Cover Image

Physics-Guided Radiotherapy Treatment Planning with Deep Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Achlatis, Stefanos, Gavves, Efstratios, Sonke, Jan-Jakob
Format:	Preprint
Published:	2025
Subjects:	Medical Physics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
by: Moriakov, Nikita, et al.
Published: (2025)

Deep Evidential Learning for Radiotherapy Dose Prediction
by: Tan, Hai Siong, et al.
Published: (2024)

Virtual Dosimetrists: A Radiotherapy Training "Flight Simulator"
by: Gay, Skylar S., et al.
Published: (2025)

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

Understanding the PULSAR Effect in Combined Radiotherapy and Immunotherapy through Attention Mechanisms with a Transformer Model
by: Peng, Hao, et al.
Published: (2024)

A Beam's Eye View to Fluence Maps 3D Network for Ultra Fast VMAT Radiotherapy Planning
by: Arberet, Simon, et al.
Published: (2025)

Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer
by: Tie, Xin, et al.
Published: (2024)

Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent
by: Nusrat, Humza, et al.
Published: (2025)

Quantification of the Plan Aperture Modulation of Radiotherapy Treatment Plans
by: Hernandez, Victor, et al.
Published: (2024)

Referenceless Proton Resonance Frequency Thermometry Using Deep Learning with Self-Attention
by: Zhao, Yueran, et al.
Published: (2025)

Gradient Map-Assisted Head and Neck Tumor Segmentation: A Pre-RT to Mid-RT Approach in MRI-Guided Radiotherapy
by: Ren, Jintao, et al.
Published: (2024)

Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy
by: Kumar, Avisha, et al.
Published: (2024)

A Digital Twin Framework for Adaptive Treatment Planning in Radiotherapy
by: Chang, Chih-Wei, et al.
Published: (2025)

New Insights into Automatic Treatment Planning for Cancer Radiotherapy Using Explainable Artificial Intelligence
by: Abrar, Md Mainul, et al.
Published: (2025)

Ultrasound-Guided Real-Time Spinal Motion Visualization for Spinal Instability Assessment
by: Li, Feng, et al.
Published: (2026)

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
by: Wang, Zi, et al.
Published: (2023)

Mechanistic Interpretability for AI Safety -- A Review
by: Bereska, Leonard, et al.
Published: (2024)

Unsupervised Learning for Inverse Problems in Computed Tomography
by: Hellwege, Laura, et al.
Published: (2025)

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT
by: Moriakov, Nikita, et al.
Published: (2024)

Deep Learning-based Intraoperative MRI Reconstruction
by: Ottesen, Jon André, et al.
Published: (2024)

Learning the Domain Specific Inverse NUFFT for Accelerated Spiral MRI using Diffusion Models
by: Chan, Trevor J., et al.
Published: (2024)

Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
by: Yin, Wenzhe, et al.
Published: (2025)

Learning a Filtered Backprojection Reconstruction Method for Photoacoustic Computed Tomography with Hemispherical Measurement Geometries
by: Chen, Panpan, et al.
Published: (2024)

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

Application of a Virtual Imaging Framework for Investigating a Deep Learning-Based Reconstruction Method for 3D Quantitative Photoacoustic Computed Tomography
by: Cam, Refik Mert, et al.
Published: (2025)

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
by: Yiasemis, George, et al.
Published: (2024)

CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
by: Liu, Jie, et al.
Published: (2024)

Deep-Learning Atlas Registration for Melanoma Brain Metastases: Preserving Pathology While Enabling Cohort-Level Analyses
by: Wielenberg, Nanna E., et al.
Published: (2026)

Accelerated Proton Resonance Frequency-based Magnetic Resonance Thermometry by Optimized Deep Learning Method
by: Xu, Sijie, et al.
Published: (2024)

RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation
by: Chaubey, Gyanendra, et al.
Published: (2024)

Impact of cone‐beam computed tomography artifacts on dose calculation accuracy for lung cancer
by: Lukas Schröder, et al.
Published: (2024)

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

Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports
by: Lee, Yeawon, et al.
Published: (2025)

MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach
by: Herold, Alexander, 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)

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

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma
by: Yang, Bohan, 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)

What is Implementation Science; and Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging
by: Fayaz-Bakhsh, Ahmad, et al.
Published: (2025)