Research
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Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry
Wengler, Kenneth, Trujillo, Paula, Cassidy, Clifford M., & Horga, Guillermo. (2024). Neuromelanin-sensitive MRI for mechanistic research and biomarker development in psychiatry. Neuropsychopharmacology. https://doi.org/10.1038/s41386-024-01934-y Neuromelanin-sensitive MRI is an advanced imaging technique that can detect neuromelanin, a byproduct of brain chemicals like dopamine and norepinephrine, which are important for regulating mood… Read MoreSep. 22, 2024
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Benchmarking clustering, alignment, and integration methods for spatial transcriptomics
Hu, Yunfei; Xie, Manfei; Li, Yikang; Rao, Mingxing; Shen, Wenjun; Luo, Can; Qin, Haoran; Baek, Jihoon; Zhou, Xin Maizie. “Benchmarking clustering, alignment, and integration methods for spatial transcriptomics.” Genome Biology, volume 25, Article number: 212 (2024). https://doi.org/10.1186/s13059-024-02665-w. Published: 09 August 2024. Understanding the complexities… Read MoreAug. 22, 2024
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Parallel signatures of cognitive maturation in primate antisaccade performance and prefrontal activity
Zhu, Junda; Zhou, Xin Maizie; Constantinidis, Christos; Salinas, Emilio; Stanford, Terrence R. “Parallel signatures of cognitive maturation in primate antisaccade performance and prefrontal activity.” iScience, Volume 27, Issue 8, 16 August 2024, 110488, https://doi.org/10.1016/j.isci.2024.110488. In this study, researchers examined how our ability to control… Read MoreAug. 22, 2024
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mTG-Gelatin phantoms as standardized testbeds for skin biomechanical measurements with Myoton
Ghosh, Shramana; Rector, John A.; Saknite, Inga; Smith, Hayden B.; Walsh, Kristy M.; Byram, Brett C.; Bellan, Leon M.; Tkaczyk, Eric R. “mTG-Gelatin phantoms as standardized testbeds for skin biomechanical measurements with Myoton.” Journal of the Mechanical Behavior of Biomedical Materials, 2024, 106651, https://doi.org/10.1016/j.jmbbm.2024.106651. Read MoreAug. 22, 2024
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SCCNAInfer: a robust and accurate tool to infer the absolute copy number on scDNA-seq data
Zhang, Liting; Zhou, Xin Maizie; Mallory, Xian. “SCCNAInfer: a robust and accurate… Read MoreAug. 22, 2024
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SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI
Benjamin Billot, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski, P. Ellen Grant, & Polina Golland. (2024). SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI. IEEE Transactions on Medical Imaging, 1-12. https://doi.org/10.1109/TMI.2024.3411989 Tracking movement accurately in medical imaging, like MRI scans… Read MoreJul. 21, 2024
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High-frequency ultrasound accuracy in preoperative cutaneous melanoma assessment: A meta-analysis
Georgina E. Sellyn, Andrea A. Lopez, Shramana Ghosh, Michael C. Topf, Heidi Chen, Eric Tkaczyk, & Jennifer G. Powers. (2024). High-frequency ultrasound accuracy in preoperative cutaneous melanoma assessment: A meta-analysis. Journal of the European Academy of Dermatology and Venereology. https://doi.org/10.1111/jdv.20179 High-frequency ultrasound (HFUS) is a safe… Read MoreJul. 21, 2024
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Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, and Bennett A. Landman. “Deep Conditional Generative Model for Longitudinal Single-slice Abdominal Computed Tomography Harmonization.” Journal of Medical Imaging (Bellingham), vol. 11, no. 2, 024008, March… Read MoreJun. 20, 2024
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Empirical assessment of the assumptions of ComBat with diffusion tensor imaging
Michael E. Kim, Chenyu Gao, Leon Y. Cai, Qi Yang, Nancy R. Newlin, Karthik Ramadass, Angela Jefferson, Derek Archer, Niranjana Shashikumar, Kimberly R. Pechman, Katherine A. Gifford, Timothy J. Hohman, Lori L. Beason-Held, Susan M. Resnick, Stefan Winzeck, Kurt G. Schilling, Panpan Zhang, Daniel Moyer, and Bennett A. Landman. “… Read MoreJun. 20, 2024
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Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites
Hanliang Xu, Nancy R. Newlin, Michael E. Kim, Chenyu Gao, Praitayini Kanakaraj, Aravind R. Krishnan, Lucas W. Remedios, Nazirah Mohd Khairi, Kimberly Pechman, Derek Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Išgum, Yuankai Huo, Daniel Moyer, Kurt G. Schilling, and Bennett A. Landman. “Evaluation of Mean Shift, ComBat,… Read MoreJun. 20, 2024