  Ischemic Stroke Lesion Segmentation challenge (ISLES 2022) offers a platform
for researchers to compare their solutions to 3D segmentation of ischemic
stroke regions from 3D MRIs. In this work, we describe our solution to ISLES
2022 segmentation task. We re-sample all images to a common resolution, use two
input MRI modalities (DWI and ADC) and train SegResNet semantic segmentation
network from MONAI. The final submission is an ensemble of 15 models (from 3
runs of 5-fold cross validation). Our solution (team name NVAUTO) achieves the
top place in terms of Dice metric (0.824), and overall rank 2 (based on the
combined metric ranking).
