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Author Details
Full Name
Michael F McNitt-Gray
Affiliation
University of California los angeles
ORCID
Career Start Year
1991
Papers
195
H Index
60
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36254789
Multi-scale, domain knowledge-guided attention + random forest: a two-stage deep learning-based multi-scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images.
Med Phys
2023
36254789
Multi-scale, domain knowledge-guided attention + random forest: a two-stage deep learning-based multi-scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images.
Med Phys
2023
37222565
Target-oriented deep learning-based image registration with individualized test-time adaptation.
Med Phys
2023
37222565
Target-oriented deep learning-based image registration with individualized test-time adaptation.
Med Phys
2023
34757900
Inter-Phase 4D Cardiac MRI Registration With a Motion Prior Derived From CTA.
IEEE Trans Biomed Eng
2022
36211204
Diagnosis and monitoring of systemic sclerosis-associated interstitial lung disease using high-resolution computed tomography.
J Scleroderma Relat Disord
2022
36320561
Local Linearity Analysis of Deep Learning CT Denoising Algorithms.
Proc SPIE Int Soc Opt Eng
2022
34757900
Inter-Phase 4D Cardiac MRI Registration With a Motion Prior Derived From CTA.
IEEE Trans Biomed Eng
2022
36211204
Diagnosis and monitoring of systemic sclerosis-associated interstitial lung disease using high-resolution computed tomography.
J Scleroderma Relat Disord
2022
36320561
Local Linearity Analysis of Deep Learning CT Denoising Algorithms.
Proc SPIE Int Soc Opt Eng
2022
33128259
Reference dataset for benchmarking fetal doses derived from Monte Carlo simulations of CT exams.
Med Phys
2021
33706419
Reproducibility of lung nodule radiomic features: Multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction parameters.
Med Phys
2021
34264825
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.
IEEE Trans Med Imaging
2021
33939253
A comparison of breast and lung doses from chest CT scans using organ-based tube current modulation (OBTCM) vs. Automatic tube current modulation (ATCM).
J Appl Clin Med Phys
2021
33938120
AAPM Medical Physics Practice Guideline 1.b: CT protocol management and review practice guideline.
J Appl Clin Med Phys
2021
34309040
Evaluating Size-Specific Dose Estimate (SSDE) as an estimate of organ doses from routine CT exams derived from Monte Carlo simulations.
Med Phys
2021
33128259
Reference dataset for benchmarking fetal doses derived from Monte Carlo simulations of CT exams.
Med Phys
2021
33706419
Reproducibility of lung nodule radiomic features: Multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction parameters.
Med Phys
2021
33939253
A comparison of breast and lung doses from chest CT scans using organ-based tube current modulation (OBTCM) vs. Automatic tube current modulation (ATCM).
J Appl Clin Med Phys
2021
33938120
AAPM Medical Physics Practice Guideline 1.b: CT protocol management and review practice guideline.
J Appl Clin Med Phys
2021
34264825
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.
IEEE Trans Med Imaging
2021
34309040
Evaluating Size-Specific Dose Estimate (SSDE) as an estimate of organ doses from routine CT exams derived from Monte Carlo simulations.
Med Phys
2021
32548287
Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic Features.
Tomography
2020
32366906
Correction: Therapeutic targeting of Id2 reduces growth of human colorectal carcinoma in the murine liver.
Oncogene
2020
31728683
Correction to: Toward clinically usable CAD for lung cancer screening with computed tomography.
Eur Radiol
2020
32548288
Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets.
Tomography
2020
32548287
Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic Features.
Tomography
2020
31728683
Correction to: Toward clinically usable CAD for lung cancer screening with computed tomography.
Eur Radiol
2020
32366906
Correction: Therapeutic targeting of Id2 reduces growth of human colorectal carcinoma in the murine liver.
Oncogene
2020
32548288
Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets.
Tomography
2020
30565704
Estimating a size-specific dose for helical head CT examinations using Monte Carlo simulation methods.
Med Phys
2019
30351450
Ultra-low-dose CT image denoising using modified BM3D scheme tailored to data statistics.
Med Phys
2019
30426664
Calibration strategies for use of the nanoDot OSLD in CT applications.
J Appl Clin Med Phys
2019
30565704
Estimating a size-specific dose for helical head CT examinations using Monte Carlo simulation methods.
Med Phys
2019
31220358
A convolutional neural network for ultra-low-dose CT denoising and emphysema screening.
Med Phys
2019
30677145
Technical Note: Design and implementation of a high-throughput pipeline for reconstruction and quantitative analysis of CT image data.
Med Phys
2019
31396974
The effects of physics-based data augmentation on the generalizability of deep neural networks: Demonstration on nodule false-positive reduction.
Med Phys
2019
30893477
Estimating fetal dose from tube current-modulated (TCM) and fixed tube current (FTC) abdominal/pelvis CT examinations.
Med Phys
2019
31396974
The effects of physics-based data augmentation on the generalizability of deep neural networks: Demonstration on nodule false-positive reduction.
Med Phys
2019
31220358
A convolutional neural network for ultra-low-dose CT denoising and emphysema screening.
Med Phys
2019
30893477
Estimating fetal dose from tube current-modulated (TCM) and fixed tube current (FTC) abdominal/pelvis CT examinations.
Med Phys
2019
30351450
Ultra-low-dose CT image denoising using modified BM3D scheme tailored to data statistics.
Med Phys
2019
30426664
Calibration strategies for use of the nanoDot OSLD in CT applications.
J Appl Clin Med Phys
2019
30677145
Technical Note: Design and implementation of a high-throughput pipeline for reconstruction and quantitative analysis of CT image data.
Med Phys
2019
29099616
Investigating the minimum scan parameters required to generate free-breathing motion artefact-free fast-helical CT.
Br J Radiol
2018
30118143
Estimating lung, breast, and effective dose from low-dose lung cancer screening CT exams with tube current modulation across a range of patient sizes.
Med Phys
2018
29976491
RECORDS: improved Reporting of montE CarlO RaDiation transport Studies.
Int J Radiat Oncol Biol Phys
2018
29858509
Technical Note: FreeCT_ICD: An open-source implementation of a model-based iterative reconstruction method using coordinate descent optimization for CT imaging investigations.
Med Phys
2018
29894564
Erratum: Semi-automated pulmonary nodule interval segmentation using the NLST data.
Med Phys
2018
29099616
Investigating the minimum scan parameters required to generate free-breathing motion artefact-free fast-helical CT.
Br J Radiol
2018
1 - 50 of 390
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Matthew S Brown
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David Geffen School of Medicine at university of california los angeles
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Zhongshan Hospital, Fudan University
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John Hoffman
University of California los angeles
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Kathleen Brown
David Geffen School of Medicine at university of california los angeles
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Claudia I Henschke
Icahn School of Medicine at Mount Sinai
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Jayashree Kalpathy-Cramer
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Anil K Sood
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