분당서울대학교병원에 찾아오시는 길입니다.
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다양하고 유익한 건강상식을 제공해 드립니다.
Jun Sung Kim, Ji Won Han, Jong Bin Bae, Dong Gyu Moon, Jin Shin, Juhee Eliana Kong, Hyungji Lee, Hee Won Yang, Eunji Lim, Jun Yup Kim, Leonard Sunwoo, Se Jin Cho, Dongsoo Lee, Injoong Kim, Sang Won Ha, Min Ju Kang, Chong Hyun Suh, Woo Hyun Shim, Sang Joon Kim, Ki Woong Kim
Deep learning-based diagnosis of Alzheimer's disease using brain magnetic resonance images: an empirical study.
Sci Rep
2022 ;12 (1) :18007 -18007
Hyunjun Jo, Dongwook Seo, Young Deok Kim, Seung Pil Ban, Tackeun Kim, O-Ki Kwon, Chang Wan Oh, Leonard Sunwoo, Beom Joon Kim, Moon-Ku Han, Hee-Joon Bae, Si Un Lee, Jae Seung Bang
Quantitative radiological analysis and clinical outcomes of urgent EC-IC bypass for hemodynamic compromised patients with acute ischemic stroke.
Sci Rep
2022 ;12 (1) :8816 -8816
Hye Youn Park, Ye Eun Jang, Leonard Sunwoo, In-Young Yoon, Bumhee Park
A Longitudinal Study on Attenuated Structural Covariance in Patients With Somatic Symptom Disorder.
Front Psychiatry
2022 ;13 :817527 -817527
Yoon Ah Do, Se Jin Cho, Byung Se Choi, Sung Hyun Baik, Yun Jung Bae, Leonard Sunwoo, Cheolkyu Jung, Jae Hyoung Kim
Predictive accuracy of T2-FLAIR mismatch sign for the IDH-mutant, 1p/19q noncodeleted low-grade glioma: An updated systematic review and meta-analysis.
Neurooncol Adv
2022 ;4 (1) :vdac010 -vdac010
Se Jin Cho, Byung Se Choi, Yun Jung Bae, Jae-Jin Song, Ja-Won Koo, Ji-Soo Kim, Sung Hyun Baik, Leonard Sunwoo, Jae Hyoung Kim
Diagnostic assessment of magnetic resonance imaging for patients with intralabyrinthine schwannoma: A systematic review.
J Neuroradiol
2022 ;49 (1) :41 -46
Se Jin Cho, Yun Jung Bae, Jong-Min Kim, Hyun Jin Kim, Sung Hyun Baik, Leonard Sunwoo, Byung Se Choi, Cheolkyu Jung, Jae Hyoung Kim
Iron-sensitive magnetic resonance imaging in Parkinson's disease: a systematic review and meta-analysis.
J Neurol
2021 ;268 (12) :4721 -4736
Jungheum Cho, Young Jae Kim, Leonard Sunwoo, Gi Pyo Lee, Toan Quang Nguyen, Se Jin Cho, Sung Hyun Baik, Yun Jung Bae, Byung Se Choi, Cheolkyu Jung, Chul-Ho Sohn, Jung-Ho Han, Chae-Yong Kim, Kwang Gi Kim, Jae Hyoung Kim
Deep Learning-Based Computer-Aided Detection System for Automated Treatment Response Assessment of Brain Metastases on 3D MRI.
Front Oncol
2021 ;11 :739639 -739639
Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data.
Med Image Anal
2021 ;71 :102047 -102047
Se Jin Cho, Byung Se Choi, Yun Jung Bae, Sung Hyun Baik, Leonard Sunwoo, Jae Hyoung Kim
Image Findings of Acute to Subacute Craniocervical Arterial Dissection on Magnetic Resonance Vessel Wall Imaging: A Systematic Review and Proportion Meta-Analysis.
Front Neurol
2021 ;12 :586735 -586735
Se Jin Cho, Jae Hyoung Kim, Sung Hyun Baik, Leonard Sunwoo, Yun Jung Bae, Byung Se Choi
Diagnostic performance of MRI of post-laminar optic nerve invasion detection in retinoblastoma: A systematic review and meta-analysis.
Neuroradiology
2021 ;63 (4) :499 -509
Yun Jung Bae, Tae Eun Kim, Byung Se Choi, Woo-Jin Jeong, Se Jin Cho, Sung Hyun Baik, Leonard Sunwoo, Jae Hyoung Kim
Comprehensive assessments of the open mouth dynamic maneuver and metal artifact reduction algorithm on computed tomography images of the oral cavity and oropharynx.
PLoS One
2021 ;16 (3) :e0248696 -e0248696
Se Jin Cho, Yun Jung Bae, Jong-Min Kim, Donghyun Kim, Sung Hyun Baik, Leonard Sunwoo, Byung Se Choi, Jae Hyoung Kim
Diagnostic performance of neuromelanin-sensitive magnetic resonance imaging for patients with Parkinson's disease and factor analysis for its heterogeneity: a systematic review and meta-analysis.
Eur Radiol
2021 ;31 (3) :1268 -1280
Hae Young Kim, Kyeorye Lee, Won Chang, Youngjune Kim, Sungsoo Lee, Dong Yul Oh, Leonard Sunwoo, Yoon Jin Lee, Young Hoon Kim
Robustness of Deep Learning Algorithm to Varying Imaging Conditions in Detecting Low Contrast Objects In Computed Tomography Phantom Images: in Comparison to 12 Radiologists.
Diagnostics (Basel)
2021 ;11 (3)
Yejin Jeon, Kyeorye Lee, Leonard Sunwoo, Dongjun Choi, Dong Yul Oh, Kyong Joon Lee, Youngjune Kim, Jeong-Whun Kim, Se Jin Cho, Sung Hyun Baik, Roh-Eul Yoo, Yun Jung Bae, Byung Se Choi, Cheolkyu Jung, Jae Hyoung Kim
Deep Learning for Diagnosis of Paranasal Sinusitis Using Multi-View Radiographs.
Diagnostics (Basel)
2021 ;11 (2)
Se Jin Cho, Leonard Sunwoo, Sung Hyun Baik, Yun Jung Bae, Byung Se Choi, Jae Hyoung Kim
Brain metastasis detection using machine learning: a systematic review and meta-analysis.
Neuro Oncol
2021 ;23 (2) :214 -225
Jung Hyun Park, Byung Se Choi, Jung Ho Han, Chae-Yong Kim, Jungheum Cho, Yun Jung Bae, Leonard Sunwoo, Jae Hyoung Kim
MRI Texture Analysis for the Prediction of Stereotactic Radiosurgery Outcomes in Brain Metastases from Lung Cancer.
J Clin Med
2021 ;10 (2) :3041 -3050
Y J Kim, W-J Jeong, Y J Bae, H Kim, B S Choi, Y H Jung, S H Baik, L Sunwoo, J H Kim
MRI-Based Assessment of the Pharyngeal Constrictor Muscle as a Predictor of Surgical Margin after Transoral Robotic Surgery in HPV-Positive Tonsillar Cancer.
AJNR Am J Neuroradiol
2020 ;41 (12) :2320 -2326
Kyong Joon Lee, Inseon Ryoo, Dongjun Choi, Leonard Sunwoo, Sung-Hye You, Hye Na Jung
Performance of deep learning to detect mastoiditis using multiple conventional radiographs of mastoid.
PLoS One
2020 ;15 (11) :e0241796 -e0241796
Bum-Sup Jang, Andrew J Park, Seung Hyuck Jeon, Il Han Kim, Do Hoon Lim, Shin-Hyung Park, Ju Hye Lee, Ji Hyun Chang, Kwan Ho Cho, Jin Hee Kim, Leonard Sunwoo, Seung Hong Choi, In Ah Kim
Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07).
Cancers (Basel)
2020 ;12 (9)
Yoseo Han, Leonard Sunwoo, Jong Chul Ye
k -Space Deep Learning for Accelerated MRI.
IEEE Trans Med Imaging
2020 ;39 (2) :377 -386
Gyutaek Oh, Byeongsu Sim, HyungJin Chung, Leonard Sunwoo, Jong Chul Ye
Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN
IEEE Transactions on Computational Imaging
2020 ;6 :1285 - 1296
Yong Dae Kim, Kyoung Jin Noh, Seong Jun Byun, Soochahn Lee, Tackeun Kim, Leonard Sunwoo, Kyong Joon Lee, Si-Hyuck Kang, Kyu Hyung Park, Sang Jun Park
Effects of Hypertension, Diabetes, and Smoking on Age and Sex Prediction from Retinal Fundus Images.
Sci Rep
2020 ;10 (1) :4623 -4623
Jung-Yeon Choi, Leonard Sunwoo, Sun-Wook Kim, Kwang-Il Kim, Cheol-Ho Kim
CHA<sub>2</sub>DS<sub>2</sub>-VASc score, cerebral small vessel disease, and frailty in older patients with atrial fibrillation.
Sci Rep
2020 ;10 (1) :18765 -18765
SUNWOO LEONARD, 이수찬, 이경준, 전창호, 오동렬
Phase-Based Nonrigid Deformation for Digital Subtraction Angiography
IEEE Access
2019
Park Jung Hyun, Bae Yun Jung, Choi Byung Se, Jung Young Ho, Jeong Woo-Jin, Kim Hyojin, Sunwoo Leonard, Jung Cheolkyu, Kim Jae Hyoung
Texture Analysis of Multi-Shot Echo-planar Diffusion-Weighted Imaging in Head and Neck Squamous Cell Carcinoma: The Diagnostic Value for Nodal Metastasis
J CLIN MED
2019 ;8 (11) :1275 -1284
Woo Ilsang, Lee Areum, Jung Seung Chai, Lee Hyunna, Kim Namkug, Cho Se Jin, Kim Donghyun, Lee Jungbin, Sunwoo Leonard, Kang Dong Wha
Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms
KOREAN J RADIOL
2019 ;20 (8) :1275 -1284
Woo Ho Geol, Jung Cheolkyu, Sunwoo Leonard, Bae Yun Jung, Choi Byung Se, Kim Jae Hyoung, Kim Beom Joon, Han Moon-Ku, Bae Hee-Joon, Jung Seunguk, Cha Sang-Hoon
Dichotomizing Level of Pial Collaterals on Multiphase CT Angiography for Endovascular Treatment in Acute Ischemic Stroke: Should It Be Refined for 6-Hour Time Window?
Neurointervention
2019 ;14 (2) :99 -106
Bae Yun Jung, Choi Byung Se, Jeong Woo-Jin, Jung Young Ho, Park Jung Hyun, Sunwoo Leonard, Jung Cheolkyu, Kim Jae Hyoung
Amide Proton Transfer-weighted MRI in the Diagnosis of Major Salivary Gland Tumors
SCI REP-UK
2019 ;9 (1)
Kim Tackeun, Heo Jaehyuk, Jang Dong-Kyu, Sunwoo Leonard, Kim Joonghee, Lee Kyong Joon, Kang Si-Hyuck, Park Sang Jun, Kwon O-Ki, Oh Chang Wan
Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network
EBIOMEDICINE
2019 ;40 :636 -642
Kim Youngjune, Lee Kyong Joon, Sunwoo Leonard, Choi Dongjun, Nam Chang-Mo, Cho Jungheum, Kim Jihyun, Bae Yun Jung, Yoo Roh-Eul, Choi Byung Se, Jung Cheolkyu, Kim Jae Hyoung
Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography
INVEST RADIOL
2019 ;54 (1) :7 -15
Bae Y J, Choi B S, Jeong H-K, Sunwoo L, Jung C, Kim J H
Diffusion-Weighted Imaging of the Head and Neck: Influence of Fat-Suppression Technique and Multishot 2D Navigated Interleaved Acquisitions
AM J NEURORADIOL
2018 ;39 (1) :145 -150
Jung Seunguk, Jung Cheolkyu, Hyoung Kim Jae, Se Choi Byung, Jung Bae Yun, Sunwoo Leonard, Geol Woo Ho, Young Chang Jun, Joon Kim Beom, Han Moon-Ku, Bae Hee-Joon
Procedural and clinical outcomes of endovascular recanalization therapy in patients with cancer-related stroke
INTERV NEURORADIOL
2018 ;24 (5) :520 -528
Sunwoo Leonard, Park Sun-Won, Rhim Jung Hyo, Kang Yeonah, Chung Young Seob, Son Young-Je, Kim Soo Chin
Metal Artifact Reduction for Orthopedic Implants: Brain CT Angiography in Patients with Intracranial Metallic Implants
J KOREAN MED SCI
2018 ;33 (21)
Woo H G, Sunwoo L, Jung C, Kim B J, Han M-K, Bae H-J, Bae Y J, Choi B S, Kim J H
Feasibility of Permanent Stenting with Solitaire FR as a Rescue Treatment for the Reperfusion of Acute Intracranial Artery Occlusion
AM J NEURORADIOL
2018 ;39 (2) :331 -336
Bae Yun Jung, Choi Byung Se, Jung Cheolkyu, Yoon Yeon Hong, Sunwoo Leonard, Bae Hee-Joon, Kim Jae Hyoung
Differentiation of Deep Subcortical Infarction Using High-Resolution Vessel Wall MR Imaging of Middle Cerebral Artery
KOREAN J RADIOL
2017 ;18 (6) :964 -972
Bae Yun Jung, Choi Byung Se, Lee Kyung Mi, Yoon Yeon Hong, Sunwoo Leonard, Jung Cheolkyu, Kim Jae Hyoung
Efficacy of Maximum Intensity Projection of Contrast-Enhanced 3D Turbo-Spin Echo Imaging with Improved Motion-Sensitized Driven-Equilibrium Preparation in the Detection of Brain Metastases
KOREAN J RADIOL
2017 ;18 (4) :699 -709
Kim Young Jae, Choi Seung Hong, Kim Kwang-Gi, Sunwoo Leonard, Kang Ji Hee, Kang Yeonah, Bae Yun Jung, Yoo Roh-Eul, Kim Jihang, Lee Kyong Joon, Lee Seung Hyun, Choi Byung Se, Jung Cheolkyu, Sohn Chul-Ho, Kim Jae Hyoung
Computer-aided detection of brain metastasis on 3D MR imaging: Observer performance study
PLOS ONE
2017 ;12 (6)
Measurement Variability of Persistent Pulmonary Subsolid Nodules on Same-Day Repeat CT: What Is the Threshold to Determine True Nodule Growth during Follow-Up?
PLOS ONE
2016 ;11 (2)
Differentiation of Glioblastoma from Brain Metastasis: Qualitative and Quantitative Analysis Using Arterial Spin Labeling MR Imaging
PLOS ONE
2016 ;11 (11)
Paradoxical perfusion metrics of high-grade gliomas with an oligodendroglioma component: quantitative analysis of dynamic susceptibility contrast perfusion MR imaging
NEURORADIOLOGY
2015 ;57 (11) :1111 -1120
Evaluation of the degree of arteriovenous shunting in intracranial arteriovenous malformations using pseudo-continuous arterial spin labeling magnetic resonance imaging
NEURORADIOLOGY
2015 ;57 (8) :775 -782
번호 | 매체명 | 제목 | 발간일 |
---|---|---|---|
34 | 중부일보 | 딥러닝 알고리즘 이용해 축농증 진단 가능 | 2019-05-15 |
33 | 인천일보 | 분당서울대병원 선우준·이경준 교수팀, 축농증 '새 진단법' 개발 | 2019-05-14 |
32 | 메디컬월드뉴스 | 단순촬영검사, 딥러닝 알고리즘 적용…숙련된 영상의학과 의사와 동등 수준 정... | 2019-05-14 |
31 | 문화일보 | ‘딥러닝’ 활용 정확도 높인 축농증 진단 | 2019-05-14 |
30 | 메디게이트뉴스 | 딥러닝 알고리즘 이용해 '축농증 진단' 가능 | 2019-05-13 |
29 | 경향신문 | 굳이 CT 안 찍어도 ‘축농증’ 정확하게 진단할 수 있다? | 2019-05-13 |
28 | 중앙일보 헬스미디어 | 바둑에서 사람 제친 '딥러닝' 기술, 축농증 진단에도 의사만큼 뛰어나 | 2019-05-13 |
27 | 중앙일보 | CT검사 없이 X선 검사만으로 축농증 진단하는 AI 개발 | 2019-05-13 |
26 | 전자신문 | 분당서울대병원 교수팀, 딥러닝으로 축농증 진단 | 2019-05-13 |
25 | 메디칼타임즈 | 딥러닝 알고리즘으로 축농증 진단…전문의 5명과 일치 | 2019-05-13 |