Huang, Raymond Y.

Artificial intelligence in cancer imaging: Clinical challenges and applications

Bi, W. L., Hosny, A., Schabath, M. B., Giger, M. L., Birkbak, N. J., Mehrtash, A., Allison, T., Arnaout, O., Abbosh, C., Dunn, I. F., et al. (2019) · CA: A Cancer Journal for Clinicians

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 1,846

Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions

Wen, P. Y., Weller, M., Lee, E. Q., Alexander, B. M., Barnholtz-Sloan, J. S., Barthel, F. P., Batchelor, T. T., Bindra, R. S., Chang, S. M., Chiocca, E. A., et al. (2020) · Neuro-Oncology

Glioma Diagnosis and TreatmentOvarian cancer diagnosis and treatment

Cited by 1,168

Federated learning enables big data for rare cancer boundary detection

Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S.-H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., et al. (2022) · Nature Communications

Privacy-Preserving Technologies in DataBrain Tumor Detection and Classification

Cited by 394

Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT

Bai, H. X., Wang, R., Xiong, Z., Hsieh, B., Chang, K., Halsey, K., Tran, T. M. L., Choi, J. W., Wang, D.-C., Shi, L.-B., et al. (2020) · Radiology

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 381

The biological significance of tumor grade, age, enhancement, and extent of resection in IDH-mutant gliomas: How should they inform treatment decisions in the era of IDH inhibitors?

van den Bent, M. J., French, P. J., Brat, D., Tonn, J. C., Touat, M., Ellingson, B. M., Young, R. J., Pallud, J., von Deimling, A., Sahm, F., et al. (2024) · Neuro-Oncology

Glioma Diagnosis and TreatmentAcute Myeloid Leukemia Research

Cited by 88

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice

Bakas, S., Vollmuth, P., Galldiks, N., Booth, T. C., Aerts, H. J. W. L., Bi, W. L., Wiestler, B., Tiwari, P., Pati, S., Baid, U., et al. (2024) · The Lancet Oncology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 36

A window-of-opportunity trial reveals mechanisms of response and resistance to navtemadlin in patients with recurrent glioblastoma

Rendo, V., Lee, E. Q., Bossi, C., Khuu, N., Rudek, M. A., Pal, S., Azazmeh, N., Rashid, R., Lin, J.-R., Cusick, M., et al. (2025) · Science Translational Medicine

Glioma Diagnosis and TreatmentCancer-related Molecular Pathways

Cited by 19