17 citations · 26 across the 3 of their papers we have counts for
5 papers
Deep Learning for Accelerated and Robust MRI Reconstruction: a Review
Reinhard Heckel, Mathews Jacob, Akshay Chaudhari +2
Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides…
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data
Maya Varma, Jean-Benoit Delbrouck, Sarah Hooper +2
Vision-language models (VLMs), such as CLIP and ALIGN, are generally trained on datasets consisting of image-caption pairs obtained from the web. However, real-world multimodal dat…
The Effect of Counterfactuals on Reading Chest X-rays
Joseph Paul Cohen, Rupert Brooks, Sovann En +4
This study evaluates the effect of counterfactual explanations on the interpretation of chest X-rays. We conduct a reader study with two radiologists assessing 240 chest X-ray pred…
Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography
Louis Blankemeier, Arjun Desai, Juan Manuel Zambrano Chaves +11
Computed tomography (CT) is routinely used in clinical practice to evaluate a wide variety of medical conditions. While CT scans provide diagnoses, they also offer the ability to e…
DDM: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
Tiange Xiang, Mahmut Yurt, Ali B Syed +2
Magnetic resonance imaging (MRI) is a common and life-saving medical imaging technique. However, acquiring high signal-to-noise ratio MRI scans requires long scan times, resulting…