Zhao, Binsheng

The multimodal brain tumor image segmentation benchmark (BRATS)

Menze, B. H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., et al. (2015) · IEEE Transactions on Medical Imaging

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 6,781

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

Armato, S. G., McLennan, G., Bidaut, L., McNitt‐Gray, M. F., Meyer, C. R., Reeves, A. P., Zhao, B., Aberle, D. R., Henschke, C. I., Hoffman, E. A., et al. (2011) · Medical Physics

Lung Cancer Diagnosis and TreatmentAI in cancer detection

Cited by 2,887

Abdominal fat is associated with lower bone formation and inferior bone quality in healthy premenopausal women: a transiliac bone biopsy study

Cohen, A., Dempster, D. W., Recker, R. R., Lappe, J. M., Zhou, H., Zwahlen, A., Müller, R., Zhao, B., Guo, X., Lang, T., et al. (2013) · The Journal of Clinical Endocrinology & Metabolism

Bone health and osteoporosis researchBone Metabolism and Diseases

Cited by 206

Identification of non-small cell lung cancer sensitive to systemic cancer therapies using radiomics

Dercle, L., Fronheiser, M., Lu, L., Du, S., Hayes, W., Leung, D. K., Roy, A., Wilkerson, J., Guo, P., Fojo, A. T., et al. (2020) · Clinical Cancer Research

Radiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and Treatment

Cited by 177

Understanding Sources of Variation to Improve the Reproducibility of Radiomics

Zhao, B. (2021) · Frontiers in Oncology

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

Cited by 158

EGFR Exon 19 Insertions: A New Family of Sensitizing EGFR Mutations in Lung Adenocarcinoma

He, M., Capelletti, M., Nafa, K., Yun, C.-H., Arcila, M. E., Miller, V. A., Ginsberg, M. S., Zhao, B., Kris, M. G., Eck, M. J., et al. (2012) · Clinical Cancer Research

Lung Cancer Treatments and MutationsHER2/EGFR in Cancer Research

Cited by 149

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging

Lu, L., Dercle, L., Zhao, B., & Schwartz, L. H. (2021) · Nature Communications

Radiomics and Machine Learning in Medical ImagingColorectal Cancer Treatments and Studies

Cited by 104

Uncontrolled confounders may lead to false or overvalued radiomics signature: a proof of concept using survival analysis in a multicenter cohort of kidney cancer

Lu, L., Ahmed, F. S., Akin, O., Luk, L., Guo, X., Yang, H., Yoon, J., Hakimi, A. A., Schwartz, L. H., & Zhao, B. (2021) · Frontiers in Oncology

Radiomics and Machine Learning in Medical ImagingRenal cell carcinoma treatment

Cited by 31