medical imaging

RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models EMNLP 2024 SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images WACV 2024 SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology WACV 2024 See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning EMNLP 2024 Self-Supervised Edge Detection Reconstruction for Topology-Informed 3D Axon Segmentation and Centerline Detection WACV 2024 SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology CVPR 2024 Skip-GANomaly++: Skip Connections and Residual Blocks for Anomaly Detection (Student Abstract) AAAI 2024 Sm: enhanced localization in Multiple Instance Learning for medical imaging classification NeurIPS 2024 Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency ICLR 2024 Structure-Aware Sparse-View X-ray 3D Reconstruction CVPR 2024 SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation AAAI 2024 Targeted Activation Penalties Help CNNs Ignore Spurious Signals AAAI 2024 Task-Driven Wavelets using Constrained Empirical Risk Minimization CVPR 2024 TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis NAACL 2024 Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration AAAI 2024 The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images ICLR 2024 TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities AAAI 2024 TM-PATHVQA: 90000+ Textless Multilingual Questions for Medical Visual Question Answering Interspeech 2024 ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images CVPR 2024 Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning NeurIPS 2024 Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and Baseline CVPR 2024 Towards Generalizable Tumor Synthesis CVPR 2024 Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale EMNLP 2024 Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability AAAI 2024 TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability IJCAI 2024