MAI-LAB

Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective Study, Diagnostics, 2024

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[Paper Link]

 

F-FDG-PET-based deep learning for predicting cognitive decline in non-demented elderly across the Alzheimer’s disease clinical spectrum, Radiology Advances, 2024

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[Paper Link]

 

LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer, MICCAI, 2024

 

Deep Learning-Based Amyloid PET Harmonization for Improved Prediction of Cognitive Decline in Non-Demented Elderly, Radiology Advances, 2024

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[Paper Link]

[삼성미래연구 결과물]

 

Monolayer, open-mesh, pristine PEDOT:PSS-based conformal brain implants for fully MRI-compatible neural interfaces, Biosensors and Bioelectronics, 2024 

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[Paper Link]

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Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales, AAAI, 2024 

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[Paper Link]

[삼성미래연구 결과물]

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 M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography,  MICCAI Challenge on Segmentation of the Aorta, 2023
 Best Paper Award (prize) 

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[Paper Link]

Position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation, MICCAI Challenge on Segmentation of the Aorta, 2023

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[Paper Link]

Evidence-Empowered Transfer Learning for Alzheimer’s Disease, IEEE, 2023

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[Paper Link]

[삼성미래연구 결과물]

 

DiMix: Disentangle-and-Mix Based Domain Generalizable Medical Image Segmentation, MICCAI, 2023 

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[Paper Link]

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Deep-Learning-Aided Evaluation of Spondylolysis Imaged with Ultrashort Echo Time Magnetic Resonance Imaging, Sensors, 2023 

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[Paper Link]

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Development and validation of a hybrid deep learning–machine learning approach for severity assessment of COVID-19 and other pneumonias, Scientific Reports, 2023 

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[Paper Link]

 

Weakly Supervised Deep Learning for Diagnosis of Multiple Vertebral Compression Fractures in CT, European Radiology, 2023 

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[Paper Link]

 

SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

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[Paper Link]

[Presentation Video (Youtube)]

[삼성미래연구 결과물]

 

Deep Learning Referral Suggestion and Tumour Discrimination using Explainable Artificial Intelligence applied to Multiparametric MRI, European Radiology, 2023 

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[Paper Link]

Intelligent Noninvasive Meningioma Grading with a Fully Automatic Segmentation using Interpretable Multiparametric Deep Learning, European Radiology, 2023 

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[Paper Link]

Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network, MICCAI, 2022 

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[Paper Link] 

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation, Medical Image Analysis, 2022

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[Paper Link] 

Ultra-thin crystaline silicon-based strain gauges with deep learning algorithms for silent speech interfaces, Nature Communications, 2022

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[Paper Link] 

[삼성미래연구 결과물]

Small Bowel Detection for Wireless Capsule Endoscopy Using Convolutional Neural Networks with Temporal Filtering, Diagnostics, 2022

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[Paper Link] 

Fully Automatic Quantification of Transient Severe Respiratory Motion Artifact of Gadoxetate Disodium Enhanced MRI during Arterial Phase, Medical Physics, 2022

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[Paper Link] 

M3T: three-dimensional Medical image classifier using Multi-plane and Multi-slice Transformer,  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

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[Paper Link] 

[삼성미래연구 결과물]

Importance of CT image normalization in radiomics analysis: prediction of 3-year recurrence-free survival in non-small cell lung cancer. European Radiology, 2022.

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[Paper Link]

 

[BlochGAN] Fat-saturated Image Generation from Multi-contrast MRIs Using Generative Adversarial Networks with Bloch Equation-based Autoencoder Regularization. Medical Image Analysis, Volume 73, October 2021, 102198

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[Paper Link] 

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. -with Facebook AI & NYU.  IEEE Transactions on Medical Imaging 40.9 (2021): 2306-2317.

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[Paper Link] 

Relevance-CAM: Your Model Already Knows Where to Look.  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 14944-14953

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[Paper Link]

[삼성미래연구 결과물] 

Quantitative analysis of the mouth opening movement of temporomandibular joint disorder patients according to disc position using computer vision: a pilot study. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY , 2021.

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[Paper Link]

 

Joint Deep Model-based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 5270-5279

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[Paper Link] 

Deep Model-based Magnetic Resonance Parameter Mapping Network (DOPAMINE) for Fast T1 Mapping Using Variable Flip Angle Method. Medical Image Analysis, 2021, 70, 102017

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[Paper Link] 

Robust Performance of Deep Learning for Automatic Detection and Segmentation of Brain Metastases Using Three-dimensional Black-Blood and Three-dimensional Gradient Echo Imaging. European Radiology, 2021

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[Paper Link]