-
Chapter and Conference Paper
Abstract: MOOD 2020
Detecting out-of-distribution (OoD) data is one of the greatest challenges in safe and robust deployment of machine learning algorithms in medicine. When the algorithms encounter cases that deviate from the di...
-
Article
Konzeptmethodik für die Topologie von Elektrofahrzeugen
-
Article
Concept Methodology for Electric Vehicle Topology
-
Article
Konzeptmethodik für die Topologie von Elektrofahrzeugen
-
Article
Open AccessHeidelberg colorectal data set for surgical data science in the sensor operating room
Image-based tracking of medical instruments is an integral part of surgical data science applications. Previous research has addressed the tasks of detecting, segmenting and tracking medical instruments based ...
-
Article
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
Surgical data science is a new research field that aims to observe all aspects of the patient treatment process in order to provide the right assistance at the right time. Due to the breakthrough successes of ...
-
Chapter and Conference Paper
Abstract: Clickstreamanalyse zur Qualitätssicherung in der crowdbasierten Bildsegmentierung
Mit der vermehrten Verbreitung von Verfahren aus dem Bereich des Maschinellen Lernens in der medizinische Bildverarbeitung wird eine große Menge von akkurat annotierten medizinischen Bilddaten benötigt. Die be...
-
Article
Quantitative bioimaging of p-boronophenylalanine in thin liver tissue sections as a tool for treatment planning in boron neutron capture therapy
An analytical method using laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) was developed and applied to assess enrichment of 10B-containing p-boronophenylalanine-fructose (BPA-f) and its p...
