Chen, Hao

Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Ehteshami Bejnordi, B., Veta, M., Johannes van Diest, P., van Ginneken, B., Karssemeijer, N., Litjens, G., van der Laak, J. A. W. M., and the CAMELYON16 Consortium, Hermsen, M., Manson, Q. F., et al. (2017) · JAMA

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 3,293

The Liver Tumor Segmentation Benchmark (LiTS)

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., et al. (2019) · arXiv

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

The Liver Tumor Segmentation Benchmark (LiTS)

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., et al. (2023) · Medical Image Analysis

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

Yu, L., Chen, H., Dou, Q., Qin, J., & Heng, P.-A. (2017) · IEEE Transactions on Medical Imaging

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 1,140

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

Dou, Q., Chen, H., Yu, L., Zhao, L., Qin, J., Wang, D., Mok, V. C., Shi, L., & Heng, P.-A. (2016) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesIntracerebral and Subarachnoid Hemorrhage Research

Cited by 679

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Bandi, P., Geessink, O., Manson, Q., Van Dijk, M., Balkenhol, M., Hermsen, M., Ehteshami Bejnordi, B., Lee, B., Paeng, K., Zhong, A., et al. (2019) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 569

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks

Chen, H., Ni, D., Qin, J., Li, S., Yang, X., Wang, T., & Heng, P. A. (2015) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 379

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

Dou, Q., Chen, H., Jin, Y., Yu, L., Qin, J., & Heng, P.-A. (2016) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 344

A deep learning system for predicting time to progression of diabetic retinopathy

Dai, L., Sheng, B., Chen, T., Wu, Q., Liu, R., Cai, C., Wu, L., Yang, D., Hamzah, H., Liu, Y., et al. (2024) · Nature Medicine

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 339

SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network

Jin, Y., Dou, Q., Chen, H., Yu, L., Qin, J., Fu, C.-W., & Heng, P.-A. (2018) · IEEE Transactions on Medical Imaging

Surgical Simulation and TrainingMedical Image Segmentation Techniques

Cited by 316

Towards a new generation of artificial intelligence in China

Wu, F., Lu, C., Zhu, M., Chen, H., Zhu, J., Yu, K., Li, L., Li, M., Chen, Q., Li, X., et al. (2020) · Nature Machine Intelligence

Artificial Intelligence ApplicationsResearch, Science, and Academia

Cited by 287

Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks

Chen, H., Dou, Q., Ni, D., Cheng, J.-Z., Qin, J., Li, S., & Heng, P.-A. (2015) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 180

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework

Chen, H., Wu, L., Dou, Q., Qin, J., Li, S., Cheng, J.-Z., Ni, D., & Heng, P.-A. (2017) · IEEE Transactions on Cybernetics

Medical Image Segmentation TechniquesPrenatal Screening and Diagnostics

Cited by 164

MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology

Yang, S., Wang, Y., & Chen, H. (2024) · Lecture Notes in Computer Science

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 114

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model

Xu, Y., Wang, Y., Zhou, F., Ma, J., Jin, C., Yang, S., Li, J., Zhang, Z., Zhao, C., Zhou, H., et al. (2024) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 60

Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification

Luo, L., Xu, D., Chen, H., Wong, T.-T., & Heng, P.-A. (2022) · Lecture Notes in Computer Science

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 26

UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation

Wu, L., Nie, Y., He, S., Zhuang, J., Luo, L., Li, T., Xie, Z., Chen, D., Zhao, Y., Mahboobani, N., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 6