Cover Image

Region-Normalized DPO for Medical Image Segmentation under Noisy Judges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kalisch, Hamza, Seibold, Constantin, Kleesiek, Jens, Herrmann, Ken, Jonske, Frederic
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation
by: Kalisch, Hamza, et al.
Published: (2025)

Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT
by: Kalisch, Hamza, et al.
Published: (2024)

Automatic Fine-grained Segmentation-assisted Report Generation
by: Jonske, Frederic, et al.
Published: (2025)

Foreign object segmentation in chest x-rays through anatomy-guided shape insertion
by: Seibold, Constantin, et al.
Published: (2025)

Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient Constraints
by: Nasimzada, Jonas, et al.
Published: (2024)

De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy
by: Rempe, Moritz, et al.
Published: (2024)

Anatomy-guided Pathology Segmentation
by: Jaus, Alexander, et al.
Published: (2024)

Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
by: Jonske, Frederic, et al.
Published: (2023)

Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks
by: Jaus, Alexander, et al.
Published: (2024)

Good Enough: Is it Worth Improving your Label Quality?
by: Jaus, Alexander, et al.
Published: (2025)

LIMIS: Towards Language-based Interactive Medical Image Segmentation
by: Heinemann, Lena, et al.
Published: (2024)

GRASPing Anatomy to Improve Pathology Segmentation
by: Li, Keyi, et al.
Published: (2025)

Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels
by: Dong, Jiahua, et al.
Published: (2024)

Adaptive Label Correction for Robust Medical Image Segmentation with Noisy Labels
by: Qian, Chengxuan, et al.
Published: (2025)

Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
by: Marinov, Zdravko, et al.
Published: (2023)

Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations
by: Li, Ming, et al.
Published: (2024)

Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images
by: Riaz, Hamza, et al.
Published: (2025)

Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels
by: Guo, Erjian, et al.
Published: (2025)

Frame2Freq: Spectral Adapters for Fine-Grained Video Understanding
by: Ponbagavathi, Thinesh Thiyakesan, et al.
Published: (2026)

Probabilistic Domain Adaptation for Biomedical Image Segmentation
by: Archit, Anwai, et al.
Published: (2023)

PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation
by: Huang, Qihan, et al.
Published: (2024)

Is Visual in-Context Learning for Compositional Medical Tasks within Reach?
by: Reiß, Simon, et al.
Published: (2025)

DPO Learning with LLMs-Judge Signal for Computer Use Agents
by: Luo, Man, et al.
Published: (2025)

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model
by: Xi, Lin, et al.
Published: (2025)

Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
by: Jaus, Alexander, et al.
Published: (2024)

Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data
by: Heine, Lukas, et al.
Published: (2024)

Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation
by: Sharif, Muhammad Hamza, et al.
Published: (2024)

FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
by: He, Along, et al.
Published: (2024)

Primus: Enforcing Attention Usage for 3D Medical Image Segmentation
by: Wald, Tassilo, et al.
Published: (2025)

Bidirectional Uncertainty-Aware Region Learning for Semi-Supervised Medical Image Segmentation
by: Zhou, Shiwei, et al.
Published: (2025)

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
by: Isensee, Fabian, et al.
Published: (2024)

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging
by: Teuber, Carolin, et al.
Published: (2025)

Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods
by: Marinov, Zdravko, et al.
Published: (2024)

Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
by: Ferreira, André, et al.
Published: (2024)

CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models
by: Hörst, Fabian, et al.
Published: (2025)

Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation
by: Liu, Chenying, et al.
Published: (2024)

SemRaFiner: Panoptic Segmentation in Sparse and Noisy Radar Point Clouds
by: Zeller, Matthias, et al.
Published: (2025)

E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
by: Wu, Boqian, et al.
Published: (2023)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
by: Wu, Junde, et al.
Published: (2023)

RADA: Region-Aware Dual-encoder Auxiliary learning for Barely-supervised Medical Image Segmentation
by: Zeng, Shuang, et al.
Published: (2026)