Zhang, Jing

A pathology foundation model for cancer diagnosis and prognosis prediction

Wang, X., Zhao, J., Marostica, E., Yuan, W., Jin, J., Zhang, J., Li, R., Tang, H., Wang, K., Li, Y., et al. (2024) · Nature

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 580

TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification

Wang, X., Yang, S., Zhang, J., Wang, M., Zhang, J., Huang, J., Yang, W., & Han, X. (2021) · Lecture Notes in Computer Science

AI in cancer detectionDomain Adaptation and Few-Shot Learning

Cited by 178

The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT

Heller, N., Isensee, F., Trofimova, D., Tejpaul, R., Zhao, Z., Chen, H., Wang, L., Golts, A., Khapun, D., Shats, D., et al. (2023) · arXiv

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 35

Sch-net: a deep learning architecture for automatic detection of schizophrenia

Fu, J., Yang, S., He, F., He, L., Li, Y., Zhang, J., & Xiong, X. (2021) · BioMedical Engineering OnLine

Speech Recognition and SynthesisSchizophrenia research and treatment

Cited by 31

Automatic detection of consonant omission in cleft palate speech

He, L., Wang, X., Zhang, J., Liu, Q., Yin, H., & Lech, M. (2019) · International Journal of Speech Technology

Cleft Lip and Palate ResearchSpeech Recognition and Synthesis

Cited by 2