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researcher

R. Ecker

4 papers here

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedCryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images

119 citations · 136 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2020★ 17 cited

Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks

Amirreza Mahbod, Gerald Schaefer, Rupert Ecker +1

Pollen grain micrograph classification has multiple applications in medicine and biology. Automatic pollen grain image classification can alleviate the problems of manual categoris…

cs.CV2020

The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification

Amirreza Mahbod, Philipp Tschandl, Georg Langs +2

Malignant melanoma (MM) is one of the deadliest types of skin cancer. Analysing dermatoscopic images plays an important role in the early detection of MM and other pigmented skin l…

cs.CV2020

Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification

Amirreza Mahbod, Gerald Schaefer, Chunliang Wang +3

Skin cancer is among the most common cancer types. Dermoscopic image analysis improves the diagnostic accuracy for detection of malignant melanoma and other pigmented skin lesions…

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