Copertina

Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Fernandes, Leonor, Gonçalves, Tiago, Matos, João, Nakayama, Luis Filipe, Cardoso, Jaime S.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Classification of Keratitis from Eye Corneal Photographs using Deep Learning
di: Beirão, Maria Miguel, et al.
Pubblicazione: (2024)

Mitigating Shortcut Learning via Feature Disentanglement in Medical Imaging: A Benchmark Study
di: Müller, Sarah, et al.
Pubblicazione: (2026)

Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space
di: Pal, Shivam, et al.
Pubblicazione: (2025)

Disentangling Content from Style to Overcome Shortcut Learning: A Hybrid Generative-Discriminative Learning Framework
di: Fu, Siming, et al.
Pubblicazione: (2025)

Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging
di: Müller, Sarah, et al.
Pubblicazione: (2024)

On the Foundations of Shortcut Learning
di: Hermann, Katherine L., et al.
Pubblicazione: (2023)

Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?
di: Queiroz, Dilermando, et al.
Pubblicazione: (2024)

Shortcut Learning Susceptibility in Vision Classifiers
di: Suhail, Pirzada, et al.
Pubblicazione: (2025)

An Explainable Transformer Model for Alzheimer's Disease Detection Using Retinal Imaging
di: Jamshidiha, Saeed, et al.
Pubblicazione: (2025)

One Step Diffusion via Shortcut Models
di: Frans, Kevin, et al.
Pubblicazione: (2024)

Shortcut Learning in Medical Image Segmentation
di: Lin, Manxi, et al.
Pubblicazione: (2024)

Diabetic Retinopathy Classification from Retinal Images using Machine Learning Approaches
di: Bhattacharjee, Indronil, et al.
Pubblicazione: (2024)

Retinal Disease Classification from Fundus Images using CNN Transfer Learning
di: Akram, Ali
Pubblicazione: (2026)

Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers
di: Kuhn, Lukas, et al.
Pubblicazione: (2025)

An XAI-based Analysis of Shortcut Learning in Neural Networks
di: Le, Phuong Quynh, et al.
Pubblicazione: (2025)

Disentangling Mean Embeddings for Better Diagnostics of Image Generators
di: Gruber, Sebastian G., et al.
Pubblicazione: (2024)

A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention
di: Nunes, João D., et al.
Pubblicazione: (2024)

On the Design of One-step Diffusion via Shortcutting Flow Paths
di: Lin, Haitao, et al.
Pubblicazione: (2025)

HOG-CNN: Integrating Histogram of Oriented Gradients with Convolutional Neural Networks for Retinal Image Classification
di: Ahmed, Faisal
Pubblicazione: (2025)

Early Alzheimer's Disease Detection from Retinal OCT Images: A UK Biobank Study
di: Turkan, Yasemin, et al.
Pubblicazione: (2025)

A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis
di: Wu, Yuli, et al.
Pubblicazione: (2025)

Self-Supervised Learning Featuring Small-Scale Image Dataset for Treatable Retinal Diseases Classification
di: Huang, Luffina C., et al.
Pubblicazione: (2024)

Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging
di: Wang, Jiacheng, et al.
Pubblicazione: (2024)

ClearGCD: Mitigating Shortcut Learning For Robust Generalized Category Discovery
di: Lyu, Kailin, et al.
Pubblicazione: (2025)

Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning
di: Dolatabadi, Hadi M., et al.
Pubblicazione: (2024)

Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse
di: Wang, Yining, et al.
Pubblicazione: (2024)

Quantitative Characterization of Retinal Features in Translated OCTA
di: Badhon, Rashadul Hasan, et al.
Pubblicazione: (2024)

Semimage: HSV-Based Semantic Image Encoding for Disentangled Text Representation
di: Zare, Mohammad
Pubblicazione: (2025)

Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement
di: Wang, Ziyu, et al.
Pubblicazione: (2023)

Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
di: Cai, Xu, et al.
Pubblicazione: (2025)

Diagnosing Shortcut-Induced Rigidity in Continual Learning: The Einstellung Rigidity Index (ERI)
di: Gu, Kai, et al.
Pubblicazione: (2025)

MULTI: Disentangling Camera Lens, Sensor, View, and Domain for Novel Image Generation
di: Godavarthy, Sonali, et al.
Pubblicazione: (2026)

You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
di: Dou, Hongkun, et al.
Pubblicazione: (2025)

ODE$_t$(ODE$_l$): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling
di: Gudovskiy, Denis, et al.
Pubblicazione: (2025)

Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment
di: Jia, Haozhe, et al.
Pubblicazione: (2026)

Symbolic Disentangled Representations for Images
di: Korchemnyi, Alexandr, et al.
Pubblicazione: (2024)

M3T: Multi-Modal Medical Transformer to bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation
di: Shaik, Nagur Shareef, et al.
Pubblicazione: (2024)

A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs
di: Krojer, Benno, et al.
Pubblicazione: (2025)

oculomix: Hierarchical Sampling for Retinal-Based Systemic Disease Prediction
di: Kim, Hyunmin, et al.
Pubblicazione: (2026)

Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks
di: Wu, Yuli, et al.
Pubblicazione: (2024)