Hikam Muzakky
I am passionate about Artificial Intelligence and Machine Learning, with over three years of experience in Python programming and a strong expertise in developing and deploying AI solutions. Holding a master’s degree in Biomedical Engineering from the National Taiwan University of Science and Technology, I have honed my skills in deep learning frameworks like PyTorch and have a solid background in handling large-scale data, including gigapixel images. My experience extends to optimizing algorithms in Linux-based environments.
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hikammuzakky at gmail dot com
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer
Ching-Wei Wang, Hikam Muzakky, Yu-Ching Lee, Yu-Pang Chung, Yu-Chi Wang, Mu-Hsien Yu, Chia-Hua Wu, Tai-Kuang Chao
Computerized Medical Imaging and Graphics, 2025
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Deep learning to identify aggressive endometrial cancer and predict tumor mutational burden from histopathology slide
Ching-Wei Wang, Po-Jen Lai, Hikam Muzakky, Tzu-Chiao Chu, Yu-Chi Wang, Mu-Hsien Yu, Chia-Hua Wu, Tai-Kuang Chao
Biomedical Signal Processing and Control, 2025
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Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer
Ching-Wei Wang, Tzu-Chien Liu, Po-Jen Lai, Hikam Muzakky, Yu-Chi Wang, Mu-Hsien Yu, Chia-Hua Wu, Tai-Kuang Chao
Medical Image Analysis, 2025
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Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides
Ching-Wei Wang, Nabila Puspita Firdi, Yu-Ching Lee, Tzu-Chiao Chu, Hikam Muzakky, Tzu-Chien Liu, Po-Jen Lai, Tai-Kuang Chao
NPJ Precision Oncology, 2024
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Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?
Hongyuan Zhang, Ching-Wei Wang, Hikam Muzakky, Juan Dai, Xuguang Li, Chenglong Ma, Qian Wu, Xianan Cui, Kunlun Xu, Pengfei He, Dongqian Guo, Xianlong Wang, Hyunseok Lee, Zhangnan Zhong, Zhu Zhu, Bingsheng Huang
arXiv preprint, 2024
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Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancer
Ching-Wei Wang, Hikam Muzakky, Nabila Puspita Firdi, Tzu-Chien Liu, Po-Jen Lai, Yu-Chi Wang, Mu-Hsien Yu, Tai-Kuang Chao
npj Digital Medicine, 2024
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Deep learning can predict bevacizumab therapeutic effect and microsatellite instability directly from histology in epithelial ovarian cancer
Ching-Wei Wang, Yu-Ching Lee, Yi-Jia Lin, Nabila Puspita Firdi, Hikam Muzakky, Tzu-Chien Liu, Po-Jen Lai, Chih-Hung Wang, Yu-Chi Wang, Mu-Hsien Yu, Chia-Hua Wu, Tai-Kuang Chao
Laboratory Investigation, 2023
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Weakly supervised bilayer convolutional network in segmentation of her2 related cells to guide her2 targeted therapies
Ching-Wei Wang, Kun-Lin Lin, Hikam Muzakky, Yi-Jia Lin, Tai-Kuang Chao
Laboratory Investigation, 2023
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Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target Therapy
Ching-Wei Wang, Kai-Lin Chu, Hikam Muzakky, Yi-Jia Lin, Tai-Kuang Chao
Cancers, 2023
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Annotation-free deep learning-based prediction of thyroid molecular cancer biomarker BRAF (V600E) from cytological slides
Ching-Wei Wang, Hikam Muzakky, Yu-Ching Lee, Yi-Jia Lin, Tai-Kuang Chao
International Journal of Molecular Sciences, 2023
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