医学影像论文趋势 2023–2026

主要结论

• 医学影像论文从 2023 年的 45 篇增长到 2026 年的 132 篇，三年间扩大到约 2.9 倍。
• CVPR 是发医学影像论文最多的会议，2023–2026 年共 149 篇，占四个会议总量的 43%。
• 交叉方向里涨得最快的是驾驶仿真：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 13 篇。
• 在「健康与生命科学」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的临床 NLP是 3.2 倍，医学影像是 2.9 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026CardioLens: Revealing the Clinical Reality Gap of MLLMs via Multi-Sequence Cardiac MRI Evaluations
• ICML 2026Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements
• ICLR 2026COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics
• CVPR 2026CG-Reasoner Centroid-Guided Positional Reasoning Segmentation for Medical Imaging with a
• NeurIPS 2025Adaptive Latent-Space Constraints in Personalized Federated Learning
• ICML 2025TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging
• ICLR 2025Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
• CVPR 2025Active Hyperspectral Imaging Using an Event Camera
• NeurIPS 2024CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
• ICML 2024Auto-Linear Phenomenon in Subsurface Imaging
• ICLR 2024FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
• CVPR 2024Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
• NeurIPS 2023A case for reframing automated medical image classification as segmentation
• ICML 2023A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
• ICLR 20233D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
• CVPR 2023A Unified HDR Imaging Method With Pixel and Patch Level
• NeurIPS 2026Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging
• ICML 2026Spatially-Adaptive Gradient Re-parameterization for 3D Large Kernel Optimization
• ICLR 2026MedGMAE: Gaussian Masked Autoencoders for Medical Volumetric Representation Learning
• CVPR 2026Coded-E2LF Coded Aperture Light Field Imaging from Events

全部医学影像论文

共 346 篇，第 3 / 7 页

101. NeurIPS 2026CasePlay: Self-Play Reinforcement Learning from Case Reports for Medical Reasoning
102. NeurIPS 2026ClinStab: Stability-Oriented Learning for Medical Time Series via Dual-Stream Alignment
103. NeurIPS 2026Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging
104. NeurIPS 2026CRAFT: Causal Responsibility and Failure Tracing in Medical Vision Language Models
105. NeurIPS 2026Dataset Collections: Challenges of Large-Scale Data Aggregation in 3D Medical Image Datasets
106. NeurIPS 2026Dynamic Representation Modeling for Federated Medical Image Domain Generalization
107. NeurIPS 2026EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models
108. NeurIPS 2026Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging
109. NeurIPS 2026Event based Multi-Velocity-Scale Imaging
110. NeurIPS 2026Explainability matters: The effect of liability rules on the healthcare sector
111. NeurIPS 2026GauGal: Gaussian-Galerkin Electromagnetic Inverse Scattering Imaging
112. NeurIPS 2026ImmuVis: Hyperconvolutional Foundation Models for Imaging Mass Cytometry
113. NeurIPS 2026Less Evidence, Better Answering: Gain-Aware Minimal Evidence Subset Selection for Medical QA
114. NeurIPS 2026Med-Agentic: Distilling Agentic Medical Reasoning with Internalized Meta-Capabilities
115. NeurIPS 2026MedFlowBench: Auditing Medical Agents in Full-Study Workflows
116. NeurIPS 2026MedHEB: Benchmarking Medical Embeddings Across Heterogeneous Clinical Evidence
117. NeurIPS 2026MedPsy: State‑of‑the‑Art Small Medical Language Models for Efficient Edge Deployment
118. NeurIPS 2026MedVTok: A General-Purpose Medical Visual Tokenizer
119. NeurIPS 2026MID: Mask-Image Distributional Divergence for Evaluating Medical Image Segmentation
120. NeurIPS 2026PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images?
121. NeurIPS 2026Preconditioned Implicit Midpoint Langevin Sampling for Non-Smooth Bayesian Imaging
122. NeurIPS 2026Progressive Signal Calibration for Medical Image Segmentation: Diagnosing and Correcting Structural Misalignment in Training Signals
123. NeurIPS 2026QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems
124. NeurIPS 2026Selective Answering for Medical VQA via Parallel Independent Claim Verification
125. NeurIPS 2026SynTeX-FL: Cross-Modal Text Transfer in Federated Learning for Medical Visual Question Answering
126. NeurIPS 2026Topology-Reinforced Swin Transformer for Medical Image Analysis
127. NeurIPS 2026Uncertainty Estimation for Pretrained Medical Image Registration Models via Transformation Equivariance
128. NeurIPS 2026Visual Reinforcement Fine-Tuning via Bootstrapped Medical Reasoning
129. NeurIPS 2026WASP: Weakly Aligned Spatiotemporal Pairs for Fetal Brain MRI-Ultrasound Learning
130. NeurIPS 2026What Does the AI Doctor Value? Auditing Pluralism in the Clinical Ethics of Language Models
131. NeurIPS 2026When Medical VLMs Stop Understanding: MedTEC-Bench for Probing Semantic Specificity
132. NeurIPS 2026Where to Look Matters: Rethinking Sub-Volume Sampling in 3D Medical Self-supervised Learning
133. CVPR 2025A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations
134. CVPR 2025A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging
135. CVPR 2025A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
136. CVPR 2025Active Hyperspectral Imaging Using an Event Camera
137. CVPR 2025Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
138. CVPR 2025AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction
139. CVPR 2025Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp Segmentation
140. CVPR 2025Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis
141. CVPR 2025CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections
142. CVPR 2025DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging
143. CVPR 2025DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image
144. CVPR 2025Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes
145. CVPR 2025dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
146. CVPR 2025DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
147. CVPR 2025Dual Exposure Stereo for Extended Dynamic Range 3D Imaging
148. CVPR 2025DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation
149. CVPR 2025EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation
150. CVPR 2025Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation

常见问题

2023–2026 年四大会议一共有多少篇医学影像论文？

共 346 篇，按年份分别是 2023 年 45 篇、2024 年 71 篇、2025 年 98 篇、2026 年 132 篇。

NeurIPS 2026 有多少篇医学影像论文？

NeurIPS 2026 有 39 篇医学影像论文，上一届是 42 篇。

ICLR 2026 有多少篇医学影像论文？

ICLR 2026 有 27 篇医学影像论文，上一届是 10 篇。

ICML 2026 有多少篇医学影像论文？

ICML 2026 有 11 篇医学影像论文，上一届是 8 篇。

CVPR 2026 有多少篇医学影像论文？

CVPR 2026 有 55 篇医学影像论文，上一届是 38 篇。

哪个会议的医学影像论文最多？

CVPR，2023–2026 年共 149 篇。