| When do Convolutional Neural Networks Stop Learning? | Mar 4, 2024 | image-classificationImage Classification | CodeCode Available | 0 |
| Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective | Feb 2, 2025 | FairnessImage Segmentation | CodeCode Available | 0 |
| Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images | Mar 14, 2024 | Data AugmentationMedical Image Analysis | CodeCode Available | 0 |
| Operating critical machine learning models in resource constrained regimes | Mar 17, 2023 | Deep LearningMedical Image Analysis | CodeCode Available | 0 |
| Comparing radiologists' gaze and saliency maps generated by interpretability methods for chest x-rays | Dec 22, 2021 | Medical Image Analysis | CodeCode Available | 0 |
| Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks | Nov 30, 2017 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification | Feb 12, 2024 | image-classificationImage Classification | CodeCode Available | 0 |
| Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels | Nov 24, 2022 | Federated LearningMedical Diagnosis | CodeCode Available | 0 |
| Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer | Oct 5, 2018 | Medical Image AnalysisTumor Segmentation | CodeCode Available | 0 |
| Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis | Jun 1, 2022 | Medical Image Analysisobject-detection | CodeCode Available | 0 |
