| Records |
| Author |
Zhong Jin; Jing-Yu Yang; Zhen Lou |
Title  |
A luminance-conditional distribution model of skin color information |
Type |
Miscellaneous |
| Year |
2005 |
Publication |
2005 Beijing International Conference on Imaging: Technology and Applications for the 21th Century, 280–281 |
Abbreviated Journal |
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Issue |
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Pages |
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| Address |
Beijing (China) |
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| Notes |
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Approved |
no |
| Call Number |
Admin @ si @ JYL2005 |
Serial |
628 |
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| Author |
Fernando Vilariño |
| Title |
A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy |
Type |
Book Whole |
| Year |
2006 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Abstract |
Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of intestinal contractions obtained by labelling all the motility events present in a video provided by a capsule with a wireless micro-camera, which is ingested by the patient. However, the visual analysis of these video sequences presents several im- portant drawbacks, mainly related to both the large amount of time needed for the visualization process, and the low prevalence of intestinal contractions in video.
In this work we propose a machine learning system to automatically detect the intestinal contractions in video capsule endoscopy, driving a very useful but not fea- sible clinical routine into a feasible clinical procedure. Our proposal is divided into two different parts: The first part tackles the problem of the automatic detection of phasic contractions in capsule endoscopy videos. Phasic contractions are dynamic events spanning about 4-5 seconds, which show visual patterns with a high variability. Our proposal is based on a sequential design which involves the analysis of textural, color and blob features with powerful classifiers such as SVM. This approach appears to cope with two basic aims: the reduction of the imbalance rate of the data set, and the modular construction of the system, which adds the capability of including domain knowledge as new stages in the cascade. The second part of the current work tackles the problem of the automatic detection of tonic contractions. Tonic contrac- tions manifest in capsule endoscopy as a sustained pattern of the folds and wrinkles of the intestine, which may be prolonged for an undetermined span of time. Our proposal is based on the analysis of the wrinkle patterns, presenting a comparative study of diverse features and classification methods, and providing a set of appro- priate descriptors for their characterization. We provide a detailed analysis of the performance achieved by our system both in a qualitative and a quantitative way. |
| Address |
CVC (UAB) |
| Corporate Author |
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Thesis |
Ph.D. thesis |
| Publisher |
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Place of Publication |
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Editor |
Petia Radeva |
| Language |
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Summary Language |
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Original Title |
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Series Title |
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| Series Volume |
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Series Issue |
84-933652-7-0 |
Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ Vil2006; IAM @ iam @ Vil2006 |
Serial |
738 |
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| Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; C. Malagelada; Petia Radeva |
| Title |
A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment |
Type |
Book Chapter |
| Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
Abbreviated Journal |
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| Volume |
4225 |
Issue |
|
Pages |
188–197 |
| Keywords |
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| Abstract |
Small Bowel Motility Assessment by means of Wireless Capsule Video Endoscopy constitutes a novel clinical methodology in which a capsule with a micro-camera attached to it is swallowed by the patient, emitting a RF signal which is recorded as a video of its trip throughout the gut. In order to overcome the main drawbacks associated with this technique -mainly related to the large amount of visualization time required-, our efforts have been focused on the development of a machine learning system, built up in sequential stages, which provides the specialists with the useful part of the video, rejecting those parts not valid for analysis. We successfully used Self Organized Maps in a general semi-supervised framework with the aim of tackling the different learning stages of our system. The analysis of the diverse types of images and the automatic detection of intestinal contractions is performed under the perspective of intestinal motility assessment in a clinical environment. |
| Address |
Cancun (Mexico) |
| Corporate Author |
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Thesis |
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| Publisher |
Springer Verlag |
Place of Publication |
Berlin-Heidelberg |
Editor |
J.P. Martinez–Trinidad et al |
| Language |
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Summary Language |
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Abbreviated Series Title |
LNCS |
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Edition |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
CIARP06 |
| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VSV2006d; IAM @ iam @ VSV2006e |
Serial |
729 |
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| Author |
A. Pujol; X. Varona; Joan Serrat |
| Title |
A machine vision system for the inspection of industrial sieves. |
Type |
Miscellaneous |
| Year |
1997 |
Publication |
VII SNRFAI. |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ PVS1997 |
Serial |
33 |
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| Author |
Joaquin Salas; Wendy Avalos; Rafael Castañeda; Mario Maya |
| Title |
A machine-vision system to measure the parameters describing the performance of a Foucault pendulum |
Type |
Journal |
| Year |
2006 |
Publication |
Machine Vision and Applications |
Abbreviated Journal |
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| Volume |
17 |
Issue |
2 |
Pages |
133–138 |
| Keywords |
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Editor |
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ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
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Approved |
no |
| Call Number |
Admin @ si @ SAC2006 |
Serial |
644 |
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| Author |
Mariano Vazquez; Ruth Aris; Guillaume Hozeaux; R.Aubry; P.Villar;Jaume Garcia ; Debora Gil; Francesc Carreras |
| Title |
A massively parallel computational electrophysiology model of the heart |
Type |
Journal Article |
| Year |
2011 |
Publication |
International Journal for Numerical Methods in Biomedical Engineering |
Abbreviated Journal |
IJNMBE |
| Volume |
27 |
Issue |
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Pages |
1911-1929 |
| Keywords |
computational electrophysiology; parallelization; finite element methods |
| Abstract |
This paper presents a patient-sensitive simulation strategy capable of using the most efficient way the high-performance computational resources. The proposed strategy directly involves three different players: Computational Mechanics Scientists (CMS), Image Processing Scientists and Cardiologists, each one mastering its own expertise area within the project. This paper describes the general integrative scheme but focusing on the CMS side presents a massively parallel implementation of computational electrophysiology applied to cardiac tissue simulation. The paper covers different angles of the computational problem: equations, numerical issues, the algorithm and parallel implementation. The proposed methodology is illustrated with numerical simulations testing all the different possibilities, ranging from small domains up to very large ones. A key issue is the almost ideal scalability not only for large and complex problems but also for medium-size meshes. The explicit formulation is particularly well suited for solving this highly transient problems, with very short time-scale. |
| Address |
Swansea (UK) |
| Corporate Author |
John Wiley & Sons, Ltd. |
Thesis |
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| Publisher |
John Wiley & Sons, Ltd. |
Place of Publication |
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Editor |
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| Notes |
IAM |
Approved |
no |
| Call Number |
IAM @ iam @ VAH2011 |
Serial |
1198 |
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| Author |
F.X. Perez; F. Javier Sanchez; Xavier Binefa; Xavier Roca; Jordi Vitria; Juan J. Villanueva |
| Title |
A mathematical morphology-based system for IC´s inspection and analysis. |
Type |
Conference Article |
| Year |
1993 |
Publication |
Institute of Physics Conferences Series |
Abbreviated Journal |
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| Volume |
135 |
Issue |
10 |
Pages |
381–384 |
| Keywords |
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| Abstract |
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| Address |
Bristol |
| Corporate Author |
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Thesis |
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| Publisher |
Institute of Physics |
Place of Publication |
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Expedition |
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Conference |
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| Notes |
MV;OR;ISE |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ PSB1993; IAM @ iam @ PSB1993 |
Serial |
150 |
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| Author |
Gemma Sanchez; Josep Llados; K. Tombre |
| Title |
A mean string algorithm to compute the average among a set of 2D shapes |
Type |
Journal Article |
| Year |
2002 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
23 |
Issue |
1-3 |
Pages |
203–214 |
| Keywords |
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| Abstract |
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| Notes |
DAG; IF: 0.409 |
Approved |
no |
| Call Number |
DAG @ dag @ SLT2002 |
Serial |
275 |
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| Author |
Gemma Sanchez; Josep Llados; K. Tombre |
| Title |
A mean string algorithm to compute the average among a set of 2D shapes |
Type |
Report |
| Year |
2000 |
Publication |
CVC Technical Report #38 |
Abbreviated Journal |
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Issue |
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Pages |
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| Address |
CVC (UAB) |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Series Title |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ SLT2000 |
Serial |
350 |
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| Author |
Olivier Penacchio; Xavier Otazu; Arnold J Wilkings; Sara M. Haigh |
| Title |
A mechanistic account of visual discomfort |
Type |
Journal Article |
| Year |
2023 |
Publication |
Frontiers in Neuroscience |
Abbreviated Journal |
FN |
| Volume |
17 |
Issue |
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Pages |
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| Keywords |
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| Abstract |
Much of the neural machinery of the early visual cortex, from the extraction of local orientations to contextual modulations through lateral interactions, is thought to have developed to provide a sparse encoding of contour in natural scenes, allowing the brain to process efficiently most of the visual scenes we are exposed to. Certain visual stimuli, however, cause visual stress, a set of adverse effects ranging from simple discomfort to migraine attacks, and epileptic seizures in the extreme, all phenomena linked with an excessive metabolic demand. The theory of efficient coding suggests a link between excessive metabolic demand and images that deviate from natural statistics. Yet, the mechanisms linking energy demand and image spatial content in discomfort remain elusive. Here, we used theories of visual coding that link image spatial structure and brain activation to characterize the response to images observers reported as uncomfortable in a biologically based neurodynamic model of the early visual cortex that included excitatory and inhibitory layers to implement contextual influences. We found three clear markers of aversive images: a larger overall activation in the model, a less sparse response, and a more unbalanced distribution of activity across spatial orientations. When the ratio of excitation over inhibition was increased in the model, a phenomenon hypothesised to underlie interindividual differences in susceptibility to visual discomfort, the three markers of discomfort progressively shifted toward values typical of the response to uncomfortable stimuli. Overall, these findings propose a unifying mechanistic explanation for why there are differences between images and between observers, suggesting how visual input and idiosyncratic hyperexcitability give rise to abnormal brain responses that result in visual stress. |
| Address |
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Place of Publication |
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Summary Language |
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| Notes |
NEUROBIT |
Approved |
no |
| Call Number |
Admin @ si @ POW2023 |
Serial |
3886 |
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| Author |
Sergio Vera; Miguel Angel Gonzalez Ballester; Debora Gil |
| Title |
A medial map capturing the essential geometry of organs |
Type |
Conference Article |
| Year |
2012 |
Publication |
ISBI Workshop on Open Source Medical Image Analysis software |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1691 - 1694 |
| Keywords |
Medial Surface Representation, Volume Reconstruction,Geometry , Image reconstruction , Liver , Manifolds , Shape , Surface morphology , Surface reconstruction |
| Abstract |
Medial representations are powerful tools for describing and parameterizing the volumetric shape of anatomical structures. Accurate computation of one pixel wide medial surfaces is mandatory. Those surfaces must represent faithfully the geometry of the volume. Although morphological methods produce excellent results in 2D, their complexity and quality drops across dimensions, due to a more complex description of pixel neighborhoods. This paper introduces a continuous operator for accurate and efficient computation of medial structures of arbitrary dimension. Our experiments show its higher performance for medical imaging applications in terms of simplicity of medial structures and capability for reconstructing the anatomical volume |
| Address |
Barcelona,Spain |
| Corporate Author |
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Thesis |
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| Publisher |
IEEE |
Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Series Issue |
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Edition |
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| ISSN |
1945-7928 |
ISBN |
978-1-4577-1857-1 |
Medium |
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Conference |
ISBI |
| Notes |
IAM |
Approved |
no |
| Call Number |
IAM @ iam @ VGG2012a |
Serial |
1989 |
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| Author |
Francesco Ciompi; Oriol Pujol; Petia Radeva |
| Title |
A meta-learning approach to Conditional Random Fields using Error-Correcting Output Codes |
Type |
Conference Article |
| Year |
2010 |
Publication |
20th International Conference on Pattern Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
710–713 |
| Keywords |
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| Abstract |
We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a classification problem where margin classifiers are used. The set of state transitions for the edge potential is treated as a set of different classes, thus defining a multi-class learning problem. The Error-Correcting Output Codes (ECOC) technique is used to deal with the multi-class problem. Furthermore, the point defined by the combination of margin classifiers in the ECOC space is interpreted in a probabilistic manner, and the obtained distance values are then converted into potential values. The proposed model exhibits very promising results when applied to two real detection problems. |
| Address |
Istanbul;Turkey |
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Series Issue |
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Edition |
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| ISSN |
1051-4651 |
ISBN |
978-1-4244-7542-1 |
Medium |
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Expedition |
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Conference |
ICPR |
| Notes |
MILAB;HUPBA |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ CPR2010a |
Serial |
1365 |
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| Author |
V. Valev; Petia Radeva |
| Title |
A Method of Solving Pattern or image Recognition Problems by Learning Boolean Formulas. |
Type |
Miscellaneous |
| Year |
1992 |
Publication |
Proc. of 11th IAPR International Conference on Pattern Recognition, Hague, Netherlands, IEEE Computer Society Press, vol. II, pp. 359–362. |
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MILAB |
Approved |
no |
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BCNPCL @ bcnpcl @ VaR1992b |
Serial |
253 |
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| Author |
Daniel Ponsa |
| Title |
A model based pedestrian tracking review |
Type |
Report |
| Year |
2001 |
Publication |
CVC Technical Report #69 |
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CVC (UAB) |
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invisible;ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ Pon2001 |
Serial |
522 |
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| Author |
Ernest Valveny; Enric Marti |
| Title |
A model for image generation and symbol recognition through the deformation of lineal shapes |
Type |
Journal Article |
| Year |
2003 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
24 |
Issue |
15 |
Pages |
2857-2867 |
| Keywords |
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| Abstract |
We describe a general framework for the recognition of distorted images of lineal shapes, which relies on three items: a model to represent lineal shapes and their deformations, a model for the generation of distorted binary images and the combination of both models in a common probabilistic framework, where the generation of deformations is related to an internal energy, and the generation of binary images to an external energy. Then, recognition consists in the minimization of a global energy function, performed by using the EM algorithm. This general framework has been applied to the recognition of hand-drawn lineal symbols in graphic documents. |
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Thesis |
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| Publisher |
Elsevier Science Inc. |
Place of Publication |
New York, NY, USA |
Editor |
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Edition |
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| ISSN |
0167-8655 |
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| Notes |
DAG; IAM |
Approved |
no |
| Call Number |
IAM @ iam @ VAM2003 |
Serial |
1653 |
| Permanent link to this record |
