User profiles for Seunggyun Ha
 | Seunggyun HaAssistant Professor, Seoul St. Mary's Hospital, The Catholic University of Verified email at catholic.ac.kr Cited by 1569 |
Radiomics in oncological PET/CT: a methodological overview
Radiomics is a medical imaging analysis approach based on computer-vision. Metabolic
radiomics in particular analyses the spatial distribution patterns of molecular metabolism on …
radiomics in particular analyses the spatial distribution patterns of molecular metabolism on …
[HTML][HTML] Noninvasive imaging of radiolabeled exosome-mimetic nanovesicle using 99mTc-HMPAO
Exosomes known as nano-sized extracellular vesicles attracted recent interests due to their
potential usefulness in drug delivery. Amid remarkable advances in biomedical applications …
potential usefulness in drug delivery. Amid remarkable advances in biomedical applications …
[HTML][HTML] Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging
Dopaminergic degeneration is a pathologic hallmark of Parkinson's disease (PD), which can
be assessed by dopamine transporter imaging such as FP-CIT SPECT. Until now, imaging …
be assessed by dopamine transporter imaging such as FP-CIT SPECT. Until now, imaging …
[HTML][HTML] Metabolic Radiomics for Pretreatment 18F-FDG PET/CT to Characterize Locally Advanced Breast Cancer: Histopathologic Characteristics, Response to …
S Ha, S Park, JI Bang, EK Kim, HY Lee - Scientific reports, 2017 - nature.com
Radiomics has been spotlighted as imaging biomarker for estimation of intratumoral
heterogeneity (ITH) which is regarded as the main reason for resistance to tumor treatment. …
heterogeneity (ITH) which is regarded as the main reason for resistance to tumor treatment. …
[HTML][HTML] Deep learning only by normal brain PET identify unheralded brain anomalies
Background Recent deep learning models have shown remarkable accuracy for the
diagnostic classification. However, they have limitations in clinical application due to the gap …
diagnostic classification. However, they have limitations in clinical application due to the gap …
[HTML][HTML] Intratumoral heterogeneity characterized by pretreatment PET in non-small cell lung cancer patients predicts progression-free survival on EGFR tyrosine …
Intratumoral heterogeneity has been suggested to be an important resistance mechanism
leading to treatment failure. We hypothesized that radiologic images could be an alternative …
leading to treatment failure. We hypothesized that radiologic images could be an alternative …
[HTML][HTML] Tumor immune profiles noninvasively estimated by FDG PET with deep learning correlate with immunotherapy response in lung adenocarcinoma
Rationale: The clinical application of biomarkers reflecting tumor immune microenvironment
is hurdled by the invasiveness of obtaining tissues despite its importance in immunotherapy. …
is hurdled by the invasiveness of obtaining tissues despite its importance in immunotherapy. …
Prediction of neoadjuvant radiation chemotherapy response and survival using pretreatment [18F]FDG PET/CT scans in locally advanced rectal cancer
Purpose The aim of this study was to investigate metabolic and textural parameters from
pretreatment [ 18 F]FDG PET/CT scans for the prediction of neoadjuvant radiation …
pretreatment [ 18 F]FDG PET/CT scans for the prediction of neoadjuvant radiation …
Autoclustering of Non-small Cell Lung Carcinoma Subtypes on 18F-FDG PET Using Texture Analysis: A Preliminary Result
Purpose Texture analysis on 18 F-fluorodeoxyglucose positron emission tomography ( 18 F-FDG
PET) scan is a relatively new imaging analysis tool to evaluate metabolic heterogeneity…
PET) scan is a relatively new imaging analysis tool to evaluate metabolic heterogeneity…
[HTML][HTML] Prognostic value of preoperative intratumoral FDG uptake heterogeneity in early stage uterine cervical cancer
Objective We investigated the prognostic value of intratumoral [18 F] fluorodeoxyglucose (FDG)
uptake heterogeneity (IFH) derived from positron emission tomography/computed …
uptake heterogeneity (IFH) derived from positron emission tomography/computed …