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Medical Imaging

1931 directly classified papers

Papers per year

Papers

FourierNets enable the design of highly non-local optical encoders for computational imaging NIPS 2022
HUMUS-Net: Hybrid Unrolled Multi-scale Network Architecture for Accelerated MRI Reconstruction NIPS 2022
Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors NIPS 2022
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers NIPS 2022
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology NIPS 2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning NIPS 2022
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation NIPS 2022
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks NIPS 2022
Class-Aware Adversarial Transformers for Medical Image Segmentation NIPS 2022
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice NIPS 2022
TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces MIDL 2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging MIDL 2022
Domain Generalization for Retinal Vessel Segmentation with Vector Field Transformer MIDL 2022
Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers MIDL 2022
Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRI MIDL 2022
PILLET-GAN: Pixel-Level Lesion Traversal Generative Adversarial Network for Pneumonia Localization MIDL 2022
Confidence Histograms for Model Reliability Analysis and Temperature Calibration MIDL 2022
Vision Transformers Enable Fast and Robust Accelerated MRI MIDL 2022
Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation MIDL 2022
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer MIDL 2022
MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers MIDL 2022
Are 2.5D approaches superior to 3D deep networks in whole brain segmentation? MIDL 2022
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? MIDL 2022
YAMU: Yet Another Modified U-Net Architecture for Semantic Segmentation MIDL 2022
Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions MIDL 2022