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Medical Image Analysis

Papers

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Showing 751–800 of 1360 papers

TitleStatusHype
Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI SegmentationCode1
CASS: Cross Architectural Self-Supervision for Medical Image AnalysisCode1
One Hyper-Initializer for All Network Architectures in Medical Image Analysis—0
Medical Image Registration via Neural Fields—0
Utility of Equivariant Message Passing in Cortical Mesh SegmentationCode0
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical ImagesCode0
Metrics reloaded: Recommendations for image analysis validationCode1
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
The Fully Convolutional Transformer for Medical Image SegmentationCode1
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Code1
Beyond Labels: Visual Representations for Bone Marrow Cell Morphology RecognitionCode0
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical ImagingCode1
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
Symmetric Transformer-based Network for Unsupervised Image RegistrationCode1
Masked Image Modeling Advances 3D Medical Image Analysis—0
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation—0
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image AnalysisCode1
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
Follow My Eye: Using Gaze to Supervise Computer-Aided DiagnosisCode1
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers—0
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image SegmentationCode3
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
MFSNet: A Multi Focus Segmentation Network for Skin Lesion SegmentationCode1
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
Point-Unet: A Context-aware Point-based Neural Network for Volumetric SegmentationCode1
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation—0
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification—0
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective FunctionsCode1
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
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRICode1
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationCode1
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
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