Hyunsuk Shim

发表

Pseudo CT Estimation using Patch-based Joint Dictionary Learning

Yang Lei, Sibo Tian, Tian Liu, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Quantitative tumor segmentation for evaluation of extent of glioblastoma resection to facilitate multisite clinical trials.

Eduard Schreibmann, Hyunsuk Shim, James S Cordova, 2014, Translational oncology.

The Brain Imaging Collaboration Suite (BrICS): A Cloud Platform for Integrating Whole-Brain Spectroscopic MRI into the Radiation Therapy Planning Workflow

Eduard Schreibmann, Andrew Maudsley, Hui-Kuo Shu, 2019, Tomography.

Pseudo CT estimation from MRI using patch-based random forest

Yang Lei, Tian Liu, Xiaofeng Yang, 2017, Medical Imaging.

MRI-based synthetic CT generation using deep convolutional neural network

Yang Lei, Sibo Tian, Tian Liu, 2019, Medical Imaging: Image Processing.

MRI-based attenuation correction for brain PET/MRI based on anatomic signature and machine learning

Yang Lei, Walter J Curran, Xiaofeng Yang, 2019, Physics in medicine and biology.

High-resolution CT image retrieval using sparse convolutional neural network

Tian Liu, Dong Xu, Yang Lei, 2018, Medical Imaging.

Attenuation and Scatter Correction for Whole-body PET Using 3D Generative Adversarial Networks

Yang Lei, Xiaofeng Yang, Hui Mao, 2019 .

A convolutional neural network to filter artifacts in spectroscopic MRI

Eduard Schreibmann, Peter B Barker, Andrew A Maudsley, 2018, Magnetic resonance in medicine.

SU-E-J-139: Fuzzy Clustering Segmentation of Glioblastoma in T1-MRI Imaging for Clinical Trials.

Eduard Schreibmann, Hyunsuk Shim, Ying Guo, 2014, Medical physics.

Improving image quality of cone-beam CT using alternating regression forest

Tian Liu, Yang Lei, Xiaofeng Yang, 2018, Medical Imaging.

MRI-based pseudo CT synthesis using anatomical signature and alternating random forest with iterative refinement model

Tian Liu, Yang Lei, Sibo Tian, 2018, Journal of medical imaging.

MRI-based pseudo CT generation using classification and regression random forest

Yang Lei, Tian Liu, Joseph Harms, 2019, Medical Imaging.

MRI-based Attenuation Correction for PET/MRI: A Novel Approach Combining Anatomic Signature and Machine Learning

Yang Lei, Walter J. Curran, Tian Liu, 2018 .

Magnetic resonance imaging-based pseudo computed tomography using anatomic signature and joint dictionary learning

Tian Liu, Yang Lei, Sibo Tian, 2018, Journal of medical imaging.

Use of high-resolution volumetric MR spectroscopic imaging in assessing treatment response of glioblastoma to an HDAC inhibitor.

Hyunsuk Shim, Ying Guo, Chad A Holder, 2014, AJR. American journal of roentgenology.

Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients.

Eduard Schreibmann, Hyunsuk Shim, James S Cordova, 2016, Neuro-oncology.

Simulating the Effect of Spectroscopic MRI as a Metric for Radiation Therapy Planning in Patients with Glioblastoma

Eduard Schreibmann, Hui-Kuo Shu, Hyunsuk Shim, 2016, Tomography.

Magnetic Resonance Spectroscopic Imaging of Tumor Metabolic Markers for Cancer Diagnosis, Metabolic Phenotyping, and Characterization of Tumor Microenvironment

Hyunsuk Shim, Douglas L. Rothman, Dikoma C. Shungu, 2004, Disease markers.

Incorporation of a spectral model in a convolutional neural network for accelerated spectral fitting

Andrew A Maudsley, Hyunsuk Shim, Sulaiman Sheriff, 2019, Magnetic resonance in medicine.

Involvement of miR-326 in chemotherapy resistance of breast cancer through modulating expression of multidrug resistance-associated protein 1.

Hyunsuk Shim, Ke Huang, Zhongxing Liang, 2010, Biochemical pharmacology.

Semi-Automated Volumetric and Morphological Assessment of Glioblastoma Resection with Fluorescence-Guided Surgery

Eduard Schreibmann, Hyunsuk Shim, Ying Guo, 2016, Molecular Imaging and Biology.

Vasculostatin inhibits intracranial glioma growth and negatively regulates in vivo angiogenesis through a CD36-dependent mechanism.

Hyunsuk Shim, Zhaobin Zhang, Daniel J Brat, 2009, Cancer research.

Metabolic positron emission tomography imaging in cancer detection and therapy response.

Hyunsuk Shim, H. Shim, Aizhi Zhu, 2011, Seminars in oncology.

MRI-Based Synthetic CT for Radiation Treatment of Prostate Cancer

Yang Lei, Xiaofeng Yang, Tian Liu, 2018, International Journal of Radiation Oncology*Biology*Physics.

ePoster SessionsA Learning-Based Approach to Derive Electron Density from Anatomical MRI for Radiation Therapy Treatment Planning

Yang Lei, Xiaofeng Yang, Tian Liu, 2017 .

A Software Platform for Collaborative Radiation Therapy Planning Using Spectroscopic MRI

Eduard Schreibmann, Lee Cooper, Hyunsuk Shim, 2017 .

A Systematic Pipeline for the Objective Comparison of Whole-Brain Spectroscopic MRI with Histology in Biopsy Specimens from Grade 3 Glioma

Eduard Schreibmann, Lee A. D. Cooper, Hyunsuk Shim, 2016, Tomography.

Discovery of small molecule CXCR4 antagonists.

Hyunsuk Shim, James P Snyder, Dennis C Liotta, 2007, Journal of medicinal chemistry.

LPA2 receptor mediates mitogenic signals in human colon cancer cells.

Hyunsuk Shim, Hong Sun, Raluca Rusovici, 2005, American journal of physiology. Cell physiology.

Cancer scene investigation: how a cold virus became a tumor killer.

Hyunsuk Shim, Erwin G. Van Meir, H. Shim, 2005, Future oncology.

Current approaches to the treatment of metastatic brain tumours

Steven N. Kalkanis, Hyunsuk Shim, Hui-Kuo G. Shu, 2014, Nature Reviews Clinical Oncology.

Letter to cancer center directors: Progress in quantitative imaging as a means to predict and/or measure tumor response in cancer therapy trials.

Paul E Kinahan, Thomas E Yankeelov, John M Buatti, 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Regulation of miR-19 to Breast Cancer Chemoresistance Through Targeting PTEN

Hyunsuk Shim, Ke Huang, Zhongxing Liang, 2011, Pharmaceutical Research.