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Medical Image Analysis

Papers

Showing 351375 of 1360 papers

TitleStatusHype
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image AnalysisCode0
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic VolumesCode0
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRICode0
Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement LearningCode0
Decomposition of Longitudinal Deformations via Beltrami DescriptorsCode0
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis InitiativeCode0
Inverse-Consistent Deep Networks for Unsupervised Deformable Image RegistrationCode0
Is Autoencoder Truly Applicable for 3D CT Super-Resolution?Code0
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image AugmentationCode0
Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural NetworksCode0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-NetCode0
Image Segmentation: Inducing graph-based learningCode0
Kvasir-SEG: A Segmented Polyp DatasetCode0
DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label GenerationCode0
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume MixingCode0
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) ImagesCode0
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernelsCode0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A SurveyCode0
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRICode0
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image SegmentationCode0
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological imagesCode0
How Good Are Synthetic Medical Images? An Empirical Study with Lung UltrasoundCode0
Histopathological Image Classification using Discriminative Feature-oriented Dictionary LearningCode0
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