Constrained multi-scale dense connections for biomedical image segmentation

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Cross-Domain Recommendation via Progressive Structural Alignment

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Exploiting Hierarchical Interactions for Protein Surface Learning

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Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge

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FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition

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High-fidelity reconstruction of large-area damaged turbulent fields with a physically constrained generative adversarial network

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Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints

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Video-based face outline recognition

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AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation

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C²RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction

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DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models

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Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations

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Holistic Autonomous Driving Understanding by Bird’s-Eye-View Injected Multi-Modal Large Models

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M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection

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Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis

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A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images

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Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation

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Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos

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Deep learning for predicting epidermal growth factor receptor mutations of non-small cell lung cancer on PET/CT images

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Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification

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Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation

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Exploring the Complexities of Dissolved Organic Matter Photochemistry from the Molecular Level by Using Machine Learning Approaches

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ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images

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Less is More: Surgical Phase Recognition from Timestamp Supervision

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The Liver Tumor Segmentation Benchmark (LiTS)

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Rare disease classification via difficulty-aware meta learning

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CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval

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CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No

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Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation

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DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation

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Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation

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Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification

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FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images

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Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images

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GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation

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GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation

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Improved understanding of photochemical processing of DOM using machine learning approaches

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Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

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Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping

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Radiomics-Informed Deep Learning for Classification of Atrial Fibrilation Sub-Types from Left-Atrium CT Volumes

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SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos

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Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation

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Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks

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Towards Distribution-Agnostic Generalized Category Discovery

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Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

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A two‐stage multiresolution neural network for automatic diagnosis of hepatic echinococcosis from ultrasound images: A multicenter study

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Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment

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CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration

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Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos

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Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis

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Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

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Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation

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Free Lunch for Surgical Video Understanding by Distilling Self-supervisions

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Learning Shadow Correspondence for Video Shadow Detection

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Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images

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RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

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Semi-supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels

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Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

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Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation

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A rapid screening classifier for diagnosing COVID-19

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Artificial intelligence in image-guided radiotherapy: A review of treatment target localization

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Deep learning-augmented radioluminescence imaging for radiotherapy dose verification

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Deep learning-augmented radiotherapy visualization with a cylindrical radioluminescence system

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Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images

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Global guidance network for breast lesion segmentation in ultrasound images

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Metal artifact reduction in 2D CT images with self-supervised cross-domain learning

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Rotation-Oriented Collaborative Self-supervised Learning for Retinal Disease Diagnosis

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Improved Heatmap-Based Landmark Detection

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Support-Set Based Cross-Supervision for Video Grounding

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CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

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Deep Sub-region Network for Salient Object Detection

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Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis

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Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation

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Difficulty-aware meta-learning for rare disease diagnosis

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Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

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Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

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3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images

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Feature-preserving ultrasound speckle reduction via L₀ minimization

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H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

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Deeply supervised rotation equivariant network for lesion segmentation in dermoscopy images

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Ultrasound speckle reduction via L₀ minimization

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Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation

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