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A New Deep Learning Algorithm for Detecting Spinal Metastases on Computed Tomography Images
Published in Spine (Philadelphia, Pa. 1976)
(15.03.2024)
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Journal Article
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
Nishio, Mizuho, Nishizawa, Mitsuo, Sugiyama, Osamu, Kojima, Ryosuke, Yakami, Masahiro, Kuroda, Tomohiro, Togashi, Kaori
Published in PloS one (19.04.2018)
Published in PloS one (19.04.2018)
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Journal Article
Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort
Kalia, Sumeet, Saarela, Olli, Chen, Tao, O'Neill, Braden, Meaney, Christopher, Gronsbell, Jessica, Sejdic, Ervin, Escobar, Michael, Aliarzadeh, Babak, Moineddin, Rahim, Pow, Conrad, Sullivan, Frank, Greiver, Michelle
Published in IEEE journal of biomedical and health informatics (01.08.2022)
Published in IEEE journal of biomedical and health informatics (01.08.2022)
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Journal Article
Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records
Zad, Zahra, Jiang, Victoria S., Wolf, Amber T., Wang, Taiyao, Cheng, J. Jojo, Paschalidis, Ioannis Ch, Mahalingaiah, Shruthi
Published in Frontiers in endocrinology (Lausanne) (2024)
Published in Frontiers in endocrinology (Lausanne) (2024)
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Journal Article
Identification and validation of biomarkers in Alzheimer's disease based on machine learning algorithms and single-cell sequencing analysis
Fan, Yun, Wang, XiaoLong, Ling, Yun, Wang, QiuYi, Zhou, XiBin, Li, Kai, Zhou, ChunXiang
Published in Computational biology and chemistry (01.10.2025)
Published in Computational biology and chemistry (01.10.2025)
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Journal Article
Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation
Xia, Tai-Hui, Tan, Man, Li, Jing-Hua, Wang, Jing-Jing, Wu, Qing-Qing, Kong, De-Xing
Published in Chinese medical journal (01.07.2021)
Published in Chinese medical journal (01.07.2021)
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Journal Article
Health-Related Data Analysis Using Metaheuristic Optimization and Machine Learning
Darmawahyuni, Annisa, Nurmaini, Siti, Tutuko, Bambang, Rachmatullah, Muhammad Naufal, Firdaus, Firdaus, Sapitri, Ade Iriani, Islami, Anggun, Marcelino, Jordan, Isdwanta, Rendy, Karim, Muhammad Irfan
Published in IEEE access (2024)
Published in IEEE access (2024)
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Journal Article
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
Wen, Junhao, Thibeau-Sutre, Elina, Diaz-Melo, Mauricio, Samper-González, Jorge, Routier, Alexandre, Bottani, Simona, Dormont, Didier, Durrleman, Stanley, Burgos, Ninon, Colliot, Olivier
Published in Medical image analysis (01.07.2020)
Published in Medical image analysis (01.07.2020)
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Journal Article
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0
Agarwal, Mohit, Agarwal, Sushant, Saba, Luca, Chabert, Gian Luca, Gupta, Suneet, Carriero, Alessandro, Pasche, Alessio, Danna, Pietro, Mehmedovic, Armin, Faa, Gavino, Shrivastava, Saurabh, Jain, Kanishka, Jain, Harsh, Jujaray, Tanay, Singh, Inder M., Turk, Monika, Chadha, Paramjit S., Johri, Amer M., Khanna, Narendra N., Mavrogeni, Sophie, Laird, John R., Sobel, David W., Miner, Martin, Balestrieri, Antonella, Sfikakis, Petros P., Tsoulfas, George, Misra, Durga Prasanna, Agarwal, Vikas, Kitas, George D., Teji, Jagjit S., Al-Maini, Mustafa, Dhanjil, Surinder K., Nicolaides, Andrew, Sharma, Aditya, Rathore, Vijay, Fatemi, Mostafa, Alizad, Azra, Krishnan, Pudukode R., Yadav, Rajanikant R., Nagy, Frence, Kincses, Zsigmond Tamás, Ruzsa, Zoltan, Naidu, Subbaram, Viskovic, Klaudija, Kalra, Manudeep K., Suri, Jasjit S.
Published in Computers in biology and medicine (01.07.2022)
Published in Computers in biology and medicine (01.07.2022)
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Journal Article
Toward a unified framework for interpreting machine-learning models in neuroimaging
Kohoutová, Lada, Heo, Juyeon, Cha, Sungmin, Lee, Sungwoo, Moon, Taesup, Wager, Tor D., Woo, Choong-Wan
Published in Nature protocols (01.04.2020)
Published in Nature protocols (01.04.2020)
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Journal Article
GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer’s disease and frontotemporal dementia using genetic algorithms
García-Gutierrez, Fernando, Díaz-Álvarez, Josefa, Matias-Guiu, Jordi A., Pytel, Vanesa, Matías-Guiu, Jorge, Cabrera-Martín, María Nieves, Ayala, José L.
Published in Medical & biological engineering & computing (01.09.2022)
Published in Medical & biological engineering & computing (01.09.2022)
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Journal Article
Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists
Antonelli, Michela, Johnston, Edward W., Dikaios, Nikolaos, Cheung, King K., Sidhu, Harbir S., Appayya, Mrishta B., Giganti, Francesco, Simmons, Lucy A. M., Freeman, Alex, Allen, Clare, Ahmed, Hashim U., Atkinson, David, Ourselin, Sebastien, Punwani, Shonit
Published in European radiology (01.09.2019)
Published in European radiology (01.09.2019)
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Journal Article
Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy
Hermoso‐Durán, Sonia, Fraunhoffer, Nicolas, Millastre‐Bocos, Judith, Sanchez‐Gracia, Oscar, Garrido, Pablo F., Vega, Sonia, Lanas, Ángel, Iovanna, Juan, Velázquez‐Campoy, Adrián, Abian, Olga
Published in Advanced intelligent systems (01.01.2025)
Published in Advanced intelligent systems (01.01.2025)
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Journal Article
Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations
Dinov, Ivo D., Heavner, Ben, Tang, Ming, Glusman, Gustavo, Chard, Kyle, Darcy, Mike, Madduri, Ravi, Pa, Judy, Spino, Cathie, Kesselman, Carl, Foster, Ian, Deutsch, Eric W., Price, Nathan D., Van Horn, John D., Ames, Joseph, Clark, Kristi, Hood, Leroy, Hampstead, Benjamin M., Dauer, William, Toga, Arthur W.
Published in PloS one (05.08.2016)
Published in PloS one (05.08.2016)
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Journal Article
Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer
Wang, Jing, Wu, Chen-Jiang, Bao, Mei-Ling, Zhang, Jing, Wang, Xiao-Ning, Zhang, Yu-Dong
Published in European radiology (01.10.2017)
Published in European radiology (01.10.2017)
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