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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
Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism
Ghiassian, Sina, Greiner, Russell, Jin, Ping, Brown, Matthew R. G.
Published in PloS one (28.12.2016)
Published in PloS one (28.12.2016)
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Journal Article
An optimized machine learning framework for predicting intradialytic hypotension using indexes of chronic kidney disease-mineral and bone disorders
Yang, Xiao, Zhao, Dong, Yu, Fanhua, Heidari, Ali Asghar, Bano, Yasmeen, Ibrohimov, Alisherjon, Liu, Yi, Cai, Zhennao, Chen, Huiling, Chen, Xumin
Published in Computers in biology and medicine (01.06.2022)
Published in Computers in biology and medicine (01.06.2022)
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Journal Article
Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study
Qureshi, Muhammad Naveed Iqbal, Min, Beomjun, Jo, Hang Joon, Lee, Boreom
Published in PloS one (08.08.2016)
Published in PloS one (08.08.2016)
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Journal Article
Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning
Zha, Hainie, Miao, Yuxin, Wang, Tiantian, Li, Yue, Zhang, Jing, Sun, Weichao, Feng, Zhengqi, Kusnierek, Krzysztof
Published in Remote sensing (Basel, Switzerland) (01.01.2020)
Published in Remote sensing (Basel, Switzerland) (01.01.2020)
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Journal Article
Machine Learning Based Early Diagnosis of ADHD with SHAP Value Interpretation: A Retrospective Observational Study
Zhang, Xinyu, Xiao, Xue, Luo, Yufan, Xiao, Wei, Cao, Yingsi, Chang, Yuanjin, Wu, Dongqin, Xu, Hua, Zhao, Jinlin, Deng, Xianhui, Jiang, Yuanying, Xie, Ruijin, Liu, Yueying
Published in Neuropsychiatric disease and treatment (01.01.2025)
Published in Neuropsychiatric disease and treatment (01.01.2025)
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Journal Article
Predicting the occurrence of surgical site infections using text mining and machine learning
da Silva, Daniel A., ten Caten, Carla S., dos Santos, Rodrigo P., Fogliatto, Flavio S., Hsuan, Juliana
Published in PloS one (13.12.2019)
Published in PloS one (13.12.2019)
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Journal Article
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides
Riasatian, Abtin, Babaie, Morteza, Maleki, Danial, Kalra, Shivam, Valipour, Mojtaba, Hemati, Sobhan, Zaveri, Manit, Safarpoor, Amir, Shafiei, Sobhan, Afshari, Mehdi, Rasoolijaberi, Maral, Sikaroudi, Milad, Adnan, Mohd, Shah, Sultaan, Choi, Charles, Damaskinos, Savvas, Campbell, Clinton JV, Diamandis, Phedias, Pantanowitz, Liron, Kashani, Hany, Ghodsi, Ali, Tizhoosh, H.R.
Published in Medical image analysis (01.05.2021)
Published in Medical image analysis (01.05.2021)
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Journal Article
The blessing of Dimensionality: Feature Selection outperforms functional connectivity-based feature transformation to classify ADHD subjects from EEG patterns of phase synchronisation
Pereda, Ernesto, García-Torres, Miguel, Melián-Batista, Belén, Mañas, Soledad, Méndez, Leopoldo, González, Julián J.
Published in PloS one (16.08.2018)
Published in PloS one (16.08.2018)
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Journal Article
Autism spectrum disorder diagnosis based on deep unrolling-based spatial constraint representation
Lei, Dajiang, Zhang, Tao, Wu, Yue, Li, Weisheng, Li, Xinwei
Published in Medical & biological engineering & computing (01.11.2023)
Published in Medical & biological engineering & computing (01.11.2023)
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Journal Article
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge
Schirmer, Markus D., Venkataraman, Archana, Rekik, Islem, Kim, Minjeong, Mostofsky, Stewart H., Nebel, Mary Beth, Rosch, Keri, Seymour, Karen, Crocetti, Deana, Irzan, Hassna, Hütel, Michael, Ourselin, Sebastien, Marlow, Neil, Melbourne, Andrew, Levchenko, Egor, Zhou, Shuo, Kunda, Mwiza, Lu, Haiping, Dvornek, Nicha C., Zhuang, Juntang, Pinto, Gideon, Samal, Sandip, Zhang, Jennings, Bernal-Rusiel, Jorge L., Pienaar, Rudolph, Chung, Ai Wern
Published in Medical image analysis (01.05.2021)
Published in Medical image analysis (01.05.2021)
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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
Inconsistency in the use of the term “validation” in studies reporting the performance of deep learning algorithms in providing diagnosis from medical imaging
Kim, Dong Wook, Jang, Hye Young, Ko, Yousun, Son, Jung Hee, Kim, Pyeong Hwa, Kim, Seon-Ok, Lim, Joon Seo, Park, Seong Ho
Published in PLOS ONE (11.09.2020)
Published in PLOS ONE (11.09.2020)
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Journal Article
Diagnosing COVID-19 pneumonia from x-ray and CT images using deep learning and transfer learning algorithms
Maghdid, Halgurd S, Asaad, Aras T, Ghafoor, Kayhan Zrar, Sadiq, Ali Safaa, Mirjalili, Seyedali, Khan, Muhammad Khurram
Published in Multimodal Image Exploitation and Learning 2021 (12.04.2021)
Published in Multimodal Image Exploitation and Learning 2021 (12.04.2021)
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Conference Proceeding
Clinical applications of machine learning algorithms: beyond the black box
Watson, David S, Krutzinna, Jenny, Bruce, Ian N, Griffiths, Christopher EM, McInnes, Iain B, Barnes, Michael R, Floridi, Luciano
Published in BMJ (Online) (12.03.2019)
Published in BMJ (Online) (12.03.2019)
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Journal Article