output
20172024
most citedZero-shot information extraction from radiological reports using ChatGPT

97 citations

11 papers

cs.CL2024★ 32 cited

The current status of large language models in summarizing radiology report impressions

Danqing Hu, Shanyuan Zhang, Qing Liu +2

Large language models (LLMs) like ChatGPT show excellent capabilities in various natural language processing tasks, especially for text generation. The effectiveness of LLMs in sum…

cs.CL2023★ 97 cited

Zero-shot information extraction from radiological reports using ChatGPT

Danqing Hu, Bing Liu, Xiaofeng Zhu +2

Electronic health records contain an enormous amount of valuable information, but many are recorded in free text. Information extraction is the strategy to transform the sequence o…

q-bio.QM2022★ 18 cited

Secuer: ultrafast, scalable and accurate clustering of single-cell RNA-seq data

Nana Wei, Yating Nie, Lin Liu +2

Identifying cell clusters is a critical step for single-cell transcriptomics study. Despite the numerous clustering tools developed recently, the rapid growth of scRNA-seq volumes…

physics.med-ph2022★ 15 cited

High-dimensional Automated Radiation Therapy Treatment Planning via Bayesian Optimization

Qingying Wang, Ruoxi Wang, Jiacheng Liu +4

Radiation therapy treatment planning can be viewed as an iterative hyperparameter tuning process to balance conflicting clinical goals. In this work, we investigated the performanc…

physics.med-ph2022★ 1 cited

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines

Aaron Babier, Rafid Mahmood, Binghao Zhang +56

We establish an open framework for developing plan optimization models for knowledge-based planning (KBP) in radiotherapy. Our framework includes reference plans for 100 patients w…

eess.IV2021★ 43 cited

Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation

Navdeep Dahiya, Sadegh R Alam, Pengpeng Zhang +3

In current clinical practice, noisy and artifact-ridden weekly cone-beam computed tomography (CBCT) images are only used for patient setup during radiotherapy. Treatment planning i…

cs.CV2020★ 17 cited

Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field

Daochang Liu, Tingting Jiang, Yizhou Wang +3

Surgical skill assessment is important for surgery training and quality control. Prior works on this task largely focus on basic surgical tasks such as suturing and knot tying perf…

cs.CV2020★ 2 cited

Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion

Daochang Liu, Yuhui Wei, Tingting Jiang +4

Surgical instrument segmentation is a key component in developing context-aware operating rooms. Existing works on this task heavily rely on the supervision of a large amount of la…

physics.med-ph2019★ 6 cited

Cherenkov Radiation Induced by Megavolt X-Ray Beams in the Second Near-Infrared Window

Xiangxi Meng, Yi Du, Ziyuan Li +7

Although the Cherenkov light contains mostly short-wavelength components, it is beneficial in the aspect of imaging to visualize it in the second near-infrared (NIR-II) window. In…

q-bio.TO2018★ 31 cited

Modeling Three-dimensional Invasive Solid Tumor Growth in Heterogeneous Microenvironment under Chemotherapy

Hang Xie, Yang Jiao, Qihui Fan +8

A systematic understanding of the evolution and growth dynamics of invasive solid tumors in response to different chemotherapy strategies is crucial for the development of individu…

quant-ph2017★ 19 cited

Exact Equivalence between Quantum Adiabatic Algorithm and Quantum Circuit Algorithm

Hongye Yu, Yuliang Huang, Biao Wu

We present a rigorous proof that quantum circuit algorithm can be transformed into quantum adiabatic algorithm with the exact same time complexity. This means that from a quantum c…