6 citations · 7 across the 5 of their papers we have counts for
5 papers
Diffusion Crossover: Defining Evolutionary Recombination in Diffusion Models via Noise Sequence Interpolation
Chisato Kumada, Satoru Hiwa, Tomoyuki Hiroyasu
Interactive Evolutionary Computation (IEC) provides a powerful framework for optimizing subjective criteria such as human preferences and aesthetics, yet it suffers from a fundamen…
Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES
Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa +1
Computer aided drug design is a promising approach to reduce the tremendous costs, i.e. time and resources, for developing new medicinal drugs. It finds application in aiding the t…
Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset
Kyoka Yoshiok, Kensuke Tanioka, Satoru Hiwa +1
Early detection of esophagitis is important because this condition can progress to cancer if left untreated. However, the accuracies of different deep learning models in detecting…
Generating corneal panoramic images from contact specular microscope images
Yusuke Nagira, Yuzuha Hara, Satoru Hiwa +3
The contact specular microscope has a wider angle of view than that of the non-contact specular microscope but still cannot capture an image of the entire cornea. To obtain such an…
Performance Comparison of Deep Learning Architectures for Artifact Removal in Gastrointestinal Endoscopic Imaging
Taira Watanabe, Kensuke Tanioka, Satoru Hiwa +1
Endoscopic images typically contain several artifacts. The artifacts significantly impact image analysis result in computer-aided diagnosis. Convolutional neural networks (CNNs), a…