Image de couverture de livre

Budget-Aware Uncertainty for Radiotherapy Segmentation QA Using nnU-Net

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Brioso, Ricardo Coimbra, Mondo, Lorenzo, Dei, Damiano, Lambri, Nicola, Mancosu, Pietro, Scorsetti, Marta, Loiacono, Daniele
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Investigating Gender Bias in Lymph-node Segmentation with Anatomical Priors
par: Brioso, Ricardo Coimbra, et autres
Publié: (2024)

Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation
par: Brioso, Ricardo Coimbra, et autres
Publié: (2024)

Efficient KernelSHAP Explanations for Patch-based 3D Medical Image Segmentation
par: Brioso, Ricardo Coimbra, et autres
Publié: (2026)

ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy
par: Brioso, Ricardo Coimbra, et autres
Publié: (2025)

Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs
par: Crespi, Leonardo, et autres
Publié: (2024)

Scaling nnU-Net for CBCT Segmentation
par: Isensee, Fabian, et autres
Publié: (2024)

Efficient Bayesian Uncertainty Estimation for nnU-Net
par: Zhao, Yidong, et autres
Publié: (2022)

Deep learning‐based optimization of field geometry for total marrow irradiation delivered with volumetric modulated arc therapy
par: Nicola Lambri, et autres
Publié: (2024)

Left Atrial Segmentation with nnU-Net Using MRI
par: Hosseinabadi, Fatemeh, et autres
Publié: (2025)

Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net
par: Ziaee, Seyed Sina, et autres
Publié: (2025)

Auto-nnU-Net: Towards Automated Medical Image Segmentation
par: Becktepe, Jannis, et autres
Publié: (2025)

Automated Prostate Gland Segmentation in MRI Using nnU-Net
par: Rodriguez-Belenguer, Pablo, et autres
Publié: (2026)

Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
par: Skorupko, Grzegorz, et autres
Publié: (2025)

Privacy-Aware Federated nnU-Net for ECG Page Digitization
par: Nemati, Nader
Publié: (2025)

How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation
par: Gunawardhana, Malitha, et autres
Publié: (2024)

Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation
par: Fernández-Rodríguez, Marcos, et autres
Publié: (2024)

Training Beyond Convergence: Grokking nnU-Net for Glioma Segmentation in Sub-Saharan MRI
par: Barakat, Mohtady, et autres
Publié: (2026)

Efficient Brain Tumor Segmentation Using1 Hybrid-Pruned nnU-Net2
par: Muhammad, Jameel, et autres
Publié: (2025)

Towards Reliable Pediatric Brain Tumor Segmentation: Task-Specific nnU-Net Enhancements
par: Li, Xiaolong, et autres
Publié: (2025)

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net
par: Pham, William, et autres
Publié: (2024)

Selective Phase-Aware Training of nnU-Net for Robust Breast Cancer Segmentation in Multi-Center DCE-MRI
par: Zayim, Beyza, et autres
Publié: (2025)

Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation
par: Mistry, Sahaj K., et autres
Publié: (2024)

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
par: Isensee, Fabian, et autres
Publié: (2024)

MRI Breast tissue segmentation using nnU-Net for biomechanical modeling
par: Pooyan, Melika, et autres
Publié: (2024)

Cracking the PUMA Challenge in 24 Hours with CellViT++ and nnU-Net
par: Shahamiri, Negar, et autres
Publié: (2025)

Two-Stage nnU-Net for Automatic Multi-class Bi-Atrial Segmentation from LGE-MRIs
par: On, Y., et autres
Publié: (2025)

Automated surgical planning with nnU-Net: delineation of the anatomy in hepatobiliary phase MRI
par: Olthof, Karin A., et autres
Publié: (2025)

Multi-encoder nnU-Net outperforms transformer models with self-supervised pretraining
par: Otaghsara, Seyedeh Sahar Taheri, et autres
Publié: (2025)

MRI-based Head and Neck Tumor Segmentation Using nnU-Net with 15-fold Cross-Validation Ensemble
par: Mol, Frank N., et autres
Publié: (2024)

Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors
par: Vossough, Arastoo, et autres
Publié: (2024)

Advanced Tumor Segmentation in PET/CT Imaging: A Training Strategy Study with nnU-Net for AutoPET III
par: Alasmawi, Hussain
Publié: (2026)

Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset
par: Bohara, Prabin, et autres
Publié: (2026)

Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III Challenge
par: Wang, Ching-Wei, et autres
Publié: (2024)

Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions
par: Truzman, Tammar, et autres
Publié: (2026)

Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations
par: Kaniewski, Piotr, et autres
Publié: (2024)

UMambaAdj: Advancing GTV Segmentation for Head and Neck Cancer in MRI-Guided RT with UMamba and nnU-Net ResEnc Planner
par: Ren, Jintao, et autres
Publié: (2024)

Deep Learning Myocardial Segmentation in 3D Whole‐Heart Joint T1/T2 Mapping: Comparison of nnU‐Net and MA‐SAM
par: G. Carlota Rivera, et autres
Publié: (2026)

Optimizing the nnU-Net model for brain tumor (Glioma) segmentation Using a BraTS Sub-Saharan Africa (SSA) dataset
par: Kalu, Chukwuemeka Arua, et autres
Publié: (2025)

Dosimetric comparison of the BNCT treatment planning performances when using a nnU-NET to automatically segment Glioblastoma Multiforme
par: Pezzi, Cristina, et autres
Publié: (2024)

Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets
par: Ghosh, Soumen, et autres
Publié: (2025)