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Richard S Ha

Showing results (1-10 of 7) with videos related to

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Clinical Imaging|November 13, 2018
Insights into innovative breast imaging techniquesLauren Friedlander, Richard S Ha
Journal of Magnetic Resonance Imaging : JMRI|June 25, 2017
Does breast MRI background parenchymal enhancement indicate metabolic activity? Qualitative and 3D quantitative computer imaging analysisEralda Mema, Victoria L Mango, Xiaotao Guo, et al.
Biomedical Optics Express|August 28, 2019
Diffuse optical tomography of the breast: a potential modifiable biomarker of breast cancer risk with neoadjuvant chemotherapyMirella L Altoe, Alessandro Marone, Hyun K Kim, et al.
Computers in Biology and Medicine|February 3, 2022
Deep learning prediction of axillary lymph node status using ultrasound imagesShawn Sun, Simukayi Mutasa, Michael Z Liu, et al.
Academic Radiology|July 21, 2019
Fully Automated Postlumpectomy Breast Margin Assessment Utilizing Convolutional Neural Network Based Optical Coherence Tomography Image Classification MethodDiana Mojahed, Richard S Ha, Peter Chang, et al.
Breast Cancer Research and Treatment|May 16, 2022
Use of a convolutional neural network-based mammographic evaluation to predict breast cancer recurrence among women with hormone receptor-positive operable breast cancerJulia E McGuinness, Vicky Ro, Simukayi Mutasa, et al.
Diagnostics (Basel, Switzerland)|May 13, 2026
Training AI to Improve Distinction of Triple-Negative Invasive Breast Cancer from Cysts and Fibroadenomas on UltrasoundWendie A Berg, Andriy I Bandos, Linda H Larsen, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Clinical Imaging|November 13, 2018
Insights into innovative breast imaging techniquesLauren Friedlander, Richard S Ha
Journal of Magnetic Resonance Imaging : JMRI|June 25, 2017
Does breast MRI background parenchymal enhancement indicate metabolic activity? Qualitative and 3D quantitative computer imaging analysisEralda Mema, Victoria L Mango, Xiaotao Guo, et al.
Biomedical Optics Express|August 28, 2019
Diffuse optical tomography of the breast: a potential modifiable biomarker of breast cancer risk with neoadjuvant chemotherapyMirella L Altoe, Alessandro Marone, Hyun K Kim, et al.
Computers in Biology and Medicine|February 3, 2022
Deep learning prediction of axillary lymph node status using ultrasound imagesShawn Sun, Simukayi Mutasa, Michael Z Liu, et al.
Academic Radiology|July 21, 2019
Fully Automated Postlumpectomy Breast Margin Assessment Utilizing Convolutional Neural Network Based Optical Coherence Tomography Image Classification MethodDiana Mojahed, Richard S Ha, Peter Chang, et al.
Breast Cancer Research and Treatment|May 16, 2022
Use of a convolutional neural network-based mammographic evaluation to predict breast cancer recurrence among women with hormone receptor-positive operable breast cancerJulia E McGuinness, Vicky Ro, Simukayi Mutasa, et al.
Diagnostics (Basel, Switzerland)|May 13, 2026
Training AI to Improve Distinction of Triple-Negative Invasive Breast Cancer from Cysts and Fibroadenomas on UltrasoundWendie A Berg, Andriy I Bandos, Linda H Larsen, et al.
Pageof 1