Segment-Based Hand Pose Estimation. - Christopher G. Schwarz; Niels da Vitoria Lobo (CRV, 2005)

The Camera-Driven Interactive Table. - Christopher G. Schwarz; Niels da Vitoria Lobo (WACV, 2007)

Fully-Automated White Matter Hyperintensity Detection with Anatomical Prior Knowledge and without FLAIR. - Christopher G. Schwarz; Evan Fletcher; Charles DeCarli; Owen T. Carmichael (IPMI, 2009)

Impact of Markov Random Field optimizer on MRI-based tissue segmentation in the aging brain. - Christopher G. Schwarz; Alex Tsui; Evan Fletcher; Baljeet Singh; Charles DeCarli; Owen T. Carmichael (EMBC, 2011)

Most edges in Markov random fields for white matter hyperintensity segmentation are worthless. - Christopher G. Schwarz; Evan Fletcher; Baljeet Singh; Amy Liu; Noel Smith; Charles DeCarli; Owen T. Carmichael (EMBC, 2012)

Effects of T2-weighted MRI based cranial volume measurements on studies of the aging brain. - Phong Vuong; David Drucker; Christopher G. Schwarz; Evan Fletcher; Charles DeCarli; Owen T. Carmichael (Image Processing, 2013)

Improved DTI registration allows voxel-based analysis that outperforms Tract-Based Spatial Statistics. - Christopher G. Schwarz; Robert I. Reid; Jeffrey L. Gunter; Matthew L. Senjem; Scott A. Przybelski; Samantha M. Zuk; Jennifer L. Whitwell; Prashanthi Vemuri; Keith A. Josephs; Kejal Kantarci; Paul M. Thompson; Ronald C. Petersen; et al. (NeuroImage, 2014)

Optimizing PiB-PET SUVR change-over-time measurement by a large-scale analysis of longitudinal reliability, plausibility, separability, and correlation with MMSE. - Christopher G. Schwarz; Matthew L. Senjem; Jeffrey L. Gunter; Nirubol Tosakulwong; Stephen D. Weigand; Bradley J. Kemp; Anthony J. Spychalla; Prashanthi Vemuri; Ronald C. Petersen; Val J. Lowe; Clifford R. Jack Jr. (NeuroImage, 2017)

Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks. - Hoo-Chang Shin; Neil A. Tenenholtz; Jameson K. Rogers; Christopher G. Schwarz; Matthew L. Senjem; Jeffrey L. Gunter; Katherine P. Andriole; Mark Michalski (SASHIMI@MICCAI, 2018)

A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals. - Yogatheesan Varatharajah; Krishnakant V. Saboo; Ravishankar K. Iyer; Scott A. Przybelski; Christopher G. Schwarz; Ronald C. Petersen; Clifford R. Jack; Prashanthi Vemuri (BIBM, 2019)

Associations of quantitative susceptibility mapping with Alzheimer's disease clinical and imaging markers. - Petrice M. Cogswell; Heather J. Wiste; Matthew L. Senjem; Jeffrey L. Gunter; Stephen D. Weigand; Christopher G. Schwarz; Arvin Arani; Terry M. Therneau; Val J. Lowe; David S. Knopman; Hugo Botha; Jonathan Graff-Radford; et al. (NeuroImage, 2021)

CSF dynamics as a predictor of cognitive progression. - Petrice M. Cogswell; Stephen D. Weigand; Heather J. Wiste; Jeffrey L. Gunter; Jonathan Graff-Radford; David T. Jones; Christopher G. Schwarz; Matthew L. Senjem; David S. Knopman; Ronald C. Petersen; Clifford R. Jack Jr. (NeuroImage, 2021)

Changing the face of neuroimaging research: Comparing a new MRI de-facing technique with popular alternatives. - Christopher G. Schwarz; Walter K. Kremers; Heather J. Wiste; Jeffrey L. Gunter; Prashanthi Vemuri; Anthony J. Spychalla; Kejal Kantarci; Aaron P. Schultz; Reisa A. Sperling; David S. Knopman; Ronald C. Petersen; Clifford R. Jack Jr. (NeuroImage, 2021)

Selecting software pipelines for change in flortaucipir SUVR: Balancing repeatability and group separation. - Christopher G. Schwarz; Terry M. Therneau; Stephen D. Weigand; Jeffrey L. Gunter; Val J. Lowe; Scott A. Przybelski; Matthew L. Senjem; Hugo Botha; Prashanthi Vemuri; Kejal Kantarci; Bradley F. Boeve; Jennifer L. Whitwell; et al. (NeuroImage, 2021)

Relationships between β-amyloid and tau in an elderly population: An accelerated failure time modelww. - Terry M. Therneau; David S. Knopman; Val J. Lowe; Hugo Botha; Jonathan Graff-Radford; David T. Jones; Prashanthi Vemuri; Michelle M. Mielke; Christopher G. Schwarz; Matthew L. Senjem; Jeffrey L. Gunter; Ronald C. Petersen; et al. (NeuroImage, 2021)

Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. - Krishnakant V. Saboo; Chang Hu; Yogatheesan Varatharajah; Scott A. Przybelski; Robert I. Reid; Christopher G. Schwarz; Jonathan Graff-Radford; David S. Knopman; Mary M. Machulda; Michelle M. Mielke; Ronald C. Petersen; Paul M. Arnold; et al. (NeuroImage, 2022)

Face recognition from research brain PET: An unexpected PET problem. - Christopher G. Schwarz; Walter K. Kremers; Val J. Lowe; Marios Savvides; Jeffrey L. Gunter; Matthew L. Senjem; Prashanthi Vemuri; Kejal Kantarci; David S. Knopman; Ronald C. Petersen; Clifford R. Jack Jr. (NeuroImage, 2022)

Cross-scanner harmonization methods for structural MRI may need further work: A comparison study. - Robel K. Gebre; Matthew L. Senjem; Sheelakumari Raghavan; Christopher G. Schwarz; Jeffery L. Gunter; Ekaterina I. Hofrenning; Robert I. Reid; Kejal Kantarci; Jonathan Graff-Radford; David S. Knopman; Ronald C. Petersen; Clifford R. Jack; et al. (NeuroImage, 2023)

A face-off of MRI research sequences by their need for de-facing. - Christopher G. Schwarz; Walter K. Kremers; Arvin Arani; Marios Savvides; Robert I. Reid; Jeffrey L. Gunter; Matthew L. Senjem; Petrice M. Cogswell; Prashanthi Vemuri; Kejal Kantarci; David S. Knopman; Ronald C. Petersen; et al. (NeuroImage, 2023)