Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation
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Abstract (arXiv)
Unsupervised Domain Adaptation with SAM-RefiSeR for Enhanced Brain Tumor Segmentation
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 9 of its 15 references that are in the map. First posted on arXiv 11 Jan 2026.
Builds on
9 of 15 references.
References · 9
- 2023Segment Anythingcited by 8,234
- 2015Domain-Adversarial Training of Neural Networkscited by 3,044
- 2016V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentationcited by 2,292
- 2018ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentationcited by 623
- 2020FDA: Fourier Domain Adaptation for Semantic Segmentationcited by 541
- 20183D MRI brain tumor segmentation using autoencoder regularizationcited by 328
- 2021DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentationcited by 300
- 2022MIC: Masked Image Consistency for Context-Enhanced Domain Adaptationcited by 178
- 2022HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentationcited by 164
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Citing papers per year: 2026: 1.
1 paper.