26 citations · 42 across the 8 of their papers we have counts for
8 papers
Accurate and fast deep learning dose prediction for a preclinical microbeam radiation therapy study using low-statistics Monte Carlo simulations
Florian Mentzel, Jason Paino, Micah Barnes +13
Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumour diagnoses that currently have poor clinic…
Fast and accurate dose predictions for novel radiotherapy treatments in heterogeneous phantoms using conditional 3D-UNet generative adversarial networks
Florian Mentzel, Kevin Kröninger, Michael Lerch +8
Novel radiotherapy techniques like synchrotron X-ray microbeam radiation therapy (MRT), require fast dose distribution predictions that are accurate at the sub-mm level, especially…
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network
Jichao Kan, Kun Hu, Markus Hagenbuchner +3
Sign language translation (SLT), which generates text in a spoken language from visual content in a sign language, is important to assist the hard-of-hearing community for their co…
Embedding of FRPN in CNN architecture
Alberto Rossi, Markus Hagenbuchner, Franco Scarselli +1
This paper extends the fully recursive perceptron network (FRPN) model for vectorial inputs to include deep convolutional neural networks (CNNs) which can accept multi-dimensional…
A Family of Maximum Margin Criterion for Adaptive Learning
Miao Cheng, Zunren Liu, Hongwei Zou +1
In recent years, pattern analysis plays an important role in data mining and recognition, and many variants have been proposed to handle complicated scenarios. In the literature, i…
CRH: A Simple Benchmark Approach to Continuous Hashing
Miao Cheng, Ah Chung Tsoi
In recent years, the distinctive advancement of handling huge data promotes the evolution of ubiquitous computing and analysis technologies. With the constantly upward system burde…
Fractal Dimension Pattern Based Multiresolution Analysis for Rough Estimator of Person-Dependent Audio Emotion Recognition
Miao Cheng, Ah Chung Tsoi
As a general means of expression, audio analysis and recognition has attracted much attentions for its wide applications in real-life world. Audio emotion recognition (AER) attempt…
Adaptive Training of Random Mapping for Data Quantization
Miao Cheng, Ah Chung Tsoi
Data quantization learns encoding results of data with certain requirements, and provides a broad perspective of many real-world applications to data handling. Nevertheless, the re…