Search Results for author: Sophie Ostmeier

Found 7 papers, 2 papers with code

LieRE: Generalizing Rotary Position Encodings

no code implementations14 Jun 2024 Sophie Ostmeier, Brian Axelrod, Michael E. Moseley, Akshay Chaudhari, Curtis Langlotz

While Rotary Position Embeddings (RoPE) for large language models have become widely adopted, their application for other modalities has been slower.

Image Classification Position

GREEN: Generative Radiology Report Evaluation and Error Notation

no code implementations6 May 2024 Sophie Ostmeier, Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen, Arne Edward Michalson, Michael Moseley, Curtis Langlotz, Akshay S Chaudhari, Jean-Benoit Delbrouck

Evaluating radiology reports is a challenging problem as factual correctness is extremely important due to the need for accurate medical communication about medical images.

Natural Language Understanding

Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT

no code implementations7 Sep 2023 Sophie Ostmeier, Brian Axelrod, Benjamin Pulli, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Yongkai Liu, Christian Federau, Greg Zaharchuk, Jeremy J. Heit

Conclusion: A model trained on random expert sampling can identify the presence and location of acute ischemic brain tissue on Non-Contrast CT similar to CT perfusion and with better consistency than experts.

Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists

1 code implementation24 Nov 2022 Sophie Ostmeier, Brian Axelrod, Benjamin F. J. Verhaaren, Soren Christensen, Abdelkader Mahammedi, Yongkai Liu, Benjamin Pulli, Li-Jia Li, Greg Zaharchuk, Jeremy J. Heit

The optimized model trained on expert A was compared to test experts B and C. We used a one-sided Wilcoxon signed-rank test to test for the non-inferiority of the model-expert compared to the inter-expert agreement.

Cannot find the paper you are looking for? You can Submit a new open access paper.