Copertina

From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rokuss, Maximilian, Kovacs, Balint, Kirchhoff, Yannick, Xiao, Shuhan, Ulrich, Constantin, Maier-Hein, Klaus H., Isensee, Fabian
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge
di: Kovacs, Balint, et al.
Pubblicazione: (2024)

Promptable Longitudinal Lesion Segmentation in Whole-Body CT
di: Kirchhoff, Yannick, et al.
Pubblicazione: (2025)

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models
di: Rokuss, Maximilian, et al.
Pubblicazione: (2025)

Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
di: Rokuss, Maximilian, et al.
Pubblicazione: (2024)

MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation
di: Roy, Saikat, et al.
Pubblicazione: (2025)

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
di: Kirchhoff, Yannick, et al.
Pubblicazione: (2024)

Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation
di: Rokuss, Maximilian, et al.
Pubblicazione: (2025)

Scaling nnU-Net for CBCT Segmentation
di: Isensee, Fabian, et al.
Pubblicazione: (2024)

MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
di: Ulrich, Constantin, et al.
Pubblicazione: (2023)

LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging
di: Rokuss, Maximilian, et al.
Pubblicazione: (2025)

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization
di: Dexl, Jakob, et al.
Pubblicazione: (2026)

Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation
di: Kirscher, Tristan, et al.
Pubblicazione: (2026)

Mitigating False Predictions In Unreasonable Body Regions
di: Ulrich, Constantin, et al.
Pubblicazione: (2024)

A Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data
di: Nohel, Michal, et al.
Pubblicazione: (2025)

Unsupervised Adaptation from FDG to PSMA PET/CT for 3D Lesion Detection under Label Shift
di: Liu, Xiaofeng, et al.
Pubblicazione: (2026)

MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI
di: Hamm, Benjamin, et al.
Pubblicazione: (2025)

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
di: Roy, Saikat, et al.
Pubblicazione: (2023)

Towards AI Lesion Tracking in PET/CT Imaging: A Siamese-based CNN Pipeline applied on PSMA PET/CT Scans
di: Hein, Stefan P., et al.
Pubblicazione: (2024)

A Multi-Stage Fine-Tuning and Ensembling Strategy for Pancreatic Tumor Segmentation in Diagnostic and Therapeutic MRI
di: Durugol, Omer Faruk, et al.
Pubblicazione: (2025)

VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation
di: Rokuss, Maximilian, et al.
Pubblicazione: (2025)

Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation
di: Ulrich, Constantin, et al.
Pubblicazione: (2025)

Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation
di: Götz, Michael, et al.
Pubblicazione: (2024)

Lesion Segmentation in FDG-PET/CT Using Swin Transformer U-Net 3D: A Robust Deep Learning Framework
di: Guha, Shovini, et al.
Pubblicazione: (2026)

Comprehensive Evaluation of Quantitative Measurements from Automated Deep Segmentations of PSMA PET/CT Images
di: Dzikunu, Obed Korshie, et al.
Pubblicazione: (2025)

Temporal Flow Matching for Learning Spatio-Temporal Trajectories in 4D Longitudinal Medical Imaging
di: Disch, Nico Albert, et al.
Pubblicazione: (2025)

CRONOS: Continuous Time Reconstruction for 4D Medical Longitudinal Series
di: Disch, Nico Albert, et al.
Pubblicazione: (2025)

Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking
di: Kirchhoff, Yannick, et al.
Pubblicazione: (2026)

Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
di: Fischer, Maximilian, et al.
Pubblicazione: (2025)

Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III Challenge
di: Wang, Ching-Wei, et al.
Pubblicazione: (2024)

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

An Open Multi-Center Whole-Body FDG PET/CT Foundation Model for Tumor Segmentation
di: Liu, Xiaofeng, et al.
Pubblicazione: (2026)

RadioActive: 3D Radiological Interactive Segmentation Benchmark
di: Ulrich, Constantin, et al.
Pubblicazione: (2024)

Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge
di: Astaraki, Mehdi, et al.
Pubblicazione: (2024)

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

Disentangled PET Lesion Segmentation
di: Gatsak, Tanya, et al.
Pubblicazione: (2024)

Anatomy-Aware Lymphoma Lesion Detection in Whole-Body PET/CT
di: Bendazzoli, Simone, et al.
Pubblicazione: (2025)

Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation
di: Gotkowski, Karol, et al.
Pubblicazione: (2024)

AutoPET III Challenge: PET/CT Semantic Segmentation
di: Safdari, Reza, et al.
Pubblicazione: (2024)

Head and Neck Tumor Segmentation from [18F]F-FDG PET/CT Images Based on 3D Diffusion Model
di: Dong, Yafei, et al.
Pubblicazione: (2024)

Automatic classification of prostate MR series type using image content and metadata
di: Krishnaswamy, Deepa, et al.
Pubblicazione: (2024)