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Proceedings. IEEE International Symposium on Biomedical Imaging
|
October 14, 2024
UNSUPERVISED AIRWAY TREE CLUSTERING WITH DEEP LEARNING: THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA) LUNG STUDY
Sneha N Naik, Elsa D Angelini, R Graham Barr, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging
|
October 16, 2024
MULTI-VIEW CNN FOR TOTAL LUNG VOLUME INFERENCE ON CARDIAC COMPUTED TOMOGRAPHY
Artur Wysoczanski, Elsa D Angelini, Yifei Sun, et al.
Nature Methods
|
January 18, 2024
Content-aware frame interpolation (CAFI): deep learning-based temporal super-resolution for fast bioimaging
Martin Priessner, David C A Gaboriau, Arlo Sheridan, et al.
ACS Chemical Biology
|
June 28, 2019
Fast Fluorescence Lifetime Imaging Reveals the Aggregation Processes of α-Synuclein and Polyglutamine in Aging <i>Caenorhabditis elegans</i>
Romain F Laine, Tessa Sinnige, Kai Yu Ma, et al.
Nature Methods
|
June 2, 2022
TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines
Dmitry Ershov, Minh-Son Phan, Joanna W Pylvänäinen, et al.
Annals of the American Thoracic Society
|
February 15, 2023
Obstructive Sleep Apnea and Longitudinal Changes in Interstitial Lung Imaging and Lung Function: The MESA Study
John S Kim, Ali Azarbarzin, Anna J Podolanczuk, et al.
Journal of Physics D: Applied Physics
|
November 16, 2020
NanoJ: a high-performance open-source super-resolution microscopy toolbox
Romain F Laine, Kalina L Tosheva, Nils Gustafsson, et al.
Elife
|
May 4, 2019
Intrinsically aggregation-prone proteins form amyloid-like aggregates and contribute to tissue aging in <i>Caenorhabditis elegans</i>
Chaolie Huang, Sara Wagner-Valladolid, Amberley D Stephens, et al.
Frontiers in Aging Neuroscience
|
August 29, 2022
Deep learning of MRI contrast enhancement for mapping cerebral blood volume from single-modal non-contrast scans of aging and Alzheimer's disease brains
Chen Liu, Nanyan Zhu, Haoran Sun, et al.
Medrxiv : the Preprint Server for Health Sciences
|
December 8, 2025
Visionary AI: Decoding Systemic Vascular Health and Hypertensive Disorders in Pregnancy Through Retinal Imaging and Artificial Intelligence
Srilaxmi Bearelly, Cassandra Areff, Matthew K Hoffman, et al.
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Search research articles
Search
Showing results (141-150 of 160) with videos related to
Sort By:
Page
of 16
Proceedings. IEEE International Symposium on Biomedical Imaging
|
October 14, 2024
UNSUPERVISED AIRWAY TREE CLUSTERING WITH DEEP LEARNING: THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA) LUNG STUDY
Sneha N Naik, Elsa D Angelini, R Graham Barr, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging
|
October 16, 2024
MULTI-VIEW CNN FOR TOTAL LUNG VOLUME INFERENCE ON CARDIAC COMPUTED TOMOGRAPHY
Artur Wysoczanski, Elsa D Angelini, Yifei Sun, et al.
Nature Methods
|
January 18, 2024
Content-aware frame interpolation (CAFI): deep learning-based temporal super-resolution for fast bioimaging
Martin Priessner, David C A Gaboriau, Arlo Sheridan, et al.
ACS Chemical Biology
|
June 28, 2019
Fast Fluorescence Lifetime Imaging Reveals the Aggregation Processes of α-Synuclein and Polyglutamine in Aging <i>Caenorhabditis elegans</i>
Romain F Laine, Tessa Sinnige, Kai Yu Ma, et al.
Nature Methods
|
June 2, 2022
TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines
Dmitry Ershov, Minh-Son Phan, Joanna W Pylvänäinen, et al.
Annals of the American Thoracic Society
|
February 15, 2023
Obstructive Sleep Apnea and Longitudinal Changes in Interstitial Lung Imaging and Lung Function: The MESA Study
John S Kim, Ali Azarbarzin, Anna J Podolanczuk, et al.
Journal of Physics D: Applied Physics
|
November 16, 2020
NanoJ: a high-performance open-source super-resolution microscopy toolbox
Romain F Laine, Kalina L Tosheva, Nils Gustafsson, et al.
Elife
|
May 4, 2019
Intrinsically aggregation-prone proteins form amyloid-like aggregates and contribute to tissue aging in <i>Caenorhabditis elegans</i>
Chaolie Huang, Sara Wagner-Valladolid, Amberley D Stephens, et al.
Frontiers in Aging Neuroscience
|
August 29, 2022
Deep learning of MRI contrast enhancement for mapping cerebral blood volume from single-modal non-contrast scans of aging and Alzheimer's disease brains
Chen Liu, Nanyan Zhu, Haoran Sun, et al.
Medrxiv : the Preprint Server for Health Sciences
|
December 8, 2025
Visionary AI: Decoding Systemic Vascular Health and Hypertensive Disorders in Pregnancy Through Retinal Imaging and Artificial Intelligence
Srilaxmi Bearelly, Cassandra Areff, Matthew K Hoffman, et al.
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of 16