BibTex format
@inproceedings{Zeng:2023,
author = {Zeng, Q and Klein, C and Caruso, S and Maille, P and Allende, D and Minguez, B and Iavarone, M and Ningarhari, M and Gardini, AC and Pedica, F and Rimini, M and Perbellini, R and Boulagnon-Rombi, C and Heurgue-Berlot, A and Maggioni, M and Rela, M and Vij, M and Baulande, S and Legoix, P and Lameiras, S and Labgaa, I and Sempoux, C and Digkilia, A and Ghaffari-Laleh, N and Kather, JN and El, Nahhas O and Navale, P and Torres, C and Su, T-H and Graham, R and Salcedo, M and Bermudez, M and Tran, NH and Pawlotsky, J-M and Verset, G and Trepo, E and Varela, M and Castano-Garcia, A and Wendum, D and Amaddeo, G and Regnault, H and Lequoy, M and Diaz, A and Reig, M and Radu, P and Dufour, J-F and Chan, S and Gopal, P and Bruges, L and Gnemmi, V and Nault, JC and Rhee, H and Park, YN and Inarrairaegui, M and Argemi, JM and Sangro, B and D'Alessio, A and Scheiner, B and Pinato, DJ and Pinter, M and Paradis, V and Beaufrere, A and Peter, S and Rimassa, L and Di, Tommaso L and Vogel, A and Michal},
pages = {S13--S14},
publisher = {ELSEVIER},
title = {Deep learning predicts sensitivity to atezolizumab-bevacizumab from digital slides of hepatocellular carcinoma},
url = {https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001037135100017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb},
year = {2023}
}
RIS format (EndNote, RefMan)
TY - CPAPER
AU - Zeng,Q
AU - Klein,C
AU - Caruso,S
AU - Maille,P
AU - Allende,D
AU - Minguez,B
AU - Iavarone,M
AU - Ningarhari,M
AU - Gardini,AC
AU - Pedica,F
AU - Rimini,M
AU - Perbellini,R
AU - Boulagnon-Rombi,C
AU - Heurgue-Berlot,A
AU - Maggioni,M
AU - Rela,M
AU - Vij,M
AU - Baulande,S
AU - Legoix,P
AU - Lameiras,S
AU - Labgaa,I
AU - Sempoux,C
AU - Digkilia,A
AU - Ghaffari-Laleh,N
AU - Kather,JN
AU - El,Nahhas O
AU - Navale,P
AU - Torres,C
AU - Su,T-H
AU - Graham,R
AU - Salcedo,M
AU - Bermudez,M
AU - Tran,NH
AU - Pawlotsky,J-M
AU - Verset,G
AU - Trepo,E
AU - Varela,M
AU - Castano-Garcia,A
AU - Wendum,D
AU - Amaddeo,G
AU - Regnault,H
AU - Lequoy,M
AU - Diaz,A
AU - Reig,M
AU - Radu,P
AU - Dufour,J-F
AU - Chan,S
AU - Gopal,P
AU - Bruges,L
AU - Gnemmi,V
AU - Nault,JC
AU - Rhee,H
AU - Park,YN
AU - Inarrairaegui,M
AU - Argemi,JM
AU - Sangro,B
AU - D'Alessio,A
AU - Scheiner,B
AU - Pinato,DJ
AU - Pinter,M
AU - Paradis,V
AU - Beaufrere,A
AU - Peter,S
AU - Rimassa,L
AU - Di,Tommaso L
AU - Vogel,A
AU - Michalak,S
AU - Boursier,J
AU - Lomenie,N
AU - Ziol,M
AU - Calderaro,J
EP - 14
PB - ELSEVIER
PY - 2023///
SN - 0168-8278
SP - 13
TI - Deep learning predicts sensitivity to atezolizumab-bevacizumab from digital slides of hepatocellular carcinoma
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001037135100017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
ER -