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Skylar E Stolte

Showing results (1-10 of 10) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 9, 2026
Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRISkylar E Stolte, Aprinda Indahlastari, Alejandro Albizu, et al.
Brain Stimulation|June 6, 2023
Machine-learning defined precision tDCS for improving cognitive functionAlejandro Albizu, Aprinda Indahlastari, Ziqian Huang, et al.
BMC Medical Informatics and Decision Making|September 27, 2022
Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methodsZehao Yu, Xi Yang, Gianna L Sweeting, et al.
Transactions on Artificial Intelligence|March 27, 2026
Recent Advancements of Transcranial Direct Current Stimulation and Machine Learning: Methods, Challenges, and OpportunitiesJunfu Cheng, Tara Sahni, Zeyun Zhao, et al.
Software Impacts|April 24, 2023
DOMINO: Domain-aware loss for deep learning calibrationSkylar E Stolte, Kyle Volle, Aprinda Indahlastari, et al.
Arxiv|August 26, 2024
BrainSegFounder: Towards 3D Foundation Models for Neuroimage SegmentationJoseph Cox, Peng Liu, Skylar E Stolte, et al.
Medical Image Analysis|August 15, 2024
BrainSegFounder: Towards 3D foundation models for neuroimage segmentationJoseph Cox, Peng Liu, Skylar E Stolte, et al.
Imaging Neuroscience (Cambridge, Mass.)|March 11, 2024
Precise and Rapid Whole-Head Segmentation from Magnetic Resonance Images of Older Adults using Deep LearningSkylar E Stolte, Aprinda Indahlastari, Jason Chen, et al.
Bioelectronic Medicine|October 30, 2024
Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depressionAlejandro Albizu, Aprinda Indahlastari, Paulo Suen, et al.
Brain Stimulation|October 13, 2020
Machine learning and individual variability in electric field characteristics predict tDCS treatment responseAlejandro Albizu, Ruogu Fang, Aprinda Indahlastari, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 9, 2026
Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRISkylar E Stolte, Aprinda Indahlastari, Alejandro Albizu, et al.
Brain Stimulation|June 6, 2023
Machine-learning defined precision tDCS for improving cognitive functionAlejandro Albizu, Aprinda Indahlastari, Ziqian Huang, et al.
BMC Medical Informatics and Decision Making|September 27, 2022
Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methodsZehao Yu, Xi Yang, Gianna L Sweeting, et al.
Transactions on Artificial Intelligence|March 27, 2026
Recent Advancements of Transcranial Direct Current Stimulation and Machine Learning: Methods, Challenges, and OpportunitiesJunfu Cheng, Tara Sahni, Zeyun Zhao, et al.
Software Impacts|April 24, 2023
DOMINO: Domain-aware loss for deep learning calibrationSkylar E Stolte, Kyle Volle, Aprinda Indahlastari, et al.
Arxiv|August 26, 2024
BrainSegFounder: Towards 3D Foundation Models for Neuroimage SegmentationJoseph Cox, Peng Liu, Skylar E Stolte, et al.
Medical Image Analysis|August 15, 2024
BrainSegFounder: Towards 3D foundation models for neuroimage segmentationJoseph Cox, Peng Liu, Skylar E Stolte, et al.
Imaging Neuroscience (Cambridge, Mass.)|March 11, 2024
Precise and Rapid Whole-Head Segmentation from Magnetic Resonance Images of Older Adults using Deep LearningSkylar E Stolte, Aprinda Indahlastari, Jason Chen, et al.
Bioelectronic Medicine|October 30, 2024
Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depressionAlejandro Albizu, Aprinda Indahlastari, Paulo Suen, et al.
Brain Stimulation|October 13, 2020
Machine learning and individual variability in electric field characteristics predict tDCS treatment responseAlejandro Albizu, Ruogu Fang, Aprinda Indahlastari, et al.
Pageof 1