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Armaghan Moemeni

5 papers hereh-index 10301 citations28 works total

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

author position
  • middle author3
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedMixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures

6 citations · 8 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

Uni-Light: An Ultra-Lightweight Framework via Uncertainty-Aware Knowledge Distillation for Brain Tumour Segmentation

Libing Kuang, Soren Salehi, Ziling Wu +2

Accurate 3D brain tumour segmentation from multi-modal Magnetic Resonance Imaging (MRI) is essential for clinical diagnosis and treatment planning. Existing brain tumour segmentati…

cs.CV2025

Ensemble Foreground Management for Unsupervised Object Discovery

Ziling Wu, Armaghan Moemeni, Praminda Caleb-Solly

Unsupervised object discovery (UOD) aims to detect and segment objects in 2D images without handcrafted annotations. Recent progress in self-supervised representation learning has…

cs.CV2021

Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities

Saul Calderon-Ramirez, Shengxiang Yang, David Elizondo +1

In the context of the global coronavirus pandemic, different deep learning solutions for infected subject detection using chest X-ray images have been proposed. However, deep learn…

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