no code implementations • 11 Jan 2024 • John Kalkhof, Arlene Kühn, Yannik Frisch, Anirban Mukhopadhyay
Despite considerable success, large Denoising Diffusion Models (DDMs) with UNet backbone pose practical challenges, particularly on limited hardware and in processing gigapixel images.
1 code implementation • 6 Sep 2023 • John Kalkhof, Anirban Mukhopadhyay
Medical image segmentation relies heavily on large-scale deep learning models, such as UNet-based architectures.
2 code implementations • 7 Feb 2023 • John Kalkhof, Camila González, Anirban Mukhopadhyay
Access to the proper infrastructure is critical when performing medical image segmentation with Deep Learning.
1 code implementation • 20 Sep 2022 • Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Oksuz
In cardiovascular magnetic resonance imaging (CMR), respiratory motion represents a major challenge in terms of acquisition quality and therefore subsequent analysis and final diagnosis.
no code implementations • 14 Jan 2022 • John Kalkhof, Camila González, Anirban Mukhopadhyay
This separation enables us to perform a domain transfer and thus convert data from new sources into the training domain.