Medical Imaging

ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation EMNLP 2024 Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging ECCV 2024 IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration CVPR 2024 Image Denoising and the Generative Accumulation of Photons WACV 2024 Implicit Modeling of Non-rigid Objects with Cross-Category Signals AAAI 2024 Implicit Neural Models to Extract Heart Rate from Video ECCV 2024 Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios MIDL 2024 Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy AAAI 2024 Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation CVPR 2024 Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation NeurIPS 2024 Intersection of Artificial Intelligence and Medical Education (Student Abstract) AAAI 2024 Investigation of Layer-Wise Speech Representations in Self-Supervised Learning Models: A Cross-Lingual Study in Detecting Depression Interspeech 2024 IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction WACV 2024 Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms CVPR 2024 Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps ECCV 2024 Learning a Spiking Neural Network for Efficient Image Deraining IJCAI 2024 Learning from Synthetic Human Group Activities CVPR 2024 Learning Generalized Medical Image Segmentation from Decoupled Feature Queries AAAI 2024 Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems NeurIPS 2024 Learning Large-Factor EM Image Super-Resolution with Generative Priors CVPR 2024 Learning Low-Rank Feature for Thorax Disease Classification NeurIPS 2024 Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing AAAI 2024 Learning to Approximate Adaptive Kernel Convolution on Graphs AAAI 2024 Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals NeurIPS 2024 Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images NeurIPS 2024