医学影像论文趋势 2023–2026
CT/MRI/病理
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 346 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 11 | 6 | 3 | 25 | 45 |
| 2024 | 28 | 8 | 4 | 31 | 71 |
| 2025 | 42 | 10 | 8 | 38 | 98 |
| 2026 | 39 | 27 | 11 | 55 | 132 |
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 120 篇,第 2 / 3 页
- NeurIPS 2025Fast MRI for All: Bridging Access Gaps by Training without Raw Data
- NeurIPS 2025From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging
- NeurIPS 2025From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models
- NeurIPS 2025Gate to the Vessel: Residual Experts Restore What SAM Overlooks
- NeurIPS 2025High Dynamic Range Imaging with Time-Encoding Spike Camera
- NeurIPS 2025Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing
- NeurIPS 2025Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems
- NeurIPS 2025Learning to Zoom with Anatomical Relations for Medical Structure Detection
- NeurIPS 2025Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation
- NeurIPS 2025MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
- NeurIPS 2025MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives
- NeurIPS 2025Non-Line-of-Sight 3D Reconstruction with Radar
- NeurIPS 2025NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI
- NeurIPS 2025NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems
- NeurIPS 2025OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement
- NeurIPS 2025Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
- NeurIPS 2025Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains
- NeurIPS 2025RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
- NeurIPS 2025Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2
- NeurIPS 2025Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective
- NeurIPS 2025Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
- NeurIPS 2025SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation
- NeurIPS 2025SMMILE: An expert-driven benchmark for multimodal medical in-context learning
- NeurIPS 2025Spectral Compressive Imaging via Chromaticity-Intensity Decomposition
- NeurIPS 2025The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective
- NeurIPS 2025Time-Embedded Algorithm Unrolling for Computational MRI
- NeurIPS 2025Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation
- NeurIPS 2025Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis
- NeurIPS 2025Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport
- NeurIPS 2025UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
- NeurIPS 2025Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
- NeurIPS 2024A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
- NeurIPS 2024Active preference learning for ordering items in- and out-of-sample
- NeurIPS 2024ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
- NeurIPS 2024An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations
- NeurIPS 2024Attention boosted Individualized Regression
- NeurIPS 2024Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding
- NeurIPS 2024CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
- NeurIPS 2024Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
- NeurIPS 2024Copycats: the many lives of a publicly available medical imaging dataset
- NeurIPS 2024Deep Learning in Medical Image Registration: Magic or Mirage?
- NeurIPS 2024Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection
- NeurIPS 2024Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
- NeurIPS 2024FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
- NeurIPS 2024Image-aware Evaluation of Generated Medical Reports
- NeurIPS 2024Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
- NeurIPS 2024MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
- NeurIPS 2024MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
- NeurIPS 2024MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models
- NeurIPS 2024MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查医学影像在 CVPR 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "medical-imaging"}
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。