| Suggestive Labelling for Medical Image Analysis by Adaptive Latent Space Sampling | Jan 25, 2020 | InformativenessMedical Image Analysis | —Unverified | 0 | 0 |
| Superpixel-Guided Label Softening for Medical Image Segmentation | Jul 17, 2020 | Image SegmentationMedical Image Analysis | —Unverified | 0 | 0 |
| Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images | Jul 1, 2021 | Domain AdaptationMedical Image Analysis | —Unverified | 0 | 0 |
| Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data | Jan 25, 2019 | ColorizationMedical Image Analysis | —Unverified | 0 | 0 |
| Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation | Feb 28, 2023 | Image SegmentationLesion Segmentation | —Unverified | 0 | 0 |
| Switching Loss for Generalized Nucleus Detection in Histopathology | Aug 9, 2020 | GPUMedical Image Analysis | —Unverified | 0 | 0 |
| SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images | Mar 12, 2020 | Medical Image AnalysisSynthetic Data Generation | —Unverified | 0 | 0 |
| SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation | Oct 26, 2023 | Brain Tumor SegmentationDecoder | —Unverified | 0 | 0 |
| Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation | Mar 10, 2025 | Image GenerationMedical Image Analysis | —Unverified | 0 | 0 |
| Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation | Feb 6, 2025 | Brain Tumor SegmentationData Augmentation | —Unverified | 0 | 0 |
