1)- Sean A P Clouston, Minos Kritikos, Yael Deri, Megan Horton, Alison C Pellecchia, Stephanie Santiago-Michels, Melissa A Carr, Sam Gandy, Mary Sano, Evelyn J Bromet, Roberto G Lucchini, Benjamin J Luft. A cortical thinning signature to identify World Trade Center responders with possible dementia.Intelligence-based medicine. 2021, 5:
2)- Alauddin Bhuiyan, Arun Govindaiah, Avnish Deobhakta, Mohd Hossain, Richard Rosen, Theodore Smith. Automated diabetic retinopathy screening for primary care settings using deep learning.Intelligence-based medicine. 2021, 5:
3)- Jose Francisco Hernández Santa Cruz. An ensemble approach for multi-stage transfer learning models for COVID-19 detection from chest CT scans.Intelligence-based medicine. 2021, 5: 100027
4)- Louis Ehwerhemuepha, Sidy Danioko, Shiva Verma, Rachel Marano, William Feaster, Sharief Taraman, Tatiana Moreno, Jianwei Zheng, Ehsan Yaghmaei, Anthony Chang. A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions.Intelligence-based medicine. 2021, 5: 100030
5)- Adeyinka P Adedigba, Steve A Adeshina, Oluwatomisin E Aina, Abiodun M Aibinu. Optimal hyperparameter selection of deep learning models for COVID-19 chest X-ray classification.Intelligence-based medicine. 2021, 5: 100034
6)- Joseph Ebinger, Matthew Wells, David Ouyang, Tod Davis, Noy Kaufman, Susan Cheng, Sumeet Chugh. A Machine Learning Algorithm Predicts Duration of hospitalization in COVID-19 patients.Intelligence-based medicine. 2021, 5: 100035
7)- Ferhat D Zengul, Ayse G Zengul, Michael J Mugavero, Nurettin Oner, Bunyamin Ozaydin, Dursun Delen, James H Willig, Kierstin C Kennedy, James Cimino. A critical analysis of COVID-19 research literature: Text mining approach.Intelligence-based medicine. 2021, 5: 100036
8)- Manas Ranjan Prusty, Vaibhav Tripathi, Anmol Dubey. A novel data augmentation approach for mask detection using deep transfer learning.Intelligence-based medicine. 2021, 5: 100037