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S. Bakas

33 papers hereh-index 5424.1k citations297 works total

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

author position
  • first author2
  • middle author16
  • last author7

Across the 25 of 33 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • eess.IV9
  • cs.LG3
  • q-bio.QM3
  • cs.AI1
  • cs.CY1
same name
  • S. Bakas — 2 papers, h 1

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
20182026
most citedA large annotated medical image dataset for the development and evaluation of segmentation algorithms

718 citations · 962 across the 21 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2024

GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging

Sarthak Pati, Szymon Mazurek, Spyridon Bakas

Generative Artificial Intelligence (GenAI) is a field of AI that creates new data samples from existing ones. It utilizing deep learning to overcome the scarcity and regulatory con…

cs.LG2019★ 9 cited

ModelHub.AI: Dissemination Platform for Deep Learning Models

Ahmed Hosny, Michael Schwier, Christoph Berger +13

Recent advances in artificial intelligence research have led to a profusion of studies that apply deep learning to problems in image analysis and natural language processing among…

cs.LG2018

Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

Micah J Sheller, G Anthony Reina, Brandon Edwards +2

Deep learning models for semantic segmentation of images require large amounts of data. In the medical imaging domain, acquiring sufficient data is a significant challenge. Labelin…

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