Search research articles
Contact Us
Filters
Showing results (71-80 of 78) with videos related to
Page
of 8
Sort By:
You have reached the last page of results.
This site can display upto 78 results.
Medrxiv : the Preprint Server for Health Sciences
|
August 16, 2024
BrainAgeNeXt: Advancing Brain Age Modeling for Individuals with Multiple Sclerosis
Francesco La Rosa, Jonadab Dos Santos Silva, Emma Dereskewicz, et al.
Imaging Neuroscience (Cambridge, Mass.)
|
August 13, 2025
BrainAgeNeXt: Advancing brain age modeling for individuals with multiple sclerosis
Francesco La Rosa, Jonadab Dos Santos Silva, Emma Dereskewicz, et al.
Scientific Reports
|
May 20, 2020
Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis
Aaron Carass, Snehashis Roy, Adrian Gherman, et al.
Medical Physics
|
December 24, 2022
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging
Lubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, et al.
BJR Artificial Intelligence
|
June 3, 2024
AI and machine learning in medical imaging: key points from development to translation
Ravi K Samala, Karen Drukker, Amita Shukla-Dave, et al.
BJR Artificial Intelligence
|
March 13, 2024
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, et al.
Neuroimage
|
January 15, 2017
Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
Aaron Carass, Snehashis Roy, Amod Jog, et al.
Medical Image Analysis
|
December 8, 2022
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Christ, Hongwei Bran Li, et al.
Page
of 8
Search research articles
Search
Showing results (71-80 of 78) with videos related to
Sort By:
Page
of 8
You have reached the last page of results.
This site can display upto 78 results.
Medrxiv : the Preprint Server for Health Sciences
|
August 16, 2024
BrainAgeNeXt: Advancing Brain Age Modeling for Individuals with Multiple Sclerosis
Francesco La Rosa, Jonadab Dos Santos Silva, Emma Dereskewicz, et al.
Imaging Neuroscience (Cambridge, Mass.)
|
August 13, 2025
BrainAgeNeXt: Advancing brain age modeling for individuals with multiple sclerosis
Francesco La Rosa, Jonadab Dos Santos Silva, Emma Dereskewicz, et al.
Scientific Reports
|
May 20, 2020
Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis
Aaron Carass, Snehashis Roy, Adrian Gherman, et al.
Medical Physics
|
December 24, 2022
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging
Lubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, et al.
BJR Artificial Intelligence
|
June 3, 2024
AI and machine learning in medical imaging: key points from development to translation
Ravi K Samala, Karen Drukker, Amita Shukla-Dave, et al.
BJR Artificial Intelligence
|
March 13, 2024
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, et al.
Neuroimage
|
January 15, 2017
Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
Aaron Carass, Snehashis Roy, Amod Jog, et al.
Medical Image Analysis
|
December 8, 2022
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Christ, Hongwei Bran Li, et al.
Page
of 8