Cover Image

DosimeTron: Automating Personalized Monte Carlo Radiation Dosimetry in PET/CT with Agentic AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tzanis, Eleftherios, Klontzas, Michail E., Tzortzakakis, Antonios
Format:	Preprint
Published:	2026
Subjects:	Medical Physics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReclAIm: A multi-agent framework for degradation-aware performance tuning of medical imaging AI
by: Tzanis, Eleftherios, et al.
Published: (2025)

mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging
by: Tzanis, Eleftherios, et al.
Published: (2025)

Evaluating The Performance of Using Large Language Models to Automate Summarization of CT Simulation Orders in Radiation Oncology
by: Cao, Meiyun, et al.
Published: (2025)

Development and Validation of Patient-Specific Monte Carlo Dosimetry for Synchrotron Breast Phase-Contrast CT
by: Entezam, Amir, et al.
Published: (2026)

Exploring Strategies for Personalized Radiation Therapy Part II Predicting Tumor Drift Patterns with Diffusion Models
by: Peng, Hao, et al.
Published: (2025)

Exploring Strategies for Personalized Radiation Therapy Part I Unlocking Response-Related Tumor Subregions with Class Activation Mapping
by: Peng, Hao, et al.
Published: (2025)

Machine Learning-Based Modeling of the Anode Heel Effect in X-ray Beam Monte Carlo Simulations
by: Harb, Hussein, et al.
Published: (2025)

Automatic Personalized Impression Generation for PET Reports Using Large Language Models
by: Tie, Xin, et al.
Published: (2023)

Exploring Strategies for Personalized Radiation Therapy: Part III Identifying genetic determinants for Radiation Response with Meta Learning
by: Peng, Hao, et al.
Published: (2025)

OpenRad: a Curated Repository of Open-access AI models for Radiology
by: Vrettos, Konstantinos, et al.
Published: (2026)

An Overview of the Development of Stereotactic Body Radiation Therapy
by: Zong, Yanqi, et al.
Published: (2024)

Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging
by: Ren, Jintao, et al.
Published: (2024)

Towards Human-Centric Intelligent Treatment Planning for Radiation Therapy
by: Jafar, Adnan, et al.
Published: (2025)

Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support
by: Putz, Florian, et al.
Published: (2025)

Roadmap towards Personalized Approaches and Safety Considerations in Non-Ionizing Radiation: From Dosimetry to Therapeutic and Diagnostic Applications
by: Laakso, Ilkka, et al.
Published: (2025)

AutoFLUKA: A Large Language Model Based Framework for Automating Monte Carlo Simulations in FLUKA
by: Ndum, Zavier Ndum, et al.
Published: (2024)

An Optimization Framework to Personalize Passive Cardiac Mechanics
by: Shi, Lei, et al.
Published: (2024)

Automated radiotherapy treatment planning guided by GPT-4Vision
by: Liu, Sheng, et al.
Published: (2024)

AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT Images
by: Ahamed, Shadab
Published: (2024)

Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network
by: Tie, Xin, et al.
Published: (2024)

Nuclear Medicine AI in Action: The Bethesda Report (AI Summit 2024)
by: Rahmim, Arman, et al.
Published: (2024)

Automated identification and quantification of myocardial inflammatory infiltration in digital histological images to diagnose myocarditis
by: Liu, Yanyun, et al.
Published: (2023)

Non-negative Matrix Factorization using Partial Prior Knowledge for Radiation Dosimetry
by: Lessard, Boby, et al.
Published: (2023)

Fine-Tuning Open-Source Large Language Models to Improve Their Performance on Radiation Oncology Tasks: A Feasibility Study to Investigate Their Potential Clinical Applications in Radiation Oncology
by: Wang, Peilong, et al.
Published: (2025)

Quantitative multi-metabolite imaging of Parkinson's disease using AI boosted molecular MRI
by: Shmuely, Hagar, et al.
Published: (2025)

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

Zero-Shot Large Language Model Agents for Fully Automated Radiotherapy Treatment Planning
by: Yang, Dongrong, et al.
Published: (2025)

Patient-specific AI for generation of 3D dosimetry imaging from two 2D-planar measurements
by: Lopez-Montes, Alejandro, et al.
Published: (2025)

Automated multiclass segmentation, quantification, and visualization of the diseased aorta on hybrid PET/CT–SEQUOIA
by: Gijs D. van Praagh, et al.
Published: (2024)

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

EqDiff-CT: Equivariant Conditional Diffusion model for CT Image Synthesis from CBCT
by: Altalib, Alzahra, et al.
Published: (2025)

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

Scatter correction based on quasi-Monte Carlo for CT reconstruction
by: Lin, Guiyuan, et al.
Published: (2025)

Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks
by: Vrettos, Konstantinos, et al.
Published: (2025)

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)

PET/SPECT/Spectral‐CT/CBCT imaging in a small‐animal radiation therapy platform: A Monte Carlo study—Part II: Biologically guided radiotherapy
by: Xiadong Li, et al.
Published: (2024)

Radiochromic Film Dosimetry for VHEE and UHDR: Considerations for the CLEAR Facility and Comparisons with Alanine, RPL and Dosimetry Phantoms
by: Rieker, V. F., et al.
Published: (2025)

Active Personal Eye Lens Dosimetry with the Hybrid Pixelated Dosepix Detector
by: Beißer, Florian, et al.
Published: (2023)

The stochastic digital human is now enrolling for in silico imaging trials -- Methods and tools for generating digital cohorts
by: Badano, A, et al.
Published: (2023)

Improved Image Reconstruction and Diffusion Parameter Estimation Using a Temporal Convolutional Network Model of Gradient Trajectory Errors
by: Martin, Jonathan B., et al.
Published: (2025)