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Non-invasive assessment of NAFLD as systemic disease—A machine learning perspective
Canbay, Ali, Kälsch, Julia, Neumann, Ursula, Rau, Monika, Hohenester, Simon, Baba, Hideo A., Rust, Christian, Geier, Andreas, Heider, Dominik, Sowa, Jan-Peter
Published in PloS one (26.03.2019)
Published in PloS one (26.03.2019)
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Journal Article
Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images
Alrowais, Fadwa, Alqahtani, Mohammed, Khan, Jahangir, Miled, Achraf Ben, Albalawneh, Da’ad, Alkharashi, Abdulwhab, Al Zanin, Samah, Marzouk, Radwa
Published in Scientific reports (10.04.2025)
Published in Scientific reports (10.04.2025)
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Journal Article
Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images
Marchetti, Michael A., Codella, Noel C.F., Dusza, Stephen W., Gutman, David A., Helba, Brian, Kalloo, Aadi, Mishra, Nabin, Carrera, Cristina, Celebi, M. Emre, DeFazio, Jennifer L., Jaimes, Natalia, Marghoob, Ashfaq A., Quigley, Elizabeth, Scope, Alon, Yélamos, Oriol, Halpern, Allan C.
Published in Journal of the American Academy of Dermatology (01.02.2018)
Published in Journal of the American Academy of Dermatology (01.02.2018)
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Journal Article
Canadian Spine SocietyCPSS-1. Abstract ID 108. Radiographic reporting in adolescent idiopathic scoliosis: Is there a discrepancy between radiologists’ reports and surgeons’ assessments?CPSS-2. Abstract ID 21. Pediatric posterior spinal deformity correction: 30-day postoperative infection rate and risk factorsCPSS-3. Abstract ID 17. “Ultra-low dose” computed tomography without sedation is feasible and should be considered as part of the preoperative optimization pathway in paediatric patients wit: 23rd Annual Scientific Conference, Wednesday, March 1 – Saturday, March 4, Fairmont Le Château Frontenac, Québec, Que., Canada
Birk, Manjot, Chan, Vivien, Yee, Nicholas J., Dimentberg, Evan, Wenghofer, Jessica, Duarte, Matias Pereira, Gholamian, Tara, Yoon, Samuel, Nallet, Jérémie Arthur, Dermott, Jennifer A., Wang, Zhi, Rizkallah, Maroun, Alavi, Fatemeh, Cadieux, Chloe, Cherry, Ahmed, Beange, Kristen, Manoharan, Ragavan, Nasrabadi, Ali Asghar Mohammadi, Walker, Taryn, Herrington, Brandon J., Urquhart, Jennifer, Yang, Michael M. H., Cadieux, Chloe N., Xu, Mark, El-Mughayyar, Dana, Baisamy, Victor, Lung, Tiffany, Crawford, Eric J., Bond, Michael, Bartolozzi, Arthur R., Versteeg, Anne L., MacLean, Mark A., Correale, Marcia Rebecca, Malic, Claudia Cristina, Sarraj, Mohamed, Malhotra, Armaan K., Brittain, Kennedy C.M., Dvorak, Marcel F., Sandarage, Ryan V., Hachem, Laureen D., Shakil, Husain, Rotem-Kohavi, Naama, Dandurand, Charlotte, Greene, Ryan, Leck, Erika, Fernandes, Renan Rodrigues, Evaniew, Nathan, St-Laurent-Lebeux, Loïc, Laflamme, Mathieu, Bak, Alex B., Silva, Yan Gabriel Morais David, Adams, Tyler, Hillier, Troy, Soroceanu, Alex, Ben-Israel, David, Srikandarajah, Nisaharan, Yang, Michael M.H., Silva, Yan, McDonald, James, Althagafi, Alwalaa, Rizzuto, Michael A., Varshney, Vishal P., Elkaim, Lior M., Raj, Aditya, Stratton, Alexandra, Spanninga, Barend, Bailey, Chris S., Levett, Jordan J., Cunningham, Erin, Werier, Joel, Nagata, Kosei, Bonello, John-Peter, Lee, Nathan J., Freire-Archer, Millaray, Bharadwaj, Lalita, Bissonnette, Vincent, Muddaluru, Varun S., Christie, Sean D., Alhawsawi, Mamdoh, Bhatt, Fenil R., Oppermann, Marcelo, Jung, Youngkyung, Koucheki, Robert, Dhawan, Alaina, Orosz, Lindsay D., Ridha, Barzany B., Byers, Elizabeth, Singh, Manmohan, Lawrence, Peyton Lloyd, Bednar, Drew A., Raj, Ruheksh, Chaves, Jennyfer Paulla Galdino, Sidhu, Kara, Filezio, Marina Rosa, Singh, Vishwajeet, Ferri-de-Barros, Fabio, Shumilak, Geoffrey, Nataraj, Andrew, Langston, Holly, Iorio, Carlo
Published in Canadian journal of surgery (11.08.2023)
Published in Canadian journal of surgery (11.08.2023)
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Journal Article
Seizure detection using wearable sensors and machine learning: Setting a benchmark
Tang, Jianbin, El Atrache, Rima, Yu, Shuang, Asif, Umar, Jackson, Michele, Roy, Subhrajit, Mirmomeni, Mahtab, Cantley, Sarah, Sheehan, Theodore, Schubach, Sarah, Ufongene, Claire, Vieluf, Solveig, Meisel, Christian, Harrer, Stefan, Loddenkemper, Tobias
Published in Epilepsia (Copenhagen) (01.08.2021)
Published in Epilepsia (Copenhagen) (01.08.2021)
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Journal Article
Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients
Chowdhury, Nakib Hayat, Reaz, Mamun Bin Ibne, Haque, Fahmida, Ahmad, Shamim, Ali, Sawal Hamid Md, A Bakar, Ahmad Ashrif, Bhuiyan, Mohammad Arif Sobhan
Published in Diagnostics (Basel) (03.12.2021)
Published in Diagnostics (Basel) (03.12.2021)
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Journal Article
A deep learning–machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors
Liu, Renyi, Pan, Derun, Xu, Yuan, Zeng, Hui, He, Zilong, Lin, Jiongbin, Zeng, Weixiong, Wu, Zeqi, Luo, Zhendong, Qin, Genggeng, Chen, Weiguo
Published in European radiology (01.02.2022)
Published in European radiology (01.02.2022)
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Journal Article
Machine learning methods to predict 30-day hospital readmission outcome among US adults with pneumonia: analysis of the national readmission database
Huang, Yinan, Talwar, Ashna, Lin, Ying, Aparasu, Rajender R.
Published in BMC medical informatics and decision making (09.11.2022)
Published in BMC medical informatics and decision making (09.11.2022)
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Journal Article
Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers’ Health Examination Data
Heo, Seok-Jae, Kim, Yangwook, Yun, Sehyun, Lim, Sung-Shil, Kim, Jihyun, Nam, Chung-Mo, Park, Eun-Cheol, Jung, Inkyung, Yoon, Jin-Ha
Published in International journal of environmental research and public health (16.01.2019)
Published in International journal of environmental research and public health (16.01.2019)
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Journal Article
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes
Betzler, Bjorn Kaijun, Chee, Evelyn Yi Lyn, He, Feng, Lim, Cynthia Ciwei, Ho, Jinyi, Hamzah, Haslina, Tan, Ngiap Chuan, Liew, Gerald, McKay, Gareth J, Hogg, Ruth E, Young, Ian S, Cheng, Ching-Yu, Lim, Su Chi, Lee, Aaron Y, Wong, Tien Yin, Lee, Mong Li, Hsu, Wynne, Tan, Gavin Siew Wei, Sabanayagam, Charumathi
Published in Journal of the American Medical Informatics Association : JAMIA (17.11.2023)
Published in Journal of the American Medical Informatics Association : JAMIA (17.11.2023)
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Journal Article
Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study
Sodhi, Simrat K., Pereira, Austin, Oakley, Jonathan D., Golding, John, Trimboli, Carmelina, Russakoff, Daniel B., Choudhry, Netan
Published in PloS one (14.02.2022)
Published in PloS one (14.02.2022)
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Journal Article
Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population‐based observational study
Syleouni, Maria‐Eleni, Karavasiloglou, Nena, Manduchi, Laura, Wanner, Miriam, Korol, Dimitri, Ortelli, Laura, Bordoni, Andrea, Rohrmann, Sabine
Published in International journal of cancer (01.09.2023)
Published in International journal of cancer (01.09.2023)
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Journal Article
Performance comparison of artificial neural networks learning algorithms and activation functions in predicting severity of autism
Chand, Yamini, Alam, Md. Afroz, Tejaswini, Y. R. S. N.
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (01.12.2015)
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (01.12.2015)
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Journal Article