Wykaz publikacji wybranego autora

Marek Wodziński, dr inż.

adiunkt

Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej
WEAIiIB-kmie, Katedra Metrologii i Elektroniki

  • 2018

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / inżynieria biomedyczna

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0002-8076-6246 orcid iD

ResearcherID: V-7804-2017

Scopus: 57195258893

PBN: 5e70929a878c28a047398dfe

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • An AI‑based algorithm for the automatic evaluation of image quality in canine thoracic radiographs
2
  • Artifact augmentation for learning-based quality control of whole slide images
3
  • Data-driven color augmentation for H&E stained images in computational pathology
4
  • Deep generative networks for heterogeneous augmentation of cranial defects
5
  • Development of an artificial intelligence-based method for the diagnosis of the severity of myxomatous mitral valve disease from canine chest radiographs
6
  • DRU-Net: pulmonary artery segmentation via dense residual U-network with hybrid loss function
7
  • High-resolution cranial defect reconstruction by iterative, low-resolution, point cloud completion transformers
8
  • Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models
9
  • Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
10
  • Short-term prediction of disease symptoms severit of Parkinson’s disease
11
  • Towards clinical applicability and computational efficiency in automatic cranial implant design: an overview of the AutoImplant 2021 cranial implant design challenge
12
  • Unsupervised method for intra-patient registration of brain magnetic resonance images based on objective function weighting by inverse consistency: contribution to the BraTS-Reg challenge
13
  • Vision transformer for Parkinson’s disease classification using multilingual sustained vowel recordings
14
  • Why is the winner the best?