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Journal of Imaging Informatics in Medicine
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February 6, 2024
Deep Learning-Assisted Diffusion Tensor Imaging for Evaluation of the Physis and Metaphysis
Phuong T Duong, Laura Santos, Hao-Yun Hsu, et al.
Journal of Digital Imaging
|
April 27, 2018
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset
Richard Ha, Peter Chang, Jenika Karcich, et al.
Clinical Breast Cancer
|
July 19, 2020
Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast
Simukayi Mutasa, Peter Chang, John Nemer, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
August 22, 2018
Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score
Richard Ha, Peter Chang, Simukayi Mutasa, et al.
Academic Radiology
|
September 19, 2019
Potential Role of Convolutional Neural Network Based Algorithm in Patient Selection for DCIS Observation Trials Using a Mammogram Dataset
Simukayi Mutasa, Peter Chang, Eduardo P Van Sant, et al.
Breast Cancer Research and Treatment
|
May 20, 2023
Breast cancer risk prediction combining a convolutional neural network-based mammographic evaluation with clinical factors
Alissa Michel, Vicky Ro, Julia E McGuinness, et al.
Computers in Biology and Medicine
|
February 3, 2022
Deep learning prediction of axillary lymph node status using ultrasound images
Shawn Sun, Simukayi Mutasa, Michael Z Liu, et al.
Annals of the American Thoracic Society
|
August 29, 2020
Deep Learning of Computed Tomography Virtual Wedge Resection for Prediction of Histologic Usual Interstitial Pneumonitis
Hiram Shaish, Firas S Ahmed, David Lederer, et al.
Annals of Surgical Oncology
|
July 7, 2018
Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm
Richard Ha, Peter Chang, Jenika Karcich, et al.
Journal of Digital Imaging
|
February 2, 2019
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm
Richard Ha, Simukayi Mutasa, Jenika Karcich, et al.
Page
of 4
Search research articles
Search
Showing results (21-30 of 37) with videos related to
Sort By:
Page
of 4
Journal of Imaging Informatics in Medicine
|
February 6, 2024
Deep Learning-Assisted Diffusion Tensor Imaging for Evaluation of the Physis and Metaphysis
Phuong T Duong, Laura Santos, Hao-Yun Hsu, et al.
Journal of Digital Imaging
|
April 27, 2018
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset
Richard Ha, Peter Chang, Jenika Karcich, et al.
Clinical Breast Cancer
|
July 19, 2020
Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast
Simukayi Mutasa, Peter Chang, John Nemer, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
August 22, 2018
Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score
Richard Ha, Peter Chang, Simukayi Mutasa, et al.
Academic Radiology
|
September 19, 2019
Potential Role of Convolutional Neural Network Based Algorithm in Patient Selection for DCIS Observation Trials Using a Mammogram Dataset
Simukayi Mutasa, Peter Chang, Eduardo P Van Sant, et al.
Breast Cancer Research and Treatment
|
May 20, 2023
Breast cancer risk prediction combining a convolutional neural network-based mammographic evaluation with clinical factors
Alissa Michel, Vicky Ro, Julia E McGuinness, et al.
Computers in Biology and Medicine
|
February 3, 2022
Deep learning prediction of axillary lymph node status using ultrasound images
Shawn Sun, Simukayi Mutasa, Michael Z Liu, et al.
Annals of the American Thoracic Society
|
August 29, 2020
Deep Learning of Computed Tomography Virtual Wedge Resection for Prediction of Histologic Usual Interstitial Pneumonitis
Hiram Shaish, Firas S Ahmed, David Lederer, et al.
Annals of Surgical Oncology
|
July 7, 2018
Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm
Richard Ha, Peter Chang, Jenika Karcich, et al.
Journal of Digital Imaging
|
February 2, 2019
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm
Richard Ha, Simukayi Mutasa, Jenika Karcich, et al.
Page
of 4