Richard S. Ha

发表

Understanding artificial intelligence based radiology studies: What is overfitting?

Shawn H. Sun, S. Mutasa, R. Ha, 2020, Clinical imaging.

Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018.

Simukayi Mutasa, Richard Ha, S. Mutasa, 2019, AJR. American journal of roentgenology.

Breast MRI screening for average‐risk women: A monte carlo simulation cost–benefit analysis

E. Mema, R. Ha, Victoria L. Mango, 2019, Journal of magnetic resonance imaging : JMRI.

Enhanced Axillary Evaluation Using Reflector‐Guided Sentinel Lymph Node Biopsy: A Prospective Feasibility Study and Comparison With Conventional Lymphatic Mapping Techniques

B. Taback, R. Ha, Priya Jadeja, 2018, Clinical breast cancer.

Reflector-guided breast tumor localization versus wire localization for lumpectomies: A comparison of surgical outcomes.

Ralph T. Wynn, R. Ha, S. Feldman, 2018, Clinical imaging.

Evaluation of association between degree of background parenchymal enhancement on MRI and breast cancer subtype.

Ralph T. Wynn, E. Mema, R. Ha, 2018, Clinical imaging.

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

Richard Ha, Peter D. Chang, Eralda Mema, 2018, Journal of Digital Imaging.

Three-Dimensional Quantitative Validation of Breast Magnetic Resonance Imaging Background Parenchymal Enhancement Assessments.

Eralda Mema, Ralph T. Wynn, Binsheng Zhao, 2016, Current problems in diagnostic radiology.

Characteristics and outcome of enhancing foci followed on breast MRI with management implications.

Ralph T. Wynn, Janice S. Sung, E. Morris, 2014, Clinical radiology.

Breast magnetic resonance imaging: management of an enhancing focus.

C. Comstock, Richard S. Ha, 2014, Radiologic clinics of North America.

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

Simukayi Mutasa, Jenika Karcich, Ralph T. Wynn, 2018, Journal of Digital Imaging.

Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment.

Ralph T. Wynn, R. Ha, R. Wynn, 2020, AJR. American journal of roentgenology.

Innovations in image-guided preoperative breast lesion localization.

Richard Ha, R. Ha, Victoria L. Mango, 2018, The British journal of radiology.

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

Simukayi Mutasa, Jenika Karcich, Sachin Jambawalikar, 2019, Academic radiology.

Cystic metastatic lymph nodes in malignant melanoma: a case report.

E. Mema, B. Taback, Emma S Cho, 2017, Clinical imaging.

Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score

Simukayi Mutasa, Jenika Karcich, Kevin Kalinsky, 2018, Journal of magnetic resonance imaging : JMRI.

Patient Selection for Ductal Carcinoma In Situ Observation Trials: Are the Lesions Truly Low Risk?

B. Taback, R. Ha, G. Patel, 2018, AJR. American journal of roentgenology.

Use of a convolutional neural network-based mammographic evaluation to predict breast cancer recurrence among women with hormone receptor-positive operable breast cancer

S. Mutasa, D. Hershman, R. Ha, 2022, Breast Cancer Research and Treatment.

Artifacts in Breast Magnetic Resonance Imaging.

Ralph T. Wynn, Richard Ha, Dustin Nguyen, 2016, Current problems in diagnostic radiology.

Deep learning prediction of axillary lymph node status using ultrasound images

Shawn H. Sun, S. Jambawalikar, S. Mutasa, 2022, Comput. Biol. Medicine.

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

Ralph T. Wynn, Lauren C Friedlander, Victoria L. Mango, 2019, Academic radiology.

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

Richard Ha, Peter D. Chang, Simukayi Mutasa, 2019, Journal of Digital Imaging.

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

Ralph T. Wynn, S. Jambawalikar, P. Chang, 2018, Journal of Digital Imaging.

Breast cancer molecular subtype as a predictor of the utility of preoperative MRI.

Ralph T. Wynn, Richard Ha, R. Ha, 2015, AJR. American journal of roentgenology.

A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database.

Simukayi Mutasa, Sachin Jambawalikar, Peter Chang, 2020, Magnetic resonance imaging.

Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI.

R. Vanguri, Haifang Li, S. Jambawalikar, 2019, Clinical breast cancer.

Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset

Richard Ha, Peter D. Chang, Simukayi Mutasa, 2018, Journal of Digital Imaging.

Fully Automated Postlumpectomy Breast Margin Assessment Utilizing Convolutional Neural Network Based Optical Coherence Tomography Image Classification Method.

Yu Gan, Christine P Hendon, Diana Mojahed, 2020, Academic radiology.

In the Setting of Negative Mammogram, Is Additional Breast Ultrasound Necessary for Evaluation of Breast Pain?

Ralph T. Wynn, E. Mema, B. Taback, 2019, Current problems in diagnostic radiology.

Emerging uses of artificial intelligence in breast and axillary ultrasound.

Michael Z. Liu, Christopher Trepanier, Richard S. Ha, 2023, Clinical imaging.

Potential Role of Convolutional Neural Network Based Algorithm in Patient Selection for DCIS Observation Trials Using a Mammogram Dataset.

Simukayi Mutasa, Jenika Karcich, Peter Chang, 2020, Academic radiology.

Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification

Yucheng Liu, Simukayi Mutasa, Sachin Jambawalikar, 2020, Comput. Biol. Medicine.

Editorial for “Stromal Collagen Content in Breast Tumors Correlates With in vivo Diffusion‐Weighted Imaging: A Comparison of Multi b‐Value DWI With Histologic Specimen From Benign and Malignant Breast Lesions”

S. Partridge, H. Rahbar, R. Ha, 2020, Journal of magnetic resonance imaging : JMRI.

Global trend in breast cancer imaging research 1992-2012: bibliometric study.

Ralph T. Wynn, D. Chow, Richard S. Ha, 2014, AJR. American journal of roentgenology.

Optical Coherence Tomography: A Novel Imaging Method for Post-lumpectomy Breast Margin Assessment-A Multi-reader Study.

Hanina Hibshoosh, Sheldon Feldman, Brian C Wilson, 2018, Academic radiology.

Increased rates of authorship in radiology publications: a bibliometric analysis of 142,576 articles published worldwide by radiologists between 1991 and 2012.

C. Filippi, D. Chow, Richard S. Ha, 2015, AJR. American journal of roentgenology.

A Single-Institution Experience in the Preoperative Selection of DCIS Patients for IORT using the ASTRO Consensus Guidelines

E. Connolly, B. Taback, R. Ha, 2018, Advances in radiation oncology.

Utility of preoperative breast MRI in patient selection for accelerated partial breast irradiation by different consensus guidelines

Ralph T. Wynn, E. Connolly, D. Hershman, 2017, The breast journal.

Evaluation of Partial Breast Reirradiation with Intraoperative Radiotherapy after Prior Thoracic Radiation: A Single-Institution Report of Outcomes and Toxicity

E. Connolly, B. Taback, R. Ha, 2017, Front. Oncol..

Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast.

P. Chang, Mary Sun, Maham Siddique, 2020, Clinical breast cancer.

Expanding the Criteria for Nipple‐Sparing Mastectomy in Patients With Poor Prognostic Features

E. Connolly, B. Taback, C. Rohde, 2018, Clinical breast cancer.

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

E. Morris, M. Jochelson, Victoria L. Mango, 2019, Clinical imaging.

3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices

Hao-Yun Hsu, Sachin Jambawalikar, Richard Ha, 2021, Journal of Digital Imaging.

Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study.

Eralda Mema, Ralph T. Wynn, Binsheng Zhao, 2016, Quantitative imaging in medicine and surgery.

Ultrasonographic features and clinical implications of benign palpable breast lesions in young women

Ralph T. Wynn, C. Comstock, Victoria L. Mango, 2014, Ultrasonography.

The Contact Zone: A Common Site of Tumor Recurrence in a Patient Who Underwent Skin-Sparing Mastectomy and Myocutaneous Flap Reconstruction.

Ralph T. Wynn, R. Ha, R. Wynn, 2016, Current problems in diagnostic radiology.

Beyond Wires and Seeds: Reflector-guided Breast Lesion Localization and Excision.

Ralph T. Wynn, R. Ha, S. Feldman, 2017, Radiology.