| Radiomics signature on magnetic resonance imaging: association with disease-free survival in patients with invasive breast cancer H Park, Y Lim, ES Ko, H Cho, JE Lee, BK Han, EY Ko, JS Choi, KW Park Clinical Cancer Research 24 (19), 4705-4714, 2018 | 225 | 2018 |
| Classification of the glioma grading using radiomics analysis H Cho, S Lee, J Kim, H Park PeerJ 6, e5982, 2018 | 185 | 2018 |
| Classification of low-grade and high-grade glioma using multi-modal image radiomics features H Cho, H Park 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 118 | 2017 |
| Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI Y Kim, H Cho, ST Kim, H Park, D Nam, DS Kong Neuroradiology 60, 1297-1305, 2018 | 73 | 2018 |
| Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer SH Lee, H Cho, HY Lee, H Park Cancer Imaging 19, 1-12, 2019 | 49 | 2019 |
| Radiomics Study of Thyroid Ultrasound for Predicting BRAF Mutation in Papillary Thyroid Carcinoma: Preliminary Results M Kwon, JH Shin, H Park, H Cho, SY Hahn, KW Park American Journal of Neuroradiology, 2020 | 46 | 2020 |
| Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans H Cho, HY Lee, E Kim, G Lee, J Kim, J Kwon, H Park Communications biology 4 (1), 1286, 2021 | 39 | 2021 |
| Multi-Habitat Radiomics Unravels Distinct Phenotypic Subtypes of Glioblastoma with Clinical and Genomic Significance SW Choi, H Cho, H Koo, KR Cho, KH Nenning, G Langs, J Furtner, ... Cancers 12 (7), 1707, 2020 | 31 | 2020 |
| Measurement of Perfusion Heterogeneity within Tumor Habitats on Magnetic Resonance Imaging and Its Association with Prognosis in Breast Cancer Patients H Cho, H Kim, SY Nam, JE Lee, BK Han, EY Ko, JS Choi, H Park, ES Ko Cancers 14 (8), 1858, 2022 | 29 | 2022 |
| Tumor-Attentive Segmentation-Guided GAN for Synthesizing Breast Contrast-Enhanced MRI Without Contrast Agents E Kim, HH Cho, J Kwon, YT Oh, ES Ko, H Park IEEE Journal of Translational Engineering in Health and Medicine 11, 32-43, 2022 | 28 | 2022 |
| Radiomics Based on Thyroid Ultrasound Can Predict Distant Metastasis of Follicular Thyroid Carcinoma M Kwon, JH Shin, H Park, H Cho, E Kim, SY Hahn Journal of Clinical Medicine 9 (7), 2156, 2020 | 28 | 2020 |
| Radiomics signature on 3T dynamic contrast-enhanced magnetic resonance imaging for estrogen receptor-positive invasive breast cancers: Preliminary results for correlation with … KJ Nam, H Park, ES Ko, Y Lim, HH Cho, JE Lee Medicine 98 (23), e15871, 2019 | 28 | 2019 |
| Marginal radiomics features as imaging biomarkers for pathological invasion in lung adenocarcinoma H Cho, G Lee, HY Lee, H Park European radiology 30, 2984-2994, 2020 | 26 | 2020 |
| Integrative Radiogenomics Approach for Risk Assessment of Post-Operative Metastasis in Pathological T1 Renal Cell Carcinoma: A Pilot Retrospective Cohort Study HW Lee, H Cho, JG Joung, HG Jeon, BC Jeong, SS Jeon, HM Lee, ... Cancers 12 (4), 866, 2020 | 19 | 2020 |
| Age-related connectivity differences between attention deficit and hyperactivity disorder patients and typically developing subjects: a resting-state functional MRI study J Hong, B Park, H Cho, H Park Neural regeneration research 12 (10), 1640-1647, 2017 | 18 | 2017 |
| Are radiomics features universally applicable to different organs? SH Lee, H Cho, J Kwon, HY Lee, H Park Cancer Imaging 21, 1-10, 2021 | 15 | 2021 |
| A Cascaded Neural Network for Staging in Non-Small Cell Lung Cancer Using Pre-Treatment CT J Choi, H Cho, J Kwon, HY Lee, H Park Diagnostics 11 (6), 1047, 2021 | 12 | 2021 |
| Overview of radiomics in prostate imaging and future directions H Cho, CK Kim, H Park The British Journal of Radiology 95 (1131), 20210539, 2022 | 11 | 2022 |
| Automated in‑depth cerebral arterial labelling using cerebrovascular vasculature reframing and deep neural networks SW Hong, HN Song, JU Choi, HH Cho, IY Baek, JE Lee, YC Kim, ... Scientific reports 13 (1), 2023 | 9 | 2023 |
| Robust multimodal fusion network using adversarial learning for brain tumor grading S Jeong, H Cho, S Lee, H Park Computer Methods and Programs in Biomedicine 226, 107165, 2022 | 9 | 2022 |
Hyunjin ParkProfessor of Electrical-Computer Engineering and Artificial Intelligence, Sungkyunkwan UniversityПотвърден имейл адрес: skku.edu
