The following represents disclosure information provided by authors of this abstract. The program committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered compensated. Relationships are self-held unless otherwise noted. I = Immediate Family Member, Inst = My Institution
 
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An automatic AI model for tumoral burden detection and segmentation on whole-body MRI: The DIPCAN study.
 
Carmen Prieto-de-la-Lastra
Employment - Quibim
Research Funding - Quibim
 
Ana Jiménez Pastor
Employment - Quibim
 
Anna Nogué Infante
Employment - Quibim
Honoraria - Quibim
Research Funding - Quibim
 
Javier Blázquez Sánchez
No Relationships to Disclose
 
Raquel Sáiz-Martínez
No Relationships to Disclose
 
Esther Martin-Illana
No Relationships to Disclose
 
Angel Alberich-Bayarri
Employment - Quibim
Leadership - Quibim
Stock and Other Ownership Interests - Quibim
 
Enrique Grande
Stock and Other Ownership Interests - PharmaMar
Honoraria - Abbott/AbbVie; Abbvie; Advanced Accelerator Applications; Astellas Pharma; AstraZeneca; AVEO; Bristol-Myers Squibb; Dr. Reddy's Laboratories; Eisai; Eusa Pharma; EUSA Pharma; GlaxoSmithKline; IPSEN; Janssen-Cilag; Lilly; Merck KGaA; MSD; Novartis; Pfizer; Roche
Consulting or Advisory Role - Abbvie; AVEO; Bristol-Myers Squibb; Gilead Sciences; Ipsen; MSD; Pfizer; Roche; Roche
Research Funding - Astellas Pharma (Inst); AstraZeneca (Inst); Ipsen (Inst); Lexicon (Inst); Merck KGaA (Inst); Molecular Templates (Inst); Pfizer (Inst); Roche
Travel, Accommodations, Expenses - Bristol-Myers Squibb; Ipsen; Janssen-Cilag; Pfizer; Roche/Genentech
 
DIPCAN Consortium
No Relationships to Disclose