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Mohammed Ali Moni

3 papers hereh-index 284.7k citations115 works total

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

author position
  • last author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedPredicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

82 citations · 82 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2026

Retrieval Geometry Shapes Cache-Based Clip Adaptation

Mahir Shahriar Tamim, Md. Samiul Alim, Azmine Toushik Wasi +5

Cache-based test-time adaptation improves CLIP predictions by storing and retrieving examples from the target stream while keeping the model frozen. However, existing methods large…

cs.CV2026

Mobile CT Services for Rural, Regional, and Remote Areas: Current Practice and Future Integration with Telehealth and Regulatory-Authorised AI

Zhicheng Lu, Md Zahid Islam, M Mamun Huda +6

Computed tomography (CT) plays an essential role in clinical workflow to improve patient outcomes. However, access to CT imaging and specialist interpretation remains limited, part…

q-bio.QM2020★ 82 cited

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

Sakifa Aktar, Md. Martuza Ahamad, Md. Rashed-Al-Mahfuz +9

Introduction: For COVID-19 patients accurate prediction of disease severity and mortality risk would greatly improve care delivery and resource allocation. There are many patient-r…

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