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References from CDPDNet: Integrating text guidance with hybrid vision encoders for medical image segmentation. Local targets link to admitted publications; unresolved targets remain external evidence.
The medical segmentation decathlon
10.1038/s41467-022-30695-9 · 2022 · External reference
Unresolved reference
2023 · External reference
The liver tumor segmentation benchmark (lits)
10.1016/j.media.2022.102680 · 2023 · External reference
Emerging properties in self-supervised vision transformers
2021 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2023 · External reference
10.1109/cvpr.2017.195
10.1109/cvpr.2017.195 · External reference
An image is worth 16x16 words: Transformers for image recognition at scale
2020 · External reference
Segvol: Universal and interactive volumetric medical image segmentation
10.52202/079017-3516 · 2024 · External reference
Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction
10.1109/tmi.2020.3001036 · 2020 · External reference
10.1109/cvpr52733.2024.01064
10.1109/cvpr52733.2024.01064 · External reference
Multi-structure segmentation from partially labeled datasets. application to body composition measurements on ct scans
2018 · External reference
10.1609/aaai.v39i3.32335
10.1609/aaai.v39i3.32335 · External reference
Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images
2021 · External reference
10.1109/wacv51458.2022.00181
10.1109/wacv51458.2022.00181 · External reference
Unresolved reference
2020 · External reference
Learn2reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
10.1109/tmi.2022.3213983 · 2022 · External reference
Cat: Coordinating anatomical-textual prompts for multi-organ and tumor segmentation
10.52202/079017-0119 · 2024 · External reference
Multi-organ segmentation via co-training weight-averaged models from few-organ datasets
2020 · External reference
Unresolved reference
External reference
10.1038/s41592-020-01008-z · 2021 · Admitted local publication
Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation
10.52202/068431-2661 · 2022 · External reference
10.1109/cvpr52733.2024.01082
10.1109/cvpr52733.2024.01082 · External reference
Enhancing semi-supervised skin lesion segmentation with text-guided pseudo descriptions
10.1016/j.compmedimag.2026.102811 · 2026 · External reference
Automated deep learning-based detection and segmentation of lung tumors at ct
10.1148/radiol.233029 · 2025 · External reference
10.1109/iccv51070.2023.00371
10.1109/iccv51070.2023.00371 · External reference
Towards generic abdominal multi-organ segmentation with multiple partially labeled datasets
10.1016/j.compmedimag.2025.102642 · 2025 · External reference
Tef-sam: Prototype memory for medical lesion segmentation with text-free inference
10.1016/j.compmedimag.2026.102816 · 2026 · External reference
Grounding dino: Marrying dino with grounded pre-training for open-set object detection
2024 · External reference
Clip-driven universal model for organ segmentation and tumor detection
2023 · External reference
Word: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from ct image
10.1016/j.media.2022.102642 · 2022 · External reference
Segment anything in medical images
10.1038/s41467-024-44824-z · 2024 · External reference
Unresolved reference
2023 · External reference
Abdomenct-1k: Is abdominal organ segmentation a solved problem?
10.1109/tpami.2021.3100536 · 2021 · External reference
Dinov2: Learning robust visual features without supervision
2023 · External reference
Computer-aided detection of subsolid nodules at chest ct: improved performance with deep learning–based ct section thickness reduction
10.1148/radiol.2021203387 · 2021 · External reference
Exploring scalable medical image encoders beyond text supervision
2025 · External reference
Learning transferable visual models from natural language supervision
2021 · External reference
Ct-org, a new dataset for multiple organ segmentation in computed tomography
10.1038/s41597-020-00715-8 · 2020 · External reference
Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation
2015 · External reference
Deep learning in medical imaging and radiation therapy
10.1002/mp.13264 · 2019 · External reference
Marginal loss and exclusion loss for partially supervised multi-organ segmentation
10.1016/j.media.2021.101979 · 2021 · External reference
Unsupervised object localization in the era of self-supervised vits: A survey
10.1007/s11263-024-02167-8 · 2025 · External reference
Unresolved reference
2010 · External reference
Ta-medsam: Text-augmented improved medsam for pulmonary lesion segmentation
10.1016/j.compmedimag.2026.102698 · 2026 · External reference
Multi-modal learning from unpaired images: Application to multi-organ segmentation in ct and mri
2018 · External reference
Cut and learn for unsupervised object detection and instance segmentation
2023 · External reference
Sam-med3d: A vision foundation model for general-purpose segmentation on volumetric medical images
10.1109/tnnls.2025.3586694 · 2025 · External reference
Collect vascular specimens in one cabinet: A hierarchical prompt-guided universal model for 3d vascular segmentation
10.1016/j.compmedimag.2025.102650 · 2025 · External reference
Self-supervised transformers for unsupervised object discovery using normalized cut
2022 · External reference
Tokencut: Segmenting objects in images and videos with self-supervised transformer and normalized cut
10.1109/tpami.2023.3305122 · 2023 · External reference
Learning from partially labeled data for multi-organ and tumor segmentation
10.1109/tpami.2023.3312587 · 2023 · External reference
10.1109/cvpr52729.2023.00289
10.1109/cvpr52729.2023.00289 · External reference
Uniseg: A prompt-driven universal segmentation model as well as a strong representation learner
2023 · External reference
Crossbar-net: A novel convolutional neural network for kidney tumor segmentation in ct images
10.1109/tip.2019.2905537 · 2019 · External reference
Dodnet: Learning to segment multi-organ and tumors from multiple partially labeled datasets
2021 · External reference
Light-weight hybrid convolutional network for liver tumor segmentation
2019 · External reference
Prior-aware neural network for partially-supervised multi-organ segmentation
2019 · External reference
Unet++: A nested u-net architecture for medical image segmentation
2018 · External reference
Multi-scale coarse-to-fine segmentation for screening pancreatic ductal adenocarcinoma
2019 · External reference
Segment everything everywhere all at once
10.52202/075280-0868 · 2023 · External reference
