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M. Bilal

6 papers hereh-index 191k citations43 works total

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

author position
  • first author1
  • middle author5

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

fields
  • cs.CV3
  • eess.IV2
  • q-bio.QM1
same name
  • M. Bilal — 14 papers, h 23
  • M. Bilal — 5 papers, h 13
  • M. Bilal — 3 papers, h 6
  • M. Bilal — 3 papers, h 6
  • M. Bilal — 1 paper, h 21
  • M. Bilal — 1 paper, h 8

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

most citedDeep Multi-Resolution Dictionary Learning for Histopathology Image Analysis

12 citations · 20 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022★ 1 cited

An Aggregation of Aggregation Methods in Computational Pathology

Mohsin Bilal, Robert Jewsbury, Ruoyu Wang +4

Image analysis and machine learning algorithms operating on multi-gigapixel whole-slide images (WSIs) often process a large number of tiles (sub-images) and require aggregating pre…

cs.CV2021★ 2 cited

FedDropoutAvg: Generalizable federated learning for histopathology image classification

Gozde N. Gunesli, Mohsin Bilal, Shan E Ahmed Raza +1

Federated learning (FL) enables collaborative learning of a deep learning model without sharing the data of participating sites. FL in medical image analysis tasks is relatively ne…

cs.CV2021★ 1 cited

Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge

Mostafa Jahanifar, Adam Shephard, Neda Zamani Tajeddin +5

The detection of mitotic figures from different scanners/sites remains an important topic of research, owing to its potential in assisting clinicians with tumour grading. The MItos…

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