El Dr. Juan José Villanueva reconegut amb el premi ‘Amics dels amics’ de l’Associació Amics de la UAB

L’Associació Amics de la UAB ha concedit el premi ‘Amic dels Amics’ al Dr. Juan José Villanueva, fundador del Centre de Visió per Computador. Aquest premi, destinat a persones que han tingut trajectòries professionals i personals destacades en relació a la Universitat Autònoma de Barcelona, ret homenatge al Dr. Villanueva per la seva tasca com a fundador del Centre de Visió per Computador i per la seva aportació a la recerca.

El premi s’ha lliurat durant de la setzena edició de la Festa Anual de l’Associació d’Amics de la UAB, una celebració que commemora a persones i col·lectius vinculats amb la UAB i que, enguany, s’ha dut a terme el dia 22 de novembre a l’Aula Magna de Casa Convalescència.

L’Associació d’Amics de la UAB és una entitat formada per antics alumnes, professors, membres del PAS, proveïdors i amics de la Universitat Autònoma de Barcelona que té l’objectiu de promoure una relació activa i oberta entre la Universitat i la societat. Juntament amb el Dr. Villanueva, els altres guardonats d’aquesta categoria han estat Carme Trilla i Bellart, especialista en habitatge, i Xavier Muñoz i Pujol, antic membre del Consell Social i primer president de l’Associació Amics de la UAB. També s’ha lliurat el premi “Amics de les Biblioteques” a Eduard Rojo, Francisco Rico i Jesús Moncada i el premi “Col·lectiu UAB” al Servei d’Ocupabilitat de la UAB.

CVC at Smart City Expo 2018

CVC was present at this year’s Smart City Expo presenting its technology in Computer Vision to a high number of enterprises and companies who visited us in our stand. The Smart City Expo is a great opportunity to meet game changes all over the world, who gather in Barcelona for one week in order to exchange ideas and business opportunities. A day after the Expo, we had a visit of more than 50 delegates from over 10 countries invited by ACCIO in order to know our Research Center and explore possible sinergies and collaborations.

Sesión inagural del proyecto ExperimentAI

El 7 de noviembre se inauguró el proyecto ExperimentAI, una iniciativa promovida y coordinada por el Centro de Visión por Computador y financiado por la Fundación Española para la Ciencia y la Tecnología – Ministerio de Ciencia, Innovación y Universidades, que acerca la Inteligencia Artificial a la sociedad.

La primera sesión de ExperimentAI arrancó con un discurso inaugural de la mano de Joana Barbany, Directora General de Sociedad Digital de la Generalitat de Cataluña y regidora de Sant Cugat del Vallès. Seguidamente, el Dr. Fernando Vilariño, Director Asociado del CVC, y Alexandra Canet, responsable de comunicación del CVC y organizadora del proyecto, se encargaron de presentar el proyecto y explicar el contenido de cada una de las siguientes sesiones. 

A continuación, se inició un debate abierto sobre la presencia de la Inteligencia Artificial y la Visión por Computador en nuestro día a día, así como sus usos y sus aplicaciones. El panel estuvo integrado por el Dr. Fernando Vilariño y Alexandra Canet, los estudiantes de doctorado del CVC Laura López y Marc Massana y Sigrid Vila, Bruno Moya y Oriol Baeza, tres estudiantes de Bachillerato que estuvieron recientemente de estancia en el CVC como parte de sus proyectos de investigación del instituto. Además, todos los miembros del público pudieron contribuir y detectar los diferentes retos que esta tecnología tiene que hacer frente en sus distintas áreas de experiencia.

ExperimentAI es una actividad recurrente que tiene lugar de forma semanal des del 7 de noviembre de 2018 hasta el 20 de febrero de 2019 en el Library Living Lab. Cada miércoles, se presentan nuevas experiencias, prototipos y actividades para entender el impacto de la Inteligencia Artificial y la Visión por Computador en el futuro y el presente de nuestra sociedad.

Más información, calendario de actividades y registro a las sesiones aquí: ExperimentAI

 

GIANA Sub-challenge on gastrointestinal image analysis awards, MICCAI 2018 ENDOVIS Challenge

GIANA 2018 Sub-challenge on Gastrointestinal Image Analysis took part on September 16th during MICCAI 2018 conference, held in Granada, Spain. GIANA sub-challenge was part of the MICCAI 2018 EndoVis challenge, which comprised 4 different categories this year: Gastrointestinal Image ANAlysis, Surgical Workflow Analysis in the SensorOR, Robotic Scene Segmentation and CATARACTS.

GIANA 2018 Sub-challenge was jointly organized by 4 different institutions from Spain and France: Computer Vision Center/Universitat Autònoma de Barcelona (CVC-UAB), ETIS laboratory at Ecole nationale supérieure de l’Electronique et de ses Applications (ETIS-ENSEA), Hospital Clinic de Barcelona (HCB) and Hôpital Saint-Antoine AP-HP (HSA). Main organizers of the sub-challenge were Jorge Bernal from CVC-UAB and Prof. Aymeric Histace from ETIS-ENSEA.

GIANA Sub-challenge is the continuation of previous challenges (ISBI 2015, MICCAI 2015 and MICCAI 2017) on gastrointestinal image analysis. This year the sub-challenge consisted of three main different tasks: polyp detection and localization in videocolonoscopy, polyp segmentation in colonoscopy images and lesion detection and localization in wireless capsule endoscopy images.

Regarding this year’s challenge we would like to highlight two important novelties. First, we completely redefined the tasks associated to wireless capsule endoscopy images and we proposed participants to tackle lesion detection (including lesion classification) and localization. To efficiently train and test the different methodologies, a completely new database for wireless capsule endoscopy lesions (CAD-CAP dataset) has been created. This dataset contains over 3500 images comprising the following categories: normal, inflammatory lesions and vascular lesions.  We also offered participants on colonoscopy-related tasks the possibility of having a first glimpse of their performance by using the online evaluation tool that has been developed at CVC-UAB.

Teams had access to annotated training data from May 23rd and testing data was released on July 20th. Final submission data of the results was September 3rd. All information related to the challenge was released in GIANA official website https://giana.grand-challenge.org though data was only accessible after registering on the website and acceptance of the rules for participation.

Awards for the challenge were sponsored by Société Française d’Endoscopie Digestive (SFED), which provided with 12 different prizes for a total of 2000 €. The following categories were defined: 1) Polyp Detection, 2) Polyp Localization, 3) Polyp Segmentation (SD images), 4) Polyp Segmentation (HD images), 5) Wireless Capsule Endoscopy Lesion Detection, 6) Wireless Capsule Endoscopy Lesion Localization,7) Overall Participation award, which considered only the teams that took part in all 3 previous categories and 8) Special GIANA award for meritorious contribution.

Winners went as follows: 

In the Polyp Detection category, the first prize (250 €) was awarded to the KM team composed by Satoshi Kondo.

In the Polyp Localization category, the first prize (250 €) was awarded to the ODS AI team composed by Vladimir Iglovikov and Anton Dobreenkii.

In the Polyp Segmentation (SD images) category, the first prize (250 €) was for the Penguin AI team, composed by Hanbo Chen, He Zheng, Yang Li, Jianhua Yao and Junzhou Huang.

In the Polyp Segmentation (HD images) category, the first prize (250 €) was awarded to the OUS team composed by Hemin Ali Qadir, Younghak Shin and Ilangko Balasingham.

In the Wireless Capsule Endoscopy Lesion Detection category, the first prize (250€) was for the KM team, composed by Satoshi Kondo.

In the Wireless Capsule Endoscopy Lesion Localization category, the first prize (250€) was awarded to the KM team composed by Satoshi Kondo.

With respect to Overall Participation award, there was a tie for the first prize (125 €) which was awarded to both KM (composed by Satoshi Kondo) and Penguin AI (composed by Hanbo Chen, He Zheng, Yang Li, Jianhua Yao and Junzhou Huang) teams.

The second prize (100 €) in the Overall Participation Award category was awarded to FanVoyage team composed by Ahmed Mohammed Kedir, Mohib Ullah, Sule Yildirim, Ivar Farup Marius Pedersen and Øistein Hovde.

ODS AI team, composed by Vladimir Iglovikov and Anton Dobreenkii, was the winner of the third prize (50 €) in Overall Participation Award category.

Finally, FanVoyage team, composed by Ahmed Mohammed Kedir, Mohib Ullah, Sule Yildirim, Ivar Farup Marius Pedersen and Øistein Hovde, won the 1st prize (100 €) in Special GIANA award category.

We want to acknowledge the quality of the contributions from all the teams. Slides presented in the challenge detailing the results, along with details of each of the methodology, are already published in GIANA website. Additionally, we aim to publish journal publications summarizing the results of the challenge. We also want to deeply thank the main organizers of EndoVis challenge (Stefanie Speidel, Lena Maier-Hein and Danail Stoyanov) for their help and support during challenge preparation. We look forward to organizing future iterations of this sub-challenge in the following years.