This book constitutes the proceedings of the 13th International Workshop on Machine Learning in Medical Imaging MLMI 2022 held in conjunction with MICCAI 2022 in Singapore in September 2022. The 48 full papers presented in this volume were carefully reviewed and selected from 64 submissions. They focus on major trends and challenges in the abovementioned area aiming to identify newcuttingedge techniques and their uses in medical imaging. Topics dealt with are deep learning generative adversarial learning ensemble learning sparse learning multitask learning multiview learning manifold learning and reinforcement learning with their applications to medical image analysis computeraided detection and diagnosis multimodality fusion image reconstruction image retrieval cellular image analysis molecular imaging digital pathology etc.