Medical Imaging papers, 2023–2026
CT, MRI, and pathology
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 346 papers are tagged with this topic.
Key findings
- Medical Imaging went from 45 papers in 2023 to 132 in 2026, roughly 2.9x in three years.
- CVPR publishes the most Medical Imaging work: 149 papers from 2023 to 2026, 43% of the four-venue total.
- The fastest-growing overlap is with Simulation for Driving: papers tagged with both rose from 1 in 2023 to 13 in 2026.
- Among the 5 topics under Health and Life Sciences, it ranks #3 by 2026 paper count; the fastest grower in the group, Clinical NLP, is up 3.2x versus 2.9x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 11 | 6 | 3 | 25 | 45 |
| 2024 | 28 | 8 | 4 | 31 | 71 |
| 2025 | 42 | 10 | 8 | 38 | 98 |
| 2026 | 39 | 27 | 11 | 55 | 132 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Medical Imaging papers
71 papers, page 1 of 2
- CVPR 2024Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images
- CVPR 2024Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
- CVPR 2024Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
- CVPR 2024CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
- CVPR 2024Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
- CVPR 2024DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model
- CVPR 2024Dispersed Structured Light for Hyperspectral 3D Imaging
- CVPR 2024Diversified and Personalized Multi-rater Medical Image Segmentation
- CVPR 2024Dual Prior Unfolding for Snapshot Compressive Imaging
- CVPR 2024Dual-Scale Transformer for Large-Scale Single-Pixel Imaging
- CVPR 2024Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI
- CVPR 2024Generative Quanta Color Imaging
- CVPR 2024In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
- CVPR 2024iToF-flow-based High Frame Rate Depth Imaging
- CVPR 2024LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
- CVPR 2024MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
- CVPR 2024MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
- CVPR 2024Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention
- CVPR 2024Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
- CVPR 2024One-Prompt to Segment All Medical Images
- CVPR 2024OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition
- CVPR 2024Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging
- CVPR 2024Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
- CVPR 2024Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
- CVPR 2024Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
- CVPR 2024ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
- CVPR 2024Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
- CVPR 2024Transcriptomics-guided Slide Representation Learning in Computational Pathology
- CVPR 2024Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
- CVPR 2024VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
- CVPR 2024WaveMo: Learning Wavefront Modulations to See Through Scattering
- ICLR 2024A Restoration Network as an Implicit Prior
- ICLR 2024Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction
- ICLR 2024FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
- ICLR 2024FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
- ICLR 2024How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
- ICLR 2024Pooling Image Datasets with Multiple Covariate Shift and Imbalance
- ICLR 2024Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
- ICLR 2024The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
- ICML 2024Auto-Linear Phenomenon in Subsurface Imaging
- ICML 2024Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning
- ICML 2024MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
- ICML 2024Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
- 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
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Medical Imaging papers grew at CVPR from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "medical-imaging"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
FAQ
- How many Medical Imaging papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 346 in total: 45 in 2023, 71 in 2024, 98 in 2025, 132 in 2026.
- How many Medical Imaging papers are at NeurIPS 2026?
- NeurIPS 2026 has 39 Medical Imaging papers, versus 42 the year before.
- How many Medical Imaging papers are at ICLR 2026?
- ICLR 2026 has 27 Medical Imaging papers, versus 10 the year before.
- How many Medical Imaging papers are at ICML 2026?
- ICML 2026 has 11 Medical Imaging papers, versus 8 the year before.
- How many Medical Imaging papers are at CVPR 2026?
- CVPR 2026 has 55 Medical Imaging papers, versus 38 the year before.
- Which conference publishes the most Medical Imaging papers?
- CVPR, with 149 papers from 2023 to 2026.