Key papers

• Secure-by-Disguise: A Systematic Evaluation of Image Disguising for Confidential Medical Image Modeling (2026)
  Jason Rojas et al.
  5.01
• From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand (2026)
  Isarun Chamveha et al.
  5.01
• Partial Information Decomposition as a Multi-Contrast 3D MRI Selection Strategy for Resource-Constrained Deep Neural Network Training in Brain Tumor Segmentation (2026)
  Agamdeep Chopra et al.
  5.01
• Spatial Normalization for Cross-Domain Retinal Layer Segmentation in Optical Coherence Tomography (2026)
  Iker Moran-Cavero et al.
  5.01
• Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches (2026)
  Rick Wilming et al.
  5.01
• Anatomy-Aware 3D Mesh Refinement of Pericardium Segmentations on Computed Tomography (2026)
  Andreas W. Aspe et al.
  5.01
• Unsupervised Metal Artifact Reduction in Dental CBCT using Fine-tuned Cycle-Consistent Adversarial Networks (2026)
  G. L. T. Chamika et al.
  5.01
• ASTRA-Net: Anatomy-Specific Transfer and Representation Alignment for Drug-Induced Sleep Endoscopy Segmentation (2026)
  Suhua Sun et al.
  5.01
• UnDA: Unpaired Domain Alignment for Cross-Modal Knowledge Transfer in Medical Imaging (2026)
  Rafsan Jany et al.
  5.01
• Risk-Routed Implicit Boundary Refinement for Robust Ultrasound Image Segmentation (2026)
  Jingguo Qu et al.
  5.01
• Toward High-Fidelity 3D Point-Cloud Learning for Brain Folding Morphology Prediction Using Trans-Unet (2026)
  Geran Zhao et al.
  5.01
• Diffusion Models in Medical Image Inpainting: Challenges, Solution Taxonomy, and Future Directions (2026)
  Arthur Dantas Mangussi et al.
  5.01
• A Smooth Phase-Separation Model for Weak-Boundary Segmentation of Homogeneous Structures (2026)
  Zihan Li et al.
  5.01
• GLI-AL: A Multi-Modal Glioma MRI Label Resource with Unified Anatomy-Lesion Labels (2026)
  Xingyu Xiang et al.
  5.01
• Bowel Obstruction Detection and Localization on Abdominal CT with Deep Learning (2026)
  Moritz Vandenhirtz et al.
  5.01
• SLIP: Segmentation with Low-latency Interactive Prompting for 3D Medical Images (2026)
  Baptiste Podvin et al.
  5.01
• Active few-shot segmentation by reinforcing data selection (2026)
  Chenlan Zhao et al.
  5.01
• EMBRACE: A Multi-task Framework for Comprehensive Quality Assessment in Cleavage-stage Embryo (2026)
  Anwar Hussain Sofi et al.
  4.39
• TRACE-PCa: Predicting Prostate Cancer Progression from Longitudinal MRI During Active Surveillance (2026)
  Hongye Zeng et al.
  4.39
• TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model (2026)
  Zhenkai Zhang et al.
  4.39
• A novel unsupervised machine learning strategy to handle multimodal cardiac PET/MRI data (2026)
  Brunnhilde Ponsi (Nantes Universit\'e et al.
  4.39
• Comparing Spectrogram Front-Ends for Abnormal Heart-Sound Detection with a Convolutional Neural Network (2026)
  Abhinav Pala et al.
  4.39
• FedCC: A Low-Resource Federated Adaptation of Foundation Models for Robust Corpus Callosum localization in Fetal Ultrasound Images (2026)
  Alessandro Di Matteo et al.
  4.39
• Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification (2026)
  Kritanu Chattopadhyay et al.
  4.39
• A Dual Path Framework with Hotspot Guided Fusion for Three Dimensional CT to PET Synthesis in Head and Neck Cancer (2026)
  Mohd Maaz Khan et al.
  4.39
• ProMUSE: Progressive Multi-modal Uncertainty-guided Staged Evidential Alzheimer Disease Classification (2026)
  Long Doan et al.
  4.33
• Bridging Modalities: Joint Synthesis and Registration Framework for Aligning Diffusion MRI with T1-Weighted Images (2026)
  Xiaofan Wang et al.
  3.92
• Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models (2026)
  Tim Lenz et al.
  3.51
• Complementary Roles of Image Classification and Vessel Segmentation in AI-Based Screening for Retinopathy of Prematurity Plus Disease in a Kenyan Preterm Cohort (2026)
  Fred Mutisya et al.
  3.51
• GenDiff: A Dose and Anatomy Aware Diffusion Model with Structural Prior Refinement for Low-Dose CT Reconstruction and Generalization (2026)
  Md Imam Ahasan et al.
  3.51
• Learning from Complementary Ultrasound Representations for Liver Disease Classification (2026)
  Sabahattin Mert Daloglu et al.
  3.51
• NEEDL-Bench: Dataset for Swiss Needle Cast and Stomata Detection in Microscopy Images (2026)
  Benjamin Blake et al.
  3.51
• From Reconstruction to Interpretation: Zero-Setup Multi-Phase Segmentation of X-ray Tomography Data (2026)
  Pradyumna Elavarthi et al.
  3.51
• Beyond Binary Detection: A Multi-Dimensional Taxonomy of Cancer Misinformation on Reddit (2026)
  Aria Pessianzadeh et al.
  3.51
• Seeing Globally, Refining Locally: Global Visual Guidance and Local Ultrasound Cues for Robust Freehand 3-D Ultrasound Reconstruction (2026)
  Yameng Zhang et al.
  3.51
• Physically Aware Radiomics Without Interpolation: Disentangling Voxel Geometry and Signal Modification in CT and MRI (2026)
  David Corral Fontecha et al.
  3.51
• CGRL: Concept-Guided Pruning and Representation Learning for Whole-Slide Image Classification (2026)
  Thuc Huynh et al.
  3.51
• MAGE: Color-Invariant and Spatial Knowledge Distillation for Gastric Neoplasm Classification (2026)
  Jiho Jun et al.
  3.51
• Lesion Segmentation in Moderate to Severe Traumatic Brain Injury: An nnU-Net Based Approach with Adaptive Normalization in the AIMS-TBI 2025 Challenge (2026)
  Inhwa Son et al.
  3.51
• PC-Seg: Progressive Cross-View Consistency for 3D OCT Segmentation from Sparse 2D Annotations (2026)
  Tsubasa Konno et al.
  3.51
• GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis (2026)
  Naoto Usuyama et al.
  3.51
• 3D Masked Autoencoders are Robust Learners of Volumetric and Multimodal Cellular Representations for Microscopy (2026)
  Amirhossein Kardoost et al.
  3.45
• Enhancing Synthetic CT From CBCT Via Multimodal Fusion And End-to-end Registration (2025)
  Maximilian Tschuchnig, Lukas Lamminger, Philipp Steininger, et al.
  2.93
• Multimodal Feature Prototype Learning For Interpretable And Discriminative Cancer Survival Prediction (2025)
  Shuo Jiang, Zhuwen Chen, Liaoman Xu, et al.
  2.55
• Adaptive Contrast Enhancement and Optimised Feature Matching for RootSIFT-Based Palm-Vein Recognition (2026)
  Kaveen Perera et al.
  2.00
• PI-NAIM: Path-integrated Neural Adaptive Imputation Model (2025)
  Afifa Khaled, Ebrahim Hamid Sumiea
  1.98
• Response-Aware Multimodal Learning for Post-Treatment Visual Acuity Forecasting (2026)
  Phuoc-Nguyen Bui et al.
  1.94
• PSP: Harnessing Position and Shape Priors for Cross-Domain Few-Shot Medical Image Segmentation (2026)
  Bin Xu et al.
  1.94
• Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks (2026)
  Guilherme Cruz et al.
  1.89
• Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis (2026)
  Kartikay Tehlan et al.
  1.83
• MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction (2026)
  Seunghoi Kim et al.
  1.78
• HGP-Mamba: Integrating Histology and Generated Protein Features for Mamba-based Multimodal Survival Risk Prediction (2026)
  Jing Dai et al.
  1.78
• Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts (2026)
  Bahram Mohammadi et al.
  1.78
• Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology (2026)
  Minghao Han et al.
  1.72
• Atlas 2 -- Foundation models for clinical deployment (2026)
  Maximilian Alber et al.
  1.67
• The pretraining domain outweighs the training objective in setting the privacy-utility trade-off of differentially private medical image analysis (2026)
  Soroosh Tayebi Arasteh et al.
  1.67
• Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction (2025)
  Niklas Bubeck et al.
  1.39
• CARE: Anti-entanglement Ultrasound Image Segmentation via Channel-Aware Region Extrication (2025)
  Weixin Xu et al.
  1.39
• Scalable And Loosely-coupled Multimodal Deep Learning For Breast Cancer Subtyping (2025)
  Mohammed Amer, Mohamed A. Suliman, Tu Bui, et al.
  1.28
• Imputmae: Multi-modal Transformer With Masked Pre-training For Missing Modalities Imputation In Cancer Survival Prediction (2025)
  Maria Boyko, Aleksandra Beliaeva, Dmitriy Kornilov, et al.
  1.28