Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms

Benjamin S. C. Wade, Jing Sui, Stephanie Njau, Amber M. Leaver, Megha Vasvada, Boris A. Gutman, Paul M. Thompson, Randall Espinoza, Roger P. Woods, Christopher C. Abbott, Katherine L. Narr, Shantanu H. Joshi. Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms. In 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017. pages 502-506, IEEE, 2017. [doi]

@inproceedings{WadeSNLVGTEWANJ17,
  title = {Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms},
  author = {Benjamin S. C. Wade and Jing Sui and Stephanie Njau and Amber M. Leaver and Megha Vasvada and Boris A. Gutman and Paul M. Thompson and Randall Espinoza and Roger P. Woods and Christopher C. Abbott and Katherine L. Narr and Shantanu H. Joshi},
  year = {2017},
  doi = {10.1109/ISBI.2017.7950570},
  url = {https://doi.org/10.1109/ISBI.2017.7950570},
  researchr = {https://researchr.org/publication/WadeSNLVGTEWANJ17},
  cites = {0},
  citedby = {0},
  pages = {502-506},
  booktitle = {14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017},
  publisher = {IEEE},
  isbn = {978-1-5090-1172-8},
}