Titus Josef Brinker

This paper introduces a deep learning model called Proformer for classifying bulk and single-cell proteomic samples, showing improved performance over existing methods.

This paper demonstrates swarm learning for training AI models on decentralized histopathology data to predict molecular features in colorectal cancer.

This study benchmarks AI methods for end-to-end computational pathology, showing ResNet and ViT outperform MIL and CLAM in mutation prediction but not in tumor subtyping.