Medical Imaging

H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration CVPR 2024 Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation MIDL 2024 I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses WACV 2024 ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation MIDL 2024 ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation EMNLP 2024 IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity AAAI 2024 IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration CVPR 2024 Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images ECCV 2024 Imbalance-aware loss functions improve medical image classification MIDL 2024 Implicit Modeling of Non-rigid Objects with Cross-Category Signals AAAI 2024 Implicit neural obfuscation for privacy preserving medical image sharing MIDL 2024 Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection Using Geometric Assessment-Driven Topological Smoothing (GATS) WACV 2024 Improving Transfer Learning by means of Ensemble Learning and Swarm Intelligence-based Neuroevolution AutoML 2024 Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation CVPR 2024 Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation CVPR 2024 Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies MIDL 2024 IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction WACV 2024 JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract) AAAI 2024 LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration WACV 2024 Learning Generalized Medical Image Segmentation from Decoupled Feature Queries AAAI 2024 Learning Quality Labels for Robust Image Classification WACV 2024 Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals NeurIPS 2024 Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach MIDL 2024 Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images NeurIPS 2024 Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models EACL 2024