A5005641140- Anorectal Disease Treatments and Outcomes
- Pelvic floor disorders treatments
- Single-cell and spatial transcriptomics
- Gastric Cancer Management and Outcomes
- Colorectal Cancer Surgical Treatments
- Colorectal and Anal Carcinomas
- Colorectal Cancer Treatments and Studies
- Metastasis and carcinoma case studies
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Treatments and Mutations
- Gene expression and cancer classification
- AI in cancer detection
- Pediatric Hepatobiliary Diseases and Treatments
- Virus-based gene therapy research
- Medical Imaging Techniques and Applications
- HER2/EGFR in Cancer Research
- MicroRNA in disease regulation
- Chemokine receptors and signaling
- Extracellular vesicles in disease
- Immune cells in cancer
- Viral Infectious Diseases and Gene Expression in Insects
- Dermatological diseases and infestations
- Hernia repair and management
- Organ Transplantation Techniques and Outcomes
- Diverticular Disease and Complications
Georgia Institute of Technology
2020-2021
National Institutes of Health Clinical Center
2019
Dong-A University
2011
Konkuk University
2011
As an important task in medical imaging analysis, automatic lymph node segmentation from computed tomography (CT) scans has been studied well recent years, but it is still very challenging due to the lack of adequately-labeled training data. Manually annotating a large number segmentations expensive and time-consuming. For this reason, data augmentation can be considered as surrogate enriching However, most traditional methods use combination affine transformations manipulate data, which...
Head louse infestation (HLI) is one of the most frequently occurring parasitic diseases in children. This study was conducted to investigate socioeconomic and personal factors influencing HLI Republic Korea. A total 2,210 questionnaires about various related were obtained from children 17 primary schools throughout country. The rate significantly lower who lived together with mother or a family where both parents worked. In addition, whose fathers mothers public officers teachers. However,...
Advances in single cell transcriptomics have allowed us to study the identity of cells. This has led discovery new types and high resolution tissue maps them. Technologies that measure multiple modalities such data add more detail, but they also complicate integration. We offer an integrated analysis spatial location gene expression profiles cells determine their identity. propose scHybridNMF (single-cell Hybrid Nonnegative Matrix Factorization), which performs type identification by...
Abstract Motivation Recent advances in single cell transcriptomics have allowed us to examine the identity of cells, which has led discovery new types and high resolution maps type composition tissues. Technologies that measure multiple modalities data provide a more comprehensive picture cell, but they also create challenges for integration tasks. Results In our work, we jointly consider spatial location gene expression profiles cells determine their identity. Specifically, developed...