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Radiology
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April 15, 2025
A New Step Forward in the Extraction of Appropriate Radiology Reports
Koichiro Yasaka, Osamu Abe
Plos Medicine
|
December 1, 2018
Deep learning and artificial intelligence in radiology: Current applications and future directions
Koichiro Yasaka, Osamu Abe
Japanese Journal of Radiology
|
May 11, 2024
Impact of rapid iodine contrast agent infusion on tracheal diameter and lung volume in CT pulmonary angiography measured with deep learning-based algorithm
Koichiro Yasaka, Osamu Abe
The British Journal of Radiology
|
January 17, 2025
Iodine concentration in the lung parenchyma in relation to different inspiratory depths during CT pulmonary angiography
Koichiro Yasaka, Hiroyuki Saigusa, Osamu Abe
Journal of Imaging Informatics in Medicine
|
March 6, 2024
Effects of Intravenous Infusion of Iodine Contrast Media on the Tracheal Diameter and Lung Volume Measured with Deep Learning-Based Algorithm
Koichiro Yasaka, Hiroyuki Saigusa, Osamu Abe
Surgical and Radiologic Anatomy : SRA
|
October 5, 2016
Anomalous branching pattern of the portal vein: right posterior portal vein originating from the left portal vein
Koichiro Yasaka, Hiroyuki Akai, Shigeru Kiryu
Cureus
|
May 6, 2024
Differences in the Incidence of Sterile Inflammation After Trabectedin Infusion With Two Central Venous Port Systems: A Retrospective Study
Takatoshi Kubo, Koichiro Yasaka, Hiroshi Kobayashi
Radiology
|
October 24, 2017
Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study
Koichiro Yasaka, Hiroyuki Akai, Osamu Abe, et al.
Japanese Journal of Radiology
|
August 9, 2025
Reducing motion artifacts in the aorta: super-resolution deep learning reconstruction with motion reduction algorithm
Koichiro Yasaka, Rin Tsujimoto, Rintaro Miyo, et al.
Emergency Radiology
|
June 1, 2025
Fine-tuned large Language model for extracting newly identified acute brain infarcts based on computed tomography or magnetic resonance imaging reports
Nana Fujita, Koichiro Yasaka, Shigeru Kiryu, et al.
Page
of 12
Search research articles
Search
Showing results (1-10 of 111) with videos related to
Sort By:
Page
of 12
Radiology
|
April 15, 2025
A New Step Forward in the Extraction of Appropriate Radiology Reports
Koichiro Yasaka, Osamu Abe
Plos Medicine
|
December 1, 2018
Deep learning and artificial intelligence in radiology: Current applications and future directions
Koichiro Yasaka, Osamu Abe
Japanese Journal of Radiology
|
May 11, 2024
Impact of rapid iodine contrast agent infusion on tracheal diameter and lung volume in CT pulmonary angiography measured with deep learning-based algorithm
Koichiro Yasaka, Osamu Abe
The British Journal of Radiology
|
January 17, 2025
Iodine concentration in the lung parenchyma in relation to different inspiratory depths during CT pulmonary angiography
Koichiro Yasaka, Hiroyuki Saigusa, Osamu Abe
Journal of Imaging Informatics in Medicine
|
March 6, 2024
Effects of Intravenous Infusion of Iodine Contrast Media on the Tracheal Diameter and Lung Volume Measured with Deep Learning-Based Algorithm
Koichiro Yasaka, Hiroyuki Saigusa, Osamu Abe
Surgical and Radiologic Anatomy : SRA
|
October 5, 2016
Anomalous branching pattern of the portal vein: right posterior portal vein originating from the left portal vein
Koichiro Yasaka, Hiroyuki Akai, Shigeru Kiryu
Cureus
|
May 6, 2024
Differences in the Incidence of Sterile Inflammation After Trabectedin Infusion With Two Central Venous Port Systems: A Retrospective Study
Takatoshi Kubo, Koichiro Yasaka, Hiroshi Kobayashi
Radiology
|
October 24, 2017
Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study
Koichiro Yasaka, Hiroyuki Akai, Osamu Abe, et al.
Japanese Journal of Radiology
|
August 9, 2025
Reducing motion artifacts in the aorta: super-resolution deep learning reconstruction with motion reduction algorithm
Koichiro Yasaka, Rin Tsujimoto, Rintaro Miyo, et al.
Emergency Radiology
|
June 1, 2025
Fine-tuned large Language model for extracting newly identified acute brain infarcts based on computed tomography or magnetic resonance imaging reports
Nana Fujita, Koichiro Yasaka, Shigeru Kiryu, et al.
Page
of 12