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S. Hoogenboom

3 papers hereh-index 11410 citations37 works total

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

author position
  • middle author3

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

fields
  • eess.IV2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedNeural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images

14 citations · 19 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2024★ 4 cited

Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning

Zheyuan Zhang, Elif Keles, Gorkem Durak +35

Automated volumetric segmentation of the pancreas on cross-sectional imaging is needed for diagnosis and follow-up of pancreatic diseases. While CT-based pancreatic segmentation is…

eess.IV2022★ 1 cited

A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications

Tara M. Pattilachan, Ugur Demir, Elif Keles +7

Current data augmentation techniques and transformations are well suited for improving the size and quality of natural image datasets but are not yet optimized for medical imaging.…

cs.CV2022★ 14 cited

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images

Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo +9

Early detection of precancerous cysts or neoplasms, i.e., Intraductal Papillary Mucosal Neoplasms (IPMN), in pancreas is a challenging and complex task, and it may lead to a more f…

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