Search Results for author: Matthias Karck

Found 7 papers, 3 papers with code

mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection

1 code implementation19 Jun 2022 Lalith Sharan, Halvar Kelm, Gabriele Romano, Matthias Karck, Raffaele De Simone, Sandy Engelhardt

The main evaluation metric available comes from Multi-object tracking (MOT) methods to benchmark performance on datasets such as KITTI with the recently proposed higher order tracking accuracy (HOTA) metric, which is capable of providing a better description of the performance over metrics such as MOTA, DetA, and IDF1.

Multi-Object Tracking object-detection +2

Point detection through multi-instance deep heatmap regression for sutures in endoscopy

1 code implementation16 Nov 2021 Lalith Sharan, Gabriele Romano, Julian Brand, Halvar Kelm, Matthias Karck, Raffaele De Simone, Sandy Engelhardt

Method: In this work, we formulate the suture detection task as a multi-instance deep heatmap regression problem, to identify entry and exit points of sutures.


Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation

1 code implementation14 Jul 2021 Lalith Sharan, Gabriele Romano, Sven Koehler, Halvar Kelm, Matthias Karck, Raffaele De Simone, Sandy Engelhardt

In this use case, it is of paramount importance to display objects like needles, sutures or instruments consistent in both domains while altering the style to a more tissue-like appearance.

Translation Unsupervised Image-To-Image Translation

Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries

no code implementations10 Jun 2018 Sandy Engelhardt, Raffaele De Simone, Peter M. Full, Matthias Karck, Ivo Wolf

Though, application of this approach to continuous video frames can result in flickering, which turned out to be especially prominent for this application.

Computers and Society

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