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Medical Image Analysis

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Showing 651–700 of 1360 papers

TitleStatusHype
Multi-Task Cooperative Learning via Searching for Flat Minima—0
A Systematic Review of Few-Shot Learning in Medical Imaging—0
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports—0
Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection—0
How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis—0
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative SubspacesCode0
Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis—0
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic FeaturesCode0
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation—0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
Efficient Annotation for Medical Image Analysis: A One-Pass Selective Annotation Approach—0
IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation—0
DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images—0
Prediction of Pneumonia and COVID-19 Using Deep Neural Networks—0
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks—0
The Performance of Transferability Metrics does not Translate to Medical TasksCode0
Classification of White Blood Cells Using Machine and Deep Learning Models: A Systematic Review—0
From CNN to Transformer: A Review of Medical Image Segmentation Models—0
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization—0
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation—0
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models—0
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs—0
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation—0
Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomaliesCode0
DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification—0
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN—0
Cross-dimensional transfer learning in medical image segmentation with deep learningCode0
Multi-layer Aggregation as a key to feature-based OOD detectionCode0
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative NormalizationCode0
CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasetsCode0
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation—0
Is attention all you need in medical image analysis? A review—0
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review—0
Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion—0
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification—0
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation—0
A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading—0
DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image AnalysisCode0
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-NetCode0
Challenge Results Are Not Reproducible—0
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation—0
Invariant Scattering Transform for Medical Imaging—0
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis—0
Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI—0
Efficient Subclass Segmentation in Medical ImagesCode0
Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep LearningCode0
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification—0
Learning Nuclei Representations with Masked Image Modelling—0
NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images—0
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