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Medical Image Analysis

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Showing 1201–1225 of 1360 papers

TitleStatusHype
Globally Optimal Surface Segmentation using Deep Learning with Learnable Smoothness Priors—0
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions—0
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis—0
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications—0
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction—0
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis—0
GroupMixer: Patch-based Group Convolutional Neural Network for Breast Cancer Detection from Histopathological Images—0
Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers—0
Hair and scalp disease detection using deep learning—0
HAISTA-NET: Human Assisted Instance Segmentation Through Attention—0
Head Pose Estimation and 3D Neural Surface Reconstruction via Monocular Camera in situ for Navigation and Safe Insertion into Natural Openings—0
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention—0
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization—0
Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images—0
High-confidence pseudo-labels for domain adaptation in COVID-19 detection—0
High Performance Computing in Medical Image Analysis HuSSaR—0
High Resolution Medical Image Analysis with Spatial Partitioning—0
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images—0
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation—0
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound—0
How Bad is Good enough: Noisy annotations for instrument pose estimation—0
How can we learn (more) from challenges? A statistical approach to driving future algorithm development—0
How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering?—0
How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis—0
Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization—0
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