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

149 papers, page 3 of 3

101. CVPR 2024Diversified and Personalized Multi-rater Medical Image Segmentation
102. CVPR 2024Dual Prior Unfolding for Snapshot Compressive Imaging
103. CVPR 2024Dual-Scale Transformer for Large-Scale Single-Pixel Imaging
104. CVPR 2024Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI
105. CVPR 2024Generative Quanta Color Imaging
106. CVPR 2024In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
107. CVPR 2024iToF-flow-based High Frame Rate Depth Imaging
108. CVPR 2024LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
109. CVPR 2024MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
110. CVPR 2024MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
111. CVPR 2024Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention
112. CVPR 2024Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
113. CVPR 2024One-Prompt to Segment All Medical Images
114. CVPR 2024OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition
115. CVPR 2024Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging
116. CVPR 2024Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
117. CVPR 2024Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
118. CVPR 2024Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
119. CVPR 2024ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
120. CVPR 2024Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
121. CVPR 2024Transcriptomics-guided Slide Representation Learning in Computational Pathology
122. CVPR 2024Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
123. CVPR 2024VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
124. CVPR 2024WaveMo: Learning Wavefront Modulations to See Through Scattering
125. CVPR 2023A Unified HDR Imaging Method With Pixel and Patch Level
126. CVPR 2023All-in-Focus Imaging From Event Focal Stack
127. CVPR 2023Ambiguous Medical Image Segmentation Using Diffusion Models
128. CVPR 2023Analyzing Physical Impacts Using Transient Surface Wave Imaging
129. CVPR 2023Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data
130. CVPR 2023Directional Connectivity-Based Segmentation of Medical Images
131. CVPR 2023Fair Federated Medical Image Segmentation via Client Contribution Estimation
132. CVPR 2023Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization
133. CVPR 2023Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training
134. CVPR 2023Guided Depth Super-Resolution by Deep Anisotropic Diffusion
135. CVPR 2023HDR Imaging With Spatially Varying Signal-to-Noise Ratios
136. CVPR 2023Inverting the Imaging Process by Learning an Implicit Camera Model
137. CVPR 2023Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging
138. CVPR 2023MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation
139. CVPR 2023NLOST: Non-Line-of-Sight Imaging With Transformer
140. CVPR 2023Non-Line-of-Sight Imaging With Signal Superresolution Network
141. CVPR 2023Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation
142. CVPR 2023Passive Micron-Scale Time-of-Flight With Sunlight Interferometry
143. CVPR 2023PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training
144. CVPR 2023Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging
145. CVPR 2023Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
146. CVPR 2023Role of Transients in Two-Bounce Non-Line-of-Sight Imaging
147. CVPR 2023SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation
148. CVPR 2023Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction
149. CVPR 2023What Happened 3 Seconds Ago? Inferring the Past With Thermal Imaging

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.