medical image

XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images CVPR 2024 Zero-Shot Medical Image Segmentation Based on Sparse Prompt Using Finetuned SAM MIDL 2024 AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection ICLR 2023 Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback NeurIPS 2023 Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation ICLR 2023 Diffusion-based Visual Representation Learning for Medical Question Answering ACML 2023 Leveraging Old Knowledge to Continually Learn New Classes in Medical Images AAAI 2023 MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics ICCV 2023 Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation AAAI 2023 TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation CVPR 2023 ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations MIDL 2023 C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image CVPR 2022 Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning NeurIPS 2022 Reinforced Cross-modal Alignment for Radiology Report Generation ACL 2022 Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration AAAI 2022 Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations CVPR 2022 Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow CVPR 2022 Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images AAAI 2022 Weakly-Supervised Metric Learning With Cross-Module Communications for the Classification of Anterior Chamber Angle Images CVPR 2022 Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets MIDL 2021 Forecasting Irreversible Disease via Progression Learning CVPR 2021 Human Uncertainty Inference via Deterministic Ensemble Neural Networks AAAI 2021 Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms CVPR 2021 MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation MLHC 2021 Medical Image Segmentation using Squeeze-and-Expansion Transformers IJCAI 2021