Welcome to the Ho Lab!
We are an interdisciplinary team bridging between engineering and medicine. Our mission is to improve patient care and to assist clinicians with artificial intelligence (AI) models quantitatively analyzing medical images. We closely collaborate with medical experts to use the AI models for diagnosing cancer and predicting survival outcome and treatment response.
We are affiliated with the Department of Electrical and Computer Engineering at the State University of New York, Korea (SUNY Korea).
NEWS
- 2/1/2026: The Ho Lab is moved to the State University of New York, Korea (SUNY Korea).
- 12/4/2025: Our paper entitled “MuCoSA: Multi-contextual similarity assessment for histopathology image search” has been published in Journal of Pathology Informatics.
- 10/9/2025: Our paper entitled “Deep Learning-Based Segmentation of Lung Adenocarcinoma Whole-Slide Images for Objective Grading, Tumor Spread Through Air Spaces Identification, and Mutation Prediction” has been published in Modern Pathology.
- 9/27/2025: Our paper entitled “fmMAP: A Framework Reducing Site-Bias Batch Effect from Foundation Models in Pathology” is presented at COMPAYL workshop at MICCAI 2025.
- 7/2/2025: Our review paper entitled “Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and Multimodality” has been published in Cancer Research.
- 6/2/2025: Yeon-Wook successfully defends his master thesis entitled “Automated Bone-to-Soft Tissue Ratio Calculation in Bone Scintigraphy Based on an Image Segmentation Algorithm.” Congratulations!
- 3/6/2025: Our guest editorial entitled “A Need for Multi-Institutional Collaboration for Deep Learning-Driven Assessment of Osteosarcoma Treatment Response” has been published in the American Journal of Pathology.
- 2/8/2024: Our correspondence entitled “Toward Deploying a Deep Learning Model for Diagnosis of Rhabdomyosarcoma” has been published in Modern Pathology.
- 1/2/2024: The Ho Lab website is launched.