Machine Learning forBioinformatics

I develop machine learning methods for biomedical imaging and multimodal clinical data, with a focus on practical tools for image analysis, structured reporting and scientific discovery.

Publications About me

Selected research

All research

Cephalometric landmark heatmap over a CBCT-derived radiograph. — Cropped from Figure 1 of the paper. Source: https://arxiv.org/abs/2608.16535

Oral and Dental Image Analysis (ODIN 2026) · 2026

Automatic Cephalometric Landmark Localization on CBCT-Derived Digitally Reconstructed Radiographs for Skeletal Malocclusion Classification

Automated cephalometric landmark localisation on CBCT-derived radiographs and downstream skeletal malocclusion classification.

Explore project

Heatmap comparing multimodal model accuracy across radiology subspecialties. — Cropped from the paper visual abstract. Source: https://pmc.ncbi.nlm.nih.gov/articles/PMC12405704/

Radiology · 2025

One year on: assessing progress of multimodal large language model performance on RSNA 2024 case of the day questions

A year-on-year evaluation of multimodal model performance on image-based RSNA diagnostic cases.

Explore project

Manual and automated ascites segmentations on axial CT images. — Cropped from Figure 5 of the paper. Source: https://arxiv.org/abs/2406.15979

Radiology: Artificial Intelligence · 2024

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification

Automated ascites segmentation and volume quantification across cirrhosis and ovarian-cancer CT cohorts.

Explore project

Selected publications

Publication list

2026

Automatic cephalometric landmark localization on CBCT-derived digitally reconstructed radiographs for skeletal malocclusion classification

B. Hou, K. Almpani, J. S. Lee, and Z. Lu

Oral and Dental Image Analysis (ODIN 2026) · Accepted

2026

Generalist foundation models from a multimodal dataset for 3D computed tomography

I. E. Hamamci et al.

Nature Biomedical Engineering · 2026

Paper

2025

One year on: assessing progress of multimodal large language model performance on RSNA 2024 Case of the Day questions

B. Hou, P. Mukherjee, V. Batheja, K. C. Wang, R. M. Summers, and Z. Lu

Radiology · 2025

Beyond the papers

All musings