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Mavis Serwaa Yeboah · Peerford

University of Energy and Natural Resources / Scholars

MY

Mavis Serwaa Yeboah

University of Energy and Natural Resources

Publishing since 2024, latest 2026

Artificial Intelligence
Computer Vision and Pattern Recognition
Neurology
Ophthalmology
Radiology, Nuclear Medicine and Imaging

ORCID 0000-0003-0757-6697
Their record on OpenAlex

Publications: 22024–2026
Citations: 0to those papers
h-index: 0i10-index 0
Field-weighted impact: 0.001.00 is the world average
World top 10%: 0%0 of 2 scored papers
Open access: 50%1 papers free to read

By year

Papers, and the citations to them

Publications, left axisCitations to that year’s papers, right axis2026 still in progress

What they work on

From the classification of each paper

Subfields

Artificial Intelligence150%
Computer Vision and Pattern Recognition150%
Neurology150%

Publications

2 in all

Newest Most cited Oldest Title

Search their publications by title

Adaptive binary capsule network for complex image recognition
2026IAES International Journal of Artificial IntelligenceJournalOpen accessFirst author0 citations10.11591/ijai.v15.i4.pp3745-3760
Recognition of Colon Neoplasm using Contrast-Aware Capsule Network
2024PublicationFirst author

Download CV:PDF · Word

Who they write with Where their co-authors are Every publication

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Ophthalmology150%

Radiology, Nuclear Medicine and Imaging150%

Health Sciences
Life Sciences
Physical Sciences

Topics most written on

Advanced Neural Network Applications1
Adversarial Robustness in Machine Learning1
Brain Tumor Detection and Classification1
Glaucoma and retinal disorders1
Retinal Diseases and Treatments1
Retinal Imaging and Analysis1

Who they write with

Their most frequent co-authors, and the papers those co-authors share

Where their co-authors are

0% of their papers have a co-author abroad

Most frequent partner countries

Papers with at least one author in that country.

Institutions written with most

Catholic University College of GhanaGH2 papers
University of GhanaGH2 papers

Where they publish

IAES International Journal of Artificial Intelligence1

How it can be read

50% free to read

Diamond 1 · 50%Free to read and to publish
Closed 1 · 50%Behind a paywall

Most cited

Adaptive binary capsule network for complex image recognition
IAES International Journal of Artificial Intelligence
20260 citationsOpen access · Diamond
Recognition of Colon Neoplasm using Contrast-Aware Capsule Network
20240 citations

0 citations

10.1109/icast61769.2024.10856484