[1]	齐选龙, 陈弘扬, 赵文兵, 赵地, 高敬阳. 基于主动学习和U-Net++分割的芯片封装空洞率的研究 Study on BGA Packaging Void Rate Detection Based on Active Learning and U-Net++ Segmentation 计算机科学, 2023, 50(6A): 220200092-6 . https://doi.org/10.11896/jsjkx.220200092
[2]	高强, 高敬阳, 赵地. GNNI U-net：基于组归一化与最近邻插值的MRI左心室轮廓精准分割网络 GNNI U-net:Precise Segmentation Neural Network of Left Ventricular Contours for MRI Images Based on Group Normalization and Nearest Interpolation 计算机科学, 2020, 47(8): 213-220 . https://doi.org/10.11896/jsjkx.190600026
[3]	苏庆华, 付景超, 谷焓, 张姗姗, 李奕飞, 江方舟, 白翰林, 赵地. 前列腺癌辅助诊断GPU并行算法设计 Parallel Algorithm Design for Assisted Diagnosis of Prostate Cancer 计算机科学, 2019, 46(11A): 524-527 .
[4]	杨桐, 张姗姗, 江方舟, 李奕飞, 俞戈昊, 赵地. 基于深度学习与自适应对比度增强的臂丛神经超声图像优化 Brachial Plexus Ultrasound Image Optimization Based on Deep Learning and Adaptive Contrast Enhancement 计算机科学, 2019, 46(11A): 236-240 .
[5]	陈思文, 刘玉江, 刘冬, 苏晨, 赵地, 钱林学, 张佩珩. 基于AlexNet模型和自适应对比度增强的乳腺结节超声图像分类 AlexNet Model and Adaptive Contrast Enhancement Based UltrasoundImaging Classification 计算机科学, 2019, 46(6A): 146-152 .
[6]	张泽中, 高敬阳, 吕纲, 赵地. 基于深度学习的胃癌病理图像分类方法 Pathological Image Classification of Gastric Cancer Based on Depth Learning 计算机科学, 2018, 45(11A): 263-268 .
[7]	刘玮，陈咏恩，许苑丰. 基于AVS的软硬件协同可变长码解码器设计 Hardware/Software Partitioning VLD Design Based on AVS 计算机科学, 2010, 37(7): 291-295 .
[8]	张巧丽,赵地,迟学斌. 基于深度学习的医学影像诊断综述 Review for Deep Learning Based on Medical Imaging Diagnosis 计算机科学, 2017, 44(Z11): 1-7 . https://doi.org/10.11896/j.issn.1002-137X.2017.11A.001
[9]	潘青松,张怡,杨宗明,秦剑秀. 基于Zynq的图像角点及边缘检测系统的设计与实现 Design and Implementation of Image Corner and Edge Detection System Based on Zynq 计算机科学, 2017, 44(Z11): 530-533 . https://doi.org/10.11896/j.issn.1002-137X.2017.11A.112
[10]	吕鸿蒙,赵地,迟学斌. 基于增强AlexNet的深度学习的阿尔茨海默病的早期诊断 Deep Learning for Early Diagnosis of Alzheimer’s Disease Based on Intensive AlexNet 计算机科学, 2017, 44(Z6): 50-60 . https://doi.org/10.11896/j.issn.1002-137X.2017.6A.011
[11]	王聪,张巧丽,赵地,迟学斌. 大脑听觉系统建模研究进展 Advances in Study of Auditory System Brain Model 计算机科学, 2016, 43(Z11): 1-5 . https://doi.org/10.11896/j.issn.1002-137X.2016.11A.001
[12]	吴圣宁 李思昆. 重定向编译器的研究进展和趋势 计算机科学, 2006, 33(1): 177-180 .
[13]	. 一种基于DQCGA算法的软硬件动态划分方法 计算机科学, 2008, 35(5): 201-204 .
[14]	聂鑫,李元香,王珑,柳林. 基于演化硬件的交通流模型自适应优化 Self-adaptive Optimization for Traffic Flow Model Based on Evolvable Hardware 计算机科学, 2011, 38(5): 186-189 .