176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of RegensburgDE7 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE5 papers
- German Cancer Research CenterDE4 papers
- Heidelberg UniversityDE4 papers
- National Center for Tumor DiseasesDE4 papers
- OTH RegensburgDE4 papers
- Nationales Centrum für Tumorerkrankungen DresdenDE3 papers
- Universitätsklinikum WürzburgDE3 papers
- University Hospital HeidelbergDE3 papers
- University Medical Centre MannheimDE3 papers
- Charité - Universitätsmedizin BerlinDE2 papers
- Comprehensive Cancer Center ErlangenDE2 papers
13 papers
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…
One Size Fits None: Rethinking Fairness in Medical AI
Roland Roller, Michael Hahn, Ajay Madhavan Ravichandran +10
Machine learning (ML) models are increasingly used to support clinical decision-making. However, real-world medical datasets are often noisy, incomplete, and imbalanced, leading to…
Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study
Lukas Heinlein, Roman C. Maron, Achim Hekler +27
Early detection of melanoma, a potentially lethal type of skin cancer with high prevalence worldwide, improves patient prognosis. In retrospective studies, artificial intelligence…
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
Achim Hekler, Roman C. Maron, Sarah Haggenmüller +28
Background: Convolutional neural network (CNN)-based melanoma classifiers face several challenges that limit their usefulness in clinical practice. Objective: To investigate the im…
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis
Ričards Marcinkevičs, Patricia Reis Wolfertstetter, Ugne Klimiene +9
Appendicitis is among the most frequent reasons for pediatric abdominal surgeries. Previous decision support systems for appendicitis have focused on clinical, laboratory, scoring,…
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…
Tensor renormalization group study of the 3d model
Jacques Bloch, Raghav G. Jha, Robert Lohmayer +1
We calculate thermodynamic potentials and their derivatives for the three-dimensional model using tensor-network methods to investigate the well-known second-order phase tra…
Polyakov formulas for conical singularities in two dimensions
Clara L. Aldana, Klaus Kirsten, Julie Rowlett
We investigate the zeta-regularized determinant and its variation in the presence of conical singularities, boundaries, and corners. For surfaces with isolated conical singularitie…
Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract
Marc Aubreville, Miguel Goncalves, Christian Knipfer +5
Squamous Cell Carcinoma (SCC) is the most common cancer type of the epithelium and is often detected at a late stage. Besides invasive diagnosis of SCC by means of biopsy and histo…
A Cahn--Hilliard--Darcy model for tumour growth with chemotaxis and active transport
Harald Garcke, Kei Fong Lam, Emanuel Sitka +1
Using basic thermodynamic principles we derive a Cahn--Hilliard--Darcy model for tumour growth including nutrient diffusion, chemotaxis, active transport, adhesion, apoptosis and p…
Tuning Tempered Transitions
Gundula Behrens, Nial Friel, Merrilee Hurn
The method of tempered transitions was proposed by Neal (1996) for tackling the difficulties arising when using Markov chain Monte Carlo to sample from multimodal distributions. In…