Bohua Wan

Bohua Wan

Fourth year PhD student majored in computer science at Johns Hopkins University.

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Medical Imaging

Medical AI

Towards Virtual Clinical Trials of Radiology AI with Conditional Generative Modeling

Towards Virtual Clinical Trials of Radiology AI with Conditional Generative Modeling's image showing a brief idea of what this post is about.

We propose a framework for conducting virtual clinical trials of radiology AI systems using conditional generative models to synthesize realistic medical imaging scenarios for comprehensive AI evaluation.

B. D. Killeen*, Bohua Wan*, A. V. Kulkarni, N. Drenkow, M. Oberst, P. H. Yi, M. Unberath

arXiv preprint arXiv:2502.09688 (2025).

Medical AI

Deep learning xerostomia prediction model with anatomy normalization and high-resolution class activation map

Deep learning xerostomia prediction model with anatomy normalization and high-resolution class activation map's image showing a brief idea of what this post is about.

We develop an interpretable deep learning model for xerostomia prediction using anatomy normalization and high-resolution class activation maps for improved spatial interpretability.

Bohua Wan, T. McNutt, H. Quon, J. Lee

Proc. SPIE Medical Imaging 2025 (2025).

Medical AI

Deep learning prediction of radiation-induced xerostomia with supervised contrastive pre-training and cluster-guided loss

Deep learning prediction of radiation-induced xerostomia with supervised contrastive pre-training and cluster-guided loss's image showing a brief idea of what this post is about.

We propose a novel deep learning framework for predicting radiation-induced xerostomia using supervised contrastive pre-training and cluster-guided loss.

Bohua Wan, T. McNutt, R. Ger, H. Quon, J. Lee

Proc. SPIE Medical Imaging 2024 (2024).