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Showing 1534-1554 of 7,612 articles

Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision.

Computed tomography (CT) provides information for diagnosis, PET attenuation correction (AC), and ra...

Feb 2021 32175868

Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy.

PURPOSE: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint pr...

Feb 2021 33539966

Evaluating Deep Learning models for predicting ALK-5 inhibition.

Computational methods have been widely used in drug design. The recent developments in machine learn...

Jan 2021 33508008

Detecting MLC modeling errors using radiomics-based machine learning in patient-specific QA with an EPID for intensity-modulated radiation therapy.

PURPOSE: We sought to develop machine learning models to detect multileaf collimator (MLC) modeling ...

Jan 2021 33382467

Enhancing digital tomosynthesis (DTS) for lung radiotherapy guidance using patient-specific deep learning model.

Digital tomosynthesis (DTS) has been proposed as a fast low-dose imaging technique for image-guided ...

Jan 2021 33238249

A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging.

Medical ionizing radiation procedures and especially medical imaging are a non negligible source of ...

Jan 2021 33936422

Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia.

Reliable and accurate prediction model capturing the changes in solar radiation is essential in the ...

Jan 2021 33484461

Real-time liver tracking algorithm based on LSTM and SVR networks for use in surface-guided radiation therapy.

BACKGROUND: Surface-guided radiation therapy can be used to continuously monitor a patient's surface...

Jan 2021 33446245

Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images.

As an analytic pipeline for quantitative imaging feature extraction and analysis, radiomics has grow...

Jan 2021 33446870

DaNet: dose-aware network embedded with dose-level estimation for low-dose CT imaging.

Many deep learning (DL)-based image restoration methods for low-dose CT (LDCT) problems directly emp...

Jan 2021 33120378

Performance of deep learning synthetic CTs for MR-only brain radiation therapy.

PURPOSE: To evaluate the dosimetric and image-guided radiation therapy (IGRT) performance of a novel...

Jan 2021 33410568

Lung cancer histology classification from CT images based on radiomics and deep learning models.

Adenocarcinoma (AC) and squamous cell carcinoma (SCC) are frequent reported cases of non-small cell ...

Jan 2021 33411267

Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT.

OBJECTIVES: We evaluated lower dose (LD) hepatic dynamic ultra-high-resolution computed tomography (...

Jan 2021 33389036

Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images.

This study aimed to use computed tomography (CT) images to assess PD-L1 expression in non-small cel...

Jan 2021 33500713

Pure and Hybrid Deep Learning Models can Predict Pathologic Tumor Response to Neoadjuvant Therapy in Pancreatic Adenocarcinoma: A Pilot Study.

BACKGROUND: Neoadjuvant therapy may improve survival of patients with pancreatic adenocarcinoma; how...

Dec 2020 33381979

The minimum-mortality estimated glomerular filtration rate percentile shifts upward in the aged population: a nationwide population-based study.

BACKGROUND: The estimated glomerular filtration rate (eGFR) is a biomarker not only for kidney funct...

Dec 2020 33959265

Oncology/Hematology

Browse Categories

Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision.

Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy.

Evaluating Deep Learning models for predicting ALK-5 inhibition.

Detecting MLC modeling errors using radiomics-based machine learning in patient-specific QA with an EPID for intensity-modulated radiation therapy.

Enhancing digital tomosynthesis (DTS) for lung radiotherapy guidance using patient-specific deep learning model.

A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging.

Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia.

Real-time liver tracking algorithm based on LSTM and SVR networks for use in surface-guided radiation therapy.

Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images.

DaNet: dose-aware network embedded with dose-level estimation for low-dose CT imaging.

Performance of deep learning synthetic CTs for MR-only brain radiation therapy.

Lung cancer histology classification from CT images based on radiomics and deep learning models.

Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT.

Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images.

Pure and Hybrid Deep Learning Models can Predict Pathologic Tumor Response to Neoadjuvant Therapy in Pancreatic Adenocarcinoma: A Pilot Study.

The minimum-mortality estimated glomerular filtration rate percentile shifts upward in the aged population: a nationwide population-based study.

A CT-Based Automated Algorithm for Airway Segmentation Using Freeze-and-Grow Propagation and Deep Learning.

Data-driven dose calculation algorithm based on deep U-Net.

Feasibility of automated planning for whole-brain radiation therapy using deep learning.

A physics-guided modular deep-learning based automated framework for tumor segmentation in PET.

Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study.

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