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Tsz-Kin Wan

Showing results (1-10 of 7) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Leveraging Deep Learning Model for Computer Vision-Based Brain Tumor Classification in 3D MRI Brain ImagesTsz Kin Wan, Kei Hang Katie Chan
Scientific Reports|February 10, 2025
Prediction of COVID-19 cases by multifactor driven long short-term memory (LSTM) modelYanwen Shao, Tsz Kin Wan, Kei Hang Katie Chan
HGG Advances|September 2, 2022
A Mendelian randomization-based exploration of red blood cell distribution width and mean corpuscular volume with risk of hemorrhagic strokesJundong Liu, Elizabeth L Chou, Kui Kai Lau, et al.
Life (Basel, Switzerland)|April 23, 2022
Identifying Predictors of COVID-19 Mortality Using Machine LearningTsz-Kin Wan, Rui-Xuan Huang, Thomas Wetere Tulu, et al.
Computers in Biology and Medicine|February 22, 2023
Stroke mortality prediction based on ensemble learning and the combination of structured and textual dataRuixuan Huang, Jundong Liu, Tsz Kin Wan, et al.
BMC Digital Health|November 28, 2023
Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkersThomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan, et al.
Frontiers in Pharmacology|September 9, 2022
Lung adenocarcinoma-related target gene prediction and drug repositioningRui Xuan Huang, Damrongrat Siriwanna, William C Cho, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Leveraging Deep Learning Model for Computer Vision-Based Brain Tumor Classification in 3D MRI Brain ImagesTsz Kin Wan, Kei Hang Katie Chan
Scientific Reports|February 10, 2025
Prediction of COVID-19 cases by multifactor driven long short-term memory (LSTM) modelYanwen Shao, Tsz Kin Wan, Kei Hang Katie Chan
HGG Advances|September 2, 2022
A Mendelian randomization-based exploration of red blood cell distribution width and mean corpuscular volume with risk of hemorrhagic strokesJundong Liu, Elizabeth L Chou, Kui Kai Lau, et al.
Life (Basel, Switzerland)|April 23, 2022
Identifying Predictors of COVID-19 Mortality Using Machine LearningTsz-Kin Wan, Rui-Xuan Huang, Thomas Wetere Tulu, et al.
Computers in Biology and Medicine|February 22, 2023
Stroke mortality prediction based on ensemble learning and the combination of structured and textual dataRuixuan Huang, Jundong Liu, Tsz Kin Wan, et al.
BMC Digital Health|November 28, 2023
Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkersThomas Wetere Tulu, Tsz Kin Wan, Ching Long Chan, et al.
Frontiers in Pharmacology|September 9, 2022
Lung adenocarcinoma-related target gene prediction and drug repositioningRui Xuan Huang, Damrongrat Siriwanna, William C Cho, et al.
Pageof 1