Physics-guided self-supervised learning for retrospective T1 and T2 mapping from conventional weighted brain MRI: Technical developments and initial validation in glioblastoma

By sjmartinez • July 18, 2024

Qiu S, Wang L, Sati P, Christodoulou AG, Xie Y, Li D. Physics-guided self-supervised learning for retrospective T₁ and T₂ mapping from conventional weighted brain MRI: Technical developments and initial validation in glioblastoma. Magn Reson Med. 2024 Jul 16. doi: 10.1002/mrm.30226. Epub ahead of print. PMID: 39014982.

Tags: biomedical sciences, brain tumor, Cedars Sinai DoM, Deep learning, Infectious Diseases, mapping, MR Imaging, multi‐parametric, Publications, quantitative imaging

Design and Rationale of the WARRIOR Ancillary Study for Coronary CT Angiographic Analysis

Tamarappoo B, Wolny R, Tomasino GF, Berman D, Handberg E, Pepine CJ, Lo MC, Budoff M, Shaw L, Shufelt C, Wei J, Gulati M, Merz[...]

Public Health

Tan ZS, Qureshi N, Sicotte N, Escovedo C, Hirsch A, Afrashteh A, Miles PB, Roberts P. Public Health. Alzheimers Dement. 2025 Dec;21 Suppl 6(Suppl 6):e101651.[...]

CRESTONE: A Phase II Study of the Efficacy and Safety of the HER3 Monoclonal Antibody, Seribantumab, in Solid Tumors With Neuregulin-1 (NRG1) Fusions

Patil T, Lin JJ, Cheema PK, Carrizosa DR, Burkard ME, Elamin YY, Desai J, Patel JD, Nagasaka M, Reckamp KL, Waqar SN, Bauman JR, Schram[...]