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Literature DB >> 30603186

Machine learning in biomedical engineering.

Cheolsoo Park¹, Clive Cheong Took², Joon-Kyung Seong³.

Abstract

Year: 2018 PMID： 30603186 PMCID： PMC6208556 DOI： 10.1007/s13534-018-0058-3

Source DB: PubMed Journal: Biomed Eng Lett ISSN： 2093-9868

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Cited

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11 in total

1. Generation of PET Attenuation Map for Whole-Body Time-of-Flight ¹⁸F-FDG PET/MRI Using a Deep Neural Network Trained with Simultaneously Reconstructed Activity and Attenuation Maps.

Authors: Donghwi Hwang; Seung Kwan Kang; Kyeong Yun Kim; Seongho Seo; Jin Chul Paeng; Dong Soo Lee; Jae Sung Lee
Journal: J Nucl Med Date: 2019-01-25 Impact factor: 10.057

2. The orbitofrontal cortex functionally links obesity and white matter hyperintensities.

Authors: Bo-Yong Park; Kyoungseob Byeon; Mi Ji Lee; Se-Hong Kim; Hyunjin Park
Journal: Sci Rep Date: 2020-02-19 Impact factor: 4.379

3. Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs.

Authors: Ki-Sun Lee; Seok-Ki Jung; Jae-Jun Ryu; Sang-Wan Shin; Jinwook Choi
Journal: J Clin Med Date: 2020-02-01 Impact factor: 4.241

4. Correlating in vitro performance with physico-chemical characteristics of nanofibrous scaffolds for skin tissue engineering using supervised machine learning algorithms.

Authors: Lakshmi Y Sujeeun; Nowsheen Goonoo; Honita Ramphul; Itisha Chummun; Fanny Gimié; Shakuntala Baichoo; Archana Bhaw-Luximon
Journal: R Soc Open Sci Date: 2020-12-23 Impact factor: 2.963

5. Development and Validation of a Machine Learning Model to Predict Near-Term Risk of Iatrogenic Hypoglycemia in Hospitalized Patients.

Authors: Nestoras N Mathioudakis; Mohammed S Abusamaan; Ahmed F Shakarchi; Sam Sokolinsky; Shamil Fayzullin; John McGready; Mihail Zilbermint; Suchi Saria; Sherita Hill Golden
Journal: JAMA Netw Open Date: 2021-01-04

Machine learning in biomedical engineering.

1. Generation of PET Attenuation Map for Whole-Body Time-of-Flight ¹⁸F-FDG PET/MRI Using a Deep Neural Network Trained with Simultaneously Reconstructed Activity and Attenuation Maps.

2. The orbitofrontal cortex functionally links obesity and white matter hyperintensities.

3. Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs.

4. Correlating in vitro performance with physico-chemical characteristics of nanofibrous scaffolds for skin tissue engineering using supervised machine learning algorithms.

5. Development and Validation of a Machine Learning Model to Predict Near-Term Risk of Iatrogenic Hypoglycemia in Hospitalized Patients.

Review 6. Advances in Hybrid Fabrication toward Hierarchical Tissue Constructs.

7. Identifying substance use risk based on deep neural networks and Instagram social media data.

Review 8. Angiogenesis in Tissue Engineering: As Nature Intended?

9. Whole-brain functional connectivity correlates of obesity phenotypes.

10. A deep learning algorithm for automated measurement of vertebral body compression from X-ray images.