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Ryo Kawasaki

Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory
Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis
Match them up: visually explainable few-shot image classification
SCOUTER: Slot attention-based classifier for explainable image recognition
MTUNet: Few-shot image classification with visual explanations
Noisy-LSTM: Improving temporal awareness for video semantic segmentation
IterNet: retinal image segmentation utilizing structural redundancy in vessel networks
Joint learning of vessel segmentation and artery/vein classification with post-processing

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