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Publication search results
found 10 matches
- 2019
- Alessio Alexiadis:
Deep multiphysics: Coupling discrete multiphysics with machine learning to attain self-learning in-silico models replicating human physiology. Artif. Intell. Medicine 98: 27-34 (2019) - Alessio Bottrighi, Luca Piovesan, Paolo Terenziani:
Supporting the distributed execution of clinical guidelines by multiple agents. Artif. Intell. Medicine 98: 87-108 (2019) - Bing-Zhong Jing, Tao Zhang, Zixian Wang, Ying Jin, Kuiyuan Liu, Wenze Qiu, Liangru Ke, Ying Sun, Caisheng He, Dan Hou, Linquan Tang, Xing Lv, Chao-Feng Li:
A deep survival analysis method based on ranking. Artif. Intell. Medicine 98: 1-9 (2019) - Haik Kalantarian, Khaled Jedoui, Peter Washington, Qandeel Tariq, Kaiti Dunlap, Jessey N. Schwartz, Dennis P. Wall:
Labeling images with facial emotion and the potential for pediatric healthcare. Artif. Intell. Medicine 98: 77-86 (2019) - Jianying Lin, Hui Chen, Shan Li, Yushuang Liu, Xuan Li, Bin Yu:
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier. Artif. Intell. Medicine 98: 35-47 (2019) - Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo:
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artif. Intell. Medicine 98: 48-58 (2019) - Muhammad Naveed Iqbal Qureshi, Jooyoung Oh, Boreom Lee:
3D-CNN based discrimination of schizophrenia using resting-state fMRI. Artif. Intell. Medicine 98: 10-17 (2019) - Rudresh Deepak Shirwaikar, Dinesh Acharya U., Krishna Moorthi Makkithaya, Surulivelrajan M, Shikhar Srivastava, Leslie Edward S. Lewis U:
Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction. Artif. Intell. Medicine 98: 59-76 (2019) - Tung Tran, Ramakanth Kavuluru:
Distant supervision for treatment relation extraction by leveraging MeSH subheadings. Artif. Intell. Medicine 98: 18-26 (2019) - Ashenafi Zebene Woldaregay, Eirik Årsand, Ståle Walderhaug, David J. Albers, Lena Mamykina, Taxiarchis Botsis, Gunnar Hartvigsen:
Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes. Artif. Intell. Medicine 98: 109-134 (2019)
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