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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |


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Title |
Depth of Valleys Accumulation Algorithm for Object Detection |
Type |
Conference Article |
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Year |
2011 |
Publication  |
14th Congrès Català en Intel·ligencia Artificial |
Abbreviated Journal |
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Volume |
1 |
Issue |
1 |
Pages |
71-80 |
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Keywords |
Object Recognition, Object Region Identification, Image Analysis, Image Processing |
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Abstract |
This work aims at detecting in which regions the objects in the image are by using information about the intensity of valleys, which appear to surround ob- jects in images where the source of light is in the line of direction than the camera. We present our depth of valleys accumulation method, which consists of two stages: first, the definition of the depth of valleys image which combines the output of a ridges and valleys detector with the morphological gradient to measure how deep is a point inside a valley and second, an algorithm that denotes points of the image as interior to objects those which are inside complete or incomplete boundaries in the depth of valleys image. To evaluate the performance of our method we have tested it on several application domains. Our results on object region identification are promising, specially in the field of polyp detection in colonoscopy videos, and we also show its applicability in different areas. |
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Lleida |
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978-1-60750-841-0 |
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800 |
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Conference |
CCIA |
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Notes |
MV |
Approved |
no |
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Call Number |
IAM @ iam @ BSV2011b |
Serial |
1699 |
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Permanent link to this record |
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Author |
Carles Sanchez; Debora Gil; Jorge Bernal; F. Javier Sanchez; Marta Diez-Ferrer; Antoni Rosell |

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Title |
Navigation Path Retrieval from Videobronchoscopy using Bronchial Branches |
Type |
Conference Article |
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Year |
2016 |
Publication  |
19th International Conference on Medical Image Computing and Computer Assisted Intervention Workshops |
Abbreviated Journal |
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Volume |
9401 |
Issue |
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Pages |
62-70 |
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Keywords |
Bronchoscopy navigation; Lumen center; Brochial branches; Navigation path; Videobronchoscopy |
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Abstract |
Bronchoscopy biopsy can be used to diagnose lung cancer without risking complications of other interventions like transthoracic needle aspiration. During bronchoscopy, the clinician has to navigate through the bronchial tree to the target lesion. A main drawback is the difficulty to check whether the exploration is following the correct path. The usual guidance using fluoroscopy implies repeated radiation of the clinician, while alternative systems (like electromagnetic navigation) require specific equipment that increases intervention costs. We propose to compute the navigated path using anatomical landmarks extracted from the sole analysis of videobronchoscopy images. Such landmarks allow matching the current exploration to the path previously planned on a CT to indicate clinician whether the planning is being correctly followed or not. We present a feasibility study of our landmark based CT-video matching using bronchoscopic videos simulated on a virtual bronchoscopy interactive interface. |
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Quebec; Canada; September 2016 |
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MICCAI-W |
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IAM; MV; 600.060; 600.075 |
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no |
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Call Number |
Admin @ si @ SGB2016 |
Serial |
2885 |
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Author |
Jorge Bernal; Debora Gil; Carles Sanchez; F. Javier Sanchez |


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Title |
Discarding Non Informative Regions for Efficient Colonoscopy Image Analysis |
Type |
Conference Article |
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Year |
2014 |
Publication  |
1st MICCAI Workshop on Computer-Assisted and Robotic Endoscopy |
Abbreviated Journal |
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Volume |
8899 |
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Pages |
1-10 |
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Keywords |
Image Segmentation; Polyps, Colonoscopy; Valley Information; Energy Maps |
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Abstract |
In this paper we present a novel polyp region segmentation method for colonoscopy videos. Our method uses valley information associated to polyp boundaries in order to provide an initial segmentation. This first segmentation is refined to eliminate boundary discontinuities caused by image artifacts or other elements of the scene. Experimental results over a publicly annotated database show that our method outperforms both general and specific segmentation methods by providing more accurate regions rich in polyp content. We also prove how image preprocessing is needed to improve final polyp region segmentation. |
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Boston; USA; September 2014 |
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Springer International Publishing |
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0302-9743 |
ISBN |
978-3-319-13409-3 |
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CARE |
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Notes |
MV; IAM; 600.044; 600.047; 600.060; 600.075 |
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no |
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Call Number |
Admin @ si @ BGS2014b |
Serial |
2503 |
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Author |
Jorge Bernal; Fernando Vilariño; F. Javier Sanchez; M. Arnold; Anarta Ghosh; Gerard Lacey |


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Title |
Experts vs Novices: Applying Eye-tracking Methodologies in Colonoscopy Video Screening for Polyp Search |
Type |
Conference Article |
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Year |
2014 |
Publication  |
2014 Symposium on Eye Tracking Research and Applications |
Abbreviated Journal |
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Pages |
223-226 |
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Abstract |
We present in this paper a novel study aiming at identifying the differences in visual search patterns between physicians of diverse levels of expertise during the screening of colonoscopy videos. Physicians were clustered into two groups -experts and novices- according to the number of procedures performed, and fixations were captured by an eye-tracker device during the task of polyp search in different video sequences. These fixations were integrated into heat maps, one for each cluster. The obtained maps were validated over a ground truth consisting of a mask of the polyp, and the comparison between experts and novices was performed by using metrics such as reaction time, dwelling time and energy concentration ratio. Experimental results show a statistically significant difference between experts and novices, and the obtained maps show to be a useful tool for the characterisation of the behaviour of each group. |
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USA; March 2014 |
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978-1-4503-2751-0 |
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ETRA |
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Notes |
MV; 600.047; 600.060 |
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no |
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Call Number |
Admin @ si @ BVS2014 |
Serial |
2448 |
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Author |
Quentin Angermann; Jorge Bernal; Cristina Sanchez-Montes; Maroua Hammami; Gloria Fernandez-Esparrach; Xavier Dray; Olivier Romain; F. Javier Sanchez; Aymeric Histace |

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Title |
Clinical Usability Quantification Of a Real-Time Polyp Detection Method In Videocolonoscopy |
Type |
Conference Article |
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Year |
2017 |
Publication  |
25th United European Gastroenterology Week |
Abbreviated Journal |
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Address |
Barcelona, October 2017 |
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ESGE |
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Notes |
MV; no menciona |
Approved |
no |
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Call Number |
Admin @ si @ ABS2017c |
Serial |
2978 |
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Permanent link to this record |
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Author |
Cristina Sanchez-Montes; F. Javier Sanchez; Cristina Rodriguez de Miguel; Henry Cordova; Jorge Bernal; Maria Lopez-Ceron; Josep Llach; Gloria Fernandez-Esparrach |

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Title |
Histological Prediction Of Colonic Polyps By Computer Vision. Preliminary Results |
Type |
Conference Article |
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Year |
2017 |
Publication  |
25th United European Gastroenterology Week |
Abbreviated Journal |
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Keywords |
polyps; histology; computer vision |
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Abstract |
during colonoscopy, clinicians perform visual inspection of the polyps to predict histology. Kudo’s pit pattern classification is one of the most commonly used for optical diagnosis. These surface patterns present a contrast with respect to their neighboring regions and they can be considered as bright regions in the image that can attract the attention of computational methods. |
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Barcelona; October 2017 |
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ESGE |
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Notes |
MV; no menciona |
Approved |
no |
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Call Number |
Admin @ si @ SSR2017 |
Serial |
2979 |
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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |

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Title |
Reduction of Pattern Search Area in Colonoscopy Images by Merging Non-Informative Regions |
Type |
Conference Article |
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Year |
2010 |
Publication  |
28th Congreso Anual de la Sociedad Española de Ingeniería Biomédica |
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One of the first usual steps in pattern recognition schemas is image segmentation, in order to reduce the dimensionality of the problem and manage smaller quantity of data. In our case as we are pursuing real-time colon cancer polyp detection, this step is crucial. In this paper we present a non-informative region estimation algorithm that will let us discard some parts of the image where we will not expect to find colon cancer polyps. The performance of our approach will be measured in terms of both non-informative areas elimination and polyps’ areas preserving. The results obtained show the importance of having correct non- informative region estimation in order to fasten the whole recognition process. |
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Madrid (Spain) |
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800 |
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CASEIB |
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Notes |
MV |
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no |
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Call Number |
Admin @ si @ BSV2010 |
Serial |
1469 |
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Permanent link to this record |
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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |


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Title |
Current Challenges on Polyp Detection in Colonoscopy Videos: From Region Segmentation to Region Classification. a Pattern Recognition-based Approach.ased Approach |
Type |
Conference Article |
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Year |
2011 |
Publication  |
2nd International Workshop on Medical Image Analysis and Descriptionfor Diagnosis Systems |
Abbreviated Journal |
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Pages |
62-71 |
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Keywords |
Medical Imaging, Colonoscopy, Pattern Recognition, Segmentation, Polyp Detection, Region Description, Machine Learning, Real-time. |
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Abstract |
In this paper we present our approach on real-time polyp detection in colonoscopy videos. Our method consists of three stages: Image Segmentation, Region Description and Image Classification. Taking into account the constraints of our project, we introduce our segmentation system that is based on the model of appearance of the polyp that we have defined after observing real videos from colonoscopy processes. The output of this stage will ideally be a low number of regions of which one of them should cover the whole polyp region (if there is one in the image). This regions will be described in terms of features and, as a result of a machine learning schema, classified based on the values that they have for the several features that we will use on their description. Although we are still on the early stages of the project, we present some preliminary segmentation results that indicates that we are going in a good direction. |
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Rome, Italy |
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SciTePress |
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Djemal, Khalifa |
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800 |
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MIAD |
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Notes |
MV; |
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no |
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Call Number |
IAM @ iam @ BSV2011a |
Serial |
1695 |
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Author |
David Vazquez; Jorge Bernal; F. Javier Sanchez; Gloria Fernandez-Esparrach; Antonio Lopez; Adriana Romero; Michal Drozdzal; Aaron Courville |

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Title |
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images |
Type |
Conference Article |
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Year |
2017 |
Publication  |
31st International Congress and Exhibition on Computer Assisted Radiology and Surgery |
Abbreviated Journal |
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Keywords |
Deep Learning; Medical Imaging |
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Abstract |
Colorectal cancer (CRC) is the third cause of cancer death worldwide. Currently, the standard approach to reduce CRC-related mortality is to perform regular screening in search for polyps and colonoscopy is the screening tool of choice. The main limitations of this screening procedure are polyp miss-rate and inability to perform visual assessment of polyp malignancy. These drawbacks can be reduced by designing Decision Support Systems (DSS) aiming to help clinicians in the different stages of the procedure by providing endoluminal scene segmentation. Thus, in this paper, we introduce an extended benchmark of colonoscopy image, with the hope of establishing a new strong benchmark for colonoscopy image analysis research. We provide new baselines on this dataset by training standard fully convolutional networks (FCN) for semantic segmentation and significantly outperforming, without any further post-processing, prior results in endoluminal scene segmentation. |
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CARS |
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Notes |
ADAS; MV; 600.075; 600.085; 600.076; 601.281; 600.118 |
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no |
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Call Number |
ADAS @ adas @ VBS2017a |
Serial |
2880 |
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Author |
Quentin Angermann; Jorge Bernal; Cristina Sanchez Montes; Maroua Hammami; Gloria Fernandez Esparrach; Xavier Dray; Olivier Romain; F. Javier Sanchez; Aymeric Histace |

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Title |
Real-Time Polyp Detection in Colonoscopy Videos: A Preliminary Study For Adapting Still Frame-based Methodology To Video Sequences Analysis |
Type |
Conference Article |
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Year |
2017 |
Publication  |
31st International Congress and Exhibition on Computer Assisted Radiology and Surgery |
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Barcelona; Spain; June 2017 |
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MV; no menciona |
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no |
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Admin @ si @ ABS2017 |
Serial |
2947 |
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Author |
Jorge Bernal; Aymeric Histace; Marc Masana; Quentin Angermann; Cristina Sanchez-Montes; Cristina Rodriguez de Miguel; Maroua Hammami; Ana Garcia-Rodriguez; Henry Cordova; Olivier Romain; Gloria Fernandez-Esparrach; Xavier Dray; F. Javier Sanchez |

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Title |
Polyp Detection Benchmark in Colonoscopy Videos using GTCreator: A Novel Fully Configurable Tool for Easy and Fast Annotation of Image Databases |
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Conference Article |
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2018 |
Publication  |
32nd International Congress and Exhibition on Computer Assisted Radiology & Surgery |
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ISE; MV; 600.119 |
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Admin @ si @ BHM2018 |
Serial |
3089 |
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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |


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Title |
Impact of Image Preprocessing Methods on Polyp Localization in Colonoscopy Frames |
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Conference Article |
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2013 |
Publication  |
35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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7350 - 7354 |
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In this paper we present our image preprocessing methods as a key part of our automatic polyp localization scheme. These methods are used to assess the impact of different endoluminal scene elements when characterizing polyps. More precisely we tackle the influence of specular highlights, blood vessels and black mask surrounding the scene. Experimental results prove that the appropriate handling of these elements leads to a great improvement in polyp localization results. |
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Osaka; Japan; July 2013 |
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1557-170X |
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800 |
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EMBC |
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MV; 600.047; 600.060 |
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no |
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Admin @ si @ BSV2013 |
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2286 |
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Author |
Carles Sanchez; Debora Gil; R. Tazi; Jorge Bernal; Y. Ruiz; L. Planas; F. Javier Sanchez; Antoni Rosell |

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Title |
Quasi-real time digital assessment of Central Airway Obstruction |
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Conference Article |
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2015 |
Publication  |
3rd European congress for bronchology and interventional pulmonology ECBIP2015 |
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Barcelona; Spain; April 2015 |
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ECBIP |
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IAM; MV; 600.075 |
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no |
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Call Number |
SGT2015 |
Serial |
2612 |
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Author |
Jorge Bernal; Joan M. Nuñez; F. Javier Sanchez; Fernando Vilariño |


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Title |
Polyp Segmentation Method in Colonoscopy Videos by means of MSA-DOVA Energy Maps Calculation |
Type |
Conference Article |
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Year |
2014 |
Publication  |
3rd MICCAI Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging |
Abbreviated Journal |
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Volume |
8680 |
Issue |
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Pages |
41-49 |
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Keywords |
Image segmentation; Polyps; Colonoscopy; Valley information; Energy maps |
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Abstract |
In this paper we present a novel polyp region segmentation method for colonoscopy videos. Our method uses valley information associated to polyp boundaries in order to provide an initial segmentation. This first segmentation is refined to eliminate boundary discontinuities caused by image artifacts or other elements of the scene. Experimental results over a publicly annotated database show that our method outperforms both general and specific segmentation methods by providing more accurate regions rich in polyp content. We also prove how image preprocessing is needed to improve final polyp region segmentation. |
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Address |
Boston; USA; September 2014 |
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CLIP |
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Notes |
MV; 600.060; 600.044; 600.047 |
Approved |
no |
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Call Number |
Admin @ si @ BNS2014 |
Serial |
2502 |
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Permanent link to this record |
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Author |
F. Javier Sanchez; Jorge Bernal |


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Title |
Use of Software Tools for Real-time Monitoring of Learning Processes: Application to Compilers subject |
Type |
Conference Article |
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Year |
2018 |
Publication  |
4th International Conference of Higher Education Advances |
Abbreviated Journal |
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Pages |
1359-1366 |
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Keywords |
Monitoring; Evaluation tool; Gamification; Student motivation |
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Abstract |
The effective implementation of the Higher European Education Area has meant a change regarding the focus of the learning process, being now the student at its very center. This shift of focus requires a strong involvement and fluent communication between teachers and students to succeed. Considering the difficulties associated to motivate students to take a more active role in the learning process, we explore how the use of a software tool can help both actors to improve the learning experience. We present a tool that can help students to obtain instantaneous feedback with respect to their progress in the subject as well as providing teachers with useful information about the evolution of knowledge acquisition with respect to each of the subject areas. We compare the performance achieved by students in two academic years: results show an improvement in overall performance which, after observing graphs provided by our tool, can be associated to an increase in students interest in the subject. |
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Address |
Valencia; June 2018 |
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Notes |
MV; no proj |
Approved |
no |
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Call Number |
Admin @ si @ SaB2018 |
Serial |
3165 |
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Author |
Ana Maria Ares; Jorge Bernal; Maria Jesus Nozal; F. Javier Sanchez; Jose Bernal |


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Title |
Results of the use of Kahoot! gamification tool in a course of Chemistry |
Type |
Conference Article |
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Year |
2018 |
Publication  |
4th International Conference on Higher Education Advances |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
1215-1222 |
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Abstract |
The present study examines the use of Kahoot! as a gamification tool to explore mixed learning strategies. We analyze its use in two different groups of a theoretical subject of the third course of the Degree in Chemistry. An empirical-analytical methodology was used using Kahoot! in two different groups of students, with different frequencies. The academic results of these two group of students were compared between them and with those obtained in the previous course, in which Kahoot! was not employed, with the aim of measuring the evolution in the students´ knowledge. The results showed, in all cases, that the use of Kahoot! has led to a significant increase in the overall marks, and in the number of students who passed the subject. Moreover, some differences were also observed in students´ academic performance according to the group. Finally, it can be concluded that the use of a gamification tool (Kahoot!) in a university classroom had generally improved students´ learning and marks, and that this improvement is more prevalent in those students who have achieved a better Kahoot! performance. |
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Address |
Valencia; June 2018 |
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Notes |
MV; no proj |
Approved |
no |
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Call Number |
Admin @ si @ ABN2018 |
Serial |
3246 |
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Author |
Quentin Angermann; Jorge Bernal; Cristina Sanchez-Montes; Gloria Fernandez-Esparrach; Xavier Gray; Olivier Romain; F. Javier Sanchez; Aymeric Histace |

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Title |
Towards Real-Time Polyp Detection in Colonoscopy Videos: Adapting Still Frame-Based Methodologies for Video Sequences Analysis |
Type |
Conference Article |
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Year |
2017 |
Publication  |
4th International Workshop on Computer Assisted and Robotic Endoscopy |
Abbreviated Journal |
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Pages |
29-41 |
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Keywords |
Polyp detection; colonoscopy; real time; spatio temporal coherence |
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Abstract |
Colorectal cancer is the second cause of cancer death in United States: precursor lesions (polyps) detection is key for patient survival. Though colonoscopy is the gold standard screening tool, some polyps are still missed. Several computational systems have been proposed but none of them are used in the clinical room mainly due to computational constraints. Besides, most of them are built over still frame databases, decreasing their performance on video analysis due to the lack of output stability and not coping with associated variability on image quality and polyp appearance. We propose a strategy to adapt these methods to video analysis by adding a spatio-temporal stability module and studying a combination of features to capture polyp appearance variability. We validate our strategy, incorporated on a real-time detection method, on a public video database. Resulting method detects all
polyps under real time constraints, increasing its performance due to our
adaptation strategy. |
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Address |
Quebec; Canada; September 2017 |
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CARE |
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Notes |
MV; 600.096; 600.075 |
Approved |
no |
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Call Number |
Admin @ si @ ABS2017b |
Serial |
2977 |
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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |


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Title |
A Region Segmentation Method for Colonoscopy Images Using a Model of Polyp Appearance |
Type |
Conference Article |
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Year |
2011 |
Publication  |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
Issue |
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Pages |
134-143 |
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Keywords |
Colonoscopy, Polyp Detection, Region Merging, Region Segmentation. |
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Abstract |
This work aims at the segmentation of colonoscopy images into a minimum number of informative regions. Our method performs in a way such, if a polyp is present in the image, it will be exclusively and totally contained in a single region. This result can be used in later stages to classify regions as polyp-containing candidates. The output of the algorithm also defines which regions can be considered as non-informative. The algorithm starts with a high number of initial regions and merges them taking into account the model of polyp appearance obtained from available data. The results show that our segmentations of polyp regions are more accurate than state-of-the-art methods. |
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Address |
Las Palmas de Gran Canaria, June 2011 |
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SpringerLink |
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Vitrià, Jordi and Sanches, João and Hernández, Mario |
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Lecture Notes in Computer Science |
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LNCS |
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978-3-642-21256-7 |
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800 |
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IbPRIA |
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MV; |
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no |
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Call Number |
IAM @ iam @ BSV2011c |
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1696 |
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Author |
Carles Sanchez; Jorge Bernal; F. Javier Sanchez; Marta Diez; Antoni Rosell; Debora Gil |

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Title |
Towards On-line Quantification of Tracheal Stenosis from Videobronchoscopy |
Type |
Conference Article |
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Year |
2015 |
Publication  |
6th International Conference on Information Processing in Computer-Assisted Interventions IPCAI2015 |
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10 |
Issue |
6 |
Pages |
935-945 |
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PURPOSE:
Lack of objective measurement of tracheal obstruction degree has a negative impact on the chosen treatment prone to lead to unnecessary repeated explorations and other scanners. Accurate computation of tracheal stenosis in videobronchoscopy would constitute a breakthrough for this noninvasive technique and a reduction in operation cost for the public health service.
METHODS:
Stenosis calculation is based on the comparison of the region delimited by the lumen in an obstructed frame and the region delimited by the first visible ring in a healthy frame. We propose a parametric strategy for the extraction of lumen and tracheal ring regions based on models of their geometry and appearance that guide a deformable model. To ensure a systematic applicability, we present a statistical framework to choose optimal parametric values and a strategy to choose the frames that minimize the impact of scope optical distortion.
RESULTS:
Our method has been tested in 40 cases covering different stenosed tracheas. Experiments report a non- clinically relevant [Formula: see text] of discrepancy in the calculated stenotic area and a computational time allowing online implementation in the operating room.
CONCLUSIONS:
Our methodology allows reliable measurements of airway narrowing in the operating room. To fully assess its clinical impact, a prospective clinical trial should be done. |
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Barcelona; Spain; June 2015 |
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IPCAI |
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IAM; MV; 600.075 |
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no |
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Admin @ si @ SBS2015b |
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2613 |
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Author |
Jose Seabra; F. Javier Sanchez; Francesco Ciompi; Petia Radeva |


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Title |
Ultrasonographic Plaque Characterization using a Rayleigh Mixture Model |
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Conference Article |
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2010 |
Publication  |
7th IEEE International Symposium on Biomedical Imaging |
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1–4 |
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From Nano to Macro
A correct modelling of tissue morphology is determinant for the identification of vulnerable plaques. This paper aims at describing the plaque composition by means of a Rayleigh Mixture Model applied to ultrasonic data. The effectiveness of using a mixture of distributions is established through synthetic and real ultrasonic data samples. Furthermore, the proposed mixture model is used in a plaque classification problem in Intravascular Ultrasound (IVUS) images of coronary plaques. A classifier tested on a set of 67 in-vitro plaques, yields an overall accuracy of 86% and sensitivity of 92%, 94% and 82%, for fibrotic, calcified and lipidic tissues, respectively. These results strongly suggest that different plaques types can be distinguished by means of the coefficients and Rayleigh parameters of the mixture distribution. |
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Address |
Rotterdam (Netherlands) |
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1945-7928 |
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978-1-4244-4125-9 |
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ISBI |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ SSC2010 |
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1366 |
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Author |
Jorge Bernal; Fernando Vilariño; F. Javier Sanchez |



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Title |
Towards Intelligent Systems for Colonoscopy |
Type |
Book Chapter |
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Year |
2011 |
Publication  |
Colonoscopy |
Abbreviated Journal |
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1 |
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257-282 |
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In this chapter we present tools that can be used to build intelligent systems for colonoscopy.
The idea is, by using methods based on computer vision and artificial intelligence, add significant value to the colonoscopy procedure. Intelligent systems are being used to assist in other medical interventions |
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Intech |
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Editor |
Paul Miskovitz |
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978-953-307-568-6 |
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800 |
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MV; |
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no |
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Call Number |
IAM @ iam @ BVS2011 |
Serial |
1697 |
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Author |
Jorge Bernal; F. Javier Sanchez; Cristina Rodriguez; Gloria Fernandez-Esparrach |


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Title |
Bulding up the future of colonoscopy: A synergy between clinicians and computer scientists |
Type |
Book Chapter |
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Year |
2015 |
Publication  |
Colonoscopy and Colorectal Cancer |
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