output
20172025
most citedDeep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation

338 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025★ 1 cited

Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma

Lucas Sancéré, Carina Lorenz, Doris Helbig +9

Recent advancements in digital pathology have enabled comprehensive analysis of Whole-Slide Images (WSI) from tissue samples, leveraging high-resolution microscopy and computationa…

cs.CV2021

Vogtareuth Rehab Depth Datasets: Benchmark for Marker-less Posture Estimation in Rehabilitation

Soubarna Banik, Alejandro Mendoza Garcia, Lorenz Kiwull +2

Posture estimation using a single depth camera has become a useful tool for analyzing movements in rehabilitation. Recent advances in posture estimation in computer vision research…

cs.CV2018

Combining Heterogeneously Labeled Datasets For Training Segmentation Networks

Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth +3

Accurate segmentation of medical images is an important step towards analyzing and tracking disease related morphological alterations in the anatomy. Convolutional neural networks…

cs.CV2018★ 57 cited

Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI

Taro Langner, Anders Hedström, Katharina Mörwald +5

Purpose: An approach for the automated segmentation of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) in multicenter water-fat MRI scans of the abdomen was inv…