PTB-XL, A Large Publicly Available Electrocardiography Dataset
Electrocardiography (ECG) is increasingly supported by algorithms based on machine learning. We put forward PTB-XL, the to-date largest freely accessible clinical 12-lead ECG-waveform dataset comprising 21837 records from 18885 patients of 10...
Artificial Intelligence in Dentistry: Chances and Challenges
AI solutions have not by large entered routine dental practice, mainly due to (1) limited data availability, accessibility, structure and comprehensiveness, (2) lacking methodological rigor and standards in their development, (3) and practical...
Going beyond Free Viewpoint: Creating Animatable Volumetric Video of Human Performances
We present an end-to-end pipeline for the creation of high-quality animatable volumetric video content of human performances. Going beyond the application of free-viewpoint volumetric video, we allow re-animation of an actor’s performance...
Resolving Challanges in Deep Learning-Based Analyses of Histopathological Images using Explanation Methods
This work shows the application of explainable AI (XIA) methods to resolve common challenges encountered in deep learning-based digital histopathology analyses. We investigate three types of biases and show that XAI techniques are helpful and...
High performance BH InAs/InP QD and InGaAsP/InP QW mode-locked lasers as comb and pulse sources
Coherent comb lasers may serve as a source for multiwavelength modulators in short reach transmission, or for phase controlled OFDM channels in long reach. We explore and compare quantum dot (QD) and quantum well (QW) lasers with more than 33...
Trends and Advancements in Deep Neural Network Communication
Deep models are also being increasingly applied in distributed settings, where the data are separated by limited communication channels and privacy constraints. To address the challenges, a wide range of training and evaluation schemes have been...
Determination of the optical properties of cholesteatoma in the spectral range of 250 to 800 nm
We determine the absorption and scattering coefficients of cholesteatoma and bone. In the near-UV and visual spectrum, clear differences exist between both tissues. These differences reveal the future possibility to detect and identify,...
Hybrid Human Modeling: Making Volumetric Video Animatable
Photo-realistic modeling and rendering of humans is extremely important for VR environments. While purely computer graphics modeling can achieve highly realistic human models, achieving real photo-realism with these models is computationally...
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
This paper presents DeepCABAC, a universal compression algorithm for deep neural networks (DNNs) that through its adaptive, context-based rate modeling, allows an optimal quantization and coding of parameters. It compresses DNNs up to 5% of...
UDSMProt: Universal Deep Sequence Models for Protein Classification
Inferring the properties of protein from its amino acid sequence is a key problem in bioinformatics. We put forward UDSMProt, a universal deep sequence model that is pretrained on a language modeling task and finetuned on protein classification...