Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancerJakob Nikolas Kather, Tom Luedde, Alexander T. Pearson et al.|Nature Medicine|2019Cited by 1.4k
Neoadjuvant and adjuvant pembrolizumab plus chemotherapy in locally advanced gastric or gastro-oesophageal cancer (KEYNOTE-585): an interim analysis of the multicentre, double-blind, randomised phase 3 studyKohei Shitara, Yung‐Jue Bang, S. G. Afanasyev et al.|The Lancet Oncology|2023Cited by 336
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort studyHannah Sophie Muti, Jakob Nikolas Kather, Lara R. Heij et al.|The Lancet Digital Health|2021Cited by 120
Association Between Lymph Node Ratio and Survival in Patients with Pathological Stage II/III Gastric CancerKazuki Kano, Takashi Oshima, Takanobu Yamada et al.|Annals of Surgical Oncology|2020Cited by 49