| A survey of modern scientific workflow scheduling algorithms and systems in the era of big data J Liu, S Lu, D Che 2020 IEEE International Conference on Services Computing (SCC), 132-141, 2020 | 24 | 2020 |
| Infrastructure-level support for gpu-enabled deep learning in DATAVIEW J Liu, Z Xiao, S Lu, D Che, M Dong, C Bai Future Generation Computer Systems 141, 723-737, 2023 | 8 | 2023 |
| Deep-learning-as-a-workflow (DLaaW): An innovative approach to enabling deep learning in scientific workflows J Liu, Z Xiao, S Lu, D Che 2021 IEEE International Conference on Big Data (Big Data), 3101-3106, 2021 | 5 | 2021 |
| Large Language Model Locally Fine-tuning (LLMLF) on Chinese Medical Imaging Reports J Liu, Z Zhang, J Xiao, Z Jin, X Zhang, Y Ma, F Yan, N Wen Proceedings of the 2023 6th International Conference on Big Data …, 2023 | 2 | 2023 |
| A Generic Efficient Scientific Workflow Engine for the Optimizations of Run-Time Execution C Bai, J Liu, A Tahabilder, MM Imran, S Lu, D Che 2023 IEEE International Conference on Software Services Engineering (SSE …, 2023 | 1 | 2023 |
| SU‐E‐T‐289: Dose‐Volume‐Effect Relationships for Lung Cancer Patients Treated with SBRT On a Prospective Protocol E Mayyas, S Brown, J Liu, J Kim, Z Sun, S Devpura, M Ajlouni, F Siddiqui, ... Medical Physics 42 (6Part16), 3399-3399, 2015 | 1 | 2015 |
| Integration of Blockchain Technology in Collaborative Scientific Workflows S Lu, J Liu, Y Zhao, C Bai 2024 IEEE International Conference on Big Data (BigData), 3975-3982, 2024 | | 2024 |
| Mitigating Discrepancies in Radiology Reports: A Robust LLM Approach for Consistent Diagnosis Recommendations, Junwen Liu, Zheyu Zhang, Jifeng Xiao, Zhijia Jin, Xuekun Zhang, Yuanyuan Ma ... 中华医学会第 31 次全国放射学学术大会(CCR2024), 2024 | | 2024 |
| Optimizing Radiology Report Diagnosis Recommendation: Leveraging Supervised Fine-Tuning and Human Feedback in Large Language Models Junwen Liu, Zheyu Zhang, Jifeng Xiao, Abdusalam Abdukerim, Zhijia Jin ... 中华医学会第 31 次全国放射学学术大会(CCR2024), 2024 | | 2024 |
| Abdominal CT image impression generation in Chinese: Prompt Engineering on public LLMs vs. Local Tuning LLMs Junwen Liu, Zheyu Zhang, Jifeng Xiao, zhijia jin, Xuekun Zhang, Yuanyuan Ma ... 中华胰腺病学会学术年会(CAP2024), 2024 | | 2024 |
| Generation of Synthetic Contrast-Enhanced Abdominal CT Images Using Conditional Diffusion Model to Reduce Dependency on Iodinated Contrast Agents A Abdukerim, Y Yang, F Yan, J Liu American Association of Physicists in Medicine - AAPM, 2024 | | 2024 |
| General purpose Large Language model to Professional Large Language Model on Chinese Medical Image Reports: ChatGPT4 vs. Locally Finetuned Large Language Models J Liu, Z Zhang, J Xiao, Z Jin, X Zhang, Y Ma, F Yan, N Wen 中华医学会第 30 次全国放射学学 术大会(CCR2023), 159, 2023 | | 2023 |
| Deep Learning as Native Scientific Workflows in the Modern SWFMs-DATAVIEW J Liu Wayne State University, 2022 | | 2022 |
| A Prospective Analysis of Quality of Life Data and Clinical Toxicity as a Function of Radiation Dose and Volume in Stage I Lung Cancer Patients after SBRT DS Aharon Feldman, Suneetha Devpura, Benjamin Movsas, Indrin Chetty, Andrew ... International Journal of Radiation Oncology, Biology, Physics 108 (2), E64, 2020 | | 2020 |
| A Prospective Analysis of Quality of Life Data and Clinical Toxicity as a Function of Radiation Dose and Volume in Stage I Lung Cancer Patients after SBRT A Feldman, S Devpura, B Movsas, IJ Chetty, A Cook, S Rusu, SL Brown, ... | | 2020 |
| Retrospective correlation of radiation pneumonitis with dose distributions computed with different algorithms for locally advanced lung cancer patients. S Devpura, K Feghali, Z Sun, Q Wu, J Liu, M Ajlouni, IJ Chetty | | 2017 |
| WE‐AB‐207B‐12: Prospective Study of the Relationship Between Dose‐Volume Clinical Toxicity and Patient Reported Outcomes in Lung Cancer Patients Treated with SBRT E Mayyas, S Vance, S Brown, J Liu, J Kim, S Zhen, S Devpura, M Ajlouni, ... Medical Physics 43 (6Part39), 3806-3807, 2016 | | 2016 |
Shiyong LuProfessor, Department of Computer Science, Wayne State University在 wayne.edu 的电子邮件经过验证
