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Medicine

D-Index
87
Citations
27587
World Ranking
13653
National Ranking
46

Overview

Woo Kyung Moon is affiliated with Seoul National University Hospital in South Korea. Their research primarily spans the field of Medicine, with a strong focus on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine, Oncology, and Pulmonary and Respiratory Medicine.

The scientist's work centers around several specialized topics including:

  • MRI in cancer diagnosis
  • Radiomics and Machine Learning in Medical Imaging
  • Breast Lesions and Carcinomas
  • Breast Cancer Treatment Studies
  • Advanced MRI Techniques and Applications
  • AI in cancer detection
  • Advanced Neuroimaging Techniques and Applications

Recent published papers by Woo Kyung Moon highlight a focus on breast cancer and computer-aided diagnosis. Notable publications include:

  • "Axillary Nodal Evaluation in Breast Cancer: State of the Art", 2020, Radiology
  • "Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks", 2020, Computer Methods and Programs in Biomedicine
  • "Factors Affecting Pathologic Complete Response Following Neoadjuvant Chemotherapy in Breast Cancer: Development and Validation of a Predictive Nomogram", 2021, Radiology
  • "Diffusion-Weighted Magnetic Resonance Imaging of the Breast: Standardization of Image Acquisition and Interpretation", 2020, Korean Journal of Radiology
  • "No axillary surgical treatment for lymph node-negative patients after ultra-sonography [NAUTILUS]: protocol of a prospective randomized clinical trial", 2022, BMC Cancer

Woo Kyung Moon collaborates frequently with several researchers, including:

  • Jung Min Chang
  • Su Hyun Lee
  • Su Min Ha
  • Soo-Yeon Kim
  • Nariya Cho

The scientist has contributed extensively to several publication venues. The most frequent of these include:

  • Korean Journal of Radiology
  • Radiology
  • Journal of Breast Cancer
  • Breast Cancer Research and Treatment
  • Computer Methods and Programs in Biomedicine

Overall, Woo Kyung Moon's research output emphasizes imaging techniques, cancer diagnosis with a special interest in breast cancer, and the integration of machine learning methods in medical image analysis. Their work contributes to advancing standardized imaging protocols and improving diagnostic accuracy in oncologic radiology.

Best Publications

  • Multifunctional Uniform Nanoparticles Composed of a Magnetite Nanocrystal Core and a Mesoporous Silica Shell for Magnetic Resonance and Fluorescence Imaging and for Drug Delivery

    Jaeyun Kim;Hoe Suk Kim;Nohyun Lee;Taeho Kim

  • Uniform Mesoporous Dye-Doped Silica Nanoparticles Decorated with Multiple Magnetite Nanocrystals for Simultaneous Enhanced Magnetic Resonance Imaging, Fluorescence Imaging, and Drug Delivery

    Ji Eun Lee;Nohyun Lee;Hyoungsu Kim;Jaeyun Kim

  • Nonblinking and Nonbleaching Upconverting Nanoparticles as an Optical Imaging Nanoprobe and T1 Magnetic Resonance Imaging Contrast Agent

    Yong Il Park;Jeong Hyun Kim;Kang Taek Lee;Ki Seok Jeon

  • Theranostic Probe Based on Lanthanide-Doped Nanoparticles for Simultaneous In Vivo Dual-Modal Imaging and Photodynamic Therapy

    Yong Il Park;Hyung Min Kim;Jeong Hyun Kim;Kyung Chul Moon

  • Clinical application of shear wave elastography (SWE) in the diagnosis of benign and malignant breast diseases

    Jung Min Chang;Wookyung Moon;Nariya Cho;Ann Yi

  • Large-Scale Synthesis of Bioinert Tantalum Oxide Nanoparticles for X-ray Computed Tomography Imaging and Bimodal Image-Guided Sentinel Lymph Node Mapping

    Myoung Hwan Oh;Nohyun Lee;Hyoungsu Kim;Seung Pyo Park

  • Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features

    Segyeong Joo;Yoon Seok Yang;Woo Kyung Moon;Hee Chan Kim

  • Water-dispersible ferrimagnetic iron oxide nanocubes with extremely high r₂ relaxivity for highly sensitive in vivo MRI of tumors.

    Nohyun Lee;Yoonseok Choi;Youjin Lee;Mihyun Park

  • Diffusion-weighted MR imaging: pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.

    Sang Hee Park;Woo Kyung Moon;Nariya Cho;In Chan Song

  • Computer?aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks

    Woo Kyung Moon;Yan Wei Lee;Hao Hsiang Ke;Su Hyun Lee

  • Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors.

    Ruey Feng Chang;Wen Jie Wu;Wookyung Moon;Dar Ren Chen

  • US of mammographically detected clustered microcalcifications.

    Woo Kyung Moon;Jung-Gi Im;Young Hwan Koh;Dong-Young Noh

  • Axillary Nodal Evaluation in Breast Cancer: State of the Art.

    Jung Min Chang;Jessica W T Leung;Linda Moy;Su Min Ha

  • Nonpalpable breast masses: evaluation by US elastography.

    Nariya Cho;Woo Kyung Moon;Jeong Seon Park;Joo Hee Cha

  • Sonoelastographic strain index for differentiation of benign and malignant nonpalpable breast masses.

    Nariya Cho;Woo Kyung Moon;Ha Young Kim;Jung Min Chang

  • A microengineered pathophysiological model of early-stage breast cancer

    Yoonseok Choi;Eunjeh Hyun;Jeongyun Seo;Cassidy Blundell

  • Magnetosome-like ferrimagnetic iron oxide nanocubes for highly sensitive MRI of single cells and transplanted pancreatic islets

    Nohyun Lee;Hyoungsu Kim;Seung Hong Choi;Mihyun Park

  • Comparison of shear-wave and strain ultrasound elastography in the differentiation of benign and malignant breast lesions.

    Jung Min Chang;Jae Kyung Won;Kyoung Bun Lee;In Ae Park

  • Pregnancy- and lactation-associated breast cancer: mammographic and sonographic findings.

    Bo Young Ahn;Hak Hee Kim;Woo Kyung Moon;Etta D. Pisano

  • Right paratracheal air cysts in the thoracic inlet: clinical and radiologic significance.

    Jin Mo Goo;J.-G. Im;Joong Mo Ahn;Woo Kyung Moon

Frequent Co-Authors

Ruey-Feng Chang
Ruey-Feng Chang National Taiwan University
Dong-Young Noh
Dong-Young Noh Seoul National University
Seock-Ah Im
Seock-Ah Im Seoul National University Hospital
Taeghwan Hyeon
Taeghwan Hyeon Seoul National University
Nohyun Lee
Nohyun Lee Kookmin University
Byung Ihn Choi
Byung Ihn Choi Seoul National University
Se-Hoon Lee
Se-Hoon Lee Sungkyunkwan University
Dong Soo Lee
Dong Soo Lee Seoul National University
Kyong Soo Park
Kyong Soo Park Seoul National University Hospital
Dae Seog Heo
Dae Seog Heo Seoul National University Hospital

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