TY  - JOUR
AU  - Pan, Chenchen
AU  - Schoppe, Oliver
AU  - Parra-Damas, Arnaldo
AU  - Cai, Ruiyao
AU  - Todorov, Mihail Ivilinov
AU  - Gondi, Gabor
AU  - Neubeck, Bettina von
AU  - Böğürcü-Seidel, Nuray
AU  - Seidel, Sascha
AU  - Sleiman, Katia
AU  - Veltkamp, Christian
AU  - Förstera, Benjamin
AU  - Mai, Hongcheng
AU  - Rong, Zhouyi
AU  - Trompak, Omelyan
AU  - Ghasemigharagoz, Alireza
AU  - Reimer, Madita Alice
AU  - Javier Coronel
AU  - Jeremias, Irmela
AU  - Saur, Dieter
AU  - Acker-Palmer, Amparo
AU  - Acker, Till
AU  - Garvalov, Boyan K.
AU  - Menze, Bjoern
AU  - Zeidler, Reinhard
AU  - Ertürk, Ali
AU  - Cuesta Martínez, Ángel
PY  - 2019
DO  - 10.1016/j.cell.2019.11.013
SN  - 0092-8674
UR  - https://hdl.handle.net/20.500.14352/94010
T2  - Cell
AB  - Reliable detection of disseminated tumor cells and of the biodistribution of tumor-targeting therapeutic antibodies within the entire body has long been needed to better understand and treat cancer metastasis. Here, we developed an integrated pipeline...
LA  - eng
M2  - 1661
TI  - Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body
TY  - journal article
VL  - 179
ER  -