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Medical Image Analysis

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Showing 751–800 of 1360 papers

TitleStatusHype
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions—0
OPTiML: Dense Semantic Invariance Using Optimal Transport for Self-Supervised Medical Image Representation—0
Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis—0
Out-of-distribution Detection in Medical Image Analysis: A survey—0
Parallel Medical Imaging for Intelligent Medical Image Analysis: Concepts, Methods, and Applications—0
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity—0
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation—0
Parametric Scaling of Preprocessing assisted U-net Architecture for Improvised Retinal Vessel Segmentation—0
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation—0
Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients—0
Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation—0
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators—0
Paying Per-label Attention for Multi-label Extraction from Radiology Reports—0
PDE-constrained optimization in medical image analysis—0
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications—0
PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models—0
Phase Collaborative Network for Two-Phase Medical Image Segmentation—0
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation—0
PL-Net: Progressive Learning Network for Medical Image Segmentation—0
Point Cloud Upsampling as Statistical Shape Model for Pelvic—0
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems—0
Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models—0
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning—0
Practical Applications of Advanced Cloud Services and Generative AI Systems in Medical Image Analysis—0
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics—0
Prediction of Pneumonia and COVID-19 Using Deep Neural Networks—0
Prediction of severity and treatment outcome for ASD from fMRI—0
Prediction of treatment outcome for autism from structure of the brain based on sure independence screening—0
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis—0
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training—0
Principled Ultrasound Data Augmentation for Classification of Standard Planes—0
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers—0
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images—0
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy—0
Privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications—0
Privacy-preserving medical image analysis—0
Private, Efficient and Scalable Kernel Learning for Medical Image Analysis—0
Probabilistic 3D surface reconstruction from sparse MRI information—0
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation—0
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks—0
Quality-aware semi-supervised learning for CMR segmentation—0
Radiomics-guided Multimodal Self-attention Network for Predicting Pathological Complete Response in Breast MRI—0
Random Token Fusion for Multi-View Medical Diagnosis—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
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization—0
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease—0
Recent advances and clinical applications of deep learning in medical image analysis—0
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection—0
Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Network—0
Recurrent neural networks for aortic image sequence segmentation with sparse annotations—0
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