Daniel S. Berman

Orcid: 0000-0002-3793-9578

Affiliations:
  • Cedars-Sinai Medical Center, Department of Imaging


According to our database1, Daniel S. Berman authored at least 33 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging.
npj Digit. Medicine, 2024

2023
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging.
npj Digit. Medicine, 2023

Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022
Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry.
Comput. Biol. Medicine, 2022

Crystal Cube: Forecasting Disruptive Events.
Appl. Artif. Intell., 2022

Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2020
MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations.
CoRR, 2020

2019
A Survey of Deep Learning Methods for Cyber Security.
Inf., 2019

DGA CapsNet: 1D Application of Capsule Networks to DGA Detection.
Inf., 2019

Deep learning-based stenosis quantification from coronary CT angiography.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018
Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT.
IEEE Trans. Medical Imaging, 2018

2017
Using sequential pattern mining for common event format (CEF) cyber data.
Proceedings of the 12th Annual Conference on Cyber and Information Security Research, 2017

2016
Demons versus level-set motion registration for coronary 18F-sodium fluoride PET.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015
Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography.
Proceedings of the Medical Image Understanding and Analysis, 2015

Automated coronary artery calcium scoring from non-contrast CT using a patient-specific algorithm.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014
Automated epicardial fat volume quantification from non-contrast CT.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

2013
Segmentation of the Thoracic Aorta in Noncontrast Cardiac CT Images.
IEEE J. Biomed. Health Informatics, 2013

Image denoising of low-radiation dose coronary CT angiography by an adaptive block-matching 3D algorithm.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Combining active appearance and deformable superquadric models for LV segmentation in cardiac MRI.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

2012
Feasibility of determining myocardial transient ischemic dilation from cardiac CT by automated stress/rest registration.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Automatic detection of significant and subtle arterial lesions from coronary CT angiography.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Automated detection of contractile abnormalities from stress-rest motion changes.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Quantitative analysis of myocardial perfusion images.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011
Cascaded regression for CT slice localization.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Knowledge-based quantification of pericardial fat in non-contrast CT data.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Automated algorithm for atlas-based segmentation of the heart and pericardium from non-contrast CT.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Automatic segmentation of the diaphragm in non-contrast CT images.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Feature-based non-rigid volume registration of serial coronary CT angiography.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Myocardial wall thickening from gated magnetic resonance images using Laplace's equation.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Automated Multi-Modality Registration of 64-Slice Coronary CT Angiography with Myocardial Perfusion Spect.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009


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