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Chengkun Sun

Showing results (1-10 of 6) with videos related to

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Studies in Health Technology and Informatics|August 8, 2025
Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health RecordsZhengkang Fan, Chengkun Sun, Russell S Terry, et al.
JMIR Medical Informatics|May 27, 2026
Multimodal Prediction of Renal Tumor Malignancy From Radiology Reports and Structured Electronic Health Records: Retrospective Cohort StudyZhengkang Fan, Renjie Liang, Chengkun Sun, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 12, 2025
MRISeqClassifier: A Deep Learning Toolkit for Precise MRI Sequence ClassificationJinqian Pan, Qi Chen, Chengkun Sun, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 19, 2026
Multimodal EHR-Based Prediction of Pediatric Asthma ExacerbationsZhengkang Fan, Jinqian Pan, Mengxian Lyu, et al.
JMIR Cancer|June 19, 2025
Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control StudyChengkun Sun, Erin Mobley, Michael Quillen, et al.
Journal of Biomedical Informatics|October 13, 2025
From image to report: automating lung cancer screening interpretation and reporting with vision-language modelsTien-Yu Chang, Qinglin Gou, Leyi Zhao, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Studies in Health Technology and Informatics|August 8, 2025
Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health RecordsZhengkang Fan, Chengkun Sun, Russell S Terry, et al.
JMIR Medical Informatics|May 27, 2026
Multimodal Prediction of Renal Tumor Malignancy From Radiology Reports and Structured Electronic Health Records: Retrospective Cohort StudyZhengkang Fan, Renjie Liang, Chengkun Sun, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 12, 2025
MRISeqClassifier: A Deep Learning Toolkit for Precise MRI Sequence ClassificationJinqian Pan, Qi Chen, Chengkun Sun, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 19, 2026
Multimodal EHR-Based Prediction of Pediatric Asthma ExacerbationsZhengkang Fan, Jinqian Pan, Mengxian Lyu, et al.
JMIR Cancer|June 19, 2025
Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control StudyChengkun Sun, Erin Mobley, Michael Quillen, et al.
Journal of Biomedical Informatics|October 13, 2025
From image to report: automating lung cancer screening interpretation and reporting with vision-language modelsTien-Yu Chang, Qinglin Gou, Leyi Zhao, et al.
Pageof 1