There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | YING MENG |
| Institution: | Peking University |
| Department: | Health Science Center |
| Country: | |
| Proposed Analysis: | In recent years, there have been more and more researches on the application of machine learning technology to the diagnosis of Alzheimer's disease, but the machine learning algorithms in most of the studies are relatively rudimentary, and have not really explored the high-dimensional features in the data, nor have the image data , text data and structured data are truly integrated into a unified feature expression. My scientific research direction is to diagnose Alzheimer's disease through deep learning technology, and establish a diagnostic decision-making system, especially trying to use multimodal technology, Transformer technology and reinforcement learning technology. |
| Additional Investigators | |
| Investigator's Name: | JUNMING JIAO |
| Proposed Analysis: | In recent years, there have been more and more researches on the application of machine learning technology to the diagnosis of Alzheimer's disease, but the machine learning algorithms in most of the studies are relatively rudimentary, and have not really explored the high-dimensional features in the data, nor have the image data , text data and structured data are truly integrated into a unified feature expression. My scientific research direction is to diagnose Alzheimer's disease through deep learning technology, and establish a diagnostic decision-making system, especially trying to use multimodal technology, Transformer technology and reinforcement learning technology. |
| Investigator's Name: | JUYI QIAO |
| Proposed Analysis: | In recent years, there have been more and more researches on the application of machine learning technology to the diagnosis of Alzheimer's disease, but the machine learning algorithms in most of the studies are relatively rudimentary, and have not really explored the high-dimensional features in the data, nor have the image data , text data and structured data are truly integrated into a unified feature expression. My scientific research direction is to diagnose Alzheimer's disease through deep learning technology, and establish a diagnostic decision-making system, especially trying to use multimodal technology, Transformer technology and reinforcement learning technology. |
| Investigator's Name: | GUOQIANG ZHANG |
| Proposed Analysis: | In recent years, there have been more and more researches on the application of machine learning technology to the diagnosis of Alzheimer's disease, but the machine learning algorithms in most of the studies are relatively rudimentary, and have not really explored the high-dimensional features in the data, nor have the image data , text data and structured data are truly integrated into a unified feature expression. My scientific research direction is to diagnose Alzheimer's disease through deep learning technology, and establish a diagnostic decision-making system, especially trying to use multimodal technology, Transformer technology and reinforcement learning technology. |
| Investigator's Name: | BO WU |
| Proposed Analysis: | In recent years, there have been more and more researches on the application of machine learning technology to the diagnosis of Alzheimer's disease, but the machine learning algorithms in most of the studies are relatively rudimentary, and have not really explored the high-dimensional features in the data, nor have the image data , text data and structured data are truly integrated into a unified feature expression. My scientific research direction is to diagnose Alzheimer's disease through deep learning technology, and establish a diagnostic decision-making system, especially trying to use multimodal technology, Transformer technology and reinforcement learning technology. |
