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researcher

David R. J. Snead

7 papers hereh-index 11391 citations27 works total

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

author position
  • middle author6

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

fields
  • cs.AI2
  • eess.IV2
  • cs.CL1
  • cs.CY1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedOne Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

12 citations · 21 across the 6 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2025

CellOMaps: A Compact Representation for Robust Classification of Lung Adenocarcinoma Growth Patterns

Arwa Al-Rubaian, Gozde N. Gunesli, Wajd A. Althakfi +4

Lung adenocarcinoma (LUAD) is a morphologically heterogeneous disease, characterized by five primary histological growth patterns. The classification of such patterns is crucial du…

eess.IV2022★ 12 cited

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar +4

The recent surge in performance for image analysis of digitised pathology slides can largely be attributed to the advances in deep learning. Deep models can be used to initially lo…

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