22 results on '"Pujin Cheng"'
Search Results
2. Text-guided Foundation Model Adaptation for Long-Tailed Medical Image Classification.
3. Saliency-guided and Patch-based Mixup for Long-tailed Skin Cancer Image Classification.
4. FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation.
5. FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification.
6. ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation.
7. JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection.
8. Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior.
9. Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement.
10. PRIOR: Prototype Representation Joint Learning from Medical Images and Reports.
11. Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion.
12. AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation.
13. YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation.
14. UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment.
15. SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading.
16. Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning.
17. DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network.
18. Student Become Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation.
19. LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment.
20. Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images.
21. BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images.
22. Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.