Cancer

Muhammad Sufyan, Jun Qian, Jianqiang Li, Abdul Qadir Khan, Syed Fakhar Bilal, A. Imran

International Conference on Data Science and Information Technology

DOI

钱俊

精选作品

期刊论文

基于AA/Poly工艺协同调控的40eFlash VT窗口和面内电性均一性改善方法分析

基于强化学习的晶圆可接受性测试调度优化方法分析

从缺陷工程到界面优化：CMOS传感器白色像素的多维控制策略分析

高职集成电路专业核心课程思政建设路径探究——以“半导体制造工艺技术”课程为例

Systematic Literature Review of Deep Learning Techniques for Lung Cancer Segmentation

Exp-FFCNN: Explainable feature fusion convolutional neural network for lung cancer classification

Leakage information identification for water supply pipelines based on multimodal two-stream feature-fusion with two-stage convolutional neural network

Adaptive geometric-attention network for two-stage lung nodule segmentation and malignancy classification in federated healthcare IoT edge environments

Evolution of brain tumor segmentation: A multimodal imaging analysis from machine learning to emerging trends (2014-2025)

MultiScaleSegNet: A novel framework for multi-modal brain tumor segmentation

SeqQC-former: A sequence-quality fusion framework for QC-aware review prioritization of candidate somatic SNVs in cancer genomics.

Predictive antenatal models: A systematic review of advanced approaches for forecasting fetal weight, delivery mode, and fetal gender

Signature-aware deep learning reveals distinct driver gene programs and mutational processes in glioblastoma and colon adenocarcinoma

LiteRA-Net3D: A Lightweight Re-parameterized Axial Network for 3D Brain Tumor Segmentation

HDSCNN: Hybrid Deep Separable Convolutional Neural Network for Radiological Classification of Lung Cancer