Scholar
Mayank Golhar
Google Scholar ID: FjX3JAEAAAAJ
PhD Candidate, Johns Hopkins University School of Medicine
Citations & Impact
Citations
148
H-index
4
i10-index
4
Publications
9
Co-authors
6
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Golhar M. et al. 'Improving colonoscopy lesion classification using semi-supervised deep learning.' IEEE Access, 2020.
- Golhar M. et al. 'Blood Vessel Delineation in Endoscopic Images with Deep Learning Based Scene Classification.' Springer LNCS, 2018.
- Golhar M. et al. 'A Robust Method for Blood Vessel Extraction in Endoscopic Images with SVM-based Scene Classification.' ICPRAM 2017.
- M.S.E. Thesis: Explored jigsaw puzzle-based semi-supervised learning for polyp classification, achieving up to 9.8% performance gain; investigated domain adaptation and out-of-distribution detection advantages
- B.Tech. Thesis & Internship: Enhanced vessel detection in endoscopy videos (8% improvement with Frangi method) and endoscopic scene classification
Research Experience
- Research Assistant, Durr Lab, Johns Hopkins University, Baltimore, USA, Sept 2019–Present
- Senior Software Engineer, Medical Imaging Research Group, Samsung Research Institute, Bangalore, India, June 2017–Aug 2019
- Bachelor's Thesis, Image Processing and Computer Vision (IPCV) Laboratory, IIT Guwahati, India, July 2016–May 2017
- Research Intern, Computer Vision Laboratory (CVL), Chubu University, Japan, May 2016–July 2016
- Research Intern, Lab for Video and Image Analysis (LFOVIA), IIT Hyderabad, India, May 2015–July 2015
