MIRD Pamphlet No. 31: MIRDcell V4—Artificial Intelligence Tools to Formulate Optimized Radiopharmaceutical Cocktails for Therapy.
Saved in:
| Title: | MIRD Pamphlet No. 31: MIRDcell V4—Artificial Intelligence Tools to Formulate Optimized Radiopharmaceutical Cocktails for Therapy. |
|---|---|
| Authors: | Katugampola, Sumudu1 (AUTHOR), Wang, Jianchao1 (AUTHOR), Howell, Roger W.1 (AUTHOR) rhowell@rutgers.edu, Barbee, Rachel Marie (AUTHOR), Bertolet, Alejandro (AUTHOR), Bolch, Wesley E. (AUTHOR), Dewaraja, Yuni K. (AUTHOR), Erwin, William D. (AUTHOR), Ferri, Valentina (AUTHOR), Ivashchenko, Oleksandra V. (AUTHOR), Kesner, Adam L. (AUTHOR), Laforest, Richard (AUTHOR), Peterson, Todd E. (AUTHOR), Rajendran, Joseph G. (AUTHOR), Sgouros, George (AUTHOR), Uribe, Carlos F. (AUTHOR), Zanzonico, Pat B. (AUTHOR) |
| Source: | Journal of Nuclear Medicine. Dc2024, Vol. 65 Issue 12, p1965-1973. 9p. |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
