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researcher

Ke Ma

13 papers hereh-index 5514.1k citations431 works total

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

author position
  • first author3
  • middle author8
  • last author1

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • eess.SY4
  • cs.CV3
  • eess.IV2
  • astro-ph.GA1
  • cond-mat.mtrl-sci1
  • eess.SP1
same name
  • Ke Ma — 9 papers, h 3
  • Ke Ma — 9 papers, h 4
  • Ke Ma — 8 papers, h 8
  • Ke Ma — 7 papers, h 6
  • Ke Ma — 5 papers, h 4
  • Ke Ma — 5 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
20152023
most citedGigapixel Whole-Slide Images Classification using Locally Supervised Learning

20 citations · 49 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023

Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning

Jingwei Zhang, Saarthak Kapse, Ke Ma +4

Whole slide image (WSI) classification is a critical task in computational pathology, requiring the processing of gigapixel-sized images, which is challenging for current deep-lear…

cs.CV2022

Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology

Jingwei Zhang, Saarthak Kapse, Ke Ma +4

Dense prediction tasks such as segmentation and detection of pathological entities hold crucial clinical value in computational pathology workflows. However, obtaining dense annota…

cs.CV2022★ 20 cited

Gigapixel Whole-Slide Images Classification using Locally Supervised Learning

Jingwei Zhang, Xin Zhang, Ke Ma +4

Histopathology whole slide images (WSIs) play a very important role in clinical studies and serve as the gold standard for many cancer diagnoses. However, generating automatic tool…

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