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Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography
Kasim, Sazzli, Tang, Junjie, Malek, Sorayya, Ibrahim, Khairul Shafiq, Shariff, Raja Ezman Raja, Chima, Jesvinna Kaur
Published in PloS one (12.09.2024)
Published in PloS one (12.09.2024)
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Journal Article
Application of machine learning algorithms for multiparametric MRI-based evaluation of murine colitis
Ellmann, Stephan, Langer, Victoria, Britzen-Laurent, Nathalie, Hildner, Kai, Huber, Carina, Tripal, Philipp, Seyler, Lisa, Waldner, Maximilian, Uder, Michael, Stürzl, Michael, Bäuerle, Tobias
Published in PloS one (26.10.2018)
Published in PloS one (26.10.2018)
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Journal Article
Machine-learning algorithm incorporating capacitated sperm intracellular pH predicts conventional in vitro fertilization success in normospermic patients
Gunderson, Stephanie Jean, Puga Molina, Lis Carmen, Spies, Nicholas, Balestrini, Paula Ania, Buffone, Mariano Gabriel, Jungheim, Emily Susan, Riley, Joan, Santi, Celia Maria
Published in Fertility and sterility (01.04.2021)
Published in Fertility and sterility (01.04.2021)
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Journal Article
Enhanced Critical Congenital Cardiac Disease Screening by Combining Interpretable Machine Learning Algorithms
Lai, Zhengfeng, Vadlaputi, Pranjali, Tancredi, Daniel J., Garg, Meena, Koppel, Robert I., Goodman, Mera, Hogan, Whitnee, Cresalia, Nicole, Juergensen, Stephan, Manalo, Erlinda, Lakshminrusimha, Satyan, Chuah, Chen-Nee, Siefkes, Heather
Published in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (01.11.2021)
Published in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (01.11.2021)
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Conference Proceeding
Performance improvement of machine learning techniques predicting the association of exacerbation of peak expiratory flow ratio with short term exposure level to indoor air quality using adult asthmatics clustered data
Bae, Wan D., Kim, Sungroul, Park, Choon-Sik, Alkobaisi, Shayma, Lee, Jongwon, Seo, Wonseok, Park, Jong Sook, Park, Sujung, Lee, Sangwoon, Lee, Jong Wook
Published in PloS one (07.01.2021)
Published in PloS one (07.01.2021)
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Journal Article
Interpretable machine learning for predicting isolated basal septal hypertrophy
Gao, Lei, Tian, Boyan, Jia, Qiqi, He, Xingyu, Zhao, Guannan, Wang, Yueheng
Published in PloS one (30.06.2025)
Published in PloS one (30.06.2025)
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Journal Article
Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation
Hae, Hyeonyong, Kang, Soo-Jin, Kim, Won-Jang, Choi, So-Yeon, Lee, June-Goo, Bae, Youngoh, Cho, Hyungjoo, Yang, Dong Hyun, Kang, Joon-Won, Lim, Tae-Hwan, Lee, Cheol Hyun, Kang, Do-Yoon, Lee, Pil Hyung, Ahn, Jung-Min, Park, Duk-Woo, Lee, Seung-Whan, Kim, Young-Hak, Lee, Cheol Whan, Park, Seong-Wook, Park, Seung-Jung
Published in PLoS medicine (13.11.2018)
Published in PLoS medicine (13.11.2018)
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Journal Article
Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge
Bishop, Jennifer A., Javed, Hamza A., el-Bouri, Rasheed, Zhu, Tingting, Taylor, Thomas, Peto, Tim, Watkinson, Peter, Eyre, David W., Clifton, David A.
Published in PloS one (23.11.2021)
Published in PloS one (23.11.2021)
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Journal Article
Deep learning-based pectoralis muscle volume segmentation method from chest computed tomography image using sagittal range detection and axial slice-based segmentation
Yang, Zepa, Choi, Insung, Choi, Juwhan, Jung, Jongha, Ryu, Minyeong, Yong, Hwan Seok
Published in PloS one (05.09.2023)
Published in PloS one (05.09.2023)
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Journal Article
Clinical assessment of the criticality index – dynamic, a machine learning prediction model of future care needs in pediatric inpatients
Patel, Anita K., Olson, Taylor, Ray, Christopher, Trujillo-Rivera, Eduardo A., Morizono, Hiroki, Pollack, Murray M.
Published in PloS one (30.04.2025)
Published in PloS one (30.04.2025)
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Journal Article
Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters
Omodaka, Kazuko, An, Guangzhou, Tsuda, Satoru, Shiga, Yukihiro, Takada, Naoko, Kikawa, Tsutomu, Takahashi, Hidetoshi, Yokota, Hideo, Akiba, Masahiro, Nakazawa, Toru
Published in PloS one (19.12.2017)
Published in PloS one (19.12.2017)
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Journal Article
Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration
Mu, Emily, Jabbour, Sarah, Dalca, Adrian V., Guttag, John, Wiens, Jenna, Sjoding, Michael W.
Published in PloS one (15.02.2022)
Published in PloS one (15.02.2022)
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Journal Article
Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning
Stuckey, Thomas D., Gammon, Roger S., Goswami, Robi, Depta, Jeremiah P., Steuter, John A., Meine, Frederick J., Roberts, Michael C., Singh, Narendra, Ramchandani, Shyam, Burton, Tim, Grouchy, Paul, Khosousi, Ali, Shadforth, Ian, Sanders, William E.
Published in PloS one (08.08.2018)
Published in PloS one (08.08.2018)
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Journal Article
Machine learning for spatial stratification of progressive cardiovascular dysfunction in a murine model of type 2 diabetes mellitus
Durr, Andrya J., Korol, Anna S., Hathaway, Quincy A., Kunovac, Amina, Taylor, Andrew D., Rizwan, Saira, Pinti, Mark V., Hollander, John M.
Published in PloS one (08.05.2023)
Published in PloS one (08.05.2023)
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Journal Article
Label-free classification of cells based on supervised machine learning of subcellular structures
Ozaki, Yusuke, Yamada, Hidenao, Kikuchi, Hirotoshi, Hirotsu, Amane, Murakami, Tomohiro, Matsumoto, Tomohiro, Kawabata, Toshiki, Hiramatsu, Yoshihiro, Kamiya, Kinji, Yamauchi, Toyohiko, Goto, Kentaro, Ueda, Yukio, Okazaki, Shigetoshi, Kitagawa, Masatoshi, Takeuchi, Hiroya, Konno, Hiroyuki
Published in PloS one (29.01.2019)
Published in PloS one (29.01.2019)
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Journal Article