Cover Image

Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yousefirizi, Fereshteh, Shiri, Isaac, O, Joo Hyun, Bloise, Ingrid, Martineau, Patrick, Wilson, Don, Bénard, François, Sehn, Laurie H., Savage, Kerry J., Zaidi, Habib, Uribe, Carlos F., Rahmim, Arman
Format:	Preprint
Published:	2022
Subjects:	Medical Physics Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma
by: Ahamed, Shadab, et al.
Published: (2024)

Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses
by: Ahamed, Shadab, et al.
Published: (2023)

Segmentation-Free Outcome Prediction from Head and Neck Cancer PET/CT Images: Deep Learning-Based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs)
by: Toosi, Amirhosein, et al.
Published: (2024)

Towards Routine AI-Based PET/CT and SPECT/CT Lesion Segmentation and Tracking in PSMA Theranostics
by: Yousefirizi, Fereshteh, et al.
Published: (2026)

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
by: Ahamed, Shadab, et al.
Published: (2024)

RT-utils: A Minimal Python Library for RT-struct Manipulation
by: Shrestha, Asim, et al.
Published: (2024)

Seeing More, Treating Smarter: Role of Long-Axial Field-of-View PET-CT in The Evolution of Theranostics
by: Esquinas, Pedro L., et al.
Published: (2025)

Development of the Lymphatic System in the 4D XCAT Phantom
by: Fedrigo, Roberto, et al.
Published: (2021)

Beyond the Tumor: Recurrence-Prone Radiomics for Prognostication in Negative PSMA PET/CT scans of Prostate Cancer
by: Yousefirizi, Fereshteh, et al.
Published: (2026)

Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning
by: Yazdan Salimi, et al.
Published: (2024)

Development of the quantitative PET prostate phantom (Q3P) for improved quality assurance of 18F‐PSMA PET imaging in metastatic prostate cancer
by: Roberto Fedrigo, et al.
Published: (2024)

How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models
by: Toosi, Amirhosein, et al.
Published: (2024)

Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies
by: Lopez-Montes, Alejandro, et al.
Published: (2025)

Neural blind deconvolution for deblurring and supersampling PSMA PET
by: Sample, Caleb, et al.
Published: (2023)

Radiuma: A Unified Zero-Code Executable Graphical Workflow Generator for Reproducible and Shareable Medical Image Analysis and Machine Learning
by: Salmanpour, Mohammad, et al.
Published: (2026)

PSMA PET/CT as a predictive tool for sub-regional importance estimates in the parotid gland
by: Sample, Caleb, et al.
Published: (2023)

Artificial Intelligence-Guided PET Image Reconstruction and Multi-Tracer Imaging: Novel Methods, Challenges, And Opportunities
by: Dassanayake, Movindu, et al.
Published: (2025)

Novel Method to Estimate Kinetic Microparameters from Dynamic Whole-Body Imaging in Regular-Axial Field-of-View PET Scanners
by: Lee, Kyung-Nam, et al.
Published: (2024)

IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study
by: Ahamed, Shadab, et al.
Published: (2024)

Investigating heterogeneous PSMA ligand uptake inside parotid glands
by: Sample, Caleb, et al.
Published: (2024)

DeepBoost-AF: A Novel Unsupervised Feature Learning and Gradient Boosting Fusion for Robust Atrial Fibrillation Detection in Raw ECG Signals
by: Jafari, Alireza, et al.
Published: (2025)

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

Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images
by: Sabouri, Maziar, et al.
Published: (2024)

Myocardial perfusion SPECT radiomic features reproducibility assessment: Impact of image reconstruction and harmonization
by: Omid Gharibi, et al.
Published: (2024)

Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging
by: Zakariaei, Niloufar, et al.
Published: (2024)

Advancing Positron Emission Tomography Image Quantification: Artificial Intelligence-Driven Methods, Clinical Challenges, and Emerging Opportunities in Long-Axial Field-of-View Positron Emission Tomography/Computed Tomography Imaging
by: Yousefirizi, Fereshteh, et al.
Published: (2025)

Virtual Theranostic Trials: New Approach Methodologies (NAMs) and Precision Radiopharmaceutical Therapies
by: Uribe, Carlos F., et al.
Published: (2026)

Long‐term follow‐up of bulky classic Hodgkin lymphoma managed with ABVD and PET‐guided RT demonstrates excellent outcomes in PET‐negative cases
by: J. L. Kim, et al.
Published: (2024)

Towards Integrated Clinical-Computational Nuclear Medicine
by: Farhadi, Faraz, et al.
Published: (2025)

Predictive Dosimetry in PSMA-Targeted Radiopharmaceutical Therapies: A PBPK Modeling and Machine Learning Study
by: Abdollahi, Hamid, et al.
Published: (2025)

Ulysses annotated
by: Don Gifford
Published: (1988)

Uncertainty Propagation from Projections to Region Counts in Tomographic Imaging: Application to Radiopharmaceutical Dosimetry
by: Polson, Lucas, et al.
Published: (2024)

EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation
by: Lituan, Wang, et al.
Published: (2025)

Railway LiDAR semantic segmentation based on intelligent semi-automated data annotation
by: Wulff, Florian, et al.
Published: (2024)

Characterization of artificial intelligence performance for lesion detection using synthetic lesions in PET imaging
by: Quinn de Bourbon, et al.
Published: (2025)

PySERA: Open-Source Standardized Python Library for Automated, Scalable, and Reproducible Handcrafted and Deep Radiomics
by: Salmanpour, Mohammad R., et al.
Published: (2025)

Therapeutic advances and gradual improvement in overall survival in mantle cell lymphoma over four decades
by: M. Alzahrani, et al.
Published: (2025)

Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images
by: Dzikunu, Obed Korshie, et al.
Published: (2025)

Strategies for deep learning‐based attenuation and scatter correction of brain 18F‐FDG PET images in the image domain
by: Reza Jahangir, et al.
Published: (2024)

The value of semiquantitative PET features and end‐of‐therapy PET in grade 3B follicular lymphoma
by: Allison Barraclough, et al.
Published: (2024)