What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Gene
- Cancer
Stephen T. C. Wong focuses on Artificial intelligence, Computer vision, Pattern recognition, Segmentation and Cancer research.
His research in Artificial intelligence intersects with topics in Tracing and Bioinformatics.
His Computer vision study integrates concerns from other disciplines, such as Cerebral cortex, Representation, Surface and Brain mri.
His studies in Pattern recognition integrate themes in fields like Fractional anisotropy, Parametric statistics and Brain tissue.
The study incorporates disciplines such as Effective diffusion coefficient, Diffusion MRI, Cerebrospinal fluid and White matter in addition to Segmentation.
His Cancer research study combines topics from a wide range of disciplines, such as Metastasis and Immunology.
His most cited work include:
- MeCP2, a key contributor to neurological disease, activates and represses transcription. (1379 citations)
- Epithelial-to-mesenchymal transition is not required for lung metastasis but contributes to chemoresistance (1029 citations)
- Breast cancer stem cells transition between epithelial and mesenchymal states reflective of their normal counterparts (576 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Computer vision, Cancer, Cancer research and Pattern recognition.
His Machine learning research extends to the thematically linked field of Artificial intelligence.
His research links Dendritic spine with Computer vision.
His Cancer research includes themes of Bioinformatics and Pathology.
Stephen T. C. Wong interconnects Cancer cell, Tumor progression, Signal transduction and Metastasis in the investigation of issues within Cancer research.
Stephen T. C. Wong works on Segmentation which deals in particular with Scale-space segmentation.
He most often published in these fields:
- Artificial intelligence (33.19%)
- Computer vision (19.49%)
- Cancer (14.41%)
What were the highlights of his more recent work (between 2016-2021)?
- Cancer research (13.42%)
- Internal medicine (8.47%)
- Cancer (14.41%)
In recent papers he was focusing on the following fields of study:
Cancer research, Internal medicine, Cancer, Artificial intelligence and Cancer cell are his primary areas of study.
Stephen T. C. Wong has included themes like Tumor progression, Ovarian tumor, Ovarian cancer and Metastasis in his Cancer research study.
In his research on the topic of Internal medicine, Medulloblastoma is strongly related with Oncology.
Stephen T. C. Wong combines subjects such as Cell and Drug with his study of Cancer.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning, Lung cancer and Pattern recognition.
His study on Cancer cell also encompasses disciplines like
- Bone metastasis, which have a strong connection to Danusertib, Aurora kinase and Bioinformatics,
- Gene expression profiling and Transcription factor most often made with reference to Signal transduction.
Between 2016 and 2021, his most popular works were:
- Platelets reduce anoikis and promote metastasis by activating YAP1 signaling (82 citations)
- Cancer-associated fibroblasts regulate endothelial adhesion protein LPP to promote ovarian cancer chemoresistance (49 citations)
- Combining deep learning and coherent anti-Stokes Raman scattering imaging for automated differential diagnosis of lung cancer. (49 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Artificial intelligence
- Cancer
Stephen T. C. Wong mainly focuses on Cancer research, Breast cancer, Cancer, Cancer cell and Tumor microenvironment.
His Cancer research research is multidisciplinary, incorporating elements of Cell, Signal transduction, Stem cell, Gene silencing and Triple-negative breast cancer.
The Breast cancer study combines topics in areas such as Phenotype, Cell culture and Artificial intelligence.
His Artificial intelligence research is multidisciplinary, relying on both Scale parameter and Energy functional.
Stephen T. C. Wong studies Cancer, focusing on Metastasis in particular.
His research integrates issues of Platelet, Ovarian cancer, Bone metastasis and Danusertib in his study of Cancer cell.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
