Bibliographic Details
| Title: |
Enabling AI-Based Prediction of Neoadjuvant Treatment Response: A FAIR Multimodal Dataset Within EUCAIM. |
| Authors: |
González López M; Computational Health Informatics Group. IBiS/HUVR/CSIC/US., Álvarez Pérez RM; Molecular Imaging, Theragnosis and Precision Nuclear Medicine Group. IBiS/Department of Nuclear Medicine. HUVR/CSIC/US., Rey Garduño F; Computational Health Informatics Group. IBiS/HUVR/CSIC/US., Jiménez-Hoyuela García JM; Molecular Imaging, Theragnosis and Precision Nuclear Medicine Group. IBiS/Department of Nuclear Medicine. HUVR/CSIC/US., Castell Monsalve FJ; Department of Radiology. HUVR., Parra Calderón CL; Computational Health Informatics Group. IBiS/HUVR/CSIC/US. |
| Corporate Authors: |
EUCAIM CA |
| Source: |
Studies in health technology and informatics [Stud Health Technol Inform] 2026 Jun 29; Vol. 338, pp. 465-466. |
| Publication Type: |
Journal Article |
| Journal Info: |
Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Database: |
MEDLINE Ultimate |
