:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Melodia, Luciano
Format:	Preprint
Published:	2018
Subjects:	Machine Learning Medical Physics Computation
Online Access:	https://arxiv.org/abs/1805.09108
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Deep Risk Estimator for Known Operator Learning
by: Maier, Andreas, et al.
Published: (2026)

Learning-Based Estimation of Spatially Resolved Scatter Radiation Fields in Interventional Radiology
by: Lehner, Felix, et al.
Published: (2025)

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

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

Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy
by: Kim, Sangwook, et al.
Published: (2024)

Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study
by: Zhang, Jing, et al.
Published: (2025)

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

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

Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data
by: Haidar, Ali, et al.
Published: (2024)

Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy
by: Madondo, Malvern, et al.
Published: (2025)

Deep Learning-based Detection of Bacterial Swarm Motion Using a Single Image
by: Li, Yuzhu, et al.
Published: (2024)

Pixel Super-Resolved Fluorescence Lifetime Imaging Using Deep Learning
by: Costa, Paloma Casteleiro, et al.
Published: (2025)

Automated Treatment Planning for Interstitial HDR Brachytherapy for Locally Advanced Cervical Cancer using Deep Reinforcement Learning
by: Moradi, Mohammadamin, et al.
Published: (2025)

BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet
by: Li, Lingfeng, et al.
Published: (2024)

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

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

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)

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
by: Gao, Qi, et al.
Published: (2023)

Deep learning-enabled virtual multiplexed immunostaining of label-free tissue for vascular invasion assessment
by: Zhang, Yijie, et al.
Published: (2025)

Direct PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model
by: Hashimoto, Fumio, et al.
Published: (2021)

Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising
by: Onishi, Yuya, et al.
Published: (2023)

Deep convolutional framelets for dose reconstruction in BNCT with Compton camera detector
by: Didonna, Angelo, et al.
Published: (2024)

Estimate of the Neural Network Dimension using Algebraic Topology and Lie Theory
by: Melodia, Luciano, et al.
Published: (2020)

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

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

Benchmarking Deep Learning-Based Reconstruction Methods for Photoacoustic Computed Tomography with Clinically Relevant Synthetic Datasets
by: Chen, Panpan, et al.
Published: (2026)

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

Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation
by: Tan, Hai Siong, et al.
Published: (2024)

Deep Learning reconstruction with uncertainty estimation for $γ$ photon interaction in fast scintillator detectors
by: Daniel, Geoffrey, et al.
Published: (2023)

Training-Free Defense Against Adversarial Attacks in Deep Learning MRI Reconstruction
by: Saberi, Mahdi, et al.
Published: (2025)

Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning
by: Eichhorn, Hannah, et al.
Published: (2025)

Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling
by: Selcuk, Sahan Yoruc, et al.
Published: (2024)

Scatter Correction in X-ray CT by Physics-Inspired Deep Learning
by: Iskender, Berk, et al.
Published: (2021)

Automatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate Brachytherapy
by: Wang, Tonghe, et al.
Published: (2025)

A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture
by: Shaik, Anjum, et al.
Published: (2024)

A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck
by: Raggio, Ciro Benito, et al.
Published: (2025)

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

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)

Experimental Validation of Ultrasound Beamforming with End-to-End Deep Learning for Single Plane Wave Imaging
by: Schoop, Ryan A. L., et al.
Published: (2024)

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