21 Result(s)

Article

Automatic caries detection in bitewing radiographs: part I—deep learning

The aim of this work was to assemble a large annotated dataset of bitewing radiographs and to use convolutional neural networks to automate the detection of dental caries in bitewing radiographs with human-lev...

Lukáš Kunt, Jan Kybic, Valéria Nagyová, Antonín Tichý in Clinical Oral Investigations (2023)

Article

Fully automated imaging protocol independent system for pituitary adenoma segmentation: a convolutional neural network—based model on sparsely annotated MRI

This study aims to develop a fully automated imaging protocol independent system for pituitary adenoma segmentation from magnetic resonance imaging (MRI) scans that can work without user interaction and evalua...

Martin Černý, Jan Kybic, Martin Májovský, Vojtěch Sedlák… in Neurosurgical Review (2023)

Chapter and Conference Paper

Generalized Multiple Instance Learning for Cancer Detection in Digital Histopathology

We address the task of detecting cancer in histological slide images based on training with weak, slide- and patch-level annotations, which are considerably easier to obtain than pixel-level annotations. we u...

Jan Hering, Jan Kybic in Image Analysis and Recognition (2020)

Chapter and Conference Paper

Detection and Localization of Drosophila Egg Chambers in Microscopy Images

Drosophila melanogaster is a well-known model organism that can be used for studying oogenesis (egg chamber development) including gene expression patterns. Standard analysis methods require manual segme...

Jiří Borovec, Jan Kybic, Rodrigo Nava in Machine Learning in Medical Imaging (2017)

Chapter and Conference Paper

Binary Pattern Dictionary Learning for Gene Expression Representation in Drosophila Imaginal Discs

We present an image processing pipeline which accepts a large number of images, containing spatial expression information for thousands of genes in Drosophila imaginal discs. We assume that the gene activation...

Jiří Borovec, Jan Kybic in Computer Vision – ACCV 2016 Workshops (2017)

Chapter and Conference Paper

Langerhans Islet Volume Estimation from 3D Optical Projection Tomography

This paper concerns the comparison of automatic volume estimation methods for isolated pancreatic islets. The estimated islet volumes are needed during the process of assessing the islet sample quality prior t...

Jan Švihlík, Jan Kybic, David Habart… in Computer Vision – ACCV 2016 Workshops (2017)

Chapter and Conference Paper

Classification of Tumor Epithelium and Stroma in Colorectal Cancer Based on Discrete Tchebichef Moments

Colorectal cancer is a major cause of mortality. As the disease progresses, adenomas and their surrounding tissue are modified. Therefore, a large number of samples from the epithelial cell layer and stroma mu...

Rodrigo Nava, Germán González, Jan Kybic… in Clinical Image-Based Procedures. Translati… (2016)

Chapter and Conference Paper

Path Descriptors for Geometric Graph Matching and Registration

Graph and tree-like structures such as blood vessels and neuronal networks are abundant in medical imaging. We present a method to calculate path descriptors in geometrical graphs, so that the similarity betwe...

Miguel Amável Pinheiro, Jan Kybic in Image Analysis and Recognition (2014)

Chapter and Conference Paper

Active Testing Search for Point Cloud Matching

We present a general approach for solving the point-cloud matching problem for the case of mildly nonlinear transformations. Our method quickly finds a coarse approximation of the solution by exploring a reduc...

Miguel Amável Pinheiro, Raphael Sznitman… in Information Processing in Medical Imaging (2013)

Chapter and Conference Paper

High-Dimensional Entropy Estimation for Finite Accuracy Data: R-NN Entropy Estimator

We address the problem of entropy estimation for high-dimensional finite-accuracy data. Our main application is evaluating high-order mutual information image similarity criteria for multimodal image registrat...

Jan Kybic in Information Processing in Medical Imaging (2007)

Chapter and Conference Paper

Image Registration Accuracy Estimation Without Ground Truth Using Bootstrap

We consider the problem of estimating the local accuracy of image registration when no ground truth data is available. The technique is based on a statistical resampling technique called bootstrap. Only the tw...

Jan Kybic, Daniel Smutek in Computer Vision Approaches to Medical Image Analysis (2006)

Chapter and Conference Paper

Consistent and Elastic Registration of Histological Sections Using Vector-Spline Regularization

Here we present a new image registration algorithm for the alignment of histological sections that combines the ideas of B-spline based elastic registration and consistent image registration, to allow simultan...

Ignacio Arganda-Carreras… in Computer Vision Approaches to Medical Imag… (2006)

Chapter and Conference Paper

Computational Elastography from Standard Ultrasound Image Sequences by Global Trust Region Optimization

A new approach is proposed to estimate the spatial distribution of shear modulus of tissues in-vivo. An image sequence is acquired using a standard medical ultrasound scanner while varying the force applied to...

Jan Kybic, Daniel Smutek in Information Processing in Medical Imaging (2005)

Chapter

Elastic Registration for Biomedical Applications

Jan Kybic, Michael Unser in Handbook of Biomedical Image Analysis (2005)

Chapter and Conference Paper

Symmetric BEM Formulation for the M/EEG Forward Problem

The forward M/EEG problem consists in simulating the electric potential and the magnetic field produced outside the head by currents in the brain related to neural activity. All previously proposed solutions u...

Geoffray Adde, Maureen Clerc, Olivier Faugeras… in Information Processing in Medical Imaging (2003)