一、个人信息

性    别：女

最高学位：博士

职    称：副教授

所属学院：计算机科学与工程学院（人工智能学院）

导师类别：硕士研究生导师

联系方式：hustsy2008@163.com

二、教育背景

2012.09-2018.07，清华大学，生物医学工程，博士学位

2008.09-2012.07，华中科技大学，生物医学工程，学士学位

三、教学经验

具备五年以上高校教学经验。开展课程主要包括《机器学习》，《人工智能导论》等。年均完成教学工作量超200。指导本科生毕业设计18名，1名获得校优秀论文。指导研究生7名，2名学生获得国家奖学金，1名学生获得校优秀毕业论文，优秀毕业生称号。获教育部2022年中西部高校新入职教师国培示范项目的“优秀学员”称号，获湖北省全国高校人工智能教师教学创意竞赛三等奖两项。指导学生参加竞赛获得蓝桥杯，华为ICT大赛、RoboCom机器人开发者大赛等全国一等奖，二等奖多项。担任班级班主任，获得优秀班主任与工会积极分子称号。

四、研究方向

生物医学图像处理，计算机视觉，机器学习，深度学习，模式识别等。

五、学术文章

[1] Huang Q, Hu S, Liu S, et al. Ultrafast 3D segmentation of brain-wide optical neuronal volume[J]. Biomedical Signal Processing and Control (SCI 2区), 2026, 111: 108324.

[2] Shi X, Huang Q, Xu T, et al. PW-BALFC, a clinical dataset for detection and instance segmentation of bronchoalveolar lavage fluid cell[J]. Scientific Data (SCI 2区), 2025, 12(1): 1074.

[3] Huang Q, Ren L, Quan T, et al. MA-VoxelMorph: Multi-scale attention-based VoxelMorph for nonrigid registration of thoracoabdominal CT images[J]. Journal of Innovative Optical Health Sciences (SCI 3区), 2025, 18(01): 2450022.

[4] Minimizing Probability Graph Connectivity Cost for Discontinuous Filamentary Structures Tracing in Neuron Image[J], IEEE Journal of Biomedical and Health Informatics (SCI 1区Top), July 2022, Institute of Electrical and Electronics Engineers Inc，26.7: 3092-3103

[5] Foreground Estimation in Neuronal Images With a Sparse-Smooth Model for Robust Quantification[J], Frontiers in Neuroanatomy (SCI 3区), October 2021, Frontiers Media S.A，15, 716718

[6] Automated Neuron Tracing Using Content-Aware Adaptive Voxel Scooping on CNN Predicted Probability Map[J], Frontiers in Neuroanatomy (SCI 3区), August 2021, Frontiers Media S.A，15, 712842

[7] Weakly supervised learning of 3D deep network for neuron reconstruction[J], Frontiers in Neuroanatomy (SCI 3区), July 2020, Frontiers Media S.A，14:38

[8] Robust liver vessel extraction using 3D U-Net with variant dice loss function[J], Computers in Biology and Medicine (SCI 2区)，October 2018, Elsevier Ltd，101: 153-162

[9] Robust extraction for low contrast liver tumors using modified adaptive likelihood estimation[J], International Journal of Computer Assisted Radiology and Surgery (SCI 3区)，July 2018, Springer International Publishing，13: 1565-1578

[10] Fully automatic liver segmentation in CT images using modified graph cuts and feature detection, Computers in Biology and Medicine(SCI 2区), 2018-4-1,7.7,1/4.