39 citations · 63 across the 6 of their papers we have counts for
7 papers
Comparison of Evaluation Metrics for Landmark Detection in CMR Images
Sven Koehler, Lalith Sharan, Julian Kuhm +6
Cardiac Magnetic Resonance (CMR) images are widely used for cardiac diagnosis and ventricular assessment. Extracting specific landmarks like the right ventricular insertion points…
Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements
Lukas Burger, Lalith Sharan, Samantha Fischer +7
To support minimally-invasive intraoperative mitral valve repair, quantitative measurements from the valve can be obtained using an infra-red tracked stylus. It is desirable to vie…
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
Lalith Sharan, Gabriele Romano, Sven Koehler +4
The CycleGAN framework allows for unsupervised image-to-image translation of unpaired data. In a scenario of surgical training on a physical surgical simulator, this method can be…
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
Max Allan, Jonathan Mcleod, Congcong Wang +21
The stereo correspondence and reconstruction of endoscopic data sub-challenge was organized during the Endovis challenge at MICCAI 2019 in Shenzhen, China. The task was to perform…
Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks
Antonia Stern, Lalith Sharan, Gabriele Romano +5
Mitral valve repair is a surgery to restore the function of the mitral valve. To achieve this, a prosthetic ring is sewed onto the mitral annulus. Analyzing the sutures, which are…
Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training
Chandrakanth Jayachandran Preetha, Jonathan Kloss, Fabian Siegfried Wehrtmann +5
Minimally Invasive Surgery (MIS) techniques have gained rapid popularity among surgeons since they offer significant clinical benefits including reduced recovery time and diminishe…