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researcher

M. Toss

3 papers here

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

author position
  • middle author2

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

fields
  • cs.CV1
  • cs.LG1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

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

15 citations · 16 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2021★ 15 cited

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

Wenqi Lu, Michael Toss, Emad Rakha +2

Human epidermal growth factor receptor 2 (HER2) is an important prognostic and predictive factor which is overexpressed in 15-20% of breast cancer (BCa). The determination of its s…

cs.LG2021

L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients

Fayyaz Minhas, Michael S. Toss, Noor ul Wahab +2

Can we predict if an early stage cancer patient is at high risk of developing distant metastasis and what clinicopathological factors are associated with such a risk? In this paper…

eess.IV2021★ 1 cited

Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations

Noorul Wahab, Islam M Miligy, Katherine Dodd +24

Recent advances in whole slide imaging (WSI) technology have led to the development of a myriad of computer vision and artificial intelligence (AI) based diagnostic, prognostic, an…

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