Lalith Sharan

According to our database, Lalith Sharan authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Surgical phase and instrument recognition: how to identify appropriate dataset splits.

Georgii Kostiuchik, Lalith Sharan, Benedikt Mayer, Ivo Wolf, Bernhard Preim, Sandy Engelhardt

Int. J. Comput. Assist. Radiol. Surg., April, 2024

2023

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

Lalith Sharan, Halvar Kelm, Gabriele Romano, Matthias Karck, Raffaele De Simone, Sandy Engelhardt

Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

Comparative evaluation of three commercially available markerless depth sensors for close-range use in surgical simulation.

Lukas Burger, Lalith Sharan, Roger Karl, Christina Wang, Matthias Karck, Raffaele De Simone, Ivo Wolf, Gabriele Romano, Sandy Engelhardt

Int. J. Comput. Assist. Radiol. Surg., 2023

2022

Mutually Improved Endoscopic Image Synthesis and Landmark Detection in Unpaired Image-to-Image Translation.

Lalith Sharan, Gabriele Romano, Sven Koehler, Halvar Kelm, Matthias Karck, Raffaele De Simone, Sandy Engelhardt

IEEE J. Biomed. Health Informatics, 2022

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

Lalith Sharan, Halvar Kelm, Gabriele Romano, Matthias Karck, Raffaele De Simone, Sandy Engelhardt

CoRR, 2022

Comparison of Evaluation Metrics for Landmark Detection in CMR Images.

Sven Koehler, Lalith Sharan, Julian Kuhm, Arman Ghanaat, Jelizaveta Gordejeva, Nike K. Simon, Niko M. Grell, Florian André, Sandy Engelhardt

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements.

Lukas Burger, Lalith Sharan, Samantha Fischer, Julian Brand, Maximillian Hehl, Gabriele Romano, Matthias Karck, Raffaele De Simone, Ivo Wolf, Sandy Engelhardt

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Stereo Correspondence and Reconstruction of Endoscopic Data Challenge.

Max Allan, A. Jonathan McLeod, Congcong Wang, Jean-Claude Rosenthal, Zhenglei Hu, Niklas Gard, Peter Eisert, Ke Xue Fu, Trevor Zeffiro, Wenyao Xia, Zhanshi Zhu, Huoling Luo, Fucang Jia, Xiran Zhang, Xiaohong Li, Lalith Sharan, Thomas Kurmann, Sebastian Schmid, Raphael Sznitman, Dimitris Psychogyios, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel

CoRR, 2021

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

Lalith Sharan, Gabriele Romano, Julian Brand, Halvar Kelm, Matthias Karck, Raffaele De Simone, Sandy Engelhardt

Int. J. Comput. Assist. Radiol. Surg., 2021

Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks.

Antonia Stern, Lalith Sharan, Gabriele Romano, Sven Koehler, Matthias Karck, Raffaele De Simone, Ivo Wolf, Sandy Engelhardt

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Towards augmented reality-based suturing in monocular laparoscopic training.

Chandrakanth Jayachandran Preetha, Jonathan Kloss, Fabian Siegfried Wehrtmann, Lalith Sharan, Carolyn Fan, Beat Peter Müller-Stich, Felix Nickel, Sandy Engelhardt

Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Abstract: Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training.

Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffaele De Simone, Ivo Wolf

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training.

Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffaele De Simone, Ivo Wolf

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019