Assessing network degeneration and phenotypic heterogeneity in genetic frontotemporal lobar degeneration by decoding FDG-PET von Corriveau-Lecavalier, Nick, Barnard, Leland R., Przybelski, Scott A., Gogineni, Venkatsampath, Botha, Hugo, Graff-Radford, Jonathan, Ramanan, Vijay K., Forsberg, Leah K., Fields, Julie A., Machulda, Mary M., Rademakers, Rosa, Gavrilova, Ralitza H., Lapid, Maria I., Boeve, Bradley F., Knopman, David S., Lowe, Val J., Petersen, Ronald C., Jack, Clifford R., Kantarci, Kejal, Jones, David T.

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Artificial intelligence and the aging mind von Lee, Jeyeon, Barnard, Leland R, Jones, David T

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Deciphering the clinico-radiological heterogeneity of dysexecutive Alzheimer’s disease von Corriveau-Lecavalier, Nick, Barnard, Leland R, Lee, Jeyeon, Dicks, Ellen, Botha, Hugo, Graff-Radford, Jonathan, Machulda, Mary M, Boeve, Bradley F, Knopman, David S, Lowe, Val J, Petersen, Ronald C, Jack, Jr, Clifford R, Jones, David T

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Deep learning-based brain age prediction in normal aging and dementia von Lee, Jeyeon, Burkett, Brian J, Min, Hoon-Ki, Senjem, Matthew L, Lundt, Emily S, Botha, Hugo, Graff-Radford, Jonathan, Barnard, Leland R, Gunter, Jeffrey L, Schwarz, Christopher G, Kantarci, Kejal, Knopman, David S, Boeve, Bradley F, Lowe, Val J, Petersen, Ronald C, Jack, Jr, Clifford R, Jones, David T

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Uncovering the distinct macro-scale anatomy of dysexecutive and behavioural degenerative diseases von Corriveau-Lecavalier, Nick, Barnard, Leland R, Botha, Hugo, Graff-Radford, Jonathan, Ramanan, Vijay K, Lee, Jeyeon, Dicks, Ellen, Rademakers, Rosa, Boeve, Bradley F, Machulda, Mary M, Fields, Julie A, Dickson, Dennis W, Graff-Radford, Neill, Knopman, David S, Lowe, Val J, Petersen, Ronald C, Jack, Jr, Clifford R, Jones, David T

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Synthesizing images of tau pathology from cross-modal neuroimaging using deep learning von Lee, Jeyeon, Burkett, Brian J, Min, Hoon-Ki, Senjem, Matthew L, Dicks, Ellen, Corriveau-Lecavalier, Nick, Mester, Carly T, Wiste, Heather J, Lundt, Emily S, Murray, Melissa E, Nguyen, Aivi T, Reichard, Ross R, Botha, Hugo, Graff-Radford, Jonathan, Barnard, Leland R, Gunter, Jeffrey L, Schwarz, Christopher G, Kantarci, Kejal, Knopman, David S, Boeve, Bradley F, Lowe, Val J, Petersen, Ronald C, Jack, Jr, Clifford R, Jones, David T

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Latent space projection of brain FDG‐PET creates a powerful classifier for neurodegenerative diseases von Barnard, Leland R, Botha, Hugo, Corriveau‐Lecavalier, Nick, Dicks, Ellen, Lee, Jeyeon, Min, Paul H, Senjem, Matthew L., Gunter, Jeffrey L., Schwarz, Christopher G., Boeve, Bradley F., Knopman, David S., Lowe, Val J., Petersen, Ronald C., Jack, Clifford R., Graff‐Radford, Jonathan, Jones, David T.

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FDG-PET patterns associate with survival in patients with prion disease von Corriveau-Lecavalier, Nick, Piura, Yoav D, Appleby, Brian S, Shir, Dror, Barnard, Leland R, Gogineni, Venkatsampath, Jones, David T, Day, Gregory S

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Accelerated aging in gait patterns is a leading indicator for cognitive decline von Barnard, Leland R, Ali, Farwa, Botha, Hugo, Christianson, Teresa J., Vemuri, Prashanthi, Knopman, David S., Petersen, Ronald C., Jack, Clifford R., Graff‐Radford, Jonathan, Jones, David T.

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Quantitative electroencephalography features of dysexecutive Alzheimer's disease von Li, Wentao, Varatharajah, Yogatheesan, Barnard, Leland R., Allen, Kay S., Brinkmann, Benjamin H., Worrell, Gregory A., Jones, David T.

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Comparison of self‐similarity measures in FDG‐PET images and association with disease progression risk von Dicks, Ellen, Barnard, Leland R, Boeve, Brad, Botha, Hugo, Corriveau‐Lecavalier, Nick, Graff‐Radford, Jonathan, Gunter, Jeffrey L., Knopman, David S., Lee, Jeyeon, Lowe, Val J., Schwarz, Christopher G., Senjem, Matthew L., Jack, Clifford R., Petersen, Ronald C., Jones, David T.

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Deciphering the clinico‐radiological heterogeneity of dysexecutive Alzheimer’s disease using unsupervised machine learning techniques von Corriveau‐Lecavalier, Nick, Barnard, Leland R, Lee, Jeyeon, Botha, Hugo, Graff‐Radford, Jonathan, Machulda, Mary M., Knopman, David S., Lowe, Val J., Boeve, Bradley F., Petersen, Ronald C., Jack, Clifford R., Jones, David T.

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Disambiguating the macro‐scale anatomy of dysexecutive and behavioral degenerative diseases of the mind von Corriveau‐Lecavalier, Nick, Barnard, Leland R, Botha, Hugo, Radford, Jonathan Graff, Ramanan, Vijay K, Lee, Jeyeon, Dicks, Ellen, Boeve, Brad F., Machulda, Mary M., Dickson, Dennis W., Graff‐Radford, Neill R, Knopman, David S., Lowe, Val J., Petersen, Ronald C., Jack, Clifford R., Jones, David T.

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Comparing approaches based on the global functional organization of the brain versus local connectivity to predict tau‐PET across the Alzheimer’s disease phenotypic spectrum von Corriveau‐Lecavalier, Nick, Botha, Hugo, Schumacher, Julia, Dicks, Ellen, Barnard, Leland R, Lee, Jeyeon, Sintini, Irene, Gunter, Jeffrey L., Kamykowski, Michael G., Graff‐Radford, Jonathan, Ramanan, Vijay K, Fields, Julie A., Machulda, Mary M., Boeve, Brad F., Lowe, Val J., Kantarci, Kejal, Knopman, David S., Whitwell, Jennifer L, Josephs, Keith A, Petersen, Ronald C., Jack, Clifford R., Jones, David T.

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Comparing approaches based on the global functional organization of the brain versus local connectivity to predict tau‐PET across the Alzheimer’s disease phenotypic spectrum von Corriveau‐Lecavalier, Nick, Botha, Hugo, Schumacher, Julia, Dicks, Ellen, Barnard, Leland R, Lee, Jeyeon, Sintini, Irene, Gunter, Jeffrey L., Kamykowski, Michael G., Graff‐Radford, Jonathan, Ramanan, Vijay K, Fields, Julie A., Machulda, Mary M., Boeve, Brad F., Lowe, Val J., Kantarci, Kejal, Knopman, David S., Whitwell, Jennifer L, Josephs, Keith A, Petersen, Ronald C., Jack, Clifford R., Jones, David T.

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Assessing patterns of network degeneration in familial frontotemporal lobar degeneration using FDG‐PET and unsupervised machine learning von Corriveau‐Lecavalier, Nick, Barnard, Leland R, Przybelski, Scott A., Gogineni, Venkatsampath, Botha, Hugo, Radford, Jonathan Graff, Ramanan, Vijay K, Forsberg, Leah K., Fields, Julie A., Rademakers, Rosa, Gavrilova, Ralitza H., Lapid, Maria I., Boeve, Brad F., Knopman, David S., Lowe, Val J., Petersen, Ronald C., Jack, Clifford R., Kantarci, Kejal, Jones, David T.

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Latent space projection of brain FDG‐PET creates a powerful classifier for neurodegenerative diseases von Barnard, Leland R, Botha, Hugo, Corriveau‐Lecavalier, Nick, Dicks, Ellen, Lee, Jeyeon, Min, Paul H, Senjem, Matthew L., Gunter, Jeffrey L., Schwarz, Christopher G., Boeve, Bradley F., Knopman, David S., Lowe, Val J., Petersen, Ronald C., Jack, Clifford R., Graff‐Radford, Jonathan, Jones, David T.

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Synthesizing Images of Tau Pathology from Images of Glucose Utilization von Lee, Jeyeon, Burkett, Brian J, Min, Hoon‐Ki, Senjem, Matthew L., Mester, Carly T., Wiste, Heather J., Lundt, Emily S., Corriveau‐Lecavalier, Nick, Dicks, Ellen, Botha, Hugo, Radford, Jonathan Graff, Barnard, Leland R, Gunter, Jeffrey L., Schwarz, Christopher G., Kantarci, Kejal, Knopman, David S., Boeve, Bradley F., Petersen, Ronald C., Jack, Clifford R., Jones, David T.

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Speech foundation models in healthcare: Effect of layer selection on pathological speech feature prediction von Wiepert, Daniela A, Utianski, Rene L, Duffy, Joseph R, Stricker, John L, Barnard, Leland R, Jones, David T, Botha, Hugo

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Detecting Speech Abnormalities with a Perceiver-based Sequence Classifier that Leverages a Universal Speech Model von Soltau, Hagen, Shafran, Izhak, Ottenwess, Alex, Duffy, Joseph R. JR, Utianski, Rene L, Barnard, Leland R, Stricker, John L, Wiepert, Daniela, Jones, David T, Botha, Hugo

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