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Medical Image Analysis

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Showing 851–900 of 1360 papers

TitleStatusHype
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation—0
Brain MRI study for glioma segmentation using convolutional neural networks and original post-processing techniques with low computational demand—0
Tutorial on the development of AI models for medical image analysis—0
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets—0
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer—0
Fine-grained Correlation Loss for Regression—0
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions—0
SearchMorph:Multi-scale Correlation Iterative Network for Deformable Registration—0
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification—0
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency—0
Attention-based Dynamic Subspace Learners for Medical Image Analysis—0
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images—0
A Review of Causality for Learning Algorithms in Medical Image Analysis—0
One Hyper-Initializer for All Network Architectures in Medical Image Analysis—0
Utility of Equivariant Message Passing in Cortical Mesh SegmentationCode0
Medical Image Registration via Neural Fields—0
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical ImagesCode0
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical ImagingCode0
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection—0
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling—0
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image AnalysisCode0
Beyond Labels: Visual Representations for Bone Marrow Cell Morphology RecognitionCode0
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training—0
Can collaborative learning be private, robust and scalable?—0
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning—0
Masked Image Modeling Advances 3D Medical Image Analysis—0
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation—0
Multi-organ Segmentation Network with Adversarial Performance Validator—0
Rapid model transfer for medical image segmentation via iterative human-in-the-loop update: from labelled public to unlabelled clinical datasets for multi-organ segmentation in CT—0
CD^2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning—0
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers—0
Automatic Classification of Alzheimer's Disease using brain MRI data and deep Convolutional Neural Networks—0
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection—0
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation—0
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image AnalysisCode0
Intrinsic Bias Identification on Medical Image Datasets—0
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward—0
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image AnalysisCode0
Parametric Scaling of Preprocessing assisted U-net Architecture for Improvised Retinal Vessel Segmentation—0
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation—0
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification—0
DATR: Domain-adaptive transformer for multi-domain landmark detection—0
LesionPaste: One-Shot Anomaly Detection for Medical Images—0
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond—0
Unsupervised Image Registration Towards Enhancing Performance and Explainability in Cardiac And Brain Image Analysis—0
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis—0
MixCL: Pixel label matters to contrastive learning—0
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning—0
BlazeNeo: Blazing fast polyp segmentation and neoplasm detectionCode0
Texture Characterization of Histopathologic Images Using Ecological Diversity Measures and Discrete Wavelet Transform—0
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