Publications by authors named "Yan Chai Hum"

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Adaptive focal loss with personality stratification for stably mitigating hard class imbalance in multi-dimensional personality recognition.
Jing Jie Tan, Ban-Hoe Kwan, Danny Wee-Kiat Ng, Yan-Chai Hum

Sci Rep· November 2025

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Histopathological classification of colorectal cancer based on domain-specific transfer learning and multi-model feature fusion.
Qi Ke, Yan Chai Hum, Wun-She Yap, Tian Swee Tan, Humaira Nisar

Sci Rep· October 2025

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Study of Power Equivalent Continuous Approximation Based on the Recent Consensus Recommendations for Brain Tumor Imaging with Pulsed Chemical Exchange Saturation Transfer at 3T.
Swee Qi Pan, Yan Chai Hum, Khin Wee Lai, Wun-She Yap, Chi Wei Ong

Magn Reson Med Sci· September 2025

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The predictive value of non-enhanced CT radiomics in differentiating early and advanced T-staging of colon cancer.
Kun Ma, Haobo Shi, Tian Swee Tan, Jahanzeb Sheikh, Muhammad Amir As'ari, Yan Chai Hum

Medicine (Baltimore)· May 2025

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Advanced deep learning for multi-class colorectal cancer histopathology: integrating transfer learning and ensemble methods.
Qi Ke, Wun-She Yap, Yee Kai Tee, Yan Chai Hum, Hua Zheng

Quant Imaging Med Surg· March 2025

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Predictive Modeling of COVID-19 Readmissions: Insights from Machine Learning and Deep Learning Approaches.
Wei Kit Loo, Wingates Voon, Anwar Suhaimi, Cindy Shuan Ju Teh, Yee Kai Tee, Yan Chai Hum

Diagnostics (Basel)· July 2024

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Fractional B-Spline Wavelets and U-Net Architecture for Robust and Reliable Vehicle Detection in Snowy Conditions.
Hamam Mokayed, Christián Ulehla, Elda Shurdhaj, Amirhossein Nayebiastaneh, Lama Alkhaled, Yan Chai Hum

Sensors (Basel)· June 2024

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Investigation of relayed nuclear Overhauser enhancement effect at -1.6 ppm in an ischemic stroke model.
Lee Sze Foo, James R Larkin, Brad A Sutherland, Kevin J Ray, Wun-She Yap, Yan Chai Hum

Quant Imaging Med Surg· December 2023

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Evaluating the effectiveness of stain normalization techniques in automated grading of invasive ductal carcinoma histopathological images.
Wingates Voon, Yan Chai Hum, Yee Kai Tee, Wun-She Yap, Humaira Nisar

Sci Rep· November 2023

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Non-annotated renal histopathological image analysis with deep ensemble learning.
Jia Chun Koo, Qi Ke, Yan Chai Hum, Choon Hian Goh, Khin Wee Lai

Quant Imaging Med Surg· September 2023

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Histopathological Gastric Cancer Detection on GasHisSDB Dataset Using Deep Ensemble Learning.
Ming Ping Yong, Yan Chai Hum, Khin Wee Lai, Ying Loong Lee, Choon-Hian Goh

Diagnostics (Basel)· May 2023

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Classification of basal stem rot using deep learning: a review of digital data collection and palm disease classification methods.
Yu Hong Haw, Khin Wee Lai, Joon Huang Chuah, Siti Khairunniza Bejo, Nur Azuan Husin, Yan Chai Hum

PeerJ Comput Sci· April 2023

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An Overview of Deep Learning Methods for Left Ventricle Segmentation.
Muhammad Ali Shoaib, Joon Huang Chuah, Raza Ali, Khairunnisa Hasikin, Azira Khalil, Yan Chai Hum

Comput Intell Neurosci· February 2023

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Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network.
Muhammad Ali Shoaib, Joon Huang Chuah, Raza Ali, Samiappan Dhanalakshmi, Yan Chai Hum

Life (Basel)· January 2023

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Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images.
Wingates Voon, Yan Chai Hum, Yee Kai Tee, Wun-She Yap, Maheza Irna Mohamad Salim

Sci Rep· November 2022

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Editorial: Computational intelligence in personalized medicine.
Yuanpeng Zhang, Khairunnisa Hasikin, Samiappan Dhanalakshmi, Yan Chai Hum, Khin Wee Lai

Front Pharmacol· October 2022

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Comparative studies of deep learning segmentation models for left ventricle segmentation.
Muhammad Ali Shoaib, Khin Wee Lai, Joon Huang Chuah, Yan Chai Hum, Raza Ali

Front Public Health· September 2022

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Deep Learning Model for Prediction of Progressive Mild Cognitive Impairment to Alzheimer's Disease Using Structural MRI.
Bing Yan Lim, Khin Wee Lai, Khairunnisa Haiskin, K A Saneera Hemantha Kulathilake, Zhi Chao Ong, Yan Chai Hum

Front Aging Neurosci· June 2022

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Comparative Study of Encoder-decoder-based Convolutional Neural Networks in Cartilage Delineation from Knee Magnetic Resonance Images.
Ching Wai Yong, Khin Wee Lai, Belinda Pingguan Murphy, Yan Chai Hum

Curr Med Imaging· November 2021

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Transcranial Electrical Motor Evoked Potential in Predicting Positive Functional Outcome of Patients after Decompressive Spine Surgery: Review on Challenges and Recommendations towards Objective Interpretation.
Mohd Redzuan Jamaludin, Khin Wee Lai, Joon Huang Chuah, Muhammad Afiq Zaki, Yan Chai Hum

Behav Neurol· November 2021

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Emergence of Deep Learning in Knee Osteoarthritis Diagnosis.
Pauline Shan Qing Yeoh, Khin Wee Lai, Siew Li Goh, Khairunnisa Hasikin, Yan Chai Hum

Comput Intell Neurosci· November 2021

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Speckle Noise Diffusion in Knee Articular Cartilage Ultrasound Images.
Muhammad Ali Shoaib, Md Belayet Hossain, Yan Chai Hum, Joon Huang Chuah, Maheza Irna Mohd Salim

Curr Med Imaging· August 2021

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Clinical translation of amide proton transfer (APT) MRI for ischemic stroke: a systematic review (2003-2020).
Lee Sze Foo, George Harston, Amit Mehndiratta, Wun-She Yap, Yan Chai Hum

Quant Imaging Med Surg· August 2021

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Current Trends in Readmission Prediction: An Overview of Approaches.
Kareen Teo, Ching Wai Yong, Joon Huang Chuah, Yan Chai Hum, Yee Kai Tee

Arab J Sci Eng· August 2021

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Study of common quantification methods of amide proton transfer magnetic resonance imaging for ischemic stroke detection.
Lee Sze Foo, James R Larkin, Brad A Sutherland, Kevin J Ray, Wun-She Yap, Yan Chai Hum

Magn Reson Med· April 2021

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