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Clinical Imaging
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October 1, 2021
Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis
David Schmidt, Johannes Ulén, Olof Enqvist, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
November 11, 2008
Computer-assisted interpretation of planar whole-body bone scans
May Sadik, Iman Hamadeh, Pierre Nordblom, et al.
BMC Medical Imaging
|
April 5, 2012
Semi-automatic analysis of standard uptake values in serial PET/CT studies in patients with lung cancer and lymphoma
John Ly, Sabine Garpered, Peter Höglund, et al.
Clinical Physiology and Functional Imaging
|
June 24, 2005
A new automated method for analysis of gated-SPECT images based on a three-dimensional heart shaped model
Milan Lomsky, Jens Richter, Lena Johansson, et al.
EJNMMI Research
|
February 7, 2013
Bone Scan Index: a prognostic imaging biomarker for high-risk prostate cancer patients receiving primary hormonal therapy
Reza Kaboteh, Jan-Erik Damber, Peter Gjertsson, et al.
Journal of Electrocardiology
|
September 23, 2008
In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department
Jakob L Forberg, Michael Green, Jonas Björk, et al.
Seminars in Nuclear Medicine
|
June 25, 2023
Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging
Sarah Lindgren Belal, Sophia Frantz, David Minarik, et al.
European Radiology Experimental
|
November 19, 2021
Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer
Thomas Ying, Pablo Borrelli, Lars Edenbrandt, et al.
Scandinavian Journal of Urology
|
May 3, 2024
A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria
Suleiman Abuhasanein, Lars Edenbrandt, Olof Enqvist, et al.
Osteoporosis and Sarcopenia
|
July 22, 2024
AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans
Thomas Ying, Pablo Borrelli, Lars Edenbrandt, et al.
Page
of 13
Search research articles
Search
Showing results (61-70 of 130) with videos related to
Sort By:
Page
of 13
Clinical Imaging
|
October 1, 2021
Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis
David Schmidt, Johannes Ulén, Olof Enqvist, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
November 11, 2008
Computer-assisted interpretation of planar whole-body bone scans
May Sadik, Iman Hamadeh, Pierre Nordblom, et al.
BMC Medical Imaging
|
April 5, 2012
Semi-automatic analysis of standard uptake values in serial PET/CT studies in patients with lung cancer and lymphoma
John Ly, Sabine Garpered, Peter Höglund, et al.
Clinical Physiology and Functional Imaging
|
June 24, 2005
A new automated method for analysis of gated-SPECT images based on a three-dimensional heart shaped model
Milan Lomsky, Jens Richter, Lena Johansson, et al.
EJNMMI Research
|
February 7, 2013
Bone Scan Index: a prognostic imaging biomarker for high-risk prostate cancer patients receiving primary hormonal therapy
Reza Kaboteh, Jan-Erik Damber, Peter Gjertsson, et al.
Journal of Electrocardiology
|
September 23, 2008
In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department
Jakob L Forberg, Michael Green, Jonas Björk, et al.
Seminars in Nuclear Medicine
|
June 25, 2023
Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging
Sarah Lindgren Belal, Sophia Frantz, David Minarik, et al.
European Radiology Experimental
|
November 19, 2021
Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer
Thomas Ying, Pablo Borrelli, Lars Edenbrandt, et al.
Scandinavian Journal of Urology
|
May 3, 2024
A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria
Suleiman Abuhasanein, Lars Edenbrandt, Olof Enqvist, et al.
Osteoporosis and Sarcopenia
|
July 22, 2024
AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans
Thomas Ying, Pablo Borrelli, Lars Edenbrandt, et al.
Page
of 13