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Jirí Chmelík

3 papers hereh-index 221 citations9 works total

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

author position
  • middle author2
  • last author1

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

fields
  • cs.CV1
  • eess.IV1
  • q-bio.TO1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedVerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

386 citations · 387 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2026

Spinal-Multiple-Myeloma-SEG: A Dual-Energy CT Dataset Extended with Trabecular Bone Segmentation of Lumbar Vertebrae

Michal Nohel, Vlastimil Valek, Katerina Krejci +3

We present an extension of the publicly available \textit{Spinal-Multiple-Myeloma-SEG} dataset, a dual-energy CT imaging resource for multiple myeloma research. The purpose of this…

q-bio.TO2025★ 1 cited

Segmentation of spinal rootlets across MRI contrasts with RootletSeg

Katerina Krejci, Jiri Chmelik, Sandrine Bedard +5

Purpose: To develop a deep learning method for the automatic segmentation of spinal nerve rootlets on various MRI scans. Material and Methods: This retrospective study included MRI…

cs.CV2020★ 386 cited

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat +66

Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit cl…

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