Michael Z. Liu

发表

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

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

Repeatability of Quantitative Diffusion-Weighted Imaging Metrics in Phantoms, Head-and-Neck and Thyroid Cancers: Preliminary Findings

N. Obuchowski, L. Schwartz, T. Chenevert, 2019, Tomography.

Advanced MR Imaging of the Temporal Bone.

S. Jambawalikar, G. Moonis, Michael Z. Liu, 2019, Neuroimaging clinics of North America.

Evaluation of neonatal brain myelination using the T1‐ and T2‐weighted MRI ratio

J. Grinband, J. Soun, Michael Z. Liu, 2017, Journal of magnetic resonance imaging : JMRI.

The Distal Acoustic Spotlight: a novel method to visualize the distal acoustic space on ultrasound

J. Stember, S. Laifer-Narin, Michael Z. Liu, 2018 .

Accuracy of Distinguishing Atypical Ductal Hyperplasia From Ductal Carcinoma In Situ With Convolutional Neural Network-Based Machine Learning Approach Using Mammographic Image Data.

S. Jambawalikar, S. Mutasa, R. Ha, 2019, AJR. American journal of roentgenology.

Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm

S. Jambawalikar, P. Chang, S. Mutasa, 2018, Annals of Surgical Oncology.

The role of initial chest X-ray in triaging patients with suspected COVID-19 during the pandemic

J. Austin, S. Jambawalikar, M. Salvatore, 2020, Emergency Radiology.

Deep learning prediction of axillary lymph node status using ultrasound images

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

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.

Can diffusion‐weighted imaging serve as a biomarker of fibrosis in pancreatic adenocarcinoma?

E. Hecht, S. Jambawalikar, J. Chabot, 2017, Journal of magnetic resonance imaging : JMRI.

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

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

Weakly Supervised Deep Learning Approach to Breast MRI Assessment.

Shawn H. Sun, S. Jambawalikar, R. Ha, 2021, Academic radiology.

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 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.

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

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

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

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

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 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.

Multi-site, multi-platform comparison of MRI T1 measurement using the system phantom

L. Schwartz, W. Reddick, T. Chenevert, 2021, PloS one.

Deep Learning Approaches with Digital Mammography for Evaluating Breast Cancer Risk, a Narrative Review

Phuong-Anh T. Duong, S. Jambawalikar, Michael Z. Liu, 2023, Tomography.

Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom

L. Schwartz, T. Chenevert, S. Jambawalikar, 2019, Tomography.

Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography

Joseph N Stember, Peter Chang, Danielle M Stember, 2018, 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.

How Many Radiographs Does It Take to Screen for Femoral Cam Morphology?: A Noninferiority Study.

F. Ahmed, Michael Z. Liu, Jonathan K. Kazam, 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.