Ji, Yuan
Endeavor Health · Garvan Institute of Medical Research · UNSW Sydney · University of Chicago · The Kinghorn Cancer Centre
7 papers on CoChatORCID 0000-0003-4712-5567
Most cited papers
- Verified
The repertoire of mutational signatures in human cancer
Alexandrov, L. B., Kim, J., Haradhvala, N. J., Huang, M. N., Tian Ng, A. W., Wu, Y., Boot, A., Covington, K. R., Gordenin, D. A., Bergstrom, E. N., et al. (2020) · Nature
Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer
Cited by 3,496
- Verified
Genomic Heterogeneity as a Barrier to Precision Medicine in Gastroesophageal Adenocarcinoma
Pectasides, E., Stachler, M. D., Derks, S., Liu, Y., Maron, S., Islam, M., Alpert, L., Kwak, H., Kindler, H., Polite, B., et al. (2018) · Cancer Discovery
Cancer Genomics and DiagnosticsEsophageal Cancer Research and Treatment
Cited by 307
- Verified
Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer
Akdemir, K. C., Le, V. T., Chandran, S., Li, Y., Verhaak, R. G., Beroukhim, R., Campbell, P. J., Chin, L., Dixon, J. R., Futreal, P. A., et al. (2020) · Nature Genetics
Genomics and Chromatin DynamicsChromatin Remodeling and Cancer
Cited by 283
- Verified
Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma
Zhu, Y., Li, H., Guo, W., Drukker, K., Lan, L., Giger, M. L., & Ji, Y. (2015) · Scientific Reports
Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis
Cited by 165
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Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data
Guo, W., Li, H., Zhu, Y., Lan, L., Yang, S., Drukker, K., Morris, E. A., Burnside, E. S., Whitman, G. J., Giger, M. L., et al. (2015) · Journal of Medical Imaging
Radiomics and Machine Learning in Medical ImagingBreast Cancer Treatment Studies
Cited by 148
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Heterogeneity of human prostate carcinoma-associated fibroblasts implicates a role for subpopulations in myeloid cell recruitment
Vickman, R. E., Broman, M. M., Lanman, N. A., Franco, O. E., Sudyanti, P. A. G., Ni, Y., Ji, Y., Helfand, B. T., Petkewicz, J., Paterakos, M. C., et al. (2020) · The Prostate
Prostate Cancer Treatment and ResearchImmune cells in cancer
Cited by 88
- Verified
Using computer‐extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage
Burnside, E. S., Drukker, K., Li, H., Bonaccio, E., Zuley, M., Ganott, M., Net, J. M., Sutton, E. J., Brandt, K. R., Whitman, G. J., et al. (2016) · Cancer
MRI in cancer diagnosisRadiomics and Machine Learning in Medical Imaging
Cited by 71
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