About
Timeline
Nov 2019-Oct 2024
Doctoral student, Dr. sc. hum.
Medical Faculty, University Heidelberg, Germany
My work centres around 3D reconstruction of valve morphology using deep learning and sensor based methods, unpaired image translation, and landmark detection for surgical scene understanding. Additionally, I conceptualised and lead the development of smartMVR: a software tool to perform quantitative 3D analysis and augmented reality visualisations of the mitral valve.
Cumulative dissertation titled: Deep learning based image analysis for endoscopic minimally invasive mitral valve repair
Medical Faculty, University Heidelberg, Germany
My work centres around 3D reconstruction of valve morphology using deep learning and sensor based methods, unpaired image translation, and landmark detection for surgical scene understanding. Additionally, I conceptualised and lead the development of smartMVR: a software tool to perform quantitative 3D analysis and augmented reality visualisations of the mitral valve.
Cumulative dissertation titled: Deep learning based image analysis for endoscopic minimally invasive mitral valve repair
Nov 2019-Oct 2024
Research Associate (full-time) AICM
Dept. of Cardiac Surgery, University Hospital Heidelberg, Germany
In my role as a researcher, I developed novel deep learning methods for self-supervised depth estimation from stereo-endoscopic images, to generate realistic images from patient-specific heart valve replica, and for multi-view temporal landmark detection of suture points. Research focus: Computer assisted surgeries, Computer vision, Deep learning, Endoscopic imaging, Depth sensing, 3D reconstruction, Tracking, Image generation
Dept. of Cardiac Surgery, University Hospital Heidelberg, Germany
In my role as a researcher, I developed novel deep learning methods for self-supervised depth estimation from stereo-endoscopic images, to generate realistic images from patient-specific heart valve replica, and for multi-view temporal landmark detection of suture points. Research focus: Computer assisted surgeries, Computer vision, Deep learning, Endoscopic imaging, Depth sensing, 3D reconstruction, Tracking, Image generation
Apr 2017-Oct 2019
Master student, M.Sc. Medical Systems Engineering
Otto von Guericke University, Magdeburg, Germany
Sparse (SLAM, FLANN, COLMAP) and dense (SGM, MonoDepth2, PSMNet, DispNet) multi-view reconstruction methods. Experience working with OpenCV, C++, PyTorch, Tensorflow. Acquisition, curation, and preparation of in-house endoscopic datasets, which were released as part of two publicly available challenges at MICCAI 2021 and 2022 . Specialisations: Interventional imaging, Deep learning, Image processing, Computer vision, Medical Computer Science. Grade: 1.4/4 (Max.: 1.0, Min. passing: 4.0).
Master thesis titled: Depth estimation for stereo-endoscopy (Grade: 1.0)
Otto von Guericke University, Magdeburg, Germany
Sparse (SLAM, FLANN, COLMAP) and dense (SGM, MonoDepth2, PSMNet, DispNet) multi-view reconstruction methods. Experience working with OpenCV, C++, PyTorch, Tensorflow. Acquisition, curation, and preparation of in-house endoscopic datasets, which were released as part of two publicly available challenges at MICCAI 2021 and 2022 . Specialisations: Interventional imaging, Deep learning, Image processing, Computer vision, Medical Computer Science. Grade: 1.4/4 (Max.: 1.0, Min. passing: 4.0).
Master thesis titled: Depth estimation for stereo-endoscopy (Grade: 1.0)
Jan 2018-Sep 2018
Research assistant (student), Computer assisted Surgeries Working Group
Otto von Guericke University, Magdeburg, Germany
Worked on interventional imaging and navigation techniques, in particular fusion biopsy for prostate cancer screening, medical visualisation and analysis, 3D visualisation, 2D-3D image registration using MevisLab scripting, 3D Slicer, and ParaView. Focus: Multi-modal MRI-US image registration, medical visualisation (MeVis Lab, 3D Slicer+python, Philips UroNav)
Otto von Guericke University, Magdeburg, Germany
Worked on interventional imaging and navigation techniques, in particular fusion biopsy for prostate cancer screening, medical visualisation and analysis, 3D visualisation, 2D-3D image registration using MevisLab scripting, 3D Slicer, and ParaView. Focus: Multi-modal MRI-US image registration, medical visualisation (MeVis Lab, 3D Slicer+python, Philips UroNav)
Nov 2014-Mar 2017
Educator, Business Analyst, Market research
eHelium advisory Services Pvt. Ltd., Chennai, India
In my start-up stint, I took up various roles: strategic and product initiatives for driving growth of key-metrics, worked as an empanelled trainer for multiple courses, understanding consumer pain points and translating them to product teams, new product/service launches, and much more.
eHelium advisory Services Pvt. Ltd., Chennai, India
In my start-up stint, I took up various roles: strategic and product initiatives for driving growth of key-metrics, worked as an empanelled trainer for multiple courses, understanding consumer pain points and translating them to product teams, new product/service launches, and much more.
Jun 2010-May 2014
Bachelor student, B.E. Biomedical Engineering
Manipal University, Karnataka, India
Specialisations: Medical imaging and Computer Vision, Biomedical Signal Processing. Grade: 8.69/10 (Max.: 10.0, Min. passing: 5.0)
Bachelor thesis titled: Cognitive State Assessment using EEG Signals (Grade 9/10)
Manipal University, Karnataka, India
Specialisations: Medical imaging and Computer Vision, Biomedical Signal Processing. Grade: 8.69/10 (Max.: 10.0, Min. passing: 5.0)
Bachelor thesis titled: Cognitive State Assessment using EEG Signals (Grade 9/10)
Skills
Focus areas
Deep learning, Computer vision, Data science, 3D reconstruction, Depth estimation, Landmark detection, Segmentation, Generative AI, Domain adaptation, Image generation, Data visualization, Explainable AI, Multi-modal registration, Tracking, Depth sensors.
Software tools
Python (professional), C++, Matlab, Pytorch, Pytorch lightning, Tensorflow, Scikit-learn, Pandas, OpenCV, Numpy, Git, Jupyter, Cuda, VSCode, Xcode (advanced), Ubuntu/Linux, Docker/Kubernetes, Slurm, Vmware, OS X, Windows Server.
Awards
Nov 2022
Best Poster Award
3rd yearly meeting, Informatics for Life consortium Heidelberg University, Germany
3rd yearly meeting, Informatics for Life consortium Heidelberg University, Germany
Jun 2022
Best Poster Award (Koehler, S., Sharan, L.)
Bildverarbeitung für Medizin (BVM) conference 2022 Heidelberg, Germany
Bildverarbeitung für Medizin (BVM) conference 2022 Heidelberg, Germany
Nov 2021
Best Poster Award (Sharan, L. and Karl, R.)
2nd yearly meeting, Informatics for Life consortium Heidelberg University, Germany
2nd yearly meeting, Informatics for Life consortium Heidelberg University, Germany
Oct 2020
Student participation grant MICCAI conference 2020
Lima, Peru (virtual participation)
Lima, Peru (virtual participation)
May 2020
3rd best poster award
19. Jahrestagung, CURAC 2020 Hamburg, Germany (virtual participation)
19. Jahrestagung, CURAC 2020 Hamburg, Germany (virtual participation)
Jan 2014
All Round Excellence in Academics (AREA) Award
Presented by Department of Biomedical Engineering, Manipal University, India
Presented by Department of Biomedical Engineering, Manipal University, India
Jan 2011
100% Freeship for undergraduate study
Awarded by Manipal University, India for outstanding performance in the All India admission test.
Awarded by Manipal University, India for outstanding performance in the All India admission test.
Writing
Aug 2024
Artificial intelligence in cardiovascular imaging and intervention
Engelhardt, S., Dar, S.U.H., Sharan, L., André, F., Nagel, E., Thomas, S., Herz Journal
Engelhardt, S., Dar, S.U.H., Sharan, L., André, F., Nagel, E., Thomas, S., Herz Journal
Oct 2023
Echoes from the DataRealm
Sharan, L., Kostiuchik, G., Engelhardt, Submission to the MICCAI educational challenge
Sharan, L., Kostiuchik, G., Engelhardt, Submission to the MICCAI educational challenge
Languages I speak
English
Native/Bilingual proficiency
German
Professional working proficiency
Tamil
Native/Bilingual proficiency
Kannada
Native/Bilingual proficiency
Hindi
Professional working proficiency