Výsledky vyhledávání - "Moseley Michael"

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LieRE: Generalizing Rotary Position Encodings

Autor: Ostmeier, Sophie, Axelrod, Brian, Moseley, Michael E., Chaudhari, Akshay, Langlotz, Curtis

While Rotary Position Embeddings (RoPE) for large language models have become widely adopted, their application for other modalities has been slower. Here, we introduce Lie group Relative position Encodings (LieRE) that goes beyond RoPE in supporting

Externí odkaz: http://arxiv.org/abs/2406.10322

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GREEN: Generative Radiology Report Evaluation and Error Notation

Autor: Ostmeier, Sophie, Xu, Justin, Chen, Zhihong, Varma, Maya, Blankemeier, Louis, Bluethgen, Christian, Michalson, Arne Edward, Moseley, Michael, Langlotz, Curtis, Chaudhari, Akshay S, Delbrouck, Jean-Benoit

Evaluating radiology reports is a challenging problem as factual correctness is extremely important due to the need for accurate medical communication about medical images. Existing automatic evaluation metrics either suffer from failing to consider

Externí odkaz: http://arxiv.org/abs/2405.03595

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AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT

While it is well known that population differences from genetics, sex, race, and environmental factors contribute to disease, AI studies in medicine have largely focused on locoregional patient cohorts with less diverse data sources. Such limitation

Externí odkaz: http://arxiv.org/abs/2303.13567

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Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks

Autor: Hussein, Ramy, Shin, David, Zhao, Moss, Guo, Jia, Davidzon, Guido, Moseley, Michael, Zaharchuk, Greg

Accurate quantification of cerebral blood flow (CBF) is essential for the diagnosis and assessment of a wide range of neurological diseases. Positron emission tomography (PET) with radiolabeled water (15O-water) is considered the gold-standard for th

Externí odkaz: http://arxiv.org/abs/2211.12082

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Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation

Autor: Hussein, Ramy, Zhao, Moss, Shin, David, Guo, Jia, Chen, Kevin T., Armindo, Rui D., Davidzon, Guido, Moseley, Michael, Zaharchuk, Greg

Accurate quantification of cerebral blood flow (CBF) is essential for the diagnosis and assessment of cerebrovascular diseases such as Moyamoya, carotid stenosis, aneurysms, and stroke. Positron emission tomography (PET) is currently regarded as the

Externí odkaz: http://arxiv.org/abs/2202.06142

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