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D M Anisuzzaman

Showing results (1-10 of 14) with videos related to

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Mayo Clinic Proceedings. Digital Health|April 10, 2025
Fine-Tuning Large Language Models for Specialized Use CasesD M Anisuzzaman, Jeffrey G Malins, Paul A Friedman, et al.
Computers in Biology and Medicine|June 14, 2021
Multiclass wound image classification using an ensemble deep CNN-based classifierBehrouz Rostami, D M Anisuzzaman, Chuanbo Wang, et al.
Scientific Reports|November 22, 2022
Multi-modal wound classification using wound image and location by deep neural networkD M Anisuzzaman, Yash Patel, Behrouz Rostami, et al.
Accident; Analysis and Prevention|June 14, 2021
Identification and analysis of misclassified work-zone crashes using text mining techniquesMd Abu Sayed, Xiao Qin, Rohit J Kate, et al.
Advances in Wound Care|September 21, 2021
Image-Based Artificial Intelligence in Wound Assessment: A Systematic ReviewD M Anisuzzaman, Chuanbo Wang, Behrouz Rostami, et al.
Journal of Biomedical Informatics|December 17, 2021
Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networksFarnaz H Foomani, D M Anisuzzaman, Jeffrey Niezgoda, et al.
Scientific Reports|December 15, 2020
Fully automatic wound segmentation with deep convolutional neural networksChuanbo Wang, D M Anisuzzaman, Victor Williamson, et al.
ESC Heart Failure|April 29, 2025
Acoustic features are independently associated with heart failure and pulmonary hypertensionJaskanwal Deep S Sara, Keiko Ishikawa, Yan Li, et al.
European Heart Journal. Digital Health|May 22, 2024
Artificial intelligence-based classification of echocardiographic viewsJwan A Naser, Eunjung Lee, Sorin V Pislaru, et al.
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac UltrasoundD M Anisuzzaman, Jeffrey G Malins, John I Jackson, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Fine-Tuning Large Language Models for Specialized Use CasesD M Anisuzzaman, Jeffrey G Malins, Paul A Friedman, et al.
Computers in Biology and Medicine|June 14, 2021
Multiclass wound image classification using an ensemble deep CNN-based classifierBehrouz Rostami, D M Anisuzzaman, Chuanbo Wang, et al.
Scientific Reports|November 22, 2022
Multi-modal wound classification using wound image and location by deep neural networkD M Anisuzzaman, Yash Patel, Behrouz Rostami, et al.
Accident; Analysis and Prevention|June 14, 2021
Identification and analysis of misclassified work-zone crashes using text mining techniquesMd Abu Sayed, Xiao Qin, Rohit J Kate, et al.
Advances in Wound Care|September 21, 2021
Image-Based Artificial Intelligence in Wound Assessment: A Systematic ReviewD M Anisuzzaman, Chuanbo Wang, Behrouz Rostami, et al.
Journal of Biomedical Informatics|December 17, 2021
Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networksFarnaz H Foomani, D M Anisuzzaman, Jeffrey Niezgoda, et al.
Scientific Reports|December 15, 2020
Fully automatic wound segmentation with deep convolutional neural networksChuanbo Wang, D M Anisuzzaman, Victor Williamson, et al.
ESC Heart Failure|April 29, 2025
Acoustic features are independently associated with heart failure and pulmonary hypertensionJaskanwal Deep S Sara, Keiko Ishikawa, Yan Li, et al.
European Heart Journal. Digital Health|May 22, 2024
Artificial intelligence-based classification of echocardiographic viewsJwan A Naser, Eunjung Lee, Sorin V Pislaru, et al.
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac UltrasoundD M Anisuzzaman, Jeffrey G Malins, John I Jackson, et al.
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