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Dongmin Choi
Dongmin Choi
kaist.ac.kr의 이메일 확인됨
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MRI features may predict molecular features of glioblastoma in isocitrate dehydrogenase wild-type lower-grade gliomas
CJ Park, K Han, H Kim, SS Ahn, D Choi, YW Park, JH Chang, SH Kim, ...
American Journal of Neuroradiology 42 (3), 448-456, 2021
442021
Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation
YW Park, D Choi, JE Park, SS Ahn, H Kim, JH Chang, SH Kim, HS Kim, ...
Scientific reports 11 (1), 2913, 2021
412021
Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls
YW Park, YS Choi, SE Kim, D Choi, K Han, H Kim, SS Ahn, SA Kim, ...
Scientific reports 10 (1), 19567, 2020
392020
Differentiating patients with schizophrenia from healthy controls by hippocampal subfields using radiomics
YW Park, D Choi, J Lee, SS Ahn, SK Lee, SH Lee, M Bang
Schizophrenia Research 223, 337-344, 2020
332020
Diffusion tensor and postcontrast T1-weighted imaging radiomics to differentiate the epidermal growth factor receptor mutation status of brain metastases from non-small cell …
YW Park, C An, JS Lee, K Han, D Choi, SS Ahn, H Kim, SJ Ahn, JH Chang, ...
Neuroradiology 63, 343-352, 2021
302021
Performance evaluation of a deep learning system for differential diagnosis of lung cancer with conventional CT and FDG PET/CT using transfer learning and metadata
YJ Park, D Choi, JY Choi, SH Hyun
Clinical Nuclear Medicine 46 (8), 635-640, 2021
292021
Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium
S Chang, H Kim, YJ Suh, DM Choi, H Kim, DK Kim, JY Kim, JY Yoo, ...
European Journal of Radiology 137, 109582, 2021
212021
Fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis
B Joo, SS Ahn, C An, K Han, D Choi, H Kim, JE Park, HS Kim, SK Lee
Journal of Neuroradiology 50 (4), 388-395, 2023
172023
Clinical application of deep learning-based synthetic CT from real MRI to improve dose planning accuracy in Gamma Knife radiosurgery: a proof of concept study
SH Park, DM Choi, IH Jung, KW Chang, MJ Kim, HH Jung, JW Chang, ...
Biomedical Engineering Letters 12 (4), 359-367, 2022
112022
ENInst: Enhancing weakly-supervised low-shot instance segmentation
M Ye-Bin, D Choi, Y Kwon, J Kim, TH Oh
Pattern Recognition 145, 109888, 2024
72024
Predicting amyloid pathology in mild cognitive impairment using radiomics analysis of magnetic resonance imaging
YW Park, D Choi, M Park, SJ Ahn, SS Ahn, SH Suh, SK Lee, ...
Journal of Alzheimer's Disease 79 (2), 483-491, 2021
72021
idet3d: Towards efficient interactive object detection for lidar point clouds
D Choi, W Cho, K Kim, J Choo
Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 1335-1343, 2024
52024
Prediction of treatment response after stereotactic radiosurgery of brain metastasis using deep learning and radiomics on longitudinal MRI data
SJ Cho, W Cho, D Choi, G Sim, SY Jeong, SH Baik, YJ Bae, BS Choi, ...
Scientific Reports 14 (1), 11085, 2024
42024
CMET-04. Radiomics features can differentiate the EGFR mutation status of brain metastases from non-small cell lung cancer
YW Park, SS Ahn, D Choi, H Kim
Neuro-Oncology 21 (Suppl 6), vi51, 2019
32019
FoxInst: A Frustratingly Simple Baseline for Weakly Few-shot Instance Segmentation
D Choi, M Ye-Bin, J Kim, TH Oh
22022
Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images
W Cho, D Choi, H Lim, J Choi, S Choi, H Min, S Lim, J Choo
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
12024
Neural Angular Plaque Characterization: Automated Quantification of Polar Distribution for Plaque Composition
H Cho, D Choi, HS Min, SJ Kang, H Kim
International Workshop on Statistical Atlases and Computational Models of …, 2021
2021
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