activity
20232026
most citedPrecise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs

8 citations · 14 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

CapsuleMotion: A Lightweight Real-Time Visual Motion Predictor for Capsule Endoscopy

Oliver Bause, Julia Werner, Oliver Bringmann

Video Capsule Endoscopy (VCE) is a non-invasive medical examination that allows for the observation of the small intestine, which is otherwise difficult to access. A fundamental ch…

cs.CV2026

Image Compression with Bubble-Aware Frame Rate Adaptation for Energy-Efficient Video Capsule Endoscopy

Oliver Bause, Jörg Gamerdinger, Julia Werner +1

Video Capsule Endoscopy (VCE) is a promising method for improving the medical examination of the small intestine in the gastrointestinal tract. A key challenge is their limited siz…

cs.CV2026

Reliable Mislabel Detection for Video Capsule Endoscopy Data

Julia Werner, Julius Oexle, Oliver Bause +5

The classification performance of deep neural networks relies strongly on access to large, accurately annotated datasets. In medical imaging, however, obtaining such datasets is pa…

cs.CV2025★ 1 cited

Seeing More with Less: Video Capsule Endoscopy with Multi-Task Learning

Julia Werner, Oliver Bause, Julius Oexle +4

Video capsule endoscopy has become increasingly important for investigating the small intestine within the gastrointestinal tract. However, a persistent challenge remains the short…

eess.IV2025

Smart Video Capsule Endoscopy: Raw Image-Based Localization for Enhanced GI Tract Investigation

Oliver Bause, Julia Werner, Paul Palomero Bernardo +1

For many real-world applications involving low-power sensor edge devices deep neural networks used for image classification might not be suitable. This is due to their typically la…

eess.SY2025

Systematic Hardware Integration Testing for Smart Video-based Medical Device Prototypes

Oliver Bause, Julia Werner, Oliver Bringmann

This paper presents a hardware-in-the-loop (HIL) verification system for intelligent, camera-based in-body medical devices. A case study of a Video Capsule Endoscopy (VCE) prototyp…

cs.CV2025★ 2 cited

Enhanced Anomaly Detection for Capsule Endoscopy Using Ensemble Learning Strategies

Julia Werner, Christoph Gerum, Jorg Nick +4

Capsule endoscopy is a method to capture images of the gastrointestinal tract and screen for diseases which might remain hidden if investigated with standard endoscopes. Due to the…

eess.SP2024★ 3 cited

Energy-Efficient Seizure Detection Suitable for low-power Applications

Julia Werner, Bhavya Kohli, Paul Palomero Bernardo +2

Epilepsy is the most common, chronic, neurological disease worldwide and is typically accompanied by reoccurring seizures. Neuro implants can be used for effective treatment by sup…

cs.LG2023★ 8 cited

Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs

Julia Werner, Christoph Gerum, Moritz Reiber +2

This paper presents a method to efficiently classify the gastroenterologic section of images derived from Video Capsule Endoscopy (VCE) studies by exploring the combination of a Co…