8 Aug 2026Open access
An explainable and uncertainty aware lesion guided hybrid CNN ViT framework for diabetic retinopathy gradingPublisher siteDiscover Artificial Intelligence, Retinal Imaging and Analysis
Active, last published 2026
In retinal imaging and analysis
Micheal
Kumakech
Scholar“Research focused on Retinal Imaging and Analysis and adjacent fields.”
Claim Your Profile0
H-index
0
Citations
Micheal has not officially claimed their profile. If you are Micheal, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
icheal Kumakech is a researcher working on Retinal Imaging and Analysis. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Micheal's work has been cited 0 times across 1 active year. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Retinal Imaging and Analysis×2Retinal Diseases and Treatments×2
04 · Where I am
Affiliations
Affiliation on published researchCavendish University Uganda, UgandaDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
2 works22 May 2026Open access
A lesion-guided, explainable, and uncertainty-aware CNN–ViT framework for diabetic retinopathy grading: Implications for screening support in UgandaPublisher siteResearch Square, Retinal Imaging and Analysis
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Micheal?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you