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Abu Saleh Musa Miah

University of Aizu

32 papers hereh-index 231.7k citations112 works total

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

author position
  • first author5
  • middle author24
  • last author2

Across the 31 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CV18
  • eess.IV3
  • cs.AI2
  • cs.HC2
  • cs.LG2
  • eess.SP2
affiliations
  • University of Aizu
  • Bangladesh Army University of Science and Technology (BAUST)
  • University of Rajshahi
Homepage
same name
  • Abu Saleh Musa Miah — 3 papers, h 5
  • Abu Saleh Musa Miah — 1 paper, h 4

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 citedA Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities

65 citations · 97 across the 28 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2025

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities

Abu Saleh Musa Miah, taro Suzuki, Jungpil Shin

Parkinsons Disease (PD) is a progressive neurological disorder that primarily affects motor functions and can lead to mild cognitive impairment (MCI) and dementia in its advanced s…

eess.IV2024★ 1 cited

Computer-Aided Osteoporosis Diagnosis Using Transfer Learning with Enhanced Features from Stacked Deep Learning Modules

Ayesha Siddiqua, Rakibul Hasan, Anichur Rahman +1

Knee osteoporosis weakens the bone tissue in the knee joint, increasing fracture risk. Early detection through X-ray images enables timely intervention and improved patient outcome…

eess.IV2024

Cervical Cancer Detection Using Multi-Branch Deep Learning Model

Tatsuhiro Baba, Abu Saleh Musa Miah, Jungpil Shin +1

Cervical cancer is a crucial global health concern for women, and the persistent infection of High-risk HPV mainly triggers this remains a global health challenge, with young women…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.