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Medical Image Analysis

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Showing 701–750 of 1360 papers

TitleStatusHype
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation—0
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net—0
Deep reinforcement learning in medical imaging: A literature review—0
Deep Semantic Segmentation of Natural and Medical Images: A Review—0
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives—0
Deformable Gabor Feature Networks for Biomedical Image Classification—0
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration—0
Denoising Diffusion Medical Models—0
Dense Deformation Network for High Resolution Tissue Cleared Image Registration—0
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation—0
Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound—0
Detection and Classification of Glioblastoma Brain Tumor—0
Detection of curved lines with B-COSFIRE filters: A case study on crack delineation—0
Development of ICA and IVA Algorithms with Application to Medical Image Analysis—0
Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation—0
Fast Diffeomorphic Image Registration using Patch based Fully Convolutional Networks—0
Diffusion-Based Approaches in Medical Image Generation and Analysis—0
Diffusion Denoising for Low-Dose-CT Model—0
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification—0
Multi-scale Neural ODEs for 3D Medical Image Registration—0
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography—0
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis—0
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior—0
Multi-Task Cooperative Learning via Searching for Flat Minima—0
Multi-Task Deep Learning: Simultaneous Segmentation and Survival Analysis via Cox Proportional Hazards Regression—0
Multi-Texture GAN: Exploring the Multi-Scale Texture Translation for Brain MR Images—0
MUPAX: Multidimensional Problem Agnostic eXplainable AI—0
KLDivNet: An unsupervised neural network for multi-modality image registration—0
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images—0
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images—0
Navigating Distribution Shifts in Medical Image Analysis: A Survey—0
NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images—0
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation—0
Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization—0
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis—0
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2—0
OASIS: One-pass aligned Atlas Set for Image Segmentation—0
Object Detection for Automated Coronary Artery Using Deep Learning—0
Object Detection for Medical Image Analysis: Insights from the RT-DETR Model—0
One Hyper-Initializer for All Network Architectures in Medical Image Analysis—0
One Kernel to Solve Nearly Everything: Unified 3D Binary Convolutions for Image Analysis—0
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains—0
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis—0
On the Performance of Convolutional Neural Networks under High and Low Frequency Information—0
Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications—0
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms—0
Open World Object Detection in the Era of Foundation Models—0
Optimization with soft Dice can lead to a volumetric bias—0
Optimizing CNN Architectures for Advanced Thoracic Disease Classification—0
Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off—0
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