Medical Imaging papers, 2023–2026

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.

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

346 papers, page 4 of 7

151. CVPR 2025Event Ellipsometer: Event-based Mueller-Matrix Video Imaging
152. CVPR 2025Interactive Medical Image Analysis with Concept-based Similarity Reasoning
153. CVPR 2025Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
154. CVPR 2025Latent Space Imaging
155. CVPR 2025Learned Binocular-Encoding Optics for RGBD Imaging Using Joint Stereo and Focus Cues
156. CVPR 2025LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
157. CVPR 2025Multi-modal Medical Diagnosis via Large-small Model Collaboration
158. CVPR 2025Multi-modal Vision Pre-training for Medical Image Analysis
159. CVPR 2025MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities
160. CVPR 2025OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection
161. CVPR 2025OpticalNet: An Optical Imaging Dataset and Benchmark Beyond the Diffraction Limit
162. CVPR 2025PolarFree: Polarization-based Reflection-Free Imaging
163. CVPR 2025Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging
164. CVPR 2025Revisiting MAE Pre-training for 3D Medical Image Segmentation
165. CVPR 2025SACB-Net: Spatial-awareness Convolutions for Medical Image Registration
166. CVPR 2025Show and Segment: Universal Medical Image Segmentation via In-Context Learning
167. CVPR 2025Towards All-in-One Medical Image Re-Identification
168. CVPR 2025UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion
169. CVPR 2025Unified Medical Lesion Segmentation via Self-referring Indicator
170. CVPR 2025VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
171. ICLR 2025Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models
172. ICLR 2025Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts
173. ICLR 2025Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
174. ICLR 2025LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
175. ICLR 2025MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
176. ICLR 2025Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data
177. ICLR 2025Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery
178. ICLR 2025Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
179. ICLR 2025Score-based Self-supervised MRI Denoising
180. ICLR 2025Time-to-Event Pretraining for 3D Medical Imaging
181. ICML 2025"Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence
182. ICML 2025Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks
183. ICML 2025iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
184. ICML 2025LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation
185. ICML 2025Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
186. ICML 2025Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models
187. ICML 2025Stochastic Deep Restoration Priors for Imaging Inverse Problems
188. ICML 2025TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging
189. NeurIPS 2025Adaptive Latent-Space Constraints in Personalized Federated Learning
190. NeurIPS 2025Adversarial generalization of unfolding (model-based) networks
191. NeurIPS 2025Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
192. NeurIPS 2025AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation
193. NeurIPS 2025Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
194. NeurIPS 2025Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search
195. NeurIPS 2025D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
196. NeurIPS 2025DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
197. NeurIPS 2025DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?
198. NeurIPS 2025Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy
199. NeurIPS 2025ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models
200. NeurIPS 2025Fast MRI for All: Bridging Access Gaps by Training without Raw Data

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.