most citedDeep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data

90 citations · 90 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2026

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation

Erik Großkopf, Soumya Snigdha Kundu, Hendrik Möller +9

The Panoptic Quality (PQ) metric is the standard for jointly evaluating instance and semantic segmentation. However, its original definition relies on a One-to-One matching between…

cs.CV2021★ 90 cited

Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data

Kai Packhäuser, Sebastian Gündel, Nicolas Münster +3

With the rise and ever-increasing potential of deep learning techniques in recent years, publicly available medical datasets became a key factor to enable reproducible development…