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2020 – today
- 2024
[i8]Xuxin Chen, Yuheng Li, Mingzhe Hu, Ella Salari, Xiaoqian Chen, Richard L. J. Qiu, Bin Zheng, Xiaofeng Yang:
Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography. CoRR abs/2404.15946 (2024)- 2023
- [j1]Mingzhe Hu
, Yu Zhang:
An empirical study of the Python/C API on evolution and bug patterns. J. Softw. Evol. Process. 35(2) (2023) - [c13]Mingzhe Hu, Jing Wang, Chih-Wei Chang, Tian Liu, Xiaofeng Yang:
End-to-end brain tumor detection using a graph-feature-based classifier. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c12]Mingzhe Hu, Jing Wang, Jacob F. Wynne, Tian Liu, Xiaofeng Yang:
A vision-GNN framework for retinopathy classification using optical coherence tomography. Medical Imaging: Computer-Aided Diagnosis 2023 - [c11]Yuheng Li, Jing Wang, Mingzhe Hu, Pretesh Patel, Hui Mao, Tian Liu, Xiaofeng Yang:
Prostate Gleason score prediction via MRI using capsule network. Medical Imaging: Computer-Aided Diagnosis 2023 - [c10]Shaoyan Pan, Jacob F. Wynne, Mingzhe Hu, Tonghe Wang, Justin Roper, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Multi-organ CT segmentation using shifted-window multilayer perceptron mixer. Medical Imaging: Image-Guided Procedures 2023 - [c9]Mingzhe Hu, Qi Zhao, Yu Zhang, Yan Xiong:
Cross-Language Call Graph Construction Supporting Different Host Languages. SANER 2023: 155-166 - [c8]Boyao Ding, Yu Zhang, Jinbao Chen, Mingzhe Hu, Qingwei Li:
CGORewritter: A better way to use C library in G. SANER 2023: 688-692 - [i7]Xiao-Hui Tian, Ran Yang, Ji-Ning Zhang, Hua Yu, Yao Zhang, Pengfei Fan, Mengwen Chen, Changsheng Gu, Xin Ni, Mingzhe Hu, Xun Cao, Xiaopeng Hu, Gang Zhao, Yan-Qing Lu, Zhi-Jun Yin, Hua-Ying Liu, Yan-Xiao Gong, Zhenda Xie, Shi-Ning Zhu:
Drone-based quantum key distribution. CoRR abs/2302.14012 (2023) - [i6]Mingzhe Hu, Shaoyan Pan, Yuheng Li, Xiaofeng Yang:
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT. CoRR abs/2304.04920 (2023) - [i5]Mingzhe Hu, Yuheng Li, Xiaofeng Yang:
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model. CoRR abs/2304.13973 (2023) - [i4]Yuheng Li, Mingzhe Hu, Xiaofeng Yang:
Polyp-SAM: Transfer SAM for Polyp Segmentation. CoRR abs/2305.00293 (2023) - [i3]Mingzhe Hu, Yuheng Li, Xiaofeng Yang:
BreastSAM: A Study of Segment Anything Model for Breast Tumor Detection in Ultrasound Images. CoRR abs/2305.12447 (2023) - [i2]Mingzhe Hu, Xiaofeng Yang:
Attention-Driven Lightweight Model for Pigmented Skin Lesion Detection. CoRR abs/2308.02119 (2023) - 2022
- [c7]HuaTao Li, ZhongYi Hu, Mingzhe Hu, Mingjun Hu:
Detection of Pulmonary Embolism Based on Receptive Field Amplification and Attention Mechanism. ICSAI 2022: 1-6 - [i1]Mingzhe Hu, Jiahan Zhang, Luke Matkovic, Tian Liu, Xiaofeng Yang:
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions. CoRR abs/2206.14302 (2022) - 2021
- [c6]Changzu Chen, Zhongyi Hu, Shan Jin, Lei Xiao, Mingzhe Hu, Qi Wu, Jingjing Shao, Zhenzhen Luo, MianLu Zou:
Classification of COVID-19 in CT Scans Using Image Smoothing and Improved Deep Residual Network. CICAI 2021: 89-100 - [c5]Mingzhe Hu, Yu Zhang, Wenchao Huang, Yan Xiong:
Static Type Inference for Foreign Functions of Python. ISSRE 2021: 423-433 - [c4]Yun Peng, Yu Zhang, Mingzhe Hu:
An Empirical Study for Common Language Features Used in Python Projects. SANER 2021: 24-35 - [c3]Xiao-Hui Tian, Changsheng Gu, Pengfei Fan, Mingzhe Hu, Hua-Ying Liu, Xin Ni, Ran Yang, Ji-Ning Zhang, Jian Guo, Yan-Xiao Gong, Zhenda Xie, Shi-Ning Zhu:
Long-time characterization of optical signal transmission through drone-to-ground link. WCSP 2021: 1-4 - 2020
- [c2]Mingzhe Hu, Yu Zhang:
The Python/C API: Evolution, Usage Statistics, and Bug Patterns. SANER 2020: 532-536
2010 – 2019
- 2018
- [c1]Tianqin Li, Mingzhe Hu, Liao Zhang:
Using the SVM Method for Lung Adenocarcinoma Prognosis Based on Expression Level. ICCBB 2018: 63-66
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