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3. An Architecture for an Adaptive Intrusion-Tolerant Server

7. DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks

8. FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction

9. Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification

10. Task-Driven Prompt Evolution for Foundation Models

11. Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation

12. SplitFed Resilience to Packet Loss: Where to Split, that is the Question

13. Validation of Federated Unlearning on Collaborative Prostate Segmentation

14. ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data

15. Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization

16. Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders

17. GPC: Generative and General Pathology Image Classifier

18. Evaluation and Improvement of Segment Anything Model for Interactive Histopathology Image Segmentation

19. SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation

20. Multi-task Cooperative Learning via Searching for Flat Minima

21. CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets

22. SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology

23. A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds

24. Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification

25. Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation

26. MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities

27. GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as a Plug-and-Play Transductive Model for Medical Image Analysis

28. Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model

29. Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging

30. An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease

31. Cross-Task Attention Network: Improving Multi-task Learning for Medical Imaging Applications

32. Gradient Self-alignment in Private Deep Learning

33. Test-Time Selection for Robust Skin Lesion Analysis

34. Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes

35. Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification

36. Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation

37. Evidence-Driven Differential Diagnosis of Malignant Melanoma

38. AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets

39. Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method

40. Cellular Features Based Interpretable Network for Classifying Cell-Of-Origin from Whole Slide Images for Diffuse Large B-cell Lymphoma Patients

41. Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification

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