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인공지능대학
인공지능학과
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XplainScreen: Unveiling the Black Box of Graph Neural Network Drug Screening Models with a Unified X...
A systematic review of deep learning-based denoising for low-dose computed tomography from a percept...
Low-dose computed tomography perceptual image quality assessment
An unsupervised two-step training framework for low-dose computed tomography denoising
Efficient Deep-Detector Image Quality Assessment Based on Knowledge Distillation
Advancing diabetes prediction with a progressive self-transfer learning framework for discrete time ...
Annotation-Efficient Deep Learning Model for Pancreatic Cancer Diagnosis and Classification Using CT...
Unsupervised Visual Representation Learning Based on Segmentation of Geometric Pseudo-Shapes for Tra...
Botulinum neurotoxin type A improves vasti muscle balance, patellar tracking, and pain in patients w...
MM-Net: Multiframe and Multimask-Based Unsupervised Deep Denoising for Low-Dose Computed Tomography
No-reference perceptual CT image quality assessment based on a self-supervised learning framework
Unsupervised Domain Adaptation for Low-Dose Computed Tomography Denoising
Acquisition of a single grid-based phase-contrast X-ray image using instantaneous frequency and nois...
MFA-net: Object detection for complex X-ray cargo and baggage security imagery
Wavelet subband-specific learning for low-dose computed tomography denoising
Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell ...
Machine Learning-based Knee Pain Assessment Using the Upright CT of Patients with Patellofemoral Pai...
Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial ...
Object detectors involving a NAS-gate convolutional module and capsule attention module
Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm co...
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