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Medical Image Analysis

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Showing 1201–1250 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
Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation—0
Hydranet: Data Augmentation for Regression Neural Networks—0
ICADx: Interpretable computer aided diagnosis of breast masses—0
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators—0
Image To Tree with Recursive Prompting—0
iMedImage Technical Report—0
IMIL: Interactive Medical Image Learning Framework—0
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning—0
Diffeomorphic Image Registration with Neural Velocity Field—0
Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism—0
Improved Unet model for brain tumor image segmentation based on ASPP-coordinate attention mechanism—0
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients—0
Improving Breast Cancer Detection using Symmetry Information with Deep Learning—0
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT—0
Improving cognitive diagnostics in pathology: a deep learning approach for augmenting perceptional understanding of histopathology images—0
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation—0
Improving Object Detection in Medical Image Analysis through Multiple Expert Annotators: An Empirical Investigation—0
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation—0
Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules—0
In-context learning enables multimodal large language models to classify cancer pathology images—0
Incorporating prior knowledge in medical image segmentation: a survey—0
Indexing Medical Images based on Collaborative Experts Reports—0
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning—0
InfoMask: Masked Variational Latent Representation to Localize Chest Disease—0
Information Gain Sampling for Active Learning in Medical Image Classification—0
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