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Muhammad Usman

Stanford University

7 papers hereh-index 171.3k citations30 works total

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

author position
  • first author2
  • middle author4

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV3
  • cs.CL1
affiliations
  • Stanford University
same name
  • Muhammad Usman — 14 papers, h 5
  • Muhammad Usman — 9 papers, h 3
  • Muhammad Usman — 8 papers, h 12
  • Muhammad Usman — 7 papers, h 7
  • Muhammad Usman — 7 papers, h 5
  • Muhammad Usman — 6 papers, h 3

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
20182025
most citedVolumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning

6 citations · 6 across the 4 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2025

Complex Swin Transformer for Accelerating Enhanced SMWI Reconstruction

Muhammad Usman, Sung-Min Gho

Susceptibility Map Weighted Imaging (SMWI) is an advanced magnetic resonance imaging technique used to detect nigral hyperintensity in Parkinsons disease. However, full resolution…

eess.IV2022

Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans

Azka Rehman, Muhammad Usman, Rabeea Jawaid +6

Accurate segmentation of mandibular canals in lower jaws is important in dental implantology. Medical experts determine the implant position and dimensions manually from 3D CT imag…

eess.IV2019★ 6 cited

Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning

Muhammad Usman, Byoung-Dai Lee, Shi Sub Byon +2

Accurate quantification of pulmonary nodules can greatly assist the early diagnosis of lung cancer, which can enhance patient survival possibilities. A number of nodule segmentatio…

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