検索結果 - Mert. R. Sabuncu

Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems 著者: Jacob T. Rosenthal, Ashley Beecy, Mert R. Sabuncu

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Human brain responses are modulated when exposed to optimized natural images or synthetically generated images 著者: Zijin Gu, Keith Jamison, Mert R. Sabuncu, Amy Kuceyeski

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Statistical variability in comparing accuracy of neuroimaging based classification models via cross validation 著者: Bahram Jafrasteh, Ehsan Adeli, Kilian M. Pohl, Amy Kuceyeski, Mert R. Sabuncu, Qingyu Zhao

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Phenome-wide heritability analysis of the UK Biobank. 著者: Tian Ge, Chia-Yen Chen, Benjamin M Neale, Mert R Sabuncu, Jordan W Smoller

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Role of Artificial Intelligence and Machine Learning to Create Predictors, Enhance Molecular Understanding, and Implement Purposeful Programs for Myocardial Recovery 著者: Frederick M. Lang, Benjamin C. Lee, Dor Lotan, Mert. R. Sabuncu, Veli K. Topkara

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Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models. 著者: Mohammad Haft-Javaherian, Linjing Fang, Victorine Muse, Chris B Schaffer, Nozomi Nishimura, Mert R Sabuncu

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Cancer type, stage and prognosis assessment from pathology reports using LLMs 著者: Rachit Saluja, Jacob Rosenthal, Annika Windon, Yoav Artzi, David J. Pisapia, Benjamin L. Liechty, Mert R. Sabuncu

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Machine learning can aid in prediction of IDH mutation from H&E-stained histology slides in infiltrating gliomas 著者: Benjamin Liechty, Zhuoran Xu, Zhilu Zhang, Cheyanne Slocum, Cagla D. Bahadir, Mert R. Sabuncu, David J. Pisapia

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The Transition From Homogeneous to Heterogeneous Machine Learning in Neuropsychiatric Research 著者: Qingyu Zhao, Kate B. Nooner, Susan F. Tapert, Ehsan Adeli, Kilian M. Pohl, Amy Kuceyeski, Mert R. Sabuncu

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A Framework for Interpretability in Machine Learning for Medical Imaging 著者: Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu

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Predicting Clinical Outcomes and Symptom Relief in Uterine Fibroid Embolization Using Machine Learning on MRI Features 著者: Sepehr Janghorbani, Alexandre Caprio, Laya Sam, Benjamin C. Lee, Mert R. Sabuncu, Nicole A. Lamparello, Marc Schiffman, Bobak Mosadegh

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LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping 著者: Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang

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Radiomic Prediction of Parkinson’s Disease Deep Brain Stimulation Surgery Outcomes using Quantitative Susceptibility Mapping and Label Noise Compensation 著者: Alexandra G. Roberts, Jinwei Zhang, Ceren Tozlu, Sema Akkus, Dominick Romano, Xi Wu, Jianqi Li, Heejong Kim, Mert R. Sabuncu, Pascal Spincemaille, Yi Wang, Brian H. Kopell

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Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis 著者: George Zhou, Yunchan Chen, Candace Chien, Leslie Revatta, Jannatul Ferdous, Michelle Chen, Shourov Deb, Sol De Leon Cruz, Alan Wang, Benjamin Lee, Mert R. Sabuncu, William Browne, Herrick Wun, Bobak Mosadegh

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