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Your search keyword '"Young, Sean I."' showing total 6 results
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6 results on '"Young, Sean I."'

1. Diffeomorphic Multi-resolution Deep Learning Registration for Applications in Breast MRI

Author

French, Matthew G., Maso Talou, Gonzalo D., Babarenda Gamage, Thiranja P., Nash, Martyn P., Nielsen, Poul M. F., Doyle, Anthony J., Iglesias, Juan Eugenio, Balbastre, Yaël, Young, Sean I., Lovell, Nigel H., Advisory Editor, Oneto, Luca, Advisory Editor, Piotto, Stefano, Advisory Editor, Rossi, Federico, Advisory Editor, Samsonovich, Alexei V., Advisory Editor, Babiloni, Fabio, Advisory Editor, Liwo, Adam, Advisory Editor, Magjarevic, Ratko, Advisory Editor, Wittek, Adam, editor, Kobielarz, Magdalena, editor, Babu, Anju R., editor, Nash, Martyn P., editor, Nielsen, Poul M. F., editor, and Miller, Karol, editor

Published
2024
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2. Author Response: Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology

Author

Gazula, Harshvardhan, primary, Tregidgo, Henry F. J., additional, Billot, Benjamin, additional, Balbastre, Yael, additional, William-Ramirez, Jonathan, additional, Herisse, Rogeny, additional, Deden-Binder, Lucas J, additional, Casamitjana, Adrià, additional, Melief, Erica J., additional, Latimer, Caitlin S., additional, Kilgore, Mitchell D., additional, Montine, Mark, additional, Robinson, Eleanor, additional, Blackburn, Emily, additional, Marshall, Michael S., additional, Connors, Theresa R., additional, Oakley, Derek H., additional, Frosch, Matthew P., additional, Young, Sean I., additional, Leemput, Koen Van, additional, Dalca, Adrian V., additional, Fischl, Bruce, additional, Mac Donald, Christine L., additional, Keene, C. Dirk, additional, Hyman, Bradley T., additional, and Iglesias, Juan Eugenio, additional

Published
2024
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3. Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology

Author

Gazula, Harshvardhan, primary, Tregidgo, Henry F. J., additional, Billot, Benjamin, additional, Balbastre, Yael, additional, William-Ramirez, Jonathan, additional, Herisse, Rogeny, additional, Deden-Binder, Lucas J, additional, Casamitjana, Adrià, additional, Melief, Erica J., additional, Latimer, Caitlin S., additional, Kilgore, Mitchell D., additional, Montine, Mark, additional, Robinson, Eleanor, additional, Blackburn, Emily, additional, Marshall, Michael S., additional, Connors, Theresa R., additional, Oakley, Derek H., additional, Frosch, Matthew P., additional, Young, Sean I., additional, Leemput, Koen Van, additional, Dalca, Adrian V., additional, Fischl, Bruce, additional, Mac Donald, Christine L., additional, Keene, C. Dirk, additional, Hyman, Bradley T., additional, and Iglesias, Juan Eugenio, additional

Published
2024
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5. Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology.

Author

Gazula, Harshvardhan, Tregidgo, Henry F. J., Billot, Benjamin, Balbastre, Yael, Williams-Ramirez, Jonathan, Herisse, Rogeny, Deden-Binder, Lucas J., Casamitjana, Adria, Melief, Erica J., Latimer, Caitlin S., Kilgore, Mitchell D., Montine, Mark, Robinson, Eleanor, Blackburn, Emily, Marshall, Michael S., Connors, Theresa R., Oakley, Derek H., Frosch, Matthew P., Young, Sean I., and Van Leemput, Koen

Published
2024
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6. Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology.

Author

Gazula H, Tregidgo HFJ, Billot B, Balbastre Y, William-Ramirez J, Herisse R, Deden-Binder LJ, Casamitjana A, Melief EJ, Latimer CS, Kilgore MD, Montine M, Robinson E, Blackburn E, Marshall MS, Connors TR, Oakley DH, Frosch MP, Young SI, Van Leemput K, Dalca AV, FIschl B, Mac Donald CL, Keene CD, Hyman BT, and Iglesias JE

Abstract

We present open-source tools for 3D analysis of photographs of dissected slices of human brains, which are routinely acquired in brain banks but seldom used for quantitative analysis. Our tools can: (i) 3D reconstruct a volume from the photographs and, optionally, a surface scan; and (ii) produce a high-resolution 3D segmentation into 11 brain regions per hemisphere (22 in total), independently of the slice thickness. Our tools can be used as a substitute for ex vivo magnetic resonance imaging (MRI), which requires access to an MRI scanner, ex vivo scanning expertise, and considerable financial resources. We tested our tools on synthetic and real data from two NIH Alzheimer's Disease Research Centers. The results show that our methodology yields accurate 3D reconstructions, segmentations, and volumetric measurements that are highly correlated to those from MRI. Our method also detects expected differences between post mortem confirmed Alzheimer's disease cases and controls. The tools are available in our widespread neuroimaging suite "FreeSurfer" ( https://surfer.nmr.mgh.harvard.edu/fswiki/PhotoTools ).

Published
2024
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