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Ming Kang 0002

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affiliation: Monash University, Clayton, Australia
affiliation: Monash University, Malaysia Campus, Subang Jaya, Malaysia

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2023
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Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan:
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection. MICCAI (4) 2023: 600-610

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2024
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Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan:
CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation. CoRR abs/2401.16886 (2024)
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Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Zongyuan Ge, Chee-Ming Ting:
A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities. CoRR abs/2404.14019 (2024)
2023
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Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan:
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer. CoRR abs/2306.14590 (2023)
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Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan:
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection. CoRR abs/2307.16412 (2023)
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  - journals/corr/abs-2309-12585
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Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan:
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection. CoRR abs/2309.12585 (2023)
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  - journals/corr/abs-2312-06458
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Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan:
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation. CoRR abs/2312.06458 (2023)

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