biomedical image segmentation

TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation MIDL 2026 nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark CVPR 2025 Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging MIDL 2025 Hyper-Convolution Networks for Biomedical Image Segmentation WACV 2022 Ensembling Low Precision Models for Binary Biomedical Image Segmentation WACV 2021 Non-Local U-Nets for Biomedical Image Segmentation AAAI 2020 Object-Guided Instance Segmentation for Biological Images AAAI 2020 Biomedical Image Segmentation via Representative Annotation AAAI 2019 Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation CVPR 2019 Learning Multi-Class Segmentations From Single-Class Datasets CVPR 2019 Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks AAAI 2019 SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation MIDL 2019 Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation CVPR 2018 Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation NeurIPS 2016