Cover Image

Morphology-Aware KOA Classification: Integrating Graph Priors with Vision Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tliba, Marouane, Kerkouri, Mohamed Amine, Nasser, Yassine, Aburaed, Nour, Chetouani, Aladine, Bagci, Ulas, Jennane, Rachid
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling Beyond MOS: Quality Assessment Models Must Integrate Context, Reasoning, and Multimodality
by: Kerkouri, Mohamed Amine, et al.
Published: (2025)

Shifting Focus: From Global Semantics to Local Prominent Features in Swin-Transformer for Knee Osteoarthritis Severity Assessment
by: Sekhri, Aymen, et al.
Published: (2024)

What They Saw, Not Just Where They Looked: Semantic Scanpath Similarity via VLMs and NLP metric
by: Kerkouri, Mohamed Amine, et al.
Published: (2026)

Quantization Effects on Neural Networks Perception: How would quantization change the perceptual field of vision models?
by: Kerkouri, Mohamed Amine, et al.
Published: (2024)

SPGen: Stochastic scanpath generation for paintings using unsupervised domain adaptation
by: Kerkouri, Mohamed Amine, et al.
Published: (2026)

Feasibility study for reconstruction of knee MRI from one corresponding X-ray via CNN
by: Wang, Zhe, et al.
Published: (2025)

CT-DegradBench: A Physics-Informed Benchmark for CT Degradation Detection and Severity Estimation
by: Taifour, Yousra Nabila, et al.
Published: (2026)

Transformer with Selective Shuffled Position Embedding and Key-Patch Exchange Strategy for Early Detection of Knee Osteoarthritis
by: Wang, Zhe, et al.
Published: (2023)

Temporal Evolution of Knee Osteoarthritis: A Diffusion-based Morphing Model for X-ray Medical Image Synthesis
by: Wang, Zhe, et al.
Published: (2024)

Feasibility Study of a Diffusion-Based Model for Cross-Modal Generation of Knee MRI from X-ray: Integrating Radiographic Feature Information
by: Wang, Zhe, et al.
Published: (2024)

Distillation-Driven Diffusion Model for Multi-Scale MRI Super-Resolution: Make 1.5T MRI Great Again
by: Wang, Zhe, et al.
Published: (2025)

Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis
by: Wang, Zhe, et al.
Published: (2023)

MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-Resolution
by: Wang, Zhe, et al.
Published: (2025)

Combining Transformers and CNNs for Efficient Object Detection in High-Resolution Satellite Imagery
by: Drapier, Nicolas, et al.
Published: (2025)

Key-Exchange Convolutional Auto-Encoder for Data Augmentation in Early Knee Osteoarthritis Detection
by: Wang, Zhe, et al.
Published: (2023)

Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images
by: Wong, David C, et al.
Published: (2025)

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading
by: Wang, Zhe, et al.
Published: (2025)

Applications of Knowledge Distillation in Remote Sensing: A Survey
by: Himeur, Yassine, et al.
Published: (2024)

Segmentation Quality and Volumetric Accuracy in Medical Imaging
by: Zhang, Zheyuan, et al.
Published: (2024)

Deformable Capsules for Object Detection
by: Lalonde, Rodney, et al.
Published: (2021)

WFM: 3D Wavelet Flow Matching for Ultrafast Multi-Modal MRI Synthesis
by: Tur, Yalcin, et al.
Published: (2026)

ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis
by: Susladkar, Onkar, et al.
Published: (2025)

VP-Hype: A Hybrid Mamba-Transformer Framework with Visual-Textual Prompting for Hyperspectral Image Classification
by: Sellam, Abdellah Zakaria, et al.
Published: (2026)

SDF2Net: Shallow to Deep Feature Fusion Network for PolSAR Image Classification
by: Alkhatib, Mohammed Q., et al.
Published: (2024)

GazeVaLM: A Multi-Observer Eye-Tracking Benchmark for Evaluating Clinical Realism in AI-Generated X-Rays
by: Wong, David, et al.
Published: (2026)

Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging
by: Wong, David, et al.
Published: (2025)

Robust White Blood Cell Classification with Stain-Normalized Decoupled Learning and Ensembling
by: Le, Luu, et al.
Published: (2026)

Improved Segmentation of Polyps and Visual Explainability Analysis
by: Asare, Akwasi, et al.
Published: (2025)

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
by: Isler, Ilkin Sevgi, et al.
Published: (2025)

Evidential Federated Learning for Skin Lesion Image Classification
by: Hendrix, Rutger, et al.
Published: (2024)

Discrete Cosine Transform Based Decorrelated Attention for Vision Transformers
by: Pan, Hongyi, et al.
Published: (2024)

Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model
by: Subedi, Aliza, et al.
Published: (2024)

MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
by: Zafari, Yalda, et al.
Published: (2025)

Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp Classification
by: Sharma, Vanshali, et al.
Published: (2025)

CLIP-KOA: Enhancing Knee Osteoarthritis Diagnosis with Multi-Modal Learning and Symmetry-Aware Loss Functions
by: Jeong, Yejin, et al.
Published: (2025)

GMAT: Grounded Multi-Agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification
by: Quang, Ngoc Bui Lam, et al.
Published: (2025)

CTest-Metric: A Unified Framework to Assess Clinical Validity of Metrics for CT Report Generation
by: Sharma, Vanshali, et al.
Published: (2026)

Toward Semantic-Agnostic and Shape-Aware Vision-Language Segmentation Models
by: Seutin, Corentin, et al.
Published: (2026)

Knowledge Distillation Approach for SOS Fusion Staging: Towards Fully Automated Skeletal Maturity Assessment
by: Milani, Omid Halimi, et al.
Published: (2025)

EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
by: Boudouri, Yassine El, et al.
Published: (2025)