Research
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Data-driven nucleus subclassification on colon hematoxylin and eosin using style-transferred digital pathology
Remedios, Lucas W.; Bao, Shunxing; Remedios, Samuel W.; Lee, Ho Hin; Cai, Leon Y.; Li, Thomas; Deng, Ruining; Newlin, Nancy R.; Saunders, Adam M.; Cui, Can; Li, Jia; Liu, Qi; Lau, Ken S.; Roland, Joseph T.; Washington, Mary K.; Coburn, Lori A.; Wilson, Keith T.; Huo, Yuankai; Landman, Bennett… Read MoreJanuary 28, 2025
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Low-cost and label-free blue light cystoscopy through digital staining of white light cystoscopy videos
Chang, Shuang; Wintergerst, Greyson A.; Carlson, Camella; Yin, Haoli; Scarpato, Kristen R.; Luckenbaugh, Amy N.; Chang, Sam S.; Kolouri, Soheil; Bowden, Audrey K. “Low-cost and label-free blue light cystoscopy through digital staining of white light cystoscopy videos.” Communications Medicine, vol. 4, no. 1, 2024, 269,… Read MoreJanuary 28, 2025
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Numerical investigation of different RF arrays for magnetic resonance guided focused ultrasound in human head
Liang, Hao; Lu, Ming; Gore, John; Yan, Xinqiang. “Numerical investigation of different RF arrays for magnetic resonance guided focused ultrasound in human head.” Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2024, https://doi.org/10.1109/EMBC53108.2024.10782671. … Read MoreJanuary 28, 2025
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Vector field attention for deformable image registration
Liu, Yihao; Chen, Junyu; Zuo, Lianrui; Carass, Aaron; Prince, Jerry L. “Vector field attention for deformable image registration.” Journal of Medical Imaging, vol. 11, no. 6, 2024, 64001, https://doi.org/10.1117/1.JMI.11.6.064001. The purpose of this study is to improve the process of… Read MoreJanuary 28, 2025
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Risk Model-Guided Clinical Decision Support for Suicide Screening: A Randomized Clinical Trial
Walsh, Colin G.; Ripperger, Michael A.; Novak, Laurie; Reale, Carrie; Anders, Shilo; Spann, Ashley; Kolli, Jhansi; Robinson, Katelyn; Chen, Qingxia; Isaacs, David; Acosta, Lealani Mae Y.; Phibbs, Fenna; Fielstein, Elliot; Wilimitis, Drew; Musacchio Schafer, Katherine; Hilton, Rachel; Albert, Dan; Shelton, Jill; Stroh, Jessica; Stead, William W.; Johnson, Kevin B. Read MoreJanuary 28, 2025
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Central Involvement in Pure Autonomic Failure: Insights from Neuromelanin-Sensitive Magnetic Resonance Imaging and 18F-Fluorodopa-Positron Emission Tomography
Trujillo, Paula; O’Rourke, Kaitlyn R.; Roman, Olivia C.; Song, Alexander K.; Hett, Kilian; Cooper, Amy; Black, Bonnie K.; Donahue, Manus J.; Shibao, Cyndya A.; Biaggioni, Italo; Claassen, Daniel O. “Central Involvement in Pure Autonomic Failure: Insights from Neuromelanin-Sensitive Magnetic Resonance Imaging and 18F-Fluorodopa-Positron Emission Tomography.” Movement… Read MoreJanuary 28, 2025
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Reflecting on a Year of Growth and Opportunity
Landman, Bennett. “Reflecting on a Year of Growth and Opportunity.” Journal of Medical Imaging, vol. 11, no. 6, 2024, 60101, https://doi.org/10.1117/1.JMI.11.6.060101. The editorial reflects on the past year, highlighting impactful research and discussing challenges as the 11th volume of the… Read MoreJanuary 28, 2025
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CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Liu, J., Zhang, Y., Chen, J.-N., Xiao, J., Lu, Y., Landman, B. A., Yuan, Y., Yuille, A., Tang, Y., & Zhou, Z. (2023). CLIP-driven universal model for organ segmentation and tumor detection. In Proceedings of the IEEE International Conference on Computer Vision (pp. 21095–21107). Read MoreDecember 16, 2024
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Telemedicine Impact on the Patient-Provider Relationship in Primary Care During the COVID-19 Pandemic
Andreadis, K., Muellers, K., Ancker, J. S., Horowitz, C., Kaushal, R., & Lin, J. J. (2023). Telemedicine impact on the patient-provider relationship in primary care during the COVID-19 pandemic. Medical Care, 61(4), S83–S88. doi: 10.1097/MLR.0000000000001808 The COVID-19 pandemic made telemedicine, or… Read MoreDecember 16, 2024
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Metrics reloaded: recommendations for image analysis validation
Maier-Hein, L., Reinke, A., Godau, P., et al. (2024). Metrics reloaded: recommendations for image analysis validation. Nature Methods, 21(2), 195-212. doi: 10.1038/s41592-023-02151-z There is growing evidence that problems with validating machine learning (ML) algorithms are a global issue that’s often overlooked. Read MoreDecember 16, 2024