P. Ambrosini, D. Ruijters, W.J. Niessen, A. Moelker and T. van Walsum: Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy. The 20th International Conference on Medical Image ...

I finished my postdoc study at June 30, 2018. After that I joined Pennsylvania State University as an assistant professor. My current website is here. My research interests lie in algorithm design and ...

This project provides the image datasets and codes used in the paper “Deep learning for three-dimensional segmentation of electron microscopy images of complex ...

In this study we applied for the first time Fully Convolutional Neural Networks (FCNNs) to a marine bathymetric dataset to derive morphological classes over the entire Irish continental shelf. FCNNs ...

Recent advancements in deep learning (DL) have made possible new methodologies for analyzing massive datasets with intriguing implications in healthcare. Convolutional neural networks (CNN), which ...

Computational drug discovery provides an efficient tool for helping large-scale lead molecule screening. One of the major tasks of lead discovery is identifying molecules with promising binding ...

Popular neural networks for image-processing problems often contain many different operations, multiple layers of connections, and a large number of trainable parameters, often exceeding several ...