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Richard Ha
ORCID
Publication Activity (10 Years)
Years Active: 2018-2021
Publications (10 Years): 6
Top Topics
Magnetic Resonance Imaging
Breast Mri
Mri Data
Convolutional Neural Networks
Top Venues
J. Digit. Imaging
Comput. Biol. Medicine
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Publications
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Yu-Cheng Liu
,
Yulin Liu
,
Rami Vanguri
,
Daniel Litwiller
,
Michael Z. Liu
,
Hao-Yun Hsu
,
Richard Ha
,
Hiram Shaish
,
Sachin Jambawalikar
3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices.
J. Digit. Imaging
34 (5) (2021)
Michael Z. Liu
,
Rami Vanguri
,
Simukayi Mutasa
,
Richard Ha
,
Yu-Cheng Liu
,
Terry Button
,
Sachin Jambawalikar
Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification.
Comput. Biol. Medicine
122 (2020)
Richard Ha
,
Peter D. Chang
,
Eralda Mema
,
Simukayi Mutasa
,
Jenika Karcich
,
Ralph T. Wynn
,
Michael Z. Liu
,
Sachin Jambawalikar
Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement.
J. Digit. Imaging
32 (1) (2019)
Richard Ha
,
Christine Chin
,
Jenika Karcich
,
Michael Z. Liu
,
Peter D. Chang
,
Simukayi Mutasa
,
Eduardo Pascual Van Sant
,
Ralph T. Wynn
,
Eileen Connolly
,
Sachin Jambawalikar
Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.
J. Digit. Imaging
32 (5) (2019)
Richard Ha
,
Simukayi Mutasa
,
Jenika Karcich
,
Nishant Gupta
,
Eduardo Pascual Van Sant
,
John Nemer
,
Mary Sun
,
Peter D. Chang
,
Michael Z. Liu
,
Sachin Jambawalikar
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.
J. Digit. Imaging
32 (2) (2019)
Richard Ha
,
Peter D. Chang
,
Jenika Karcich
,
Simukayi Mutasa
,
Reza Fardanesh
,
Ralph T. Wynn
,
Michael Z. Liu
,
Sachin Jambawalikar
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.
J. Digit. Imaging
31 (6) (2018)