Author profile
Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University
To reduce reliance on labor-intensive voxel-wise tumor masks by training CT segmentation models directly from routine radiology and pathology reports, enabling scalable detection and localization of tumors relevant to radiotherapy planning and incidental find...
To provide a large, diverse, and quality-controlled abdominal CT dataset with pancreas- and tumor-centric voxel-wise annotations to support benchmarking and development of AI models for pancreatic target segmentation and anatomy-aware evaluation relevant to r...
To create a large, quality-controlled abdominal CT atlas that enables radiotherapy auto-contouring research by providing standardized, voxel-wise annotations across diverse institutions and by supporting uncertainty-aware expert review and benchmarking.
Tumor-treating-fields (TTFields) therapy uses alternating electric fields delivered via transducer arrays placed regionally close to the tumor site to non-invasively inhibit tumor growth. Although important insights into the mechanisms underlying the anticanc...
While PET-CT imaging holds promise for simulation-free radiotherapy workflows, its inherent image resolution limits its use for accurate tumor and organ-at-risk (OAR) contouring. This study aims to enhance the spatial resolution of PET-CT by leveraging a reso...
To test whether commonly used pixel-wise CT reconstruction metrics reflect preservation of clinically relevant anatomy for radiotherapy imaging, and to develop an anatomy-centered, task-based evaluation and enhancement approach for sparse-view reconstruction.
To test whether a physics-informed “time-machine” tumor synthesis pipeline can generate realistic small pancreatic ductal adenocarcinoma (PDAC) targets on contrast-enhanced CT for training and stress-testing AI models intended to support CT-based target delin...
To develop and validate an AI system that supports radiotherapy-relevant pancreatic target delineation by localizing and segmenting small pancreatic ductal adenocarcinoma (PDAC) and related anatomy on routine contrast-enhanced CT, and to benchmark performance...