Wei Liu
Orcid: 0000-0003-0935-3999Affiliations:
- Mayo Clinic, Department of Radiation Oncology, Phoenix, AZ, USA
According to our database1,
Wei Liu authored at least 37 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2026
A Multimodal Clinically Informed Coarse-to-Fine Framework for Longitudinal CT Registration in Proton Therapy.
CoRR, April, 2026
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-Institution and Multi-System Data.
IEEE Trans. Biomed. Eng., March, 2026
Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions.
Artif. Intell. Rev., January, 2026
Segment anything for video: A comprehensive review of video object segmentation and tracking from past to future.
Neurocomputing, 2026
2025
PharmacyGPT: exploration of artificial intelligence for medication management in the intensive care unit.
BMC Medical Informatics Decis. Mak., December, 2025
An Automated Retrieval-Augmented Generation LLaMA-4 109B-based System for Evaluating Radiotherapy Treatment Plans.
CoRR, September, 2025
Is the medical image segmentation problem solved? A survey of current developments and future directions.
CoRR, August, 2025
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges.
CoRR, July, 2025
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
IEEE Trans. Big Data, June, 2025
IEEE Trans. Big Data, June, 2025
2024
Inf. Fusion, April, 2024
Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios.
CoRR, 2024
HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization.
CoRR, 2024
Accurate Patient Alignment without Unnecessary Imaging Dose via Synthesizing Patient-specific 3D CT Images from 2D kV Images.
CoRR, 2024
2023
Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability.
CoRR, 2023
Benchmarking a foundation LLM on its ability to re-label structure names in accordance with the AAPM TG-263 report.
CoRR, 2023
CoRR, 2023
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
CoRR, 2023
Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics.
CoRR, 2023
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
2022
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022