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Medical Image Analysis

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Showing 1001–1050 of 1360 papers

TitleStatusHype
Computer Vision for Supporting Image Search—0
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis—0
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor—0
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models—0
Confident Coreset for Active Learning in Medical Image Analysis—0
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures—0
Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis—0
Context Aware 3D UNet for Brain Tumor Segmentation—0
Continual Domain Incremental Learning for Privacy-aware Digital Pathology—0
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects—0
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis—0
ConvNet-Based Localization of Anatomical Structures in 3D Medical Images—0
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?—0
Domain specific cues improve robustness of deep learning based segmentation of ct volumes—0
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models—0
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets—0
COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images—0
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation—0
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation—0
Cross-Task Representation Learning for Anatomical Landmark Detection—0
Crowd disagreement about medical images is informative—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction—0
CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis—0
CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration—0
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis—0
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers—0
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation—0
Data efficient deep learning for medical image analysis: A survey—0
Dataset Distillation in Medical Imaging: A Feasibility Study—0
DATR: Domain-adaptive transformer for multi-domain landmark detection—0
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation—0
DCSNet: A Lightweight Knowledge Distillation-Based Model with Explainable AI for Lung Cancer Diagnosis from Histopathological Images—0
DCT-HistoTransformer: Efficient Lightweight Vision Transformer with DCT Integration for histopathological image analysis—0
DDPM based X-ray Image Synthesizer—0
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition—0
Deep Conditional Shape Models for 3D cardiac image segmentation—0
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review—0
Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net—0
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation—0
DeepDyve: Dynamic Verification for Deep Neural Networks—0
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation—0
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer—0
Deep generative model-driven multimodal prostate segmentation in radiotherapy—0
Deep Generative Models for 3D Medical Image Synthesis—0
Deep image mining for diabetic retinopathy screening—0
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy—0
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification—0
Deep Learning applications for COVID-19—0
Deep Learning Applications in Medical Image Analysis: Advancements, Challenges, and Future Directions—0
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