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MRI: Page 159
Video from ISMRM 2019: Jong Chul Ye on machine learning and data reconstruction
MONTREAL - While most of the focus on machine learning in radiology has been image interpretation, Jong Chul Ye, PhD, of the Korea Advanced Institute of Science and Technology (KAIST) in South Korea believes that data reconstruction is also a fertile area for deep learning. He explains in this video from the International Society for Magnetic Resonance in Medicine (ISMRM) conference.
May 14, 2019
ISMRM: Deep learning moves toward clinical practice
By
Erik L. Ridley
MONTREAL - The number of deep-learning algorithms available for radiology applications is rapidly increasing, and it's time to figure out how to make these tools clinically relevant, according to a presentation Tuesday at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.
May 14, 2019
Video from ISMRM 2019: Dr. Bradley Erickson on machine learning and clinical MRI
MONTREAL - Machine learning in MRI was the focus of Tuesday's plenary session at the International Society for Magnetic Resonance in Medicine (ISMRM). Dr. Bradley Erickson, PhD, of Mayo Clinic focused on clinical applications of machine learning, and he shares his thoughts in this video from the meeting.
May 14, 2019
Video from ISMRM 2019: Tal Arbel on machine learning and image analysis
MONTREAL - Machine learning in MRI was the focus of Tuesday's plenary session at the International Society for Magnetic Resonance in Medicine (ISMRM). In this video, Tal Arbel, PhD, of McGill University explains how machine learning is already improving scientific research into multiple sclerosis.
May 14, 2019
Video from ISMRM 2019: Larry Wald on new portable MRI designs
MONTREAL - MRI is known for a lot of things, but portability isn't one of them. That could change if work on portable MRI scanners comes to fruition. Larry Wald, PhD, of Massachusetts General Hospital and Harvard Medical School discusses his group's work in this video from the International Society for Magnetic Resonance in Medicine (ISMRM) conference.
May 14, 2019
Video from ISMRM 2019: Jong Chul Ye on machine learning and data reconstruction
While most of the focus on machine learning in radiology has been image interpretation, Jong Chul Ye, PhD, of the Korea Advanced Institute of Science and Technology (KAIST) in South Korea believes that data reconstruction is also a fertile area for deep learning. He explains in this video from the International Society for Magnetic Resonance in Medicine (ISMRM) conference.
May 14, 2019
Video from ISMRM 2019: Tal Arbel on machine learning and image analysis
Machine learning in MRI was the focus of Tuesday's plenary session at the International Society for Magnetic Resonance in Medicine (ISMRM). In this video, Tal Arbel, PhD, of McGill University explains how machine learning is already improving scientific research into multiple sclerosis.
May 14, 2019
Video from ISMRM 2019: Dr. Bradley Erickson on machine learning and clinical MRI
Machine learning in MRI was the focus of Tuesday's plenary session at the International Society for Magnetic Resonance in Medicine (ISMRM). Dr. Bradley Erickson, PhD, of Mayo Clinic focused on clinical applications of machine learning, and he shares his thoughts in this video from the meeting.
May 14, 2019
Video from ISMRM 2019: Dr. Hedvig Hricak on disruptors in MRI interpretation
MONTREAL - Monday morning's talks on disruptors in MRI came to a close with a talk on disruption in the interpretation of MRI data by Dr. Hedvig Hricak, PhD, of Memorial Sloan Kettering Cancer Center. She sees artificial intelligence as having a major potential impact on MRI interpretation, but there are challenges to overcome along the way.
May 14, 2019
ISMRM: Breast MRI confirms lymph node response to therapy
By
Wayne Forrest
MONTREAL - MRI is a reliable way to validate changes in axillary lymph node volume and shape in situ in breast cancer patients after neoadjuvant chemotherapy, according to a study presented Monday at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.
May 13, 2019
Video from ISMRM 2019: Andrew Webb on disruptors to MRI acquisition
MONTREAL - MRI is one of the most powerful technologies in healthcare, but some 70% of the world lacks access to it. Could this change by disruption in the way MRI data are acquired? Andrew Webb, PhD, from Leiden University Medical Center discusses work underway to make MRI more accessible in this video from the International Society for Magnetic Resonance in Medicine (ISMRM).
May 13, 2019
Video from ISMRM 2019: Mark Griswold on disruptors in MRI visualization
MONTREAL - Disruptors in MRI was the topic of the Monday morning sessions at the International Society for Magnetic Resonance in Medicine (ISMRM) meeting this week. In this video, Mark Griswold, PhD, of Case Western Reserve University describes the disruptive potential of new visualization technologies, especially holographic visualization and mixed reality.
May 13, 2019
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