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Muhammad Dawood

University of Oxford

12 papers hereh-index 10434 citations26 works total

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

author position
  • first author3
  • middle author7

Across the 10 of 12 papers where every author was matched, so the position is known.

fields
  • eess.IV6
  • cs.CV2
  • cs.LG2
  • q-bio.QM2
affiliations
  • University of Oxford
ORCID 0000-0001-5358-9478
same name
  • Muhammad Dawood — 1 paper, h 2

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 citedSlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer

15 citations · 33 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

eess.IV2023

An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer

Adam J Shephard, Mostafa Jahanifar, Ruoyu Wang +6

Tumour-infiltrating lymphocytes (TILs) are considered as a valuable prognostic markers in both triple-negative and human epidermal growth factor receptor 2 (HER2) positive breast c…

cs.CV2023★ 1 cited

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar +86

Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovatio…

eess.IV2023★ 2 cited

Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images

Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas

How similar are two images? In computational pathology, where Whole Slide Images (WSIs) of digitally scanned tissue samples from patients can be multi-gigapixels in size, determina…

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