Saved in:
| Main Authors: | Gao, Yibo, Zhou, Hangqi, Gao, Zheyao, Wang, Bomin, Gao, Shangqi, Wang, Sihan, Zhuang, Xiahai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.14049 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study
by: Wang, Bomin, et al.
Published: (2026)
by: Wang, Bomin, et al.
Published: (2026)
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
by: Gao, Yibo, et al.
Published: (2024)
by: Gao, Yibo, et al.
Published: (2024)
InDeed: Interpretable image deep decomposition with guaranteed generalizability
by: Wang, Sihan, et al.
Published: (2025)
by: Wang, Sihan, et al.
Published: (2025)
ZScribbleSeg: A comprehensive segmentation framework with modeling of efficient annotation and maximization of scribble supervision
by: Zhang, Ke, et al.
Published: (2026)
by: Zhang, Ke, et al.
Published: (2026)
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning
by: Wang, Bomin, et al.
Published: (2024)
by: Wang, Bomin, et al.
Published: (2024)
Generalized Evidential Deep Learning: From a Bayesian Perspective
by: Liu, Yuanye, et al.
Published: (2026)
by: Liu, Yuanye, et al.
Published: (2026)
Principle-Guided Supervision for Interpretable Uncertainty in Medical Image Segmentation
by: Sui, An, et al.
Published: (2026)
by: Sui, An, et al.
Published: (2026)
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging
by: Liu, Yuanye, et al.
Published: (2024)
by: Liu, Yuanye, et al.
Published: (2024)
Probabilistic Modeling of Multi-rater Medical Image Segmentation for Diversity and Personalization
by: Liu, Ke, et al.
Published: (2025)
by: Liu, Ke, et al.
Published: (2025)
Open World MRI Reconstruction with Bias-Calibrated Adaptation
by: Liu, Jiyao, et al.
Published: (2026)
by: Liu, Jiyao, et al.
Published: (2026)
Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis
by: Wang, Sihan, et al.
Published: (2025)
by: Wang, Sihan, et al.
Published: (2025)
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification
by: Gao, Yunhe, et al.
Published: (2024)
by: Gao, Yunhe, et al.
Published: (2024)
Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
by: Li, Yuzhu, et al.
Published: (2025)
by: Li, Yuzhu, et al.
Published: (2025)
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)
by: Gao, Yifan, et al.
Published: (2023)
GAFR-Net: A Graph Attention and Fuzzy-Rule Network for Interpretable Breast Cancer Image Classification
by: Gao, Lin-Guo, et al.
Published: (2026)
by: Gao, Lin-Guo, et al.
Published: (2026)
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
by: Liu, Jiyao, et al.
Published: (2024)
by: Liu, Jiyao, et al.
Published: (2024)
X-Edit: Exact, Explicit, and Explainable Null-Space Editing for Medical Vision Transformers
by: Liu, Yuanye, et al.
Published: (2026)
by: Liu, Yuanye, et al.
Published: (2026)
Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision
by: Gao, Yunhe, et al.
Published: (2026)
by: Gao, Yunhe, et al.
Published: (2026)
Multimodal Causal-Driven Representation Learning for Generalizable Medical Image Segmentation
by: Liang, Xusheng, et al.
Published: (2025)
by: Liang, Xusheng, et al.
Published: (2025)
Few-Shot Video Object Segmentation in X-Ray Angiography Using Local Matching and Spatio-Temporal Consistency Loss
by: Xi, Lin, et al.
Published: (2026)
by: Xi, Lin, et al.
Published: (2026)
MFVLR: Multi-domain Fine-grained Vision-Language Reconstruction for Generalizable Diffusion Face Forgery Detection and Localization
by: Zhang, Yaning, et al.
Published: (2026)
by: Zhang, Yaning, et al.
Published: (2026)
Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration
by: Luo, Xinzhe, et al.
Published: (2024)
by: Luo, Xinzhe, et al.
Published: (2024)
R$^{2}$Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection
by: Shen, Shuaike, et al.
Published: (2025)
by: Shen, Shuaike, et al.
Published: (2025)
Learning Generalizable and Efficient Image Watermarking via Hierarchical Two-Stage Optimization
by: Liu, Ke, et al.
Published: (2025)
by: Liu, Ke, et al.
Published: (2025)
AGENet: Adaptive Edge-aware Geodesic Distance Learning for Few-Shot Medical Image Segmentation
by: Gao, Ziyuan
Published: (2025)
by: Gao, Ziyuan
Published: (2025)
Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation
by: Cheng, Zihan, et al.
Published: (2025)
by: Cheng, Zihan, et al.
Published: (2025)
LongSplat: Online Generalizable 3D Gaussian Splatting from Long Sequence Images
by: Huang, Guichen, et al.
Published: (2025)
by: Huang, Guichen, et al.
Published: (2025)
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
by: Qiu, Muyang, et al.
Published: (2024)
by: Qiu, Muyang, et al.
Published: (2024)
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
by: Gao, Yicheng, et al.
Published: (2024)
by: Gao, Yicheng, et al.
Published: (2024)
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis
by: Wang, Hongmei, et al.
Published: (2024)
by: Wang, Hongmei, et al.
Published: (2024)
Atlas is Your Perfect Context: One-Shot Customization for Generalizable Foundational Medical Image Segmentation
by: Zhang, Ziyu, et al.
Published: (2025)
by: Zhang, Ziyu, et al.
Published: (2025)
Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification
by: Zeng, Zequn, et al.
Published: (2025)
by: Zeng, Zequn, et al.
Published: (2025)
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation
by: Gao, Ning, et al.
Published: (2024)
by: Gao, Ning, et al.
Published: (2024)
Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling
by: Cao, Yichuan, et al.
Published: (2025)
by: Cao, Yichuan, et al.
Published: (2025)
Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
by: Wang, Jiayi, et al.
Published: (2025)
by: Wang, Jiayi, et al.
Published: (2025)
Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection
by: Li, Yiheng, et al.
Published: (2026)
by: Li, Yiheng, et al.
Published: (2026)
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations
by: Wang, Na, et al.
Published: (2024)
by: Wang, Na, et al.
Published: (2024)
Interpretable Logical Anomaly Classification via Constraint Decomposition and Instruction Fine-Tuning
by: Zhang, Xufei, et al.
Published: (2026)
by: Zhang, Xufei, et al.
Published: (2026)
BARL: Bilateral Alignment in Representation and Label Spaces for Semi-Supervised Volumetric Medical Image Segmentation
by: Gao, Shujian, et al.
Published: (2025)
by: Gao, Shujian, et al.
Published: (2025)
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
by: Zhuang, Chenyi, et al.
Published: (2024)
by: Zhuang, Chenyi, et al.
Published: (2024)
Similar Items
-
Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study
by: Wang, Bomin, et al.
Published: (2026) -
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
by: Gao, Yibo, et al.
Published: (2024) -
InDeed: Interpretable image deep decomposition with guaranteed generalizability
by: Wang, Sihan, et al.
Published: (2025) -
ZScribbleSeg: A comprehensive segmentation framework with modeling of efficient annotation and maximization of scribble supervision
by: Zhang, Ke, et al.
Published: (2026) -
Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning
by: Wang, Bomin, et al.
Published: (2024)