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Carlos Fernandez-Granda

Showing results (11-20 of 22) with videos related to

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Arxiv|December 4, 2023
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy SubjectsBoyang Yu, Aakash Kaku, Kangning Liu, et al.
NPJ Digital Medicine|July 5, 2024
Quantifying impairment and disease severity using AI models trained on healthy subjectsBoyang Yu, Aakash Kaku, Kangning Liu, et al.
Bioengineering (Basel, Switzerland)|June 28, 2023
Data-Driven Quantitation of Movement Abnormality after StrokeAvinash Parnandi, Aakash Kaku, Anita Venkatesan, et al.
Advances in Neural Information Processing Systems|September 28, 2023
StrokeRehab: A Benchmark Dataset for Sub-second Action IdentificationAakash Kaku, Kangning Liu, Avinash Parnandi, et al.
Magnetic Resonance in Medicine|December 11, 2023
Rapid quantitative magnetization transfer imaging: Utilizing the hybrid state and the generalized Bloch modelJakob Assländer, Cem Gultekin, Andrew Mao, et al.
Nature Biotechnology|May 25, 2023
Dictionary learning for integrative, multimodal and scalable single-cell analysisYuhan Hao, Tim Stuart, Madeline H Kowalski, et al.
Science (New York, N.Y.)|February 27, 2025
Visualizing nanoparticle surface dynamics and instabilities enabled by deep denoisingPeter A Crozier, Matan Leibovich, Piyush Haluai, et al.
Nucleic Acids Research|September 1, 2025
An interpretable and adaptive autoencoder for efficient tissue deconvolutionJesús de la Fuente, Naroa Legarra-Marcos, Aintzane Diaz-Mazkiaran, et al.
AJR. American Journal of Roentgenology|May 6, 2026
Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk CategorizationEbrahim Rasromani, Stella K Kang, Yanqi Xu, et al.
NPJ Digital Medicine|May 13, 2021
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency departmentFarah E Shamout, Yiqiu Shen, Nan Wu, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Arxiv|December 4, 2023
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy SubjectsBoyang Yu, Aakash Kaku, Kangning Liu, et al.
NPJ Digital Medicine|July 5, 2024
Quantifying impairment and disease severity using AI models trained on healthy subjectsBoyang Yu, Aakash Kaku, Kangning Liu, et al.
Bioengineering (Basel, Switzerland)|June 28, 2023
Data-Driven Quantitation of Movement Abnormality after StrokeAvinash Parnandi, Aakash Kaku, Anita Venkatesan, et al.
Advances in Neural Information Processing Systems|September 28, 2023
StrokeRehab: A Benchmark Dataset for Sub-second Action IdentificationAakash Kaku, Kangning Liu, Avinash Parnandi, et al.
Magnetic Resonance in Medicine|December 11, 2023
Rapid quantitative magnetization transfer imaging: Utilizing the hybrid state and the generalized Bloch modelJakob Assländer, Cem Gultekin, Andrew Mao, et al.
Nature Biotechnology|May 25, 2023
Dictionary learning for integrative, multimodal and scalable single-cell analysisYuhan Hao, Tim Stuart, Madeline H Kowalski, et al.
Science (New York, N.Y.)|February 27, 2025
Visualizing nanoparticle surface dynamics and instabilities enabled by deep denoisingPeter A Crozier, Matan Leibovich, Piyush Haluai, et al.
Nucleic Acids Research|September 1, 2025
An interpretable and adaptive autoencoder for efficient tissue deconvolutionJesús de la Fuente, Naroa Legarra-Marcos, Aintzane Diaz-Mazkiaran, et al.
AJR. American Journal of Roentgenology|May 6, 2026
Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk CategorizationEbrahim Rasromani, Stella K Kang, Yanqi Xu, et al.
NPJ Digital Medicine|May 13, 2021
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency departmentFarah E Shamout, Yiqiu Shen, Nan Wu, et al.
Pageof 3