:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dermul, Nathan, Dierckx, Hans
Format:	Preprint
Published:	2026
Subjects:	Medical Physics Machine Learning
Online Access:	https://arxiv.org/abs/2603.03832
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reconstruction of Excitation Waves from Mechanical Deformation using Physics-Informed Neural Networks
by: Dermul, Nathan, et al.
Published: (2024)

MlPET: A Localized Neural Network Approach for Probabilistic Post-Reconstruction PET Image Analysis Using Informed Priors
by: Hansen, Thomas Mejer, et al.
Published: (2026)

Electromechanical Dynamics of the Heart: A Study of Cardiac Hysteresis During Physical Stress Test
by: Karimi, Sajjad, et al.
Published: (2024)

Imaging-Derived Coronary Fractional Flow Reserve: Advances in Physics-Based, Machine Learning, and Physics-Informed Methods
by: Zhu, Tanxin, et al.
Published: (2026)

Application of Spherical Convolutional Neural Networks to Image Reconstruction and Denoising in Nuclear Medicine
by: Hashemi, Amirreza, et al.
Published: (2023)

Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning
by: Finkelstein, Alex, et al.
Published: (2024)

High-fidelity 3D multi-slab diffusion MRI using Slab-shifting for Harmonized 3D Acquisition and Reconstruction with Profile Encoding Networks (SHARPEN)
by: Li, Ziyu, et al.
Published: (2026)

Cross-View Attention Fusion Net: A Prior-Guided Dual-View Representation Learning for Cardiac Output Estimation from Short-Term PPG Signals
by: Zhang, Yaowen, et al.
Published: (2026)

A Multi-Resolution Benchmark Framework for Spatial Reasoning Assessment in Neural Networks
by: Imbriani, Manuela, et al.
Published: (2025)

Prior Frequency Guided Diffusion Model for Limited Angle (LA)-CBCT Reconstruction
by: Xie, Jiacheng, et al.
Published: (2024)

Computed Tomography (CT)-derived Cardiovascular Flow Estimation Using Physics-Informed Neural Networks Improves with Sinogram-based Training: A Simulation Study
by: Guo, Jinyuxuan, et al.
Published: (2025)

PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction
by: Zimmermann, Felix F, et al.
Published: (2023)

Implicit Neural Representations for Speed-of-Sound Estimation in Ultrasound
by: Byra, Michal, et al.
Published: (2024)

Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
by: Shen, Guoyao, et al.
Published: (2023)

Neural networks for the prediction of peel force for skin adhesive interface using FEM simulation
by: Masarkar, Ashish, et al.
Published: (2025)

Fusion of Various Optimization Based Feature Smoothing Methods for Wearable and Non-invasive Blood Glucose Estimation
by: Wei, Yiting, et al.
Published: (2025)

Dual-Correction Physics-Informed Neural Networks for Hemodynamic Reconstruction from Sparse Data
by: Song, Jingtai, et al.
Published: (2026)

List-Mode PET Image Reconstruction Using Deep Image Prior
by: Ote, Kibo, et al.
Published: (2022)

Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations
by: Kuppens, Daan, et al.
Published: (2024)

SIREM: Speech-Informed MRI Reconstruction with Learned Sampling
by: Hasan, Md, et al.
Published: (2026)

Ultrasound Lung Aeration Map via Physics-Aware Neural Operators
by: Wang, Jiayun, et al.
Published: (2025)

ReMiDi: Reconstruction of Microstructure Using a Differentiable Diffusion MRI Simulator
by: Khole, Prathamesh Pradeep, et al.
Published: (2025)

An Advanced Two-Stage Model with High Sensitivity and Generalizability for Prediction of Hip Fracture Risk Using Multiple Datasets
by: Sun, Shuo, et al.
Published: (2025)

Strings, branes and twistons: topological analysis of phase defects in excitable media such as the heart
by: Arno, Louise, et al.
Published: (2024)

Prediction of Local Failure after Stereotactic Radiotherapy in Melanoma Brain Metastases Using Ensemble Learning on Clinical, Dosimetric, and Radiomic Data
by: Hartong, Nanna E., et al.
Published: (2024)

Motion-Informed Deep Learning for Brain MR Image Reconstruction Framework
by: Chen, Zhifeng, et al.
Published: (2024)

SpecReX: Explainable AI for Raman Spectroscopy
by: Blake, Nathan, et al.
Published: (2025)

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm
by: Blumenthal, Moritz, et al.
Published: (2025)

Physics-Informed Deep Unrolled Network for Portable MR Image Reconstruction
by: Ilıcak, Efe, et al.
Published: (2025)

Estimating Task-based Performance Bounds for Accelerated MRI Image Reconstruction Methods by Use of Learned-Ideal Observers
by: Li, Kaiyan, et al.
Published: (2025)

Noninvasive Acute Compartment Syndrome Diagnosis Using Random Forest Machine Learning
by: Hweij, Zaina Abu, et al.
Published: (2024)

Physics-informed Neural Network Estimation of Material Properties in Soft Tissue Nonlinear Biomechanical Models
by: Caforio, Federica, et al.
Published: (2023)

Steerable Conditional Diffusion for Domain Adaptation in PET Image Reconstruction
by: Webber, George, et al.
Published: (2025)

GALDS: A Graph-Autoencoder-based Latent Dynamics Surrogate model to predict neurite material transport
by: Hsieh, Tsung Yeh, et al.
Published: (2025)

Data-driven Synthesis of Magnetic Resonance Spectroscopy Data using a Variational Autoencoder
by: van de Sande, Dennis M. J., et al.
Published: (2026)

DeepLight: A Sobolev-trained Image-to-Image Surrogate Model for Light Transport in Tissue
by: Haim, Philipp, et al.
Published: (2026)

Spatiotemporal Gaussian representation-based dynamic reconstruction and motion estimation framework for time-resolved volumetric MR imaging (DREME-GSMR)
by: Xie, Jiacheng, et al.
Published: (2026)

Uncertainty quantification in neural network-based glucose prediction for diabetes
by: Tan, Hai Siong, et al.
Published: (2026)

Untargeted analysis of volatile markers of post-exercise fat oxidation in exhaled breath
by: Homeyer, André, et al.
Published: (2026)

Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning
by: Karat, Bradley G., et al.
Published: (2026)