Schönlieb, Carola-Bibiane

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Roberts, M., Driggs, D., Thorpe, M., Gilbey, J., Yeung, M., Ursprung, S., Aviles-Rivero, A. I., Etmann, C., McCague, C., Beer, L., et al. (2021) · Nature Machine Intelligence

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 1,044

Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy

Yeung, M., Sala, E., Schönlieb, C.-B., & Rundo, L. (2021) · Computers in Biology and Medicine

Colorectal Cancer Screening and DetectionAI in cancer detection

Cited by 186

DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

Yang, Y., Fu, H., Aviles-Rivero, A. I., Schönlieb, C.-B., & Zhu, L. (2023) · Lecture Notes in Computer Science

Artificial Intelligence in Healthcare and EducationGenerative Adversarial Networks and Image Synthesis

Cited by 107

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence

Bai, X., Wang, H., Ma, L., Xu, Y., Gan, J., Fan, Z., Yang, F., Ma, K., Yang, J., Bai, S., et al. (2021) · Nature Machine Intelligence

COVID-19 diagnosis using AIPrivacy-Preserving Technologies in Data

Cited by 75