Anomaly Detection for Medical Images using Heterogeneous Auto-Encoder [J]. IEEE Transactions on image processing, Shuai Lu, Weihang Zhang, He Zhao, Hanruo Liu, Ningli Wang. (中科院1区,TOP)
PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation [J], Neurocomputing, Shuai Lu, He Zhao, Hanruo Liu, Huiqi Li, Ningli Wang. (中科院2区,TOP)
Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images [J]. IEEE Transactions on Medical Imaging, Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li. (中科院1区, TOP)
PatchCL-AE: Anomaly Detection for Medical Images Using Patch-wise Contrastive Learning-based Auto-encoder [J].Computerized Medical Imaging and Graphics. Shuai Lu, Weihang zhang, Jia Guo, Han ruo Liu,Huiqi Li, Ningli Wang. (中科院2区)
Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples, Lu et al ,Sensors. (中科院3区)
A Novel Adaptive Weighted Loss Design in Adversarial Learning for Retinal Nerve Fiber Layer Defect Segmentation, IEEE Access. Lu et al.(中科院3区)
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs, Medical Image Analysis. (合作作者,中科院1区)
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis, npj Digital Medicine. (合作作者,中科院1区)
conference会议:
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction,NeurIPS’23, Jia Guo, Shuai Lu (CCF-A)
DE-AE: A Dual-Encoder-Based Auto-encoder Framework with Improved Transformer for Anomaly Detection in Medical Imaging, ICIEA2023, Shuai Lu, Weihang Zhang