I am a second-year Master’s student in Electrical Engineering at Korea University, supervised by Prof. Jin Tae Kwak. My works focus on applying deep learning to medical imaging, especially computational pathology. Recently, I am working on multiple instance learning (MIL) for whole slide images. Email: ngtienanh (at) korea (dot) ac (dot) kr
An explainable method to utilize texts for quantifying pathology images
A framework for continuous learning that is applicable for any vision model.
A task-agnostic generative and general pathology image classifier