Lianli Liu

To develop a WEb-Accessible comprehensiVE (WEAVE) platform, that combines AI-driven segmentation with a user-friendly interface to automatically segment Vestibular Schwannomas (VS) and track longitudinal volumes for disease assessment, planning, and monitorin...

To address fragmentation and variability in longitudinal brain lesion assessment, we developed Brain-Dynamics, a vendor-neutral platform integrating auto‑segmentation, multimodal co‑registration, lesion labeling/tracking, and quantitative analytics for resear...

The clinical utility of low field MRI is limited by inherently low signal-to-noise ratio (SNR). Effective feature modeling plays a vital role in image denoising yet modeling long-range feature dependencies are computationally expensive. This study investigate...

With improvements in patient outcomes, re-irradiation is increasingly pursued and is becoming a common occurrence in the clinic. Safe planning requires accurate characterization of cumulative organ-at-risk (OAR) exposure across treatment courses that may diff...

To develop a unified software platform, CyberOrchestrator, for streamlining CyberKnife radiosurgery clinical workflows and managing clinical data in support of translational and clinical research.