| Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey | May 5, 2023 | BenchmarkingImage Generation | CodeCode Available | 0 | 5 |
| Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images | Sep 23, 2021 | Computed Tomography (CT)Medical Image Analysis | CodeCode Available | 0 | 5 |
| Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context Adaptation | Jan 14, 2025 | Active Learningclass-incremental learning | CodeCode Available | 0 | 5 |
| AGD-Autoencoder: Attention Gated Deep Convolutional Autoencoder for Brain Tumor Segmentation | Jul 7, 2021 | Brain SegmentationBrain Tumor Segmentation | CodeCode Available | 0 | 5 |
| GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion Analysis | Feb 23, 2025 | ClassificationDiagnostic | CodeCode Available | 0 | 5 |
| Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies | Aug 2, 2023 | Anomaly DetectionImage Segmentation | CodeCode Available | 0 | 5 |
| Conquering the Retina: Bringing Visual in-Context Learning to OCT | Jun 18, 2025 | In-Context LearningMedical Image Analysis | CodeCode Available | 0 | 5 |
| Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study | Apr 30, 2021 | Computed Tomography (CT)Denoising | CodeCode Available | 0 | 5 |
| GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation | Jan 6, 2025 | Cardiac SegmentationImage Segmentation | CodeCode Available | 0 | 5 |
| Going to Extremes: Weakly Supervised Medical Image Segmentation | Sep 25, 2020 | BIG-bench Machine LearningImage Segmentation | CodeCode Available | 0 | 5 |
