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All papers authored by Richard Ha

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2019 Richard Ha

ORCID

, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John Nemer, Mary Sun, Peter Chang, Michael Z. Liu, Sachin Jambawalikar

ORCID

Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm

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Victoria L. Mango, Donna D'Alessio, Elizabeth A. Morris, Richard Ha

ORCID

, Blanca Bernard-Davila, Maxine S. Jochelson

Stereotactic breast biopsy efficiency: Does a pre-biopsy grid image help?

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2018 Richard Ha

ORCID

, Christine Chin, Jenika Karcich, Michael Z. Liu, Peter Chang, Simukayi Mutasa, Eduardo Pascual Van Sant, Ralph T. Wynn, Eileen Connolly, Sachin Jambawalikar

ORCID

Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset

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This paper was not found in any repository, but could be made available legally by the author.

Richard Ha

ORCID

, Peter Chang, Eralda Mema, Simukayi Mutasa, Jenika Karcich, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar

ORCID

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement

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Richard Ha

ORCID

, Peter Chang, Jenika Karcich, Simukayi Mutasa, Eduardo Pascual Van Sant, Michael Z. Liu, Sachin Jambawalikar

ORCID

Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset

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Sarah Goodman, Victoria Mango, Lauren Friedlander, Elise Desperito

ORCID

, Ralph Wynn, Richard Ha

ORCID

Are Mammographically Occult Additional Tumors Identified More Than 2 Cm Away From the Primary Breast Cancer on MRI Clinically Significant?

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Richard Ha

ORCID

, Peter Chang, Jenika Karcich, Simukayi Mutasa, Reza Fardanesh, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar

ORCID

Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset

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