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Arxiv
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December 11, 2023
[WITHDRAWN] Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detection
Lukas Hirsch, Yu Huang, Hernan A Makse, et al.
Academic Radiology
|
October 31, 2024
Early Detection of Breast Cancer in MRI Using AI
Lukas Hirsch, Yu Huang, Hernan A Makse, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
February 2, 2011
Intrathecal baclofen in multiple sclerosis: too little, too late?
April Erwin, Mark Gudesblatt, Francois Bethoux, et al.
Neurourology and Urodynamics
|
July 4, 2025
Diagnostic and Therapeutic Outcomes of Ambulatory Urodynamics in a Tertiary Referral Center
Charlotte Mary Hughes, Nikita Rajiv Bhatt, Johanna Catherine Georgina Penfold, et al.
FEMS Microbiology Ecology
|
February 7, 2016
Antimicrobial resistance dashboard application for mapping environmental occurrence and resistant pathogens
Robert D Stedtfeld, Maggie R Williams, Umama Fakher, et al.
Biomedical Microdevices
|
August 12, 2015
Static self-directed sample dispensing into a series of reaction wells on a microfluidic card for parallel genetic detection of microbial pathogens
Robert D Stedtfeld, Yen-Cheng Liu, Tiffany M Stedtfeld, et al.
European Journal of Radiology
|
November 21, 2017
Comparison of screening CEDM and MRI for women at increased risk for breast cancer: A pilot study
Maxine S Jochelson, Katja Pinker, D David Dershaw, et al.
Journal of Imaging Informatics in Medicine
|
September 25, 2024
Cross-site Validation of AI Segmentation and Harmonization in Breast MRI
Yu Huang, Nicholas J Leotta, Lukas Hirsch, et al.
JAMA Network Open
|
January 15, 2021
Accuracy of Magnetic Resonance Imaging-Guided Biopsy to Verify Breast Cancer Pathologic Complete Response After Neoadjuvant Chemotherapy: A Nonrandomized Controlled Trial
Elizabeth J Sutton, Lior Z Braunstein, Mahmoud B El-Tamer, et al.
Radiology. Artificial Intelligence
|
February 11, 2022
Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans
Lukas Hirsch, Yu Huang, Shaojun Luo, et al.
Page
of 6
Search research articles
Search
Showing results (41-50 of 51) with videos related to
Sort By:
Page
of 6
Arxiv
|
December 11, 2023
[WITHDRAWN] Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detection
Lukas Hirsch, Yu Huang, Hernan A Makse, et al.
Academic Radiology
|
October 31, 2024
Early Detection of Breast Cancer in MRI Using AI
Lukas Hirsch, Yu Huang, Hernan A Makse, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
February 2, 2011
Intrathecal baclofen in multiple sclerosis: too little, too late?
April Erwin, Mark Gudesblatt, Francois Bethoux, et al.
Neurourology and Urodynamics
|
July 4, 2025
Diagnostic and Therapeutic Outcomes of Ambulatory Urodynamics in a Tertiary Referral Center
Charlotte Mary Hughes, Nikita Rajiv Bhatt, Johanna Catherine Georgina Penfold, et al.
FEMS Microbiology Ecology
|
February 7, 2016
Antimicrobial resistance dashboard application for mapping environmental occurrence and resistant pathogens
Robert D Stedtfeld, Maggie R Williams, Umama Fakher, et al.
Biomedical Microdevices
|
August 12, 2015
Static self-directed sample dispensing into a series of reaction wells on a microfluidic card for parallel genetic detection of microbial pathogens
Robert D Stedtfeld, Yen-Cheng Liu, Tiffany M Stedtfeld, et al.
European Journal of Radiology
|
November 21, 2017
Comparison of screening CEDM and MRI for women at increased risk for breast cancer: A pilot study
Maxine S Jochelson, Katja Pinker, D David Dershaw, et al.
Journal of Imaging Informatics in Medicine
|
September 25, 2024
Cross-site Validation of AI Segmentation and Harmonization in Breast MRI
Yu Huang, Nicholas J Leotta, Lukas Hirsch, et al.
JAMA Network Open
|
January 15, 2021
Accuracy of Magnetic Resonance Imaging-Guided Biopsy to Verify Breast Cancer Pathologic Complete Response After Neoadjuvant Chemotherapy: A Nonrandomized Controlled Trial
Elizabeth J Sutton, Lior Z Braunstein, Mahmoud B El-Tamer, et al.
Radiology. Artificial Intelligence
|
February 11, 2022
Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans
Lukas Hirsch, Yu Huang, Shaojun Luo, et al.
Page
of 6