MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhuang, Jiaxin, Wu, Linshan, Wang, Qiong, Fei, Peng, Vardhanabhuti, Varut, Luo, Lin, Chen, Hao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training
por: Ni, Xuefeng, et al.
Publicado: (2024)
por: Ni, Xuefeng, et al.
Publicado: (2024)
Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
por: Wu, Linshan, et al.
Publicado: (2024)
por: Wu, Linshan, et al.
Publicado: (2024)
VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
por: Wu, Linshan, et al.
Publicado: (2024)
por: Wu, Linshan, et al.
Publicado: (2024)
Mask What Matters: Controllable Text-Guided Masking for Self-Supervised Medical Image Analysis
por: Wang, Ruilang, et al.
Publicado: (2025)
por: Wang, Ruilang, et al.
Publicado: (2025)
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection
por: Chen, Tianxiang, et al.
Publicado: (2024)
por: Chen, Tianxiang, et al.
Publicado: (2024)
MiM-DiT: MoE in MoE with Diffusion Transformers for All-in-One Image Restoration
por: Kong, Lingshun, et al.
Publicado: (2026)
por: Kong, Lingshun, et al.
Publicado: (2026)
FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition
por: Wu, Linshan, et al.
Publicado: (2025)
por: Wu, Linshan, et al.
Publicado: (2025)
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
por: Wu, Linshan, et al.
Publicado: (2025)
por: Wu, Linshan, et al.
Publicado: (2025)
Glance and Focus Reinforcement for Pan-cancer Screening
por: Wu, Linshan, et al.
Publicado: (2026)
por: Wu, Linshan, et al.
Publicado: (2026)
Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
por: Das, Badhan Kumar, et al.
Publicado: (2025)
por: Das, Badhan Kumar, et al.
Publicado: (2025)
Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision
por: Gao, Yunhe, et al.
Publicado: (2026)
por: Gao, Yunhe, et al.
Publicado: (2026)
MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training
por: Wu, Biao, et al.
Publicado: (2024)
por: Wu, Biao, et al.
Publicado: (2024)
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
por: Li, Lei, et al.
Publicado: (2024)
por: Li, Lei, et al.
Publicado: (2024)
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation
por: Gu, Pengfei, et al.
Publicado: (2024)
por: Gu, Pengfei, et al.
Publicado: (2024)
Masked Self-Supervised Pre-Training for Text Recognition Transformers on Large-Scale Datasets
por: Kišš, Martin, et al.
Publicado: (2025)
por: Kišš, Martin, et al.
Publicado: (2025)
MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training
por: Zhu, Lei, et al.
Publicado: (2025)
por: Zhu, Lei, et al.
Publicado: (2025)
Centered Masking for Language-Image Pre-Training
por: Liang, Mingliang, et al.
Publicado: (2024)
por: Liang, Mingliang, et al.
Publicado: (2024)
HU-based Foreground Masking for 3D Medical Masked Image Modeling
por: Lee, Jin, et al.
Publicado: (2025)
por: Lee, Jin, et al.
Publicado: (2025)
AMLP: Adjustable Masking Lesion Patches for Self-Supervised Medical Image Segmentation
por: Wang, Xiangtao, et al.
Publicado: (2023)
por: Wang, Xiangtao, et al.
Publicado: (2023)
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs with Pixel Masking
por: Cheng, Zhixiang, et al.
Publicado: (2025)
por: Cheng, Zhixiang, et al.
Publicado: (2025)
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis
por: Wu, Linshan, et al.
Publicado: (2024)
por: Wu, Linshan, et al.
Publicado: (2024)
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
por: Bahri, Ali, et al.
Publicado: (2024)
por: Bahri, Ali, et al.
Publicado: (2024)
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning
por: Liu, Jiarun, et al.
Publicado: (2024)
por: Liu, Jiarun, et al.
Publicado: (2024)
Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics
por: Röhrich, Nikolai, et al.
Publicado: (2025)
por: Röhrich, Nikolai, et al.
Publicado: (2025)
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
por: Tang, Fenghe, et al.
Publicado: (2024)
por: Tang, Fenghe, et al.
Publicado: (2024)
Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
por: Zhao, Jiale, et al.
Publicado: (2024)
por: Zhao, Jiale, et al.
Publicado: (2024)
Muskie: Multi-view Masked Image Modeling for 3D Vision Pre-training
por: Li, Wenyu, et al.
Publicado: (2025)
por: Li, Wenyu, et al.
Publicado: (2025)
Pre-Trained Masked Image Model for Mobile Robot Navigation
por: Sharma, Vishnu Dutt, et al.
Publicado: (2023)
por: Sharma, Vishnu Dutt, et al.
Publicado: (2023)
Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders
por: Eymaël, Alexandre, et al.
Publicado: (2024)
por: Eymaël, Alexandre, et al.
Publicado: (2024)
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
por: Reddy, Arun, et al.
Publicado: (2023)
por: Reddy, Arun, et al.
Publicado: (2023)
Self-Speculative Masked Diffusions
por: Campbell, Andrew, et al.
Publicado: (2025)
por: Campbell, Andrew, et al.
Publicado: (2025)
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation
por: Lv, Yunhao, et al.
Publicado: (2025)
por: Lv, Yunhao, et al.
Publicado: (2025)
D$^3$epth: Self-Supervised Depth Estimation with Dynamic Mask in Dynamic Scenes
por: Chen, Siyu, et al.
Publicado: (2024)
por: Chen, Siyu, et al.
Publicado: (2024)
Multi-Modal Soccer Scene Analysis with Masked Pre-Training
por: Peral, Marc, et al.
Publicado: (2025)
por: Peral, Marc, et al.
Publicado: (2025)
Asymmetric Mask Scheme for Self-Supervised Real Image Denoising
por: Liao, Xiangyu, et al.
Publicado: (2024)
por: Liao, Xiangyu, et al.
Publicado: (2024)
Adaptive Texture-aware Masking for Self-Supervised Learning in 3D Dental CBCT Analysis
por: Yang, Xinquan, et al.
Publicado: (2026)
por: Yang, Xinquan, et al.
Publicado: (2026)
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring
por: Gowda, Shreyank N, et al.
Publicado: (2024)
por: Gowda, Shreyank N, et al.
Publicado: (2024)
Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training
por: Sun, Peng, et al.
Publicado: (2026)
por: Sun, Peng, et al.
Publicado: (2026)
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
por: Luo, Luyang, et al.
Publicado: (2023)
por: Luo, Luyang, et al.
Publicado: (2023)
Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation
por: Yang, Yuchen, et al.
Publicado: (2023)
por: Yang, Yuchen, et al.
Publicado: (2023)
Ejemplares similares
-
MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training
por: Ni, Xuefeng, et al.
Publicado: (2024) -
Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
por: Wu, Linshan, et al.
Publicado: (2024) -
VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
por: Wu, Linshan, et al.
Publicado: (2024) -
Mask What Matters: Controllable Text-Guided Masking for Self-Supervised Medical Image Analysis
por: Wang, Ruilang, et al.
Publicado: (2025) -
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection
por: Chen, Tianxiang, et al.
Publicado: (2024)