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Principal Investigator  
Principal Investigator's Name: Stijn Denissen
Institution: Vrije Universiteit Brussel
Department: Medicine and Pharmacy
Country:
Proposed Analysis: Under supervision of my promotors, Prof. Guy Nagels, Prof. Jeroen Van Schependom and Dr. Diana Sima, in collaboration with Prof. Sebastiaan Engelborghs, I would like to use the ADNI dataset for transfer learning purposes, namely to use published deep learning brain age frameworks to convert them to models that can decode cognitive (MMSE) performance.
Additional Investigators  
Investigator's Name: Guy Nagels
Proposed Analysis: Under supervision of my promotors, Prof. Guy Nagels, Prof. Jeroen Van Schependom and Dr. Diana Sima, in collaboration with Prof. Sebastiaan Engelborghs, I would like to use the ADNI dataset for transfer learning purposes, namely to use published deep learning brain age frameworks to convert them to models that can decode cognitive (MMSE) performance.
Investigator's Name: Jeroen Van Schependom
Proposed Analysis: Under supervision of my promotors, Prof. Guy Nagels, Prof. Jeroen Van Schependom and Dr. Diana Sima, in collaboration with Prof. Sebastiaan Engelborghs, I would like to use the ADNI dataset for transfer learning purposes, namely to use published deep learning brain age frameworks to convert them to models that can decode cognitive (MMSE) performance.
Investigator's Name: Diana Sima
Proposed Analysis: Under supervision of my promotors, Prof. Guy Nagels, Prof. Jeroen Van Schependom and Dr. Diana Sima, in collaboration with Prof. Sebastiaan Engelborghs, I would like to use the ADNI dataset for transfer learning purposes, namely to use published deep learning brain age frameworks to convert them to models that can decode cognitive (MMSE) performance.
Investigator's Name: Sebastiaan Engelborghs
Proposed Analysis: Under supervision of my promotors, Prof. Guy Nagels, Prof. Jeroen Van Schependom and Dr. Diana Sima, in collaboration with Prof. Sebastiaan Engelborghs, I would like to use the ADNI dataset for transfer learning purposes, namely to use published deep learning brain age frameworks to convert them to models that can decode cognitive (MMSE) performance.