Anna Jezierska - Publikacje - MOST Wiedzy

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Rok 2024
  • Learning sperm cells part segmentation with class-specific data augmentation
    Publikacja

    - Rok 2024

    Infertility affects around 15% of couples worldwide. Male fertility problems include poor sperm quality and low sperm count. The advanced fertility treatment methods like ICSI are nowadays supported by vision systems to assist embryologists in selecting good quality sperm. Computer-Assisted Semen Analysis (CASA) provides quantitative and qualitative sperm analysis concerning concentration, motility, morphology, vitality, and fragmentation....

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Rok 2023
Rok 2022
Rok 2021
Rok 2020
  • Global Optimization for Recovery of Clipped Signals Corrupted With Poisson-Gaussian Noise
    Publikacja

    - IEEE SIGNAL PROCESSING LETTERS - Rok 2020

    We study a variational formulation for reconstructing nonlinearly distorted signals corrupted with a Poisson-Gaussian noise. In this situation, the data fidelity term consists of a sum of a weighted least squares term and a logarithmic one. Both of them are precomposed by a nonlinearity, modelling a clipping effect, which is assumed to be rational. A regularization term, being a piecewise rational approximation of the ℓ0 function...

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Rok 2019
  • Labeler-hot Detection of EEG Epileptic Transients
    Publikacja

    - Rok 2019

    Preventing early progression of epilepsy and sothe severity of seizures requires effective diagnosis. Epileptictransients indicate the ability to develop seizures but humansoverlook such brief events in an electroencephalogram (EEG)what compromises patient treatment. Traditionally, trainingof the EEG event detection algorithms has relied on groundtruth labels, obtained from the consensus...

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Rok 2018
  • Instrument detection and pose estimation with rigid part mixtures model in video-assisted surgeries

    Localizing instrument parts in video-assisted surgeries is an attractive and open computer vision problem. A working algorithm would immediately find applications in computer-aided interventions in the operating theater. Knowing the location of tool parts could help virtually augment visual faculty of surgeons, assess skills of novice surgeons, and increase autonomy of surgical robots. A surgical tool varies in appearance due to...

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  • Proximal primal–dual best approximation algorithm with memory
    Publikacja

    - COMPUTATIONAL OPTIMIZATION AND APPLICATIONS - Rok 2018

    We propose a new modified primal–dual proximal best approximation method for solving convex not necessarily differentiable optimization problems. The novelty of the method relies on introducing memory by taking into account iterates computed in previous steps in the formulas defining current iterate. To this end we consider projections onto intersections of halfspaces generated on the basis of the current as well as the previous...

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  • Spatially variant PSF modeling in confocal macroscopy
    Publikacja

    - Rok 2018

    The point spread function (PSF) of imaging systems plays an essential role in image reconstruction. In the context of confocal microscopy, optical performance degrades towards the edge of the field of view. In confocal macroscopy, the related artifacts are even stronger, as the field of view is much larger. Because the related PSFs are strongly spatially variant, it is essential to be able to model them with few parameters. The...

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Rok 2017
  • Surgical tool tracking by on-line selection of structural correlation filters
    Publikacja

    In visual tracking of surgical instruments, correlation filtering finds the best candidate with maximal correlation peak. However, most trackers only consider capturing target appearance but not target structure. In this paper we propose surgical instrument tracking approach that integrates prior knowledge related to rotation of both shaft and tool tips. To this end, we employ rigid parts mixtures model of an instrument. The rigidly...

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