| Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume Mixing | Oct 20, 2024 | Image SegmentationInstance Segmentation | CodeCode Available | 0 | 5 |
| Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks | Dec 23, 2024 | Medical Image Analysis | CodeCode Available | 0 | 5 |
| 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes | Nov 23, 2017 | GPULesion Detection | CodeCode Available | 0 | 5 |
| Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net | Jan 24, 2025 | Medical Image AnalysisSegmentation | 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 |
| Is Texture Predictive for Age and Sex in Brain MRI? | Jul 25, 2019 | Medical Image Analysis | CodeCode Available | 0 | 5 |
| Decomposition of Longitudinal Deformations via Beltrami Descriptors | Aug 6, 2020 | Medical Image Analysis | CodeCode Available | 0 | 5 |
| Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative | Nov 30, 2022 | Anomaly DetectionMedical Image Analysis | CodeCode Available | 0 | 5 |
| Image Segmentation: Inducing graph-based learning | Jan 7, 2025 | Autonomous DrivingImage Segmentation | CodeCode Available | 0 | 5 |
| IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels | Oct 28, 2022 | Image SegmentationInductive Bias | CodeCode Available | 0 | 5 |
