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Medical Image Analysis

Papers

Showing 776800 of 1360 papers

TitleStatusHype
Uncertainty-Aware Multiple-Instance Learning for Reliable Classification: Application to Optical Coherence Tomography0
Diffusion Denoising for Low-Dose-CT Model0
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph0
Is Autoencoder Truly Applicable for 3D CT Super-Resolution?Code0
Position Regression for Unsupervised Anomaly DetectionCode0
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset0
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior0
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis0
Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset0
COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images0
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal RepresentationsCode0
A Loopback Network for Explainable Microvascular Invasion Classification0
Image To Tree with Recursive Prompting0
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology ImagesCode0
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models0
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment0
Shape Aware Automatic Region-of-Interest Subdivisions0
Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm0
3D Inception-Based TransMorph: Pre- and Post-operative Multi-contrast MRI Registration in Brain Tumors0
A Trustworthy Framework for Medical Image Analysis with Deep Learning0
Brain Tumor Synthetic Data Generation with Adaptive StyleGANsCode0
Investigating certain choices of CNN configurations for brain lesion segmentation0
SimpleMind adds thinking to deep neural networksCode0
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis InitiativeCode0
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy ImagesCode0
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