3d medical imaging

Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision CVPR 2026 Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement AAAI 2026 Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework ACL 2026 An OpenMind for 3D Medical Vision Self-supervised Learning ICCV 2025 AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation WACV 2025 Autoregressive Sequence Modeling for 3D Medical Image Representation AAAI 2025 LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging CVPR 2025 Multi-Resolution Guided 3D GANs for Medical Image Translation WACV 2025 PAMN: Multi-phase Correlation Modeling for Contrast-Enhanced 3D Medical Image Retrieval EMNLP 2025 Revisiting MAE Pre-training for 3D Medical Image Segmentation CVPR 2025 Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network WACV 2025 Time-to-Event Pretraining for 3D Medical Imaging ICLR 2025 VasTSD: Learning 3D Vascular Tree-state Space Diffusion Model for Angiography Synthesis CVPR 2025 Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical Images WACV 2025 A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency AAAI 2024 Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images WACV 2024 VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis CVPR 2024 CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation AAAI 2023 Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering AAAI 2023 M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice Transformer CVPR 2022 MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation IJCAI 2022 Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective AAAI 2021 T-AutoML: Automated Machine Learning for Lesion Segmentation Using Transformers in 3D Medical Imaging ICCV 2021 FocalMix: Semi-Supervised Learning for 3D Medical Image Detection CVPR 2020 Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains ICCV 2019