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Medical Imaging

1,462 papers

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Papers

A Loopback Network for Explainable Microvascular Invasion Classification CVPR 2023 AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification AAAI 2023 Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis ICCV 2023 A Self-training Framework for Automated Medical Report Generation EMNLP 2023 AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework for Asthma Classification Using Lung Sounds Interspeech 2023 Automatic Segmentation of Aortic and Mitral Valves for Heart Surgical Planning of Hypertrophic Obstructive Cardiomyopathy ACML 2023 Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data CVPR 2023 Bi-Directional Feature Fusion Generative Adversarial Network for Ultra-High Resolution Pathological Image Virtual Re-Staining CVPR 2023 Boosting Radiology Report Generation by Infusing Comparison Prior ACL 2023 Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification ICCV 2023 Causal Recurrent Variational Autoencoder for Medical Time Series Generation AAAI 2023 CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation AAAI 2023 CellTranspose: Few-Shot Domain Adaptation for Cellular Instance Segmentation WACV 2023 Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking CVPR 2023 Controllable Chest X-Ray Report Generation from Longitudinal Representations EMNLP 2023 Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation NeurIPS 2023 Cross-Modal Conceptualization in Bottleneck Models EMNLP 2023 DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations WACV 2023 DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models ICLR 2023 Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains CVPR 2023 Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization CVPR 2023 Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains Interspeech 2023 DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation CVPR 2023 DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective CVPR 2023 Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation CVPR 2023