Copertina

Individualizing Glioma Radiotherapy Planning by Optimization of Data and Physics-Informed Discrete Loss

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Balcerak, Michal, Weidner, Jonas, Karnakov, Petr, Ezhov, Ivan, Litvinov, Sergey, Koumoutsakos, Petros, Amiranashvili, Tamaz, Zhang, Ray Zirui, Lowengrub, John S., Wiestler, Bene, Menze, Bjoern
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Medical Physics Numerical Analysis Quantitative Methods
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
di: Balcerak, Michal, et al.
Pubblicazione: (2024)

Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools
di: Karnakov, Petr, et al.
Pubblicazione: (2022)

Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans
di: Zhang, Ray Zirui, et al.
Pubblicazione: (2023)

Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
di: Balcerak, Michal, et al.
Pubblicazione: (2025)

Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss
di: Karnakov, Petr, et al.
Pubblicazione: (2025)

From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging
di: Weidner, Jonas, et al.
Pubblicazione: (2025)

Contactless Precision Steering of Particles in a Fluid inside a Cube with Rotating Walls
di: Amoudruz, Lucas, et al.
Pubblicazione: (2025)

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
di: Prabhakar, Chinmay, et al.
Pubblicazione: (2025)

Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss
di: Amoudruz, Lucas, et al.
Pubblicazione: (2025)

vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
di: Wittmann, Bastian, et al.
Pubblicazione: (2024)

A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration
di: Weidner, Jonas, et al.
Pubblicazione: (2024)

A Learnable Prior Improves Inverse Tumor Growth Modeling
di: Weidner, Jonas, et al.
Pubblicazione: (2024)

PREDICT-GBM: A multi-center platform to advance personalized glioblastoma radiotherapy planning
di: Zimmer, L., et al.
Pubblicazione: (2025)

Optimal navigation of magnetic artificial microswimmers in blood capillaries with deep reinforcement learning
di: Amoudruz, Lucas, et al.
Pubblicazione: (2024)

Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models
di: Haouari, Zeineb, et al.
Pubblicazione: (2025)

Reinforcement Learning Closures for Underresolved Partial Differential Equations using Synthetic Data
di: Heimbach, Lothar, et al.
Pubblicazione: (2025)

Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere
di: Li, Hongwei Bran, et al.
Pubblicazione: (2024)

VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation
di: Prabhakar, Chinmay, et al.
Pubblicazione: (2026)

Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
di: Wittmann, Bastian, et al.
Pubblicazione: (2024)

Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
di: Saketos, Vasileios, et al.
Pubblicazione: (2025)

Data-driven shape inference in three-dimensional steady state supersonic flows using ODIL and JAX-Fluids
di: Buhendwa, Aaron B., et al.
Pubblicazione: (2024)

3D Vessel Graph Generation Using Denoising Diffusion
di: Prabhakar, Chinmay, et al.
Pubblicazione: (2024)

Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning
di: Fischer, Paul, et al.
Pubblicazione: (2025)

Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
di: Balcerak, Michal, et al.
Pubblicazione: (2026)

Inertial Focusing of Spherical Particles: The Effects of Rotational Motion
di: Alexeev, Dmitry, et al.
Pubblicazione: (2024)

Controlling Topological Defects in Polar Fluids via Reinforcement Learning
di: Singh, Abhinav, et al.
Pubblicazione: (2025)

Prediction of Extreme Events in Multiscale Simulations of Geophysical Turbulence using Reinforcement Learning
di: Guan, Yifei, et al.
Pubblicazione: (2026)

Scalable, Cloud-Based Simulations of Blood Flow and Targeted Drug Delivery in Retinal Capillaries
di: Amoudruz, Lucas, et al.
Pubblicazione: (2025)

BiLO: Bilevel Local Operator Learning for PDE Inverse Problems
di: Zhang, Ray Zirui, et al.
Pubblicazione: (2024)

Bayesian BiLO: Bilevel Local Operator Learning for Efficient Uncertainty Quantification of Bayesian PDE Inverse Problems with Low-Rank Adaptation
di: Zhang, Ray Zirui, et al.
Pubblicazione: (2025)

Generative Learning for Forecasting the Dynamics of Complex Systems
di: Gao, Hang, et al.
Pubblicazione: (2025)

Generative Learning for Forecasting the Dynamics of Complex Systems
di: Gao, Han, et al.
Pubblicazione: (2024)

Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows
di: Gao, Han, et al.
Pubblicazione: (2025)

The Volume of Healthy Red Blood Cells is Optimal for Advective Oxygen Transport in Arterioles
di: Amoudruz, Lucas, et al.
Pubblicazione: (2023)

Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations
di: Gao, Han, et al.
Pubblicazione: (2024)

Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems
di: Heidenreich, Hunter S., et al.
Pubblicazione: (2024)

MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models
di: Royer, Corentin, et al.
Pubblicazione: (2024)

Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning
di: von Bassewitz, Jan-Philipp, et al.
Pubblicazione: (2024)

Structure tensor Reynolds-averaged Navier-Stokes turbulence models with equivariant neural networks
di: Miller, Aaron, et al.
Pubblicazione: (2025)

VariViT: A Vision Transformer for Variable Image Sizes
di: Varma, Aswathi, et al.
Pubblicazione: (2026)