Poster Presentation

AAug. 11, 2023 11:00-12:30

ID	Title	Author
P1	Noise Search Method for Improving Control Performance of Image Transformation in Diffusion Model	Toshiki HAZAMA (Ritsumeikan University, Japan)
P2	Weakly-Supervised and Unsupervised Liver Lesion Detection	He LI (Ritsumeikan University, Japan)
P3	Efficient Multi-phase CT Image Segmentation Using Unsupervised Domain Adaptation	Swathi ANANDA (Ritsumeikan University, Japan)
P4	OA-GAN: Organ-Aware Generative Adversarial Network for Synthesizing Contrast-enhanced Medical Images	SYulin YANG (Ritsumeikan University, Japan)
P5	Accurate Cephalometric Landmark Detection Based on Knowledge Distillation	Yu SONG (Ritsumeikan University, Japan)
P6	Semi-Supervised Learning for Postoperative Early Recurrence Prediction of Hepatocellular Carcinoma Using Histopathological Image	Gan ZHAN (Ritsumeikan University, Japan)
P7	Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI	Hikari MAEDA (Ritsumeikan University, Japan)
P8	A Module Selection-Based Approach for Efficient Skeleton Human Action Recognition	Shurong CHAI (Ritsumeikan University, Japan)
P9	Multimodal Representation Learning with Homogeneous and Diverse Constraints Using Multi-emotional Audiovisual Features for Depression Detection	Shiyu TENG (Ritsumeikan University, Japan)
P10	A Genotype-Guided Radiomics Signature Framework for Recurrence Prediction of Non-Small Cell Lung Cancer	Yang AI (Ritsumeikan University, Japan)
P11	Fine-tuned SAM for Glioma Segmentation on Multimodal Brain MR Images	Xiaoyu SHI (Ritsumeikan University, Japan)
P12	Modality-Invariant Representation Learning for Accurate Hand Gesture Recognition Using Color and Depth Images	Masaya OKANO (Ritsumeikan University, Japan)
P13	Automatic AI-Based Segmentation and Holographic Interactive Visualization of Pulmonary Airways	Liang LYU (Ritsumeikan University, Japan)
P14	Semi-supervised Medical Image Classification based on Contrastive Learning	Jihong HU (Ritsumeikan University, Japan)