2026年度本人有计算机科学与技术及人工智能方向专硕名额2人，欢迎数学基础优秀、对计算机视觉及人工智能医学影像分析研究有强烈兴趣的考生申请加入课题组。

研究大类：生物医学工程 （计算机科学与医学影像分析学交叉）

研究方向：人工智能；计算机视觉；医学影像分析与处理

在研方向：人体器官4D建模；核磁共振成像加速与重建；心脏动态成像分析；心血管疾病分析及预后

简介：武坤，信息与机电工程学院计算机系教师，硕士生导师，林晓教授课题组。2024年毕业于英国利兹大学计算机科学学院，获博士学位。博士导师为英国皇家工程院院士、中国科学院生物医学研究所外聘院士、上海科技大学特聘教授、英国曼彻斯特大学教授 Alejandro F. Frangi (IEEE Fellow, Turing Fellow, MICCAI Fellow)。博士在读期间作为主要技术研究人员参与英国EPSRC资助项目、英国皇家工程院项目等。

主要成果：

[1] WU K, PU J, FRANGI A, et al. Dynamic Accelerated Cardiac CINE MRI Reconstruction Based on Motion-Compensation [J]. The Visual Computer, 2026. Online.

[2] WU K, GUAN SC, PU J, et al. CIPHER: Cross-modal Integrated and PatHology-aware Embedded Representation Diffusion Model with Temporal Consistency for Brain MRI-PET Translation [J]. The Visual Computer, 2026. Online.

[3] WU K, CHEN X, CHENG N, FRANGI A, et al. Multi-attention-aware motion estimation for cardiac MR imaging based on a feature pyramid network [J]. Biomedical Signal Processing and Control, 2026, 118: 109714.

[4] WU K, XIA Y, RAVIKUMAR N, FRANGI A, et al. Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data [J]. Biomedical Signal Processing and Control, 2024, 96: 106560.

[5] CHENG N, LIU Z, DEO Y, WU K, et al. Synthesising 3D cardiac CINE-MR images and corresponding segmentation masks using a latent diffusion model; proceedings of the 2024 IEEE International Symposium on Biomedical Imaging (ISBI), F, 2024 [C]. IEEE.

[6] LIN F, XIA Y, DEO Y, WU K, et al. Unsupervised domain adaptation for brain vessel segmentation through Transwarp contrastive learning; proceedings of the 2024 IEEE International Symposium on Biomedical Imaging (ISBI), F, 2024 [C]. IEEE.

[7] WU K, QIANG Y, SONG K, et al. Image synthesis in contrast MRI based on super resolution reconstruction with multi-refinement cycle-consistent generative adversarial networks [J]. Journal of Intelligent Manufacturing, 2020, 31(5): 1215-28.