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    Article

    Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction

    Deep learning models have demonstrated great potential in medical imaging but are limited by the expensive, large volume of annotations required. To address this, we compared different active learning strategi...

    Daniel D Kim, Rajat S Chandra, Li Yang in Journal of Imaging Informatics in Medicine (2024)

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    Article

    Brain Tumor Segmentation for Multi-Modal MRI with Missing Information

    Deep convolutional neural networks (DCNNs) have shown promise in brain tumor segmentation from multi-modal MRI sequences, accommodating heterogeneity in tumor shape and appearance. The fusion of multiple MRI s...

    Xue Feng, Kanchan Ghimire, Daniel D. Kim, Rajat S. Chandra in Journal of Digital Imaging (2023)

  3. Article

    Open Access

    Changes in prostate cancer survival among insured patients in relation to USPSTF screening recommendations

    To investigate the effects of the U.S. Preventive Services Task Force’s (USPSTF) 2012 recommendation against prostate-specific antigen (PSA)-based screening for prostate cancer on survival disparities based on...

    Isaac E. Kim Jr, Daniel D. Kim, Sinae Kim, Shuangge Ma, Thomas L. Jang in BMC Urology (2022)

  4. Article

    Open Access

    Characterization of the anti-inflammatory Lactobacillus reuteri BM36301 and its probiotic benefits on aged mice

    The gut microbiota is playing more important roles in host immune regulation than was initially expected. Since many benefits of microbes are highly strain-specific and their mechanistic details remain largely...

    Joon Lee, Woo Yang, Andrew Hostetler, Nathan Schultz, Mark A. Suckow in BMC Microbiology (2016)