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ORCIDDaniel S. Berman
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- affiliation: Cedars-Sinai Medical Center, Department of Imaging
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2020 – today
- 2024
[j8]Robert J. H. Miller, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley
, Bryan P. Bednarski, Serge D. Van Kriekinge, Paul Kavanagh, Attila Feher, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Valerie Builoff, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. npj Digit. Medicine 7(1) (2024)- 2023
- [j7]Konrad Pieszko, Aakash D. Shanbhag, Ananya Singh, M. Timothy Hauser, Robert J. H. Miller, Joanna X. Liang, Manish Motwani, Jacek Kwiecinski, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. npj Digit. Medicine 6 (2023) - [c24]Bryan P. Bednarski, Aakash D. Shanbhag, Ananya Singh, Robert J. H. Miller, Heidi Gransar, Keiichiro Kuronuma, Tali Sharir, Sharmila Dorbala, Marcelo Di Carli, Matthews B. Fish, Terrence D. Ruddy, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction. Image Processing 2023 - [c23]Nipun Manral, Andrew Lin, Caroline Park, Priscilla McElhinney, Aditya Killekar, Hidenari Matsumoto, Jacek Kwiecinski, Konrad Pieszko, Aryabod Razipour, Kajetan Grodecki, Mhairi Doris, Alan C. Kwan, Donghee Han, Keiichiro Kuronuma, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash D. Shanbhag, Markus Goeller, Mohamed Marwan, Sebastien Cadet, Stephen Achenbach, Stephen J. Nicholls, Dennis T. Wong, Daniel S. Berman, Marc R. Dweck, David E. Newby, Michelle C. Williams, Piotr J. Slomka, Damini Dey:
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. Image Processing 2023 - [c22]Aakash D. Shanbhag, Konrad Pieszko, Robert J. H. Miller, Aditya Killekar, Waechter Parker, Heidi Gransar, Michelle Williams, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT. Image Processing 2023 - 2022
- [j6]Anna L. Buczak, Benjamin D. Baugher, Christine S. Martin, Meg W. Keiley-Listermann, James Howard, Nathan H. Parrish, Anton Q. Stalick, Daniel S. Berman, Mark Dredze:
Crystal Cube: Forecasting Disruptive Events. Appl. Artif. Intell. 36(1) (2022) - [j5]Richard Ríos, Robert J. H. Miller, Nipun Manral, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Serge D. Van Kriekinge, Paul Kavanagh, Tejas Parekh, Joanna X. Liang, Damini Dey, Daniel S. Berman, Piotr J. Slomka:
Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry. Comput. Biol. Medicine 145: 105449 (2022) - [c21]Konrad Pieszko, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley, Yuka Otaki, Serge D. Van Kriekinge, Paul Kavanagh, Robert J. H. Miller, Edward J. Miller, Timothy M. Bateman, Damini Dey, Daniel S. Berman, Piotr J. Slomka:
Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks. Image Processing 2022 - 2020
- [i1]Daniel S. Berman, Craig Howser, Thomas Mehoke, Jared D. Evans:
MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations. CoRR abs/2008.11790 (2020)
2010 – 2019
- 2019
- [j4]Daniel S. Berman, Anna L. Buczak, Jeffrey S. Chavis, Cherita L. Corbett:
A Survey of Deep Learning Methods for Cyber Security. Inf. 10(4): 122 (2019) - [j3]Daniel S. Berman:
DGA CapsNet: 1D Application of Capsule Networks to DGA Detection. Inf. 10(5): 157 (2019) - [c20]Youngtaek Hong, Frederic Commandeur, Sebastien Cadet, Markus Goeller, Mhairi Doris, Xi Chen, Jacek Kwiecinski, Daniel S. Berman, Piotr J. Slomka, Hyuk-Jae Chang, Damini Dey:
Deep learning-based stenosis quantification from coronary CT angiography. Image Processing 2019: 109492I - 2018
- [j2]Frederic Commandeur, Markus Goeller, Julián Betancur, Sebastien Cadet, Mhairi Doris, Xi Chen, Daniel S. Berman, Piotr J. Slomka, Balaji Tamarappoo, Damini Dey:
Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT. IEEE Trans. Medical Imaging 37(8): 1835-1846 (2018) - 2017
- [c19]Anna L. Buczak, Daniel S. Berman, Sean W. Yen, Lanier A. Watkins, Lien T. Duong, Jeffrey S. Chavis:
Using sequential pattern mining for common event format (CEF) cyber data. CISRC 2017: 2:1-2:4 - 2016
- [c18]Mathieu Rubeaux, Nikhil Joshi, Marc R. Dweck, Alison Fletcher, Manish Motwani, Louise E. Thomson, Guido Germano, Damini Dey, Daniel S. Berman, David E. Newby, Piotr J. Slomka:
Demons versus level-set motion registration for coronary 18F-sodium fluoride PET. Image Processing 2016: 97843Y - [c17]Ivana Isgum, Bob D. de Vos, Jelmer M. Wolterink, Damini Dey, Daniel S. Berman, Mathieu Rubeaux, Tim Leiner, Piotr J. Slomka:
Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs. Image Processing 2016: 978405 - 2015
- [c16]Xiaowei Ding, Piotr J. Slomka, Mariana Diaz-Zamudio, Guido Germano, Daniel S. Berman, Demetri Terzopoulos, Damini Dey:
Automated coronary artery calcium scoring from non-contrast CT using a patient-specific algorithm. Image Processing 2015: 94132U - [c15]Xiaowei Ding, Jianing Pang, Zhou Ren, Mariana Diaz-Zamudio, Daniel S. Berman, Debiao Li, Demetri Terzopoulos, Piotr J. Slomka, Damini Dey:
Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography. MIUA 2015: 80-85 - 2014
- [c14]Xiaowei Ding, Demetri Terzopoulos, Mariana Diaz-Zamudio, Daniel S. Berman, Piotr J. Slomka, Damini Dey:
Automated epicardial fat volume quantification from non-contrast CT. Image Processing 2014: 90340I - 2013
- [j1]Olga C. Avila-Montes, Uday Kurkure, Ryo Nakazato, Daniel S. Berman, Damini Dey, Ioannis A. Kakadiaris:
Segmentation of the Thoracic Aorta in Noncontrast Cardiac CT Images. IEEE J. Biomed. Health Informatics 17(5): 936-949 (2013) - [c13]Sharath Gopal, Yuka Otaki, Reza Arsanjani, Daniel S. Berman, Demetri Terzopoulos, Piotr J. Slomka:
Combining active appearance and deformable superquadric models for LV segmentation in cardiac MRI. Image Processing 2013: 86690G - [c12]Dongwoo Kang, Piotr J. Slomka, Ryo Nakazato, Jonghye Woo, Daniel S. Berman, C.-C. Jay Kuo, Damini Dey:
Image denoising of low-radiation dose coronary CT angiography by an adaptive block-matching 3D algorithm. Image Processing 2013: 86692G - 2012
- [c11]Piotr J. Slomka, Reza Arsanjani, Yuan Xu, Daniel S. Berman, Guido Germano:
Quantitative analysis of myocardial perfusion images. APSIPA 2012: 1-9 - [c10]Shahryar Karimi-Ashtiani, Reza Arsanjani, Mathews Fish, Daniel S. Berman, Paul Kavanagh, Guido Germano, Piotr J. Slomka:
Automated detection of contractile abnormalities from stress-rest motion changes. Computer-Aided Diagnosis 2012: 83152G - [c9]Jonghye Woo, Piotr J. Slomka, Ryo Nakazato, Balaji Tamarappoo, James K. Min, Guido Germano, Daniel S. Berman, Damini Dey:
Feasibility of determining myocardial transient ischemic dilation from cardiac CT by automated stress/rest registration. Image Processing 2012: 83140G - [c8]Dongwoo Kang, Piotr J. Slomka, Ryo Nakazato, Victor Cheng, James K. Min, Debiao Li, Daniel S. Berman, C.-C. Jay Kuo, Damini Dey:
Automatic detection of significant and subtle arterial lesions from coronary CT angiography. Image Processing 2012: 831435 - 2011
- [c7]Olga C. Avila-Montes, Uday Kurkure, Ryo Nakazato, Daniel S. Berman, Damini Dey, Ioannis A. Kakadiaris:
Cascaded regression for CT slice localization. ISBI 2011: 1881-1884 - 2010
- [c6]Raja P. Yalamanchili, Deepak Roy Chittajallu, Paul Balanca, Balaji Tamarappoo, Daniel S. Berman, Damini Dey, Ioannis A. Kakadiaris:
Automatic segmentation of the diaphragm in non-contrast CT images. ISBI 2010: 900-903 - [c5]Raja P. Yalamanchili, Damini Dey, Uday Kurkure, Ryo Nakazato, Daniel S. Berman, Ioannis A. Kakadiaris:
Knowledge-based quantification of pericardial fat in non-contrast CT data. Image Processing 2010: 76231X - [c4]Damini Dey, Amit Ramesh, Piotr J. Slomka, Ryo Nakazato, Victor Cheng, Guido Germano, Daniel S. Berman:
Automated algorithm for atlas-based segmentation of the heart and pericardium from non-contrast CT. Image Processing 2010: 762337
2000 – 2009
- 2009
- [c3]Jonghye Woo, Piotr J. Slomka, Damini Dey, Victor Cheng, Amit Ramesh, Byung-Woo Hong, Daniel S. Berman, C.-C. Jay Kuo, Guido Germano:
Automated Multi-Modality Registration of 64-Slice Coronary CT Angiography with Myocardial Perfusion Spect. ISBI 2009: 358-361 - [c2]Mithun Prasad, Amit Ramesh, Paul Kavanagh, James Gerlach, Guido Germano, Daniel S. Berman, Piotr J. Slomka:
Myocardial wall thickening from gated magnetic resonance images using Laplace's equation. Computer-Aided Diagnosis 2009: 72602I - [c1]Jonghye Woo, Byung-Woo Hong, Damini Dey, Victor Cheng, Amit Ramesh, Ganesh Sundaramoorthi, C.-C. Jay Kuo, Daniel S. Berman, Guido Germano, Piotr J. Slomka:
Feature-based non-rigid volume registration of serial coronary CT angiography. Image Processing 2009: 72590R
Coauthor Index
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last updated on 2024-12-10 20:52 CET by the dblp team
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