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Honghan Wu

Showing results (1-10 of 72) with videos related to

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BMJ Health & Care Informatics|April 26, 2022
Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease predictionIsabel Straw, Honghan Wu
Journal of Imaging Informatics in Medicine|April 8, 2025
How Do Radiologists Currently Monitor AI in Radiology and What Challenges Do They Face? An Interview Study and Qualitative AnalysisJamie Chow, Ryan Lee, Honghan Wu
Water Science and Technology : a Journal of the International Association on Water Pollution Research|December 19, 2019
Deciphering the biodegradation of petroleum hydrocarbons using FTIR spectroscopy: application to a contaminated siteMingxing Yang, Zhendong Cao, Yue Zhang, et al.
NPJ Digital Medicine|February 22, 2023
The impact of inconsistent human annotations on AI driven clinical decision makingAneeta Sylolypavan, Derek Sleeman, Honghan Wu, et al.
Journal of Biomedical Informatics|March 12, 2021
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisationHang Dong, Víctor Suárez-Paniagua, William Whiteley, et al.
Proceedings of COLING. International Conference on Computational Linguistics|November 7, 2022
Edinburgh_UCL_Health@SMM4H'22: From Glove to Flair for handling imbalanced healthcare corpora related to Adverse Drug Events, Change in medication and self-reporting vaccinationImane Guellil, Jinge Wu, Honghan Wu, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 23, 2026
Addressing Generalizability in Clinical Named Entity Recognition: Federated Learning or Large Language Models?: A Case Study on Visual Acuity Extraction from US and UK Eye InstitutesQuang N Nguyen, Honghan Wu, Nikolas Pontikos, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI imagesXihe Kuang, Jason Py Cheung, Honghan Wu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Machine Learning to Classify Cardiotocography for Fetal Hypoxia DetectionFarah Francis, Saturnino Luz, Honghan Wu, et al.
Computers in Biology and Medicine|March 15, 2024
Machine learning on cardiotocography data to classify fetal outcomes: A scoping reviewFarah Francis, Saturnino Luz, Honghan Wu, et al.
Pageof 8

Showing results (1-10 of 72) with videos related to

Sort By:
Pageof 8
BMJ Health & Care Informatics|April 26, 2022
Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease predictionIsabel Straw, Honghan Wu
Journal of Imaging Informatics in Medicine|April 8, 2025
How Do Radiologists Currently Monitor AI in Radiology and What Challenges Do They Face? An Interview Study and Qualitative AnalysisJamie Chow, Ryan Lee, Honghan Wu
Water Science and Technology : a Journal of the International Association on Water Pollution Research|December 19, 2019
Deciphering the biodegradation of petroleum hydrocarbons using FTIR spectroscopy: application to a contaminated siteMingxing Yang, Zhendong Cao, Yue Zhang, et al.
NPJ Digital Medicine|February 22, 2023
The impact of inconsistent human annotations on AI driven clinical decision makingAneeta Sylolypavan, Derek Sleeman, Honghan Wu, et al.
Journal of Biomedical Informatics|March 12, 2021
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisationHang Dong, Víctor Suárez-Paniagua, William Whiteley, et al.
Proceedings of COLING. International Conference on Computational Linguistics|November 7, 2022
Edinburgh_UCL_Health@SMM4H'22: From Glove to Flair for handling imbalanced healthcare corpora related to Adverse Drug Events, Change in medication and self-reporting vaccinationImane Guellil, Jinge Wu, Honghan Wu, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 23, 2026
Addressing Generalizability in Clinical Named Entity Recognition: Federated Learning or Large Language Models?: A Case Study on Visual Acuity Extraction from US and UK Eye InstitutesQuang N Nguyen, Honghan Wu, Nikolas Pontikos, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI imagesXihe Kuang, Jason Py Cheung, Honghan Wu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Machine Learning to Classify Cardiotocography for Fetal Hypoxia DetectionFarah Francis, Saturnino Luz, Honghan Wu, et al.
Computers in Biology and Medicine|March 15, 2024
Machine learning on cardiotocography data to classify fetal outcomes: A scoping reviewFarah Francis, Saturnino Luz, Honghan Wu, et al.
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