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Medical Image Analysis

Papers

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Showing 351–400 of 1360 papers

TitleStatusHype
Regularizing CNNs using Confusion Penalty Based Label Smoothing for Histopathology Images—0
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography AnalysisCode1
Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound ImagesCode0
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRICode0
FluoroSAM: A Language-aligned Foundation Model for X-ray Image SegmentationCode1
When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis—0
In-context learning enables multimodal large language models to classify cancer pathology images—0
Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules—0
Hair and scalp disease detection using deep learning—0
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation—0
Synthetic Privileged Information Enhances Medical Image Representation Learning—0
Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification—0
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder—0
ACC-ViT : Atrous Convolution's Comeback in Vision Transformers—0
DINOv2 based Self Supervised Learning For Few Shot Medical Image SegmentationCode1
Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scansCode0
When do Convolutional Neural Networks Stop Learning?Code0
Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images?—0
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration—0
VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image AnalysisCode3
MedContext: Learning Contextual Cues for Efficient Volumetric Medical SegmentationCode1
Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive LearningCode0
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image SegmentationCode0
exploreCOSMOS: Interactive Exploration of Conditional Statistical Shape Models in the Web-BrowserCode0
An advanced data fabric architecture leveraging homomorphic encryption and federated learning—0
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image AnalysisCode0
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging ClassificationCode0
Expert-Adaptive Medical Image Segmentation—0
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationCode4
A Survey on Domain Generalization for Medical Image AnalysisCode2
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingCode3
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation—0
Second Order Kinematic Surface Fitting in Anatomical Structures—0
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological imagesCode0
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable RegistrationCode2
EndoGaussians: Single View Dynamic Gaussian Splatting for Deformable Endoscopic Tissues Reconstruction—0
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey—0
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement—0
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model—0
M3BUNet: Mobile Mean Max UNet for Pancreas Segmentation on CT-Scans—0
Slicer Networks—0
MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic EncryptionCode0
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept AlignmentCode1
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models—0
Segment Anything Model for Medical Image Segmentation: Current Applications and Future DirectionsCode5
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced ModalitiesCode0
Prompt-driven Latent Domain Generalization for Medical Image ClassificationCode1
Detection and Classification of Diabetic Retinopathy using Deep Learning Algorithms for Segmentation to Facilitate Referral Recommendation for Test and Treatment PredictionCode1
DDPM based X-ray Image Synthesizer—0
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