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Hikam Muzakky

Showing results (1-10 of 12) with videos related to

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Cancers|February 11, 2023
Computational Pathology for Breast Cancer and Gynecologic CancerChing-Wei Wang, Hikam Muzakky
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|August 3, 2023
Weakly supervised bilayer convolutional network in segmentation of HER2 related cells to guide HER2 targeted therapiesChing-Wei Wang, Kun-Lin Lin, Hikam Muzakky, et al.
Cancers|August 12, 2023
Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target TherapyChing-Wei Wang, Kai-Lin Chu, Hikam Muzakky, et al.
International Journal of Molecular Sciences|February 11, 2023
Annotation-Free Deep Learning-Based Prediction of Thyroid Molecular Cancer Biomarker BRAF (V600E) from Cytological SlidesChing-Wei Wang, Hikam Muzakky, Yu-Ching Lee, et al.
Medical Image Analysis|August 8, 2025
Interpretable multi-scale deep learning to detect malignancy in cell blocks and cytological smears of pleural effusion and identify aggressive endometrial cancerChing-Wei Wang, Hikam Muzakky, Yu-Pang Chung, et al.
NPJ Precision Oncology|December 21, 2024
Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slidesChing-Wei Wang, Nabila Puspita Firdi, Yu-Ching Lee, et al.
NPJ Digital Medicine|May 29, 2024
Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancerChing-Wei Wang, Hikam Muzakky, Nabila Puspita Firdi, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 13, 2025
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancerChing-Wei Wang, Hikam Muzakky, Yu-Ching Lee, et al.
Medical Image Analysis|October 26, 2024
Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancerChing-Wei Wang, Tzu-Chien Liu, Po-Jen Lai, et al.
Diagnostics (Basel, Switzerland)|June 12, 2026
Cross-Dataset Generalization of Deep Learning-Based Detectors for Intracranial Hemorrhage Subtype Localization on Noncontrast Head CT: A Comparative StudyChiao-Hua Lee, Hikam Muzakky, Cheng-En Juan, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Cancers|February 11, 2023
Computational Pathology for Breast Cancer and Gynecologic CancerChing-Wei Wang, Hikam Muzakky
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|August 3, 2023
Weakly supervised bilayer convolutional network in segmentation of HER2 related cells to guide HER2 targeted therapiesChing-Wei Wang, Kun-Lin Lin, Hikam Muzakky, et al.
Cancers|August 12, 2023
Efficient Convolution Network to Assist Breast Cancer Diagnosis and Target TherapyChing-Wei Wang, Kai-Lin Chu, Hikam Muzakky, et al.
International Journal of Molecular Sciences|February 11, 2023
Annotation-Free Deep Learning-Based Prediction of Thyroid Molecular Cancer Biomarker BRAF (V600E) from Cytological SlidesChing-Wei Wang, Hikam Muzakky, Yu-Ching Lee, et al.
Medical Image Analysis|August 8, 2025
Interpretable multi-scale deep learning to detect malignancy in cell blocks and cytological smears of pleural effusion and identify aggressive endometrial cancerChing-Wei Wang, Hikam Muzakky, Yu-Pang Chung, et al.
NPJ Precision Oncology|December 21, 2024
Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slidesChing-Wei Wang, Nabila Puspita Firdi, Yu-Ching Lee, et al.
NPJ Digital Medicine|May 29, 2024
Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancerChing-Wei Wang, Hikam Muzakky, Nabila Puspita Firdi, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 13, 2025
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancerChing-Wei Wang, Hikam Muzakky, Yu-Ching Lee, et al.
Medical Image Analysis|October 26, 2024
Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancerChing-Wei Wang, Tzu-Chien Liu, Po-Jen Lai, et al.
Diagnostics (Basel, Switzerland)|June 12, 2026
Cross-Dataset Generalization of Deep Learning-Based Detectors for Intracranial Hemorrhage Subtype Localization on Noncontrast Head CT: A Comparative StudyChiao-Hua Lee, Hikam Muzakky, Cheng-En Juan, et al.
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