A Radiomics Model Based on Synthetic MRI Acquisition for Predicting Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer

Ken Pin Hwang, Nabil Elshafeey, Aikaterini Kotrotsou, Huiqin Chen, Jong Bum Son, Medine Boge, Rania M. Mohamed, Abeer H. Abdelhafez, Beatriz E. Adrada, Bikash Panthi, Jia Sun, Benjamin C. Musall, Shu Zhang, Rosalind P. Candelaria, Jason B. White, Elizabeth E. Ravenberg, Debu Tripathy, Clinton Yam, Jennifer K. Litton, Lei HuoAlastair M. Thompson, Peng Wei, Wei T. Yang, Mark D. Pagel, Jingfei Ma, Gaiane M. Rauch

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Fingerprint

Dive into the research topics of 'A Radiomics Model Based on Synthetic MRI Acquisition for Predicting Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer'. Together they form a unique fingerprint.

Medicine & Life Sciences