5 papers
EMBRACE: A Multi-task Framework for Comprehensive Quality Assessment in Cleavage-stage Embryo
Anwar Hussain Sofi, Jung-Hua Wang, Ming-Jer Chen +4
Cleavage-stage embryo assessment in in vitro fertilization requires the integrated interpretation of cytoplasmic fragmentation, developmental stage, and blastomere symmetry. Howeve…
RL-Ballast: Ship Ballast Water Path Planning and Clog Prediction via Reinforcement Learning
Ming-Kuan Lin, Yi-Chung Lai, Ming-Hsin Chiang +2
Under the Shipping 4.0 paradigm, autonomous and reduced-crew vessels require intelligent internal systems to maintain operational safety and structural stability. Ballast-water con…
BioVid: Autoregressive Video Generation with Biological Behavior Semantic Comprehension
Tsung-Wei Pan, Jung-Hua Wang
Video generation for biological behavior requires more than visually plausible motion: the duration of an action is itself a semantic property. Existing models usually rely on fixe…
Beyond Data Scarcity Optimizing R3GAN for Medical Image Generation from Small Datasets
Tsung-Wei Pan, Chang-Hong Wu, Jung-Hua Wang +3
Medical image datasets frequently exhibit significant class imbalance, a challenge that is further amplified by the inherently limited sample sizes that characterize clinical imagi…
Federal Learning Framework for Quality Evaluation of Blastomere Cleavage
Jung-Hua Wang, Huai-Wen Chang, Rong-Yu Wu +3
This study addresses the issue of leveraging federated learning to improve data privacy and performance in IVF embryo selection. The EM (Expectation-Maximization) algorithm is inco…