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Medical Imaging

1931 directly classified papers

Papers per year

Papers

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images NIPS 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 NIPS 2023
ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction NIPS 2023
Spatio-Angular Convolutions for Super-resolution in Diffusion MRI NIPS 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification NIPS 2023
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks NIPS 2023
Convolution Monge Mapping Normalization for learning on sleep data NIPS 2023
Data Consistent Deep Rigid MRI Motion Correction MIDL 2023
AI-Assisted Tool for Early Diagnosis and Prevention of Colorectal Cancer in Africa IJCAI 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation CVPR 2023
NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation NIPS 2023
Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation MIDL 2023
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model MIDL 2023
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification MIDL 2023
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract) AAAI 2023
SR-AnoGAN: You Never Detect Alone. Super Resolution in Anomaly Detection (Student Abstract) AAAI 2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis MIDL 2023
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation AAAI 2023
AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio AAAI 2023
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples AAAI 2023
Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation AAAI 2023
Reproducibility of the Methods in Medical Imaging with Deep Learning. MIDL 2023
Decoding natural image stimuli from fMRI data with a surface-based convolutional network MIDL 2023
SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs MIDL 2023
Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations MIDL 2023