S. Ahn

发表

Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation

Jong-Hee Chang, H. Kim, J. E. Park, 2021, Scientific Reports.

Predicting Amyloid Pathology in Mild Cognitive Impairment Using Radiomics Analysis of Magnetic Resonance Imaging.

Sung Soo Ahn, Y. Park, Seung-Koo Lee, 2020, Journal of Alzheimer's disease : JAD.

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

Zev A. Binder, Peter I. Kamel, Susan M. Chang, 2023, Neuroradiology.

Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports

H. Kim, Kyunghwa Han, Jinna Kim, 2023, European Radiology.

Association of dynamic susceptibility contrast- and dynamic contrast-enhanced magnetic resonance imaging parameters with molecular marker status in lower-grade gliomas: A retrospective study

Sung Soo Ahn, Y. Park, Seung-Koo Lee, 2022, The neuroradiology journal.

Federated learning enables big data for rare cancer boundary detection

Bjoern H Menze, Amber L. Simpson, James F. Gimpel, 2022, Nature Communications.

Review and consensus recommendations on clinical APT‐weighted imaging approaches at 3T: Application to brain tumors

Sung Soo Ahn, D. Gochberg, O. Togao, 2022, Magnetic Resonance in Medicine.

High‐SNR multiple T2(*)‐contrast magnetic resonance imaging using a robust denoising method based on tissue characteristics

Taeseong Kim, Hongpyo Lee, Taejoon Eo, 2017, Journal of magnetic resonance imaging : JMRI.

Applications of chemical exchange saturation transfer magnetic resonance imaging in identifying genetic markers in gliomas

Sung Soo Ahn, Jinyuan Zhou, K. Cai, 2022, NMR in biomedicine.

Outcomes and prognostic factors of intracranial unruptured vertebrobasilar artery dissection

S. Ahn, Dong-Il Kim, B. M. Kim, 2011, Neurology.

The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 2—Summary of Imaging Findings on Pediatric‐Type Diffuse High‐Grade Gliomas, Pediatric‐Type Diffuse Low‐Grade Gliomas, and Circumscribed Astrocytic Gliomas

Sung Soo Ahn, Jong-Hee Chang, F. Sahm, 2023, Journal of magnetic resonance imaging : JMRI.

Qualitative and Quantitative Magnetic Resonance Imaging Phenotypes May Predict CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytomas: A Multicenter Study

Sung Soo Ahn, Jong-Hee Chang, H. Kim, 2023, Korean journal of radiology.

Adding radiomics to the 2021 WHO updates may improve prognostic prediction for current IDH-wildtype histological lower-grade gliomas with known EGFR amplification and TERT promoter mutation status

Sung Soo Ahn, Se Hoon Kim, Jong-Hee Chang, 2022, European Radiology.

Rethinking extent of resection of contrast-enhancing and non-enhancing tumor: different survival impacts on adult-type diffuse gliomas in 2021 World Health Organization classification

Jong-Hee Chang, Kyunghwa Han, Jinna Kim, 2023, European radiology.

AI-based decision support improves reproducibility of tumor response assessment in neuro-oncology: an international multi-reader study.

Raymond Y Huang, Sung Soo Ahn, P. Wen, 2022, Neuro-oncology.

Quality of Radiomics Research on Brain Metastasis: A Roadmap to Promote Clinical Translation

Sung Soo Ahn, Jong-Hee Chang, Y. Park, 2022, Korean journal of radiology.

Leptomeningeal metastases in glioma revisited: incidence and molecular predictors based on postcontrast fluid-attenuated inversion recovery imaging.

Sung Soo Ahn, Se Hoon Kim, Jong-Hee Chang, 2022, Journal of neurosurgery.

The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 1—Key Points of the Fifth Edition and Summary of Imaging Findings on Adult‐Type Diffuse Gliomas

Jong-Hee Chang, F. Sahm, Y. Park, 2023, Journal of magnetic resonance imaging : JMRI.

Sex as a prognostic factor in adult-type diffuse gliomas: an integrated clinical and molecular analysis according to the 2021 WHO classification

Sung Soo Ahn, Se Hoon Kim, Jong-Hee Chang, 2022, Journal of Neuro-Oncology.

Three-dimensional fractal dimension and lacunarity features may noninvasively predict TERT promoter mutation status in grade 2 meningiomas

Sung Soo Ahn, Se Hoon Kim, Jong-Hee Chang, 2022, PloS one.

Deep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation

Ilah Shin, Ji Eun Park, Ho Sung Kim, 2020, Scientific Reports.

An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum

Sung Soo Ahn, Jinna Kim, Sang-Hyuk Lee, 2021, Translational Psychiatry.

The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 3—Summary of Imaging Findings on Glioneuronal and Neuronal Tumors

Jong-Hee Chang, Y. Park, Philipp Vollmuth, 2023, Journal of Magnetic Resonance Imaging.

Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning

Sung Soo Ahn, D. Hwang, Kyunghwa Han, 2023, European Radiology.

Revisiting prognostic factors in glioma with leptomeningeal metastases: a comprehensive analysis of clinical and molecular factors and treatment modalities

Sung Soo Ahn, Jong-Hee Chang, Kyunghwa Han, 2023, Journal of Neuro-Oncology.

Cycle-consistent adversarial networks improves generalizability of radiomics model in grading meningiomas on external validation

Sung Soo Ahn, Seo Jeong Shin, Rae Woong Park, 2022, Scientific Reports.

Pre- and Post-Treatment Imaging of Primary Central Nervous System Tumors in the Molecular and Genetic Era

Sung Soo Ahn, S. Cha, S. Ahn, 2021, Korean journal of radiology.

Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of IDH1-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas

Jong-Hee Chang, Y. Park, E. Kim, 2018, American Journal of Neuroradiology.

Diffusion tensor and postcontrast T1-weighted imaging radiomics to differentiate the epidermal growth factor receptor mutation status of brain metastases from non-small cell lung cancer

Sung Soo Ahn, Jong-Hee Chang, Kyunghwa Han, 2020, Neuroradiology.

An interpretable radiomics model for the diagnosis of panic disorder with or without agoraphobia using magnetic resonance imaging.

Sung Soo Ahn, Jinna Kim, Sang-Hyuk Lee, 2022, Journal of affective disorders.

Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtype

Jong-Hee Chang, Y. Park, Seung-Koo Lee, 2023, Journal of Neuro-Oncology.

Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls

Sung Soo Ahn, Kyunghwa Han, Hwiyoung Kim, 2020, Scientific Reports.

Association between choroid plexus volume and cognition in Parkinson disease

Y. Sohn, Y. Kim, M. Sunwoo, 2023, European journal of neurology.

Development and Validation of MRI-Based Radiomics Models for Diagnosing Juvenile Myoclonic Epilepsy

Kyunghwa Han, K. Heo, Seung-Koo Lee, 2022, Korean journal of radiology.

Radiomics and Deep Learning in Brain Metastases: Current Trends and Roadmap to Future Applications

Sung Soo Ahn, Jong-Hee Chang, Y. Park, 2021, Investigative Magnetic Resonance Imaging.

Controllable Text-to-Image Synthesis for Multi-Modality MR Images

Hwiyoung Kim, Yoonho Na, S. Ahn, 2024, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

A Radiomics-Based Model with the Potential to Differentiate Growth Hormone Deficiency and Idiopathic Short Stature on Sella MRI

Sung Soo Ahn, Seung-Koo Lee, Jihwan Eom, 2022, Yonsei medical journal.

Value of Amide Proton Transfer Imaging in Correlation with Histopathological Grades of Adult Diffuse Gliomas : Comparison and Incremental Value with Dynamic Susceptibility Contrast-Enhanced MRI and Diffusion Weighted Imaging

Jong-Hee Chang, Seung-Koo Lee, S. H. Kim, 2008 .

Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors

Sung Soo Ahn, D. Hwang, Ho-Joon Lee, 2018, Scientific Reports.

Preoperative imaging evaluation of head and neck cancer: comparison of 2D spin-echo and 3D THRIVE MRI techniques with resected tumours.

E. Choi, Y. Koh, C. An, 2012, Clinical radiology.

MRI radiomics may predict early tumor recurrence in patients with sinonasal squamous cell carcinoma

K. Keum, Chae Jung Park, Dain Kim, 2023, European radiology.

The Added Prognostic Value of Preoperative Dynamic Contrast-Enhanced MRI Histogram Analysis in Patients with Glioblastoma: Analysis of Overall and Progression-Free Survival

Jong-Hee Chang, S. Ahn, E. Kim, 2015, American Journal of Neuroradiology.

An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson’s disease

Y. Sohn, Jinna Kim, Y. Kim, 2023, NPJ Parkinson's disease.

Dual-Energy Computed Tomography Quantification of Extravasated Iodine and Hemorrhagic Transformation after Thrombectomy

Sung Soo Ahn, H. Lee, J. Cha, 2022, Journal of stroke.

Diffusion- and Perfusion-Weighted MRI Radiomics for Survival Prediction in Patients with Lower-Grade Gliomas.

Y. Park, Sooyon Kim, Chae Jung Park, 2024, Yonsei medical journal.

Revisiting gliomatosis cerebri in adult-type diffuse gliomas: a comprehensive imaging, genomic and clinical analysis

Y. Park, Seung-Koo Lee, Yongsik Sim, 2024, Acta neuropathologica communications.

Revisiting prognostic factors of gliomatosis cerebri in adult-type diffuse gliomas.

Y. Park, Seung-Koo Lee, Yongsik Sim, 2024, Journal of neuro-oncology.

An interpretable radiomics model to select patients for radiotherapy after surgery for WHO grade 2 meningiomas

Sung Soo Ahn, Se Hoon Kim, Jong-Hee Chang, 2022, Radiation Oncology.

Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas

Jong-Hee Chang, S. Bae, Y. Park, 2018, American Journal of Neuroradiology.