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20102025
most citedDermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

176 citations

Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

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…

cs.CV2025★ 4 cited

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…

cs.CV2021★ 6 cited

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…

cs.CV2019★ 10 cited

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…