Cover Image

ClinNet: Evidential Ordinal Regression with Bilateral Asymmetry and Prototype Memory for Knee Osteoarthritis Grading

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xiaoyang, Zhou, Runni
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AGE-Net: Spectral--Spatial Fusion and Anatomical Graph Reasoning with Evidential Ordinal Regression for Knee Osteoarthritis Grading
by: Li, Xiaoyang, et al.
Published: (2026)

Knee-xRAI: An Explainable AI Framework for Automatic Kellgren-Lawrence Grading of Knee Osteoarthritis
by: Irfan, Azmul A., et al.
Published: (2026)

VL-OrdinalFormer: Vision Language Guided Ordinal Transformers for Interpretable Knee Osteoarthritis Grading
by: Ullah, Zahid, et al.
Published: (2025)

Stacked Ensemble of Fine-Tuned CNNs for Knee Osteoarthritis Severity Grading
by: Gupta, Adarsh, et al.
Published: (2025)

Robust Diabetic Retinopathy Grading Using Dual-Resolution Attention-Based Deep Learning with Ordinal Regression
by: Hashmi, Afshan
Published: (2026)

DOR3D-Net: Dense Ordinal Regression Network for 3D Hand Pose Estimation
by: Mao, Yamin, et al.
Published: (2024)

EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
by: He, Yuanpeng
Published: (2024)

An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data
by: Belton, Niamh, et al.
Published: (2024)

Probabilistic Dating of Historical Manuscripts via Evidential Deep Regression on Visual Script Features
by: Chodavarapu, Ranjith
Published: (2026)

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

ClinCoT: Clinical-Aware Visual Chain-of-Thought for Medical Vision Language Models
by: Liu, Xiwei, et al.
Published: (2026)

Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes
by: Sinhamahapatra, Poulami, et al.
Published: (2024)

Enhancing Knee Osteoarthritis severity level classification using diffusion augmented images
by: Chowdary, Paleti Nikhil, et al.
Published: (2023)

FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization
by: Yu, Xiaoyang, et al.
Published: (2025)

Uncertainty-Aware Wildfire Smoke Density Classification from Satellite Imagery via CBAM-Augmented EfficientNet with Evidential Deep Learning
by: Chodavarapu, Ranjith
Published: (2026)

Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2024)

Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding
by: Ma, Kaijing, et al.
Published: (2024)

ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]
by: Ayoobi, Hamed, et al.
Published: (2023)

When Thinking Drifts: Evidential Grounding for Robust Video Reasoning
by: Luo, Mi, et al.
Published: (2025)

GPF-Net: Gated Progressive Fusion Learning for Polyp Re-Identification
by: Xiang, Suncheng, et al.
Published: (2025)

Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
by: Di, Kexin, et al.
Published: (2025)

Ordinal Semantic Segmentation Applied to Medical and Odontological Images
by: Lima, Mariana Dória Prata, et al.
Published: (2026)

Exploring Ordinal Bias in Action Recognition for Instructional Videos
by: Kim, Joochan, et al.
Published: (2025)

Evidential Neural Radiance Fields
by: Duan, Ruxiao, et al.
Published: (2026)

Evidential Reasoning Advances Interpretable Real-World Disease Screening
by: Lian, Chenyu, et al.
Published: (2026)

Evidential Graph Contrastive Alignment for Source-Free Blending-Target Domain Adaptation
by: Zheng, Juepeng, et al.
Published: (2024)

Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization
by: He, Yuanpeng, et al.
Published: (2024)

UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression
by: Wang, Jia, et al.
Published: (2025)

Transforming Precision: A Comparative Analysis of Vision Transformers, CNNs, and Traditional ML for Knee Osteoarthritis Severity Diagnosis
by: Apon, Tasnim Sakib, et al.
Published: (2024)

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
by: Yu, Qinkai, et al.
Published: (2025)

Emory Knee Radiograph (MRKR) Dataset
by: Price, Brandon, et al.
Published: (2024)

Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels
by: Moghaddam, Alireza Sedighi, et al.
Published: (2025)

Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction
by: Jain, Riddhi, et al.
Published: (2025)

Voronoi-guided Bilateral 2D Gaussian Splatting for Arbitrary-Scale Hyperspectral Image Super-Resolution
by: Zhang, Jie, et al.
Published: (2026)

SketchGraphNet: A Memory-Efficient Hybrid Graph Transformer for Large-Scale Sketch Corpora Recognition
by: Chen, Shilong, et al.
Published: (2026)

Dr$^2$Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning
by: Zhao, Chen, et al.
Published: (2024)

Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
by: Li, Lijian
Published: (2024)

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

Deep Learning-based Alignment Measurement in Knee Radiographs
by: Hu, Zhisen, et al.
Published: (2025)

Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving
by: Xiao, Lixing, et al.
Published: (2024)