Is Hyperbolic Space All You Need for Medical Anomaly Detection?
Fuente:
arXiv
Saved in:
| Main Authors: | Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Amruthalingam, Ludovic, Gottfrois, Philippe, Gröger, Fabian, Pouly, Marc, Navarini, Alexander A. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hyperbolic Metric Learning for Visual Outlier Detection
by: Gonzalez-Jimenez, Alvaro, et al.
Published: (2024)
by: Gonzalez-Jimenez, Alvaro, et al.
Published: (2024)
Clinical Uncertainty Impacts Machine Learning Evaluations
by: Lionetti, Simone, et al.
Published: (2025)
by: Lionetti, Simone, et al.
Published: (2025)
Intrinsic Self-Supervision for Data Quality Audits
by: Gröger, Fabian, et al.
Published: (2023)
by: Gröger, Fabian, et al.
Published: (2023)
Towards Scalable Foundation Models for Digital Dermatology
by: Gröger, Fabian, et al.
Published: (2024)
by: Gröger, Fabian, et al.
Published: (2024)
A Global Atlas of Digital Dermatology to Map Innovation and Disparities
by: Gröger, Fabian, et al.
Published: (2025)
by: Gröger, Fabian, et al.
Published: (2025)
CleanPatrick: A Benchmark for Image Data Cleaning
by: Gröger, Fabian, et al.
Published: (2025)
by: Gröger, Fabian, et al.
Published: (2025)
PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa
by: Gottfrois, Philippe, et al.
Published: (2024)
by: Gottfrois, Philippe, et al.
Published: (2024)
Search is All You Need for Few-shot Anomaly Detection
by: Wang, Qishan, et al.
Published: (2025)
by: Wang, Qishan, et al.
Published: (2025)
Evaluation of Deep Audio Representations for Hearables
by: Gröger, Fabian, et al.
Published: (2025)
by: Gröger, Fabian, et al.
Published: (2025)
Synthesis4AD: Synthetic Anomalies are All You Need for 3D Anomaly Detection
by: Sun, Yihan, et al.
Published: (2026)
by: Sun, Yihan, et al.
Published: (2026)
Representation-Based Data Quality Audits for Audio
by: Gonzalez-Jimenez, Alvaro, et al.
Published: (2025)
by: Gonzalez-Jimenez, Alvaro, et al.
Published: (2025)
Pseudo Anomalies Are All You Need: Diffusion-Based Generation for Weakly-Supervised Video Anomaly Detection
by: Hashimoto, Satoshi, et al.
Published: (2025)
by: Hashimoto, Satoshi, et al.
Published: (2025)
Similarity Memory Prior is All You Need for Medical Image Segmentation
by: Tang, Hao, et al.
Published: (2025)
by: Tang, Hao, et al.
Published: (2025)
Exchange Is All You Need for Remote Sensing Change Detection
by: Dong, Sijun, et al.
Published: (2026)
by: Dong, Sijun, et al.
Published: (2026)
Are Foundation Models All You Need for Zero-shot Face Presentation Attack Detection?
by: Gonzalez-Sole, Lazaro Janier, et al.
Published: (2025)
by: Gonzalez-Sole, Lazaro Janier, et al.
Published: (2025)
Two Steps Are All You Need: Efficient 3D Point Cloud Anomaly Detection with Consistency Models
by: A, Pranav, et al.
Published: (2026)
by: A, Pranav, et al.
Published: (2026)
Pairwise Comparisons Are All You Need
by: Chahine, Nicolas, et al.
Published: (2024)
by: Chahine, Nicolas, et al.
Published: (2024)
[MASK] is All You Need
by: Hu, Vincent Tao, et al.
Published: (2024)
by: Hu, Vincent Tao, et al.
Published: (2024)
With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You
by: Gröger, Fabian, et al.
Published: (2025)
by: Gröger, Fabian, et al.
Published: (2025)
ParameterNet: Parameters Are All You Need
by: Han, Kai, et al.
Published: (2023)
by: Han, Kai, et al.
Published: (2023)
GrootVL: Tree Topology is All You Need in State Space Model
by: Xiao, Yicheng, et al.
Published: (2024)
by: Xiao, Yicheng, et al.
Published: (2024)
Zoom and Shift are All You Need
by: Qin, Jiahao
Published: (2024)
by: Qin, Jiahao
Published: (2024)
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis
by: Araújo, Diogo J., et al.
Published: (2024)
by: Araújo, Diogo J., et al.
Published: (2024)
OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging
by: Han, Zihao, et al.
Published: (2025)
by: Han, Zihao, et al.
Published: (2025)
A Single Simple Patch is All You Need for AI-generated Image Detection
by: Chen, Jiaxuan, et al.
Published: (2024)
by: Chen, Jiaxuan, et al.
Published: (2024)
Is Discretization Fusion All You Need for Collaborative Perception?
by: Yang, Kang, et al.
Published: (2025)
by: Yang, Kang, et al.
Published: (2025)
Attention Is All You Need For Mixture-of-Depths Routing
by: Gadhikar, Advait, et al.
Published: (2024)
by: Gadhikar, Advait, et al.
Published: (2024)
CORDIC Is All You Need
by: Kokane, Omkar, et al.
Published: (2025)
by: Kokane, Omkar, et al.
Published: (2025)
Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation
by: Hu, Xinrong, et al.
Published: (2025)
by: Hu, Xinrong, et al.
Published: (2025)
Ideal Registration? Segmentation is All You Need
by: Chen, Xiang, et al.
Published: (2025)
by: Chen, Xiang, et al.
Published: (2025)
Performance is not All You Need: Sustainability Considerations for Algorithms
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Unsupervised Real-World Denoising: Sparsity is All You Need
by: Chihaoui, Hamadi, et al.
Published: (2025)
by: Chihaoui, Hamadi, et al.
Published: (2025)
Moving Object Segmentation: All You Need Is SAM (and Flow)
by: Xie, Junyu, et al.
Published: (2024)
by: Xie, Junyu, et al.
Published: (2024)
Emu3: Next-Token Prediction is All You Need
by: Wang, Xinlong, et al.
Published: (2024)
by: Wang, Xinlong, et al.
Published: (2024)
Positive Label Is All You Need for Multi-Label Classification
by: Yuan, Zhixiang, et al.
Published: (2023)
by: Yuan, Zhixiang, et al.
Published: (2023)
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection
by: Zhang, Haichao, et al.
Published: (2023)
by: Zhang, Haichao, et al.
Published: (2023)
Memory augment is All You Need for image restoration
by: Zhang, Xiao Feng, et al.
Published: (2023)
by: Zhang, Xiao Feng, et al.
Published: (2023)
CliffordNet: All You Need is Geometric Algebra
by: Ji, Zhongping
Published: (2026)
by: Ji, Zhongping
Published: (2026)
FineVision: Open Data Is All You Need
by: Wiedmann, Luis, et al.
Published: (2025)
by: Wiedmann, Luis, et al.
Published: (2025)
AI‐powered visual diagnosis of vulvar lichen sclerosus: A pilot study
by: Philippe Gottfrois, et al.
Published: (2024)
by: Philippe Gottfrois, et al.
Published: (2024)
Similar Items
-
Hyperbolic Metric Learning for Visual Outlier Detection
by: Gonzalez-Jimenez, Alvaro, et al.
Published: (2024) -
Clinical Uncertainty Impacts Machine Learning Evaluations
by: Lionetti, Simone, et al.
Published: (2025) -
Intrinsic Self-Supervision for Data Quality Audits
by: Gröger, Fabian, et al.
Published: (2023) -
Towards Scalable Foundation Models for Digital Dermatology
by: Gröger, Fabian, et al.
Published: (2024) -
A Global Atlas of Digital Dermatology to Map Innovation and Disparities
by: Gröger, Fabian, et al.
Published: (2025)