| Records |
| Author |
Marçal Rusiñol; Lluis Pere de las Heras; Joan Mas; Oriol Ramos Terrades; Dimosthenis Karatzas; Anjan Dutta; Gemma Sanchez; Josep Llados |
| Title |
CVC-UAB's participation in the Flowchart Recognition Task of CLEF-IP 2012 |
Type |
Conference Article |
| Year |
2012 |
Publication  |
Conference and Labs of the Evaluation Forum |
Abbreviated Journal |
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Issue |
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| Abstract |
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| Address |
Roma |
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Place of Publication |
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Conference |
CLEF |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ RHM2012 |
Serial |
2072 |
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| Author |
Aura Hernandez-Sabate; Monica Mitiko; Sergio Shiguemi; Debora Gil |
| Title |
A validation protocol for assessing cardiac phase retrieval in IntraVascular UltraSound |
Type |
Conference Article |
| Year |
2010 |
Publication |
Computing in Cardiology |
Abbreviated Journal |
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| Volume |
37 |
Issue |
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Pages |
899-902 |
| Keywords |
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| Abstract |
A good reliable approach to cardiac triggering is of utmost importance in obtaining accurate quantitative results of atherosclerotic plaque burden from the analysis of IntraVascular UltraSound. Although, in the last years, there has been an increase in research of methods for retrospective gating, there is no general consensus in a validation protocol. Many methods are based on quality assessment of longitudinal cuts appearance and those reporting quantitative numbers do not follow a standard protocol. Such heterogeneity in validation protocols makes faithful comparison across methods a difficult task. We propose a validation protocol based on the variability of the retrieved cardiac phase and explore the capability of several quality measures for quantifying such variability. An ideal detector, suitable for its application in clinical practice, should produce stable phases. That is, it should always sample the same cardiac cycle fraction. In this context, one should measure the variability (variance) of a candidate sampling with respect a ground truth (reference) sampling, since the variance would indicate how spread we are aiming a target. In order to quantify the deviation between the sampling and the ground truth, we have considered two quality scores reported in the literature: signed distance to the closest reference sample and distance to the right of each reference sample. We have also considered the residuals of the regression line of reference against candidate sampling. The performance of the measures has been explored on a set of synthetic samplings covering different cardiac cycle fractions and variabilities. From our simulations, we conclude that the metrics related to distances are sensitive to the shift considered while the residuals are robust against fraction and variabilities as far as one can establish a pair-wise correspondence between candidate and reference. We will further investigate the impact of false positive and negative detections in experimental data. |
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| Publisher |
IEEE |
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Edition |
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| ISSN |
0276-6547 |
ISBN |
978-1-4244-7318-2 |
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Conference |
CINC |
| Notes |
IAM; |
Approved |
no |
| Call Number |
IAM @ iam @ HSM2010 |
Serial |
1551 |
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| Author |
Simone Balocco; Maria Zuluaga; Guillaume Zahnd; Su-Lin Lee; Stefanie Demirci |
| Title |
Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting |
Type |
Book Whole |
| Year |
2016 |
Publication |
Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting |
Abbreviated Journal |
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Issue |
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Pages |
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| Keywords |
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| Publisher |
Elsevier |
Place of Publication |
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Edition |
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ISBN |
9780128110188 |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ BZZ2016 |
Serial |
2821 |
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| Author |
Chen Zhang; Maria del Mar Vila Muñoz; Petia Radeva; Roberto Elosua; Maria Grau; Angels Betriu; Elvira Fernandez-Giraldez; Laura Igual |
| Title |
Carotid Artery Segmentation in Ultrasound Images |
Type |
Conference Article |
| Year |
2015 |
Publication |
Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT2015), Joint MICCAI Workshops |
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| Address |
Munich; Germany; October 2015 |
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Conference |
CVII-STENT |
| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ ZVR2015 |
Serial |
2675 |
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| Author |
Miguel Reyes; Albert Clapes; Jose Ramirez; Juan R Revilla; Sergio Escalera |
| Title |
Automatic Digital Biometry Analysis based on Depth Maps |
Type |
Journal Article |
| Year |
2013 |
Publication |
Computers in Industry |
Abbreviated Journal |
COMPUTIND |
| Volume |
64 |
Issue |
9 |
Pages |
1316-1325 |
| Keywords |
Multi-modal data fusion; Depth maps; Posture analysis; Anthropometric data; Musculo-skeletal disorders; Gesture analysis |
| Abstract |
World Health Organization estimates that 80% of the world population is affected by back-related disorders during his life. Current practices to analyze musculo-skeletal disorders (MSDs) are expensive, subjective, and invasive. In this work, we propose a tool for static body posture analysis and dynamic range of movement estimation of the skeleton joints based on 3D anthropometric information from multi-modal data. Given a set of keypoints, RGB and depth data are aligned, depth surface is reconstructed, keypoints are matched, and accurate measurements about posture and spinal curvature are computed. Given a set of joints, range of movement measurements is also obtained. Moreover, gesture recognition based on joint movements is performed to look for the correctness in the development of physical exercises. The system shows high precision and reliable measurements, being useful for posture reeducation purposes to prevent MSDs, as well as tracking the posture evolution of patients in rehabilitation treatments. |
| Address |
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| Publisher |
Elsevier |
Place of Publication |
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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 |
HuPBA;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ RCR2013 |
Serial |
2252 |
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| Author |
Joan Serrat; Felipe Lumbreras; Antonio Lopez |
| Title |
Cost estimation of custom hoses from STL files and CAD drawings |
Type |
Journal Article |
| Year |
2013 |
Publication |
Computers in Industry |
Abbreviated Journal |
COMPUTIND |
| Volume |
64 |
Issue |
3 |
Pages |
299-309 |
| Keywords |
On-line quotation; STL format; Regression; Gaussian process |
| Abstract |
We present a method for the cost estimation of custom hoses from CAD models. They can come in two formats, which are easy to generate: a STL file or the image of a CAD drawing showing several orthogonal projections. The challenges in either cases are, first, to obtain from them a high level 3D description of the shape, and second, to learn a regression function for the prediction of the manufacturing time, based on geometric features of the reconstructed shape. The chosen description is the 3D line along the medial axis of the tube and the diameter of the circular sections along it. In order to extract it from STL files, we have adapted RANSAC, a robust parametric fitting algorithm. As for CAD drawing images, we propose a new technique for 3D reconstruction from data entered on any number of orthogonal projections. The regression function is a Gaussian process, which does not constrain the function to adopt any specific form and is governed by just two parameters. We assess the accuracy of the manufacturing time estimation by k-fold cross validation on 171 STL file models for which the time is provided by an expert. The results show the feasibility of the method, whereby the relative error for 80% of the testing samples is below 15%. |
| Address |
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Thesis |
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| Publisher |
Elsevier |
Place of Publication |
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| Notes |
ADAS; 600.057; 600.054; 605.203 |
Approved |
no |
| Call Number |
Admin @ si @ SLL2013; ADAS @ adas @ |
Serial |
2161 |
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| Author |
Juan Jose Rubio; Takahiro Kashiwa; Teera Laiteerapong; Wenlong Deng; Kohei Nagai; Sergio Escalera; Kotaro Nakayama; Yutaka Matsuo; Helmut Prendinger |
| Title |
Multi-class structural damage segmentation using fully convolutional networks |
Type |
Journal Article |
| Year |
2019 |
Publication |
Computers in Industry |
Abbreviated Journal |
COMPUTIND |
| Volume |
112 |
Issue |
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Pages |
103121 |
| Keywords |
Bridge damage detection; Deep learning; Semantic segmentation |
| Abstract |
Structural Health Monitoring (SHM) has benefited from computer vision and more recently, Deep Learning approaches, to accurately estimate the state of deterioration of infrastructure. In our work, we test Fully Convolutional Networks (FCNs) with a dataset of deck areas of bridges for damage segmentation. We create a dataset for delamination and rebar exposure that has been collected from inspection records of bridges in Niigata Prefecture, Japan. The dataset consists of 734 images with three labels per image, which makes it the largest dataset of images of bridge deck damage. This data allows us to estimate the performance of our method based on regions of agreement, which emulates the uncertainty of in-field inspections. We demonstrate the practicality of FCNs to perform automated semantic segmentation of surface damages. Our model achieves a mean accuracy of 89.7% for delamination and 78.4% for rebar exposure, and a weighted F1 score of 81.9%. |
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Summary Language |
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Original Title |
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Edition |
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Expedition |
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Conference |
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| Notes |
HuPBA; no proj |
Approved |
no |
| Call Number |
Admin @ si @ RKL2019 |
Serial |
3315 |
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| Author |
Craig Von Land; Ricardo Toledo; Juan J. Villanueva |
| Title |
TeleRegions: Application of Telematics in Cardiac Care. |
Type |
Miscellaneous |
| Year |
1997 |
Publication |
Computers in Cardiology, 1997. Piscataway, NJ: IEEE Computer Society Press, 24: 645–8. |
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Conference |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ISE @ ise @ VTV1997 |
Serial |
64 |
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| Author |
Craig Von Land; V. Lashin; A. Oriol; Juan J. Villanueva |
| Title |
Object-oriented Design of the DICOM Standard and its Application to Cardiovascular Imaging. |
Type |
Miscellaneous |
| Year |
1997 |
Publication |
Computers in Cardiology 1997. Piscataway, NJ: IEEE Computer Society Press,24: 645–8. |
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Approved |
no |
| Call Number |
ISE @ ise @ VLO1997 |
Serial |
68 |
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| Author |
David Rotger; Petia Radeva; Oriol Rodriguez |
| Title |
Vessel Tortuosity Extraction from IVUS Images |
Type |
Miscellaneous |
| Year |
2006 |
Publication |
Computers in Cardiology (CiC´06), 33: 689–692 |
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Issue |
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Pages |
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| Address |
Valencia (Spain) |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ RRR2006 |
Serial |
762 |
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| Author |
Karla Lizbeth Caballero; Joel Barajas; Oriol Pujol; J. Mauri; Petia Radeva |
| Title |
Using Radio Frequency Reconstructed IVUS Images in Tissue Classification |
Type |
Miscellaneous |
| Year |
2006 |
Publication |
Computers in Cardiology (CiC´06), 33: 533–536 |
Abbreviated Journal |
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Issue |
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Pages |
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| Address |
Valencia (Spain) |
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Place of Publication |
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Summary Language |
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Original Title |
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Edition |
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| Notes |
MILAB;HuPBA |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ CBP2006a |
Serial |
761 |
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| Author |
Jaume Garcia; Joel Barajas; Francesc Carreras; Sandra Pujades; Petia Radeva |
| Title |
An intuitive validation technique to compare local versus global tagged MRI analysis |
Type |
Conference Article |
| Year |
2005 |
Publication |
Computers In Cardiology |
Abbreviated Journal |
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| Volume |
32 |
Issue |
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Pages |
29–32 |
| Keywords |
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| Abstract |
Myocardium appears as a uniform tissue that seen in convectional Magnetic Resonance Images (MRI) shows just the contractile part of its movement. MR Tagging is a unique imaging technique that prints a grid over the tissue which moves according to the underlying movement of the myocardium revealing the true deformation of the cardiac muscle. Optical flow techniques based on spectral information estimate tissue displacement by analyzing information encoded in the phase maps which can be obtained using, local (Gabor) and global (HARP) methods. In this paper we compare both in synthetic and real Tagged MR sequences. We conclude that local method is slightly more accurate than the global one. On the other hand, global method is more efficient as it is much faster and less parameters have to be taken into account |
| Address |
Lyon (France) |
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Edition |
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ISBN |
0-7803-9337-6 |
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Conference |
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| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ GBC2005 |
Serial |
639 |
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| Author |
David Rotger; Misael Rosales; Jaume Garcia; Oriol Pujol ; J. Mauri; Petia Radeva |
| Title |
Active Vessel: A New Multimedia Workstation for Intravascular Ultrasound and Angiography Fusion |
Type |
Journal Article |
| Year |
2003 |
Publication |
Computers in Cardiology |
Abbreviated Journal |
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| Volume |
30 |
Issue |
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Pages |
65-68 |
| Keywords |
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| Abstract |
AcriveVessel is a new multimedia workstation which enables the visualization, acquisition and handling of both image modalities, on- and ofline. It enables DICOM v3.0 decompression and browsing, video acquisition,repmduction and storage for IntraVascular UltraSound (IVUS) and angiograms with their corresponding ECG,automatic catheter segmentation in angiography images (using fast marching algorithm). BSpline models definition for vessel layers on IVUS images sequence and an extensively validated tool to fuse information. This approach defines the correspondence of every IVUS image with its correspondent point in the angiogram and viceversa. The 3 0 reconstruction of the NUS catheterhessel enables real distance measurements as well as threedimensional visualization showing vessel tortuosity in the space. |
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| Notes |
IAM;MILAB;HuPBA |
Approved |
no |
| Call Number |
IAM @ iam @ RRG2003 |
Serial |
1647 |
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| Author |
Frederic Sampedro; Sergio Escalera; Anna Domenech; Ignasi Carrio |
| Title |
A computational framework for cancer response assessment based on oncological PET-CT scans |
Type |
Journal Article |
| Year |
2014 |
Publication |
Computers in Biology and Medicine |
Abbreviated Journal |
CBM |
| Volume |
55 |
Issue |
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Pages |
92–99 |
| Keywords |
Computer aided diagnosis; Nuclear medicine; Machine learning; Image processing; Quantitative analysis |
| Abstract |
In this work we present a comprehensive computational framework to help in the clinical assessment of cancer response from a pair of time consecutive oncological PET-CT scans. In this scenario, the design and implementation of a supervised machine learning system to predict and quantify cancer progression or response conditions by introducing a novel feature set that models the underlying clinical context is described. Performance results in 100 clinical cases (corresponding to 200 whole body PET-CT scans) in comparing expert-based visual analysis and classifier decision making show up to 70% accuracy within a completely automatic pipeline and 90% accuracy when providing the system with expert-guided PET tumor segmentation masks. |
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| Notes |
HuPBA;MILAB |
Approved |
no |
| Call Number |
Admin @ si @ SED2014 |
Serial |
2606 |
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| Author |
Michal Drozdzal; Santiago Segui; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria |
| Title |
Motility bar: a new tool for motility analysis of endoluminal videos |
Type |
Journal Article |
| Year |
2015 |
Publication |
Computers in Biology and Medicine |
Abbreviated Journal |
CBM |
| Volume |
65 |
Issue |
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Pages |
320-330 |
| Keywords |
Small intestine; Motility; WCE; Computer vision; Image classification |
| Abstract |
Wireless Capsule Endoscopy (WCE) provides a new perspective of the small intestine, since it enables, for the first time, visualization of the entire organ. However, the long visual video analysis time, due to the large number of data in a single WCE study, was an important factor impeding the widespread use of the capsule as a tool for intestinal abnormalities detection. Therefore, the introduction of WCE triggered a new field for the application of computational methods, and in particular, of computer vision. In this paper, we follow the computational approach and come up with a new perspective on the small intestine motility problem. Our approach consists of three steps: first, we review a tool for the visualization of the motility information contained in WCE video; second, we propose algorithms for the characterization of two motility building-blocks: contraction detector and lumen size estimation; finally, we introduce an approach to detect segments of stable motility behavior. Our claims are supported by an evaluation performed with 10 WCE videos, suggesting that our methods ably capture the intestinal motility information. |
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| Notes |
MILAB;MV |
Approved |
no |
| Call Number |
Admin @ si @ DSR2015 |
Serial |
2635 |
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