Saved in:
| Main Authors: | Masarkar, Ashish, Gupta, Rakesh, Dingari, Naga Neehar, Rai, Beena |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.19855 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncertainty quantification in neural network-based glucose prediction for diabetes
by: Tan, Hai Siong, et al.
Published: (2026)
by: Tan, Hai Siong, et al.
Published: (2026)
Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations
by: Kuppens, Daan, et al.
Published: (2024)
by: Kuppens, Daan, et al.
Published: (2024)
Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction
by: Puttanawarut, Chanon, et al.
Published: (2024)
by: Puttanawarut, Chanon, et al.
Published: (2024)
Implicit Neural Representations for Speed-of-Sound Estimation in Ultrasound
by: Byra, Michal, et al.
Published: (2024)
by: Byra, Michal, et al.
Published: (2024)
Physiological-model-based neural network for modeling the metabolic-heart rate relationship during physical activities
by: Zhang, Yaowen, et al.
Published: (2025)
by: Zhang, Yaowen, et al.
Published: (2025)
Non-Invasive Reconstruction of Cardiac Activation Dynamics Using Physics-Informed Neural Networks
by: Dermul, Nathan, et al.
Published: (2026)
by: Dermul, Nathan, et al.
Published: (2026)
MlPET: A Localized Neural Network Approach for Probabilistic Post-Reconstruction PET Image Analysis Using Informed Priors
by: Hansen, Thomas Mejer, et al.
Published: (2026)
by: Hansen, Thomas Mejer, et al.
Published: (2026)
Automatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate Brachytherapy
by: Wang, Tonghe, et al.
Published: (2025)
by: Wang, Tonghe, 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)
by: van de Sande, Dennis M. J., et al.
Published: (2026)
An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning
by: Hedayati, Eisa, et al.
Published: (2023)
by: Hedayati, Eisa, et al.
Published: (2023)
A Multi-Resolution Benchmark Framework for Spatial Reasoning Assessment in Neural Networks
by: Imbriani, Manuela, et al.
Published: (2025)
by: Imbriani, Manuela, 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)
by: Shaik, Anjum, et al.
Published: (2024)
Automated Treatment Planning for Interstitial HDR Brachytherapy for Locally Advanced Cervical Cancer using Deep Reinforcement Learning
by: Moradi, Mohammadamin, et al.
Published: (2025)
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)
by: Li, Lingfeng, 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)
by: Li, Ziyu, et al.
Published: (2026)
GALDS: A Graph-Autoencoder-based Latent Dynamics Surrogate model to predict neurite material transport
by: Hsieh, Tsung Yeh, et al.
Published: (2025)
by: Hsieh, Tsung Yeh, et al.
Published: (2025)
MedalCare-XL: 16,900 healthy and pathological 12 lead ECGs obtained through electrophysiological simulations
by: Gillette, Karli, et al.
Published: (2022)
by: Gillette, Karli, et al.
Published: (2022)
Scaling convolutional neural networks achieves expert-level seizure detection in neonatal EEG
by: Hogan, Robert, et al.
Published: (2024)
by: Hogan, Robert, et al.
Published: (2024)
Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning
by: Finkelstein, Alex, et al.
Published: (2024)
by: Finkelstein, Alex, et al.
Published: (2024)
Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy
by: Chen, Jingyun, et al.
Published: (2025)
by: Chen, Jingyun, et al.
Published: (2025)
Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data
by: Kerkelä, Leevi, et al.
Published: (2022)
by: Kerkelä, Leevi, et al.
Published: (2022)
WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks
by: Barrientos, Felipe Álvarez, et al.
Published: (2025)
by: Barrientos, Felipe Álvarez, et al.
Published: (2025)
PMB-NN: Physiology-Centred Hybrid AI for Personalized Hemodynamic Monitoring from Photoplethysmography
by: Zhang, Yaowen, et al.
Published: (2025)
by: Zhang, Yaowen, et al.
Published: (2025)
A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
by: Bench, Ciaran, et al.
Published: (2025)
by: Bench, Ciaran, et al.
Published: (2025)
Reproducibility Assessment of Magnetic Resonance Spectroscopy of Pregenual Anterior Cingulate Cortex across Sessions and Vendors via the Cloud Computing Platform CloudBrain-MRS
by: Chen, Runhan, et al.
Published: (2025)
by: Chen, Runhan, et al.
Published: (2025)
Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study
by: Zhang, Jing, et al.
Published: (2025)
by: Zhang, Jing, et al.
Published: (2025)
An artificially intelligent magnetic resonance spectroscopy quantification method: Comparison between QNet and LCModel on the cloud computing platform CloudBrain-MRS
by: Lin, Meijin, et al.
Published: (2025)
by: Lin, Meijin, et al.
Published: (2025)
CNN-BiLSTM for sustainable and non-invasive COVID-19 detection via salivary ATR-FTIR spectroscopy
by: Junior, Anisio P. Santos, et al.
Published: (2025)
by: Junior, Anisio P. Santos, 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)
by: Sun, Shuo, 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)
by: Wei, Yiting, et al.
Published: (2025)
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)
by: Raggio, Ciro Benito, et al.
Published: (2025)
Large-scale automatic carbon ion treatment planning for head and neck cancers via parallel multi-agent reinforcement learning
by: Zhang, Jueye, et al.
Published: (2025)
by: Zhang, Jueye, et al.
Published: (2025)
Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy
by: Madondo, Malvern, et al.
Published: (2025)
by: Madondo, Malvern, et al.
Published: (2025)
Cuffless, calibration-free hemodynamic monitoring with physics-informed machine learning models
by: Crandall, Henry, et al.
Published: (2025)
by: Crandall, Henry, 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)
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)
by: Xie, Jiacheng, et al.
Published: (2026)
MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI
by: Newlin, Nancy R., et al.
Published: (2024)
by: Newlin, Nancy R., 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)
by: Zhu, Tanxin, et al.
Published: (2026)
Screening of BindingDB database ligands against EGFR, HER2, Estrogen, Progesterone and NF-kB receptors based on machine learning and molecular docking
by: Rezaee, Parham, et al.
Published: (2024)
by: Rezaee, Parham, et al.
Published: (2024)
Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data
by: Haidar, Ali, et al.
Published: (2024)
by: Haidar, Ali, et al.
Published: (2024)
Similar Items
-
Uncertainty quantification in neural network-based glucose prediction for diabetes
by: Tan, Hai Siong, et al.
Published: (2026) -
Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations
by: Kuppens, Daan, et al.
Published: (2024) -
Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction
by: Puttanawarut, Chanon, et al.
Published: (2024) -
Implicit Neural Representations for Speed-of-Sound Estimation in Ultrasound
by: Byra, Michal, et al.
Published: (2024) -
Physiological-model-based neural network for modeling the metabolic-heart rate relationship during physical activities
by: Zhang, Yaowen, et al.
Published: (2025)