Sharif Amit Kamran
Scholar

Sharif Amit Kamran

Google Scholar ID: VPbqTxEAAAAJ
Senior AI & Computer Vision Engineer, Johnson & Johnson
Generative Adversarial NetworksMedical Image AnalysisComputer VisionImage Segmentation
Citations & Impact
All-time
Citations
2,031
 
H-index
25
 
i10-index
50
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted by various international conferences such as ESDR 2025, EADV 2025, MICCAI 2025, Frontiers in Imaging, Scientific Reports, ISBI 2025, and Heliyon.
Research Experience
  • Currently a Senior AI & Computer Vision Engineer at Johnson & Johnson; previously a Radiology AI Postdoctoral Scientist at Johnson & Johnson; interned at Genentech Inc. as a Data, Analytics, and Imaging Intern (May 2022 – Aug 2022) and Product Development Intern (May 2021 – Dec 2021).
Background
  • Senior AI & Computer Vision Engineer, focusing on the intersection of deep learning, computer vision, and medical imaging. Research interests include: Representation Learning with Limited Labels, Biomedical Image Synthesis, Segmentation, and Detection, Multi-modal Learning and Foundation Models for Medical Imaging.
Miscellany
  • Passionate about building scalable, label-efficient models that can drive clinical insights and improve patient outcomes.