Cover Image

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Junwei, Hao, Yingqi, Luo, Yitong, Wang, Ziyu, Liu, Mingxuan, Chen, Yifei, Wang, Yuanhan, Xiang, Lei, Tian, Qiyuan
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients
by: Yousefirizi, Fereshteh, et al.
Published: (2022)

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

S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap
by: Cui, Jiaqi, et al.
Published: (2024)

Unsupervised Learning of Multi-modal Affine Registration for PET/CT
by: Chen, Junyu, et al.
Published: (2024)

Generalizable CT-Free PET Attenuation and Scatter Correction for Pediatric Patients
by: Wu, Jia-Mian, et al.
Published: (2026)

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation
by: Liang, Xinglong, et al.
Published: (2025)

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

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

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

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

PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models
by: Li, Yitong, et al.
Published: (2024)

Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism
by: Tian, Qiyuan, et al.
Published: (2024)

Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images
by: Mei, Jie, et al.
Published: (2025)

Masked Autoencoder Pretraining and BiXLSTM ResNet Architecture for PET/CT Tumor Segmentation
by: Mazher, Moona, et al.
Published: (2025)

Hybrid Kinetics Embedding Framework for Dynamic PET Reconstruction
by: Ye, Yubo, et al.
Published: (2024)

Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation
by: Qi, Yuxuan, et al.
Published: (2024)

Noise-aware Dynamic Image Denoising and Positron Range Correction for Rubidium-82 Cardiac PET Imaging via Self-supervision
by: Xie, Huidong, et al.
Published: (2024)

Anatomy-constrained modelling of image-derived input functions in dynamic PET using multi-organ segmentation
by: Langer, Valentin, et al.
Published: (2025)

Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour Segmentation
by: Alloula, Anissa, et al.
Published: (2023)

MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
by: Li, Siqiao, et al.
Published: (2025)

Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
by: Jaus, Alexander, et al.
Published: (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
by: Ghosh, Soumen, et al.
Published: (2025)

Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction
by: Kim, Yumin, et al.
Published: (2024)

Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI
by: Liu, Mingxuan, et al.
Published: (2026)

Full-dose Whole-body PET Synthesis from Low-dose PET Using High-efficiency Denoising Diffusion Probabilistic Model: PET Consistency Model
by: Pan, Shaoyan, et al.
Published: (2023)

Synthetic CT Generation from Time-of-Flight Non-Attenutaion-Corrected PET for Whole-Body PET Attenuation Correction
by: Chen, Weijie, et al.
Published: (2025)

Multibranch Generative Models for Multichannel Imaging with an Application to PET/CT Synergistic Reconstruction
by: Pinton, Noel Jeffrey, et al.
Published: (2024)

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction
by: Sun, Yiran, et al.
Published: (2024)

PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network
by: Xue, Yuxin, et al.
Published: (2023)

MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising
by: Niu, Xiaolong, et al.
Published: (2025)

CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach
by: Nguyen, Dac Thai, et al.
Published: (2024)

OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentation
by: Kim, Justin Namuk, et al.
Published: (2025)

FourierPET: Deep Fourier-based Unrolled Network for Low-count PET Reconstruction
by: Zhang, Zheng, et al.
Published: (2026)

ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions
by: Wynen, Maxence, et al.
Published: (2025)

H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images
by: Lu, Jinpeng, et al.
Published: (2024)

Prediction of recurrence free survival of head and neck cancer using PET/CT radiomics and clinical information
by: Furukawa, Mona, et al.
Published: (2024)

End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms
by: Jiang, Caiwen, et al.
Published: (2024)