Medical Imaging

Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset CVPR 2023 Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering AAAI 2023 Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation NeurIPS 2023 KGVL-BART: Knowledge Graph Augmented Visual Language BART for Radiology Report Generation EACL 2023 KiUT: Knowledge-Injected U-Transformer for Radiology Report Generation CVPR 2023 Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses NeurIPS 2023 Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors MIDL 2023 KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization ACL 2023 Label-Free Liver Tumor Segmentation CVPR 2023 Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations MIDL 2023 Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation ICCV 2023 Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos AAAI 2023 Learning to Compare Longitudinal Images MIDL 2023 Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing CVPR 2023 Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting CVPR 2023 Leveraging Old Knowledge to Continually Learn New Classes in Medical Images AAAI 2023 LightDepth: Single-View Depth Self-Supervision from Illumination Decline ICCV 2023 LIMITR: Leveraging Local Information for Medical Image-Text Representation ICCV 2023 LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image ICCV 2023 Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration NeurIPS 2023 LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching NeurIPS 2023 M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities AAAI 2023 MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition CVPR 2023 MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery CVPR 2023 Masked Image Modeling Advances 3D Medical Image Analysis WACV 2023