Guardado en:
| Autores principales: | Moustafa, Wesam, Elsafty, Hossam, Schneider, Helen, Sparrenberg, Lorenz, Sifa, Rafet |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2601.14039 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Knowing When Not to Predict: Self Supervised Learning and Abstention for Safer DR Screening
por: Chopra, Muskaan, et al.
Publicado: (2026)
por: Chopra, Muskaan, et al.
Publicado: (2026)
From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening
por: Chopra, Muskaan, et al.
Publicado: (2025)
por: Chopra, Muskaan, et al.
Publicado: (2025)
Towards Reliable Machine Translation: Scaling LLMs for Critical Error Detection and Safety
por: Chopra, Muskaan, et al.
Publicado: (2026)
por: Chopra, Muskaan, et al.
Publicado: (2026)
SynCED-EnDe 2025: A Synthetic and Curated English - German Dataset for Critical Error Detection in Machine Translation
por: Chopra, Muskaan, et al.
Publicado: (2025)
por: Chopra, Muskaan, et al.
Publicado: (2025)
How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation
por: Chopra, Muskaan, et al.
Publicado: (2025)
por: Chopra, Muskaan, et al.
Publicado: (2025)
Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems
por: Schneider, Helen, et al.
Publicado: (2024)
por: Schneider, Helen, et al.
Publicado: (2024)
SugarViT -- Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet
por: Günder, Maurice, et al.
Publicado: (2023)
por: Günder, Maurice, et al.
Publicado: (2023)
A Survey on Current Trends and Recent Advances in Text Anonymization
por: Deußer, Tobias, et al.
Publicado: (2025)
por: Deußer, Tobias, et al.
Publicado: (2025)
From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation
por: Wang, Tao, et al.
Publicado: (2025)
por: Wang, Tao, et al.
Publicado: (2025)
Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification
por: Pereira, Maycon R. S., et al.
Publicado: (2026)
por: Pereira, Maycon R. S., et al.
Publicado: (2026)
Learning from Disagreement: A Group Decision Simulation Framework for Robust Medical Image Segmentation
por: Zhong, Chen, et al.
Publicado: (2025)
por: Zhong, Chen, et al.
Publicado: (2025)
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation
por: Shen, Chuyun, et al.
Publicado: (2024)
por: Shen, Chuyun, et al.
Publicado: (2024)
DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation
por: Tian, Yiqi, et al.
Publicado: (2026)
por: Tian, Yiqi, et al.
Publicado: (2026)
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation
por: En, Qing, et al.
Publicado: (2024)
por: En, Qing, et al.
Publicado: (2024)
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
por: He, Yuanpeng
Publicado: (2024)
por: He, Yuanpeng
Publicado: (2024)
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer
por: Kang, Sungmin, et al.
Publicado: (2024)
por: Kang, Sungmin, et al.
Publicado: (2024)
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
por: Li, Lijian
Publicado: (2024)
por: Li, Lijian
Publicado: (2024)
Robust Box Prompt based SAM for Medical Image Segmentation
por: Huang, Yuhao, et al.
Publicado: (2024)
por: Huang, Yuhao, et al.
Publicado: (2024)
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning
por: Zhou, Pengcheng, et al.
Publicado: (2025)
por: Zhou, Pengcheng, et al.
Publicado: (2025)
Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation
por: Qu, Jingguo, et al.
Publicado: (2026)
por: Qu, Jingguo, et al.
Publicado: (2026)
Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation
por: Ma, Siteng, et al.
Publicado: (2024)
por: Ma, Siteng, et al.
Publicado: (2024)
Explicit Abstention Knobs for Predictable Reliability in Video Question Answering
por: Ortiz, Jorge
Publicado: (2025)
por: Ortiz, Jorge
Publicado: (2025)
Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention
por: Khanna, Sarthak, et al.
Publicado: (2025)
por: Khanna, Sarthak, et al.
Publicado: (2025)
Is Your Text-to-Image Model Robust to Caption Noise?
por: Yu, Weichen, et al.
Publicado: (2024)
por: Yu, Weichen, et al.
Publicado: (2024)
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
por: Lv, Xingguo, et al.
Publicado: (2025)
por: Lv, Xingguo, et al.
Publicado: (2025)
Camyla: Scaling Autonomous Research in Medical Image Segmentation
por: Gao, Yifan, et al.
Publicado: (2026)
por: Gao, Yifan, et al.
Publicado: (2026)
Ordinal Semantic Segmentation Applied to Medical and Odontological Images
por: Lima, Mariana Dória Prata, et al.
Publicado: (2026)
por: Lima, Mariana Dória Prata, et al.
Publicado: (2026)
Curriculum Prompting Foundation Models for Medical Image Segmentation
por: Zheng, Xiuqi, et al.
Publicado: (2024)
por: Zheng, Xiuqi, et al.
Publicado: (2024)
Boosting Medical Image Classification with Segmentation Foundation Model
por: Gu, Pengfei, et al.
Publicado: (2024)
por: Gu, Pengfei, et al.
Publicado: (2024)
Weakly-supervised Medical Image Segmentation with Gaze Annotations
por: Zhong, Yuan, et al.
Publicado: (2024)
por: Zhong, Yuan, et al.
Publicado: (2024)
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training
por: Zeng, Shuang, et al.
Publicado: (2025)
por: Zeng, Shuang, et al.
Publicado: (2025)
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
por: He, Yuanpeng, et al.
Publicado: (2024)
por: He, Yuanpeng, et al.
Publicado: (2024)
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging
por: Shen, Lingdong, et al.
Publicado: (2024)
por: Shen, Lingdong, et al.
Publicado: (2024)
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
por: Zeng, Shuang, et al.
Publicado: (2023)
por: Zeng, Shuang, et al.
Publicado: (2023)
SAM-Fed: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation
por: Nasirihaghighi, Sahar, et al.
Publicado: (2025)
por: Nasirihaghighi, Sahar, et al.
Publicado: (2025)
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection
por: Günder, Maurice, et al.
Publicado: (2023)
por: Günder, Maurice, et al.
Publicado: (2023)
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation
por: Yan, Zhonghao, et al.
Publicado: (2025)
por: Yan, Zhonghao, et al.
Publicado: (2025)
Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation
por: Cheng, Zehua, et al.
Publicado: (2024)
por: Cheng, Zehua, et al.
Publicado: (2024)
Efficient Search of Implantable Adaptive Cells for Medical Image Segmentation
por: Benedykciuk, Emil, et al.
Publicado: (2026)
por: Benedykciuk, Emil, et al.
Publicado: (2026)
Diffusion Model in Latent Space for Medical Image Segmentation Task
por: Ngoc, Huynh Trinh, et al.
Publicado: (2025)
por: Ngoc, Huynh Trinh, et al.
Publicado: (2025)
Ejemplares similares
-
Knowing When Not to Predict: Self Supervised Learning and Abstention for Safer DR Screening
por: Chopra, Muskaan, et al.
Publicado: (2026) -
From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening
por: Chopra, Muskaan, et al.
Publicado: (2025) -
Towards Reliable Machine Translation: Scaling LLMs for Critical Error Detection and Safety
por: Chopra, Muskaan, et al.
Publicado: (2026) -
SynCED-EnDe 2025: A Synthetic and Curated English - German Dataset for Critical Error Detection in Machine Translation
por: Chopra, Muskaan, et al.
Publicado: (2025) -
How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation
por: Chopra, Muskaan, et al.
Publicado: (2025)