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1
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Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification
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2
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Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation
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3
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AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets
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4
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Test-Time Selection for Robust Skin Lesion Analysis
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5
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Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes
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6
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Evidence-Driven Differential Diagnosis of Malignant Melanoma
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7
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An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease
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8
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Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method
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9
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Gradient Self-alignment in Private Deep Learning
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10
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Cellular Features Based Interpretable Network for Classifying Cell-Of-Origin from Whole Slide Images for Diffuse Large B-cell Lymphoma Patients
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11
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Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification
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12
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Cross-Task Attention Network: Improving Multi-task Learning for Medical Imaging Applications
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13
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Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model
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14
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Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging
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15
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GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as a Plug-and-Play Transductive Model for Medical Image Analysis
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16
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SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology
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17
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Multi-task Cooperative Learning via Searching for Flat Minima
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18
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MAP: Domain Generalization via <underline>M</underline>eta-Learning on <underline>A</underline>natomy-Consistent <underline>P</underline>seudo-Modalities
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19
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A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds
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20
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GPC: Generative and General Pathology Image Classifier
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21
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Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
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22
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Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification
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23
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SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation
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24
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Evaluation and Improvement of Segment Anything Model for Interactive Histopathology Image Segmentation
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25
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Task-Driven Prompt Evolution for Foundation Models
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26
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Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders
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27
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CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets
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28
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Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization
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29
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DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks
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30
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ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data
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31
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Validation of Federated Unlearning on Collaborative Prostate Segmentation
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32
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Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification
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33
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FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction
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34
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Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation
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35
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SplitFed Resilience to Packet Loss: Where to Split, that is the Question
