◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Muhammad Ashad Kabir

6 papers hereh-index 226 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • eess.IV2
  • cs.CV1
  • cs.HC1
same name
  • Muhammad Ashad Kabir — 6 papers, h 2
  • Muhammad Ashad Kabir — 5 papers, h 3
  • Muhammad Ashad Kabir — 3 papers, h 3
  • Muhammad Ashad Kabir — 2 papers, h 3
  • Muhammad Ashad Kabir — 2 papers, h 2
  • Muhammad Ashad Kabir — 2 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedAn Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types

2 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2025★ 2 cited

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types

Sauda Adiv Hanum, Ashim Dey, Muhammad Ashad Kabir

The skin, as the largest organ of the human body, is vulnerable to a diverse array of conditions collectively known as skin lesions, which encompass various dermatoses. Diagnosing…

eess.IV2024

From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19

Danny Falero, Muhammad Ashad Kabir, Nusrat Homaira

Artificial intelligence (AI) has emerged as a promising tool for predicting COVID-19 from medical images. In this paper, we propose a novel continual learning-based approach and pr…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.