Search Results for author: Rogier van der Sluijs

Found 3 papers, 2 papers with code

Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays

1 code implementation • 30 Jan 2023 • Rogier van der Sluijs, Nandita Bhaskhar, Daniel Rubin, Curtis Langlotz, Akshay Chaudhari

Thus, it is unknown whether common augmentation strategies employed in Siamese representation learning generalize to medical images and to what extent.

Anomaly Detection Representation Learning +1

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RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

1 code implementation • 23 Nov 2022 • Pierre Chambon, Christian Bluethgen, Jean-Benoit Delbrouck, Rogier van der Sluijs, Małgorzata Połacin, Juan Manuel Zambrano Chaves, Tanishq Mathew Abraham, Shivanshu Purohit, Curtis P. Langlotz, Akshay Chaudhari

We present evidence that the resulting model (RoentGen) is able to create visually convincing, diverse synthetic CXR images, and that the output can be controlled to a new extent by using free-form text prompts including radiology-specific language.

Data Augmentation

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Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks

no code implementations • 17 Oct 2022 • Dave Van Veen, Rogier van der Sluijs, Batu Ozturkler, Arjun Desai, Christian Bluethgen, Robert D. Boutin, Marc H. Willis, Gordon Wetzstein, David Lindell, Shreyas Vasanawala, John Pauly, Akshay S. Chaudhari

We propose using a coordinate network decoder for the task of super-resolution in MRI.

Denoising Super-Resolution

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