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Medical Image Analysis

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Showing 1251–1300 of 1360 papers

TitleStatusHype
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis—0
Intelligent Multi-channel Meta-imagers for Accelerating Machine Vision—0
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation—0
Intrinsic Bias Identification on Medical Image Datasets—0
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets—0
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review—0
Invariant Scattering Transform for Medical Imaging—0
Invariant Scattering Transform for Medical Imaging—0
Investigating certain choices of CNN configurations for brain lesion segmentation—0
IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation—0
Is attention all you need in medical image analysis? A review—0
Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images?—0
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer—0
JOSA: Joint surface-based registration and atlas construction of brain geometry and function—0
KA^2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation—0
Keeping Representation Similarity in Finetuning for Medical Image Analysis—0
Kernel Self-Attention in Deep Multiple Instance Learning—0
Known Operator Learning and Hybrid Machine Learning in Medical Imaging --- A Review of the Past, the Present, and the Future—0
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions—0
Label Stability in Multiple Instance Learning—0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments—0
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation—0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms—0
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning—0
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students—0
Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images—0
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients—0
Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading—0
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography—0
Learning Image Labels On-the-fly for Training Robust Classification Models—0
Learning Nuclei Representations with Masked Image Modelling—0
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation—0
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation—0
Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction—0
Learning to Segment Anatomical Structures Accurately from One Exemplar—0
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs—0
Learning under Distributed Weak Supervision—0
Left Ventricle Segmentation in Cardiac MR Images Using Fully Convolutional Network—0
LesionPaste: One-Shot Anomaly Detection for Medical Images—0
Less is More: Unsupervised Mask-guided Annotated CT Image Synthesis with Minimum Manual Segmentations—0
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data—0
Leveraging object detection for the identification of lung cancer—0
Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection—0
Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI—0
LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration—0
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities—0
Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods—0
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset—0
M2ANET: Mobile Malaria Attention Network for efficient classification of plasmodium parasites in blood cells—0
M3BUNet: Mobile Mean Max UNet for Pancreas Segmentation on CT-Scans—0
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