Cai, Hongmin

Using deep-learning algorithms to classify fetal brain ultrasound images as normal or abnormal

Xie, H. N., Wang, N., He, M., Zhang, L. H., Cai, H. M., Xian, J. B., Lin, M. F., Zheng, J., & Yang, Y. Z. (2020) · Ultrasound in Obstetrics & Gynecology

Fetal and Pediatric Neurological DisordersMedical Image Segmentation Techniques

Cited by 176

Differentiate ChatGPT-generated and Human-written Medical Texts

Liao, W., Liu, Z., Dai, H., Xu, S., Wu, Z., Zhang, Y., Huang, X., Zhu, D., Cai, H., Liu, T., et al. (2023) · arXiv

Authorship Attribution and ProfilingTopic Modeling

Cited by 119

Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks

Xie, B., Lei, T., Wang, N., Cai, H., Xian, J., He, M., Zhang, L., & Xie, H. (2020) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 65

DeepGA for automatically estimating fetal gestational age through ultrasound imaging

Dan, T., Chen, X., He, M., Guo, H., He, X., Chen, J., Xian, J., Hu, Y., Zhang, B., Wang, N., et al. (2023) · Artificial Intelligence in Medicine

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 25

NeoaPred: a deep-learning framework for predicting immunogenic neoantigen based on surface and structural features of peptide–human leukocyte antigen complexes

Jiang, D., Xi, B., Tan, W., Chen, Z., Wei, J., Hu, M., Lu, X., Chen, D., Cai, H., & Du, H. (2024) · Bioinformatics

vaccines and immunoinformatics approachesCancer Immunotherapy and Biomarkers

Cited by 23

Multimodal Approaches for Alzheimer’s Detection Using Patients’ Speech and Transcript

Cai, H., Huang, X., Liu, Z., Liao, W., Dai, H., Wu, Z., Zhu, D., Ren, H., Li, Q., Liu, T., et al. (2023) · Lecture Notes in Computer Science

Dementia and Cognitive Impairment ResearchSpeech Recognition and Synthesis

Cited by 22