1 citations · 2 across the 3 of their papers we have counts for
4 papers
Depth-to-RGB: Repurposing a Frozen Depth Estimator for Geometry-Guided Compositing
Sanghyun Jo, Chae Yeon Lim, Donghwan Lee +3
Reference-based object compositing inserts or replaces an object using a background image, a reference image, and a 2D compositing mask. These inputs guide appearance and placement…
Enhanced artificial intelligence-based diagnosis using CBCT with internal denoising: Clinical validation for discrimination of fungal ball, sinusitis, and normal cases in the maxillary sinus
Kyungsu Kim, Chae Yeon Lim, Joong Bo Shin +2
The cone-beam computed tomography (CBCT) provides 3D volumetric imaging of a target with low radiation dose and cost compared with conventional computed tomography, and it is widel…
Comparative Validation of AI and non-AI Methods in MRI Volumetry to Diagnose Parkinsonian Syndromes
Joomee Song, Juyoung Hahm, Jisoo Lee +6
Automated segmentation and volumetry of brain magnetic resonance imaging (MRI) scans are essential for the diagnosis of Parkinson's disease (PD) and Parkinson's plus syndromes (P-p…
Enhancing Generative Networks for Chest Anomaly Localization through Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data Translation
Kyungsu Kim, Seong Je Oh, Chae Yeon Lim +3
Image translation based on a generative adversarial network (GAN-IT) is a promising method for the precise localization of abnormal regions in chest X-ray images (AL-CXR) even with…