An ensemble of 3D U-Net based models for segmentation of kidney and masses in CT scans
- Alex Golts
- Daniel Khapun
- et al.
- 2021
- MICCAI 2021
Daniel is a research scientist at IBM Israel working on deep learning for biologics. He grew up in Florida and received a dual degree in Computer Science and Mathematics from the University of Florida's Engineering and Liberal Arts colleges. He then went to Israel and recently completed his masters degree from Technion - Israel Institute of Technology in Computer Science, focused on Deep Learning. His thesis work was published in ECCV 2022, on self supervised contrastive learning and its applications in high resolution medical imagery.