191 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Siemens (Germany)DE16 papers
- University of RegensburgDE14 papers
- Institute for Information RecordingUA4 papers
- Karlsruhe Institute of TechnologyDE4 papers
- National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”UA4 papers
- Technical University of MunichDE4 papers
- University Hospital RegensburgDE4 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE3 papers
- Fraunhofer Institute for Integrated CircuitsDE3 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE3 papers
- Institute of PhysicsPL3 papers
- Ludwig-Maximilians-Universität MünchenDE3 papers
9 papers · 1 filter
SiMiC: Context-Aware Silicon Microstructure Characterization Using Attention-Based Convolutional Neural Networks for Field-Emission Tip Analysis
Jing Jie Tan, Rupert Schreiner, Matthias Hausladen +8
Accurate characterization of silicon microstructures is essential for advancing microscale fabrication, quality control, and device performance. Traditional analysis using Scanning…
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning
Akis Linardos, Sarthak Pati, Ujjwal Baid +25
We present the design and results of the MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024, which focuses on federated learning (FL) for glioma sub-region segmentation in m…
Med-VCD: Mitigating Hallucination for Medical Large Vision Language Models through Visual Contrastive Decoding
Zahra Mahdavi, Zahra Khodakaramimaghsoud, Hooman Khaloo +4
Large vision-language models (LVLMs) are now central to healthcare applications such as medical visual question answering and imaging report generation. Yet, these models remain vu…
Learning Neural Parametric 3D Breast Shape Models for Metrical Surface Reconstruction From Monocular RGB Videos
Maximilian Weiherer, Antonia von Riedheim, Vanessa Brébant +2
We present a neural parametric 3D breast shape model and, based on this model, introduce a low-cost and accessible 3D surface reconstruction pipeline capable of recovering accurate…
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge
Tobias Rueckert, David Rauber, Raphaela Maerkl +58
Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minim…
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art
Tobias Rueckert, Daniel Rueckert, Christoph Palm
In the field of computer- and robot-assisted minimally invasive surgery, enormous progress has been made in recent years based on the recognition of surgical instruments in endosco…
Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans
Maximilian Weiherer, Andreas Eigenberger, Bernhard Egger +3
We present the Regensburg Breast Shape Model (RBSM) -- a 3D statistical shape model of the female breast built from 110 breast scans acquired in a standing position, and the first…
Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis
Luis A. de Souza, Luis C. S. Afonso, Alanna Ebigbo +5
In this work, we introduce the unsupervised Optimum-Path Forest (OPF) classifier for learning visual dictionaries in the context of Barrett's esophagus (BE) and automatic adenocarc…
Face Recognition with Machine Learning in OpenCV_ Fusion of the results with the Localization Data of an Acoustic Camera for Speaker Identification
Johannes Reschke, Armin Sehr
This contribution gives an overview of face recogni-tion algorithms, their implementation and practical uses. First, a training set of different persons' faces has to be collected…