Showing 1–20 of 74 results
/ Date/ Name
Jun 10, 2019Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted LossJul 7, 2020Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural NetworksJul 3, 2017DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image SegmentationAug 11, 2022PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge DistillationJun 29, 2023MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated DatasetApr 3, 2020SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D VisualizationSep 1, 2017Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural NetworksOct 18, 2018Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time AugmentationSep 19, 2023UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image SegmentationApr 7, 2024FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image SegmentationOct 11, 2017Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuningApr 25, 2021MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep LearningSep 1, 2025MetaSSL: A General Heterogeneous Loss for Semi-Supervised Medical Image SegmentationAug 19, 2022PyMIC: A deep learning toolkit for annotation-efficient medical image segmentationJun 7, 2022HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in RadiotherapyJul 2, 2020Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI SlicesJul 19, 2018Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networksDec 29, 2020Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial LearningSep 29, 2021Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense AttentionNov 5, 2018Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge