Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Academic calendar

The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Academic year:
Definition of lesson periods
Period From To
Periodo zero Sep 19, 2005 Oct 10, 2005
1° Q - 2° anno e successivi Oct 3, 2005 Dec 2, 2005
1° Q - 1° Anno Oct 17, 2005 Dec 2, 2005
2° Q Jan 8, 2006 Mar 9, 2006
3° Q Apr 3, 2006 Jun 9, 2006
Exam sessions
Session From To
Exam period 0 Oct 17, 2005 Oct 21, 2005
Exam Session I Dec 12, 2005 Dec 23, 2005
Exam Session II Mar 20, 2006 Mar 31, 2006
Summer term Jun 19, 2006 Jul 28, 2006
Autumn term Sep 4, 2006 Sep 29, 2006
Degree sessions
Session From To
Extra term Dec 14, 2005 Dec 14, 2005
Winter term Mar 15, 2006 Mar 15, 2006
Summer term Jul 19, 2006 Jul 19, 2006
Autumn term Sep 13, 2006 Sep 13, 2006
Holidays
Period From To
All Saints Day Holiday Nov 1, 2005 Nov 1, 2005
Immaculate Conception Dec 8, 2005 Dec 8, 2005
Christmas holidays Dec 23, 2005 Jan 7, 2006
Easter holidays Apr 13, 2006 Apr 19, 2006
Liberation Day Apr 25, 2006 Apr 25, 2006
Labour Day holiday May 1, 2006 May 1, 2006
Saint's Day Holiday May 21, 2006 May 21, 2006
Day of the Republic Jun 2, 2006 Jun 2, 2006
Summer holidays Jul 31, 2006 Aug 31, 2006

Exam calendar

Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff

B C D F G M O P Q S

Belussi Alberto

alberto.belussi@univr.it +39 045 802 7980

Bonacina Maria Paola

mariapaola.bonacina@univr.it +39 045 802 7046

Caliari Marco

marco.caliari@univr.it +39 045 802 7904

Cristani Matteo

matteo.cristani@univr.it 045 802 7983

Cristani Marco

marco.cristani@univr.it +39 045 802 7841

De Marchi Stefano

stefano.demarchi@univr.it 045 8027978

Fiorini Paolo

paolo.fiorini@univr.it 045 802 7963

Fusiello Andrea

nome.cognome[at]uniud.it

Giachetti Andrea

andrea.giachetti@univr.it +39 045 8027998

Manca Vincenzo

vincenzo.manca@univr.it 045 802 7981

Mariotto Gino

gino.mariotto@univr.it +39 045 8027031

Mastroeni Isabella

isabella.mastroeni@univr.it +39 045 802 7089

Monti Francesca

francesca.monti@univr.it 045 802 7910

Morato Laura Maria

laura.morato@univr.it 045 802 7904

Murino Vittorio

vittorio.murino@univr.it 045 802 7996

Oliboni Barbara

barbara.oliboni@univr.it +39 045 802 7077

Pica Angelo

angelo.pica@univr.it

Posenato Roberto

roberto.posenato@univr.it +39 045 802 7967

Quaglia Davide

davide.quaglia@univr.it +39 045 802 7811

Segala Roberto

roberto.segala@univr.it 045 802 7997

Study Plan

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University. Please select your Study Plan based on your enrolment year.

ModulesCreditsTAFSSD
ModulesCreditsTAFSSD
ModulesCreditsTAFSSD
ModulesCreditsTAFSSD
Un insegnamento a scelta tra le seguenti discipline fisiche affini

1° Year

ModulesCreditsTAFSSD

2° Year

ModulesCreditsTAFSSD

3° Year

ModulesCreditsTAFSSD

4° Year

ModulesCreditsTAFSSD
Un insegnamento a scelta tra le seguenti discipline fisiche affini
Modules Credits TAF SSD
Between the years: 4°- 5°Sette insegnamenti a scelta tra le seguenti discipline informatiche caratterizzanti
Between the years: 4°- 5°Un insegnamento nell'ambito affine Interdisciplinarità e applicazioni
5
C
ING-INF/04
5
C
ING-INF/04

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S01925

Credits

5

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Period

3° Q dal Apr 20, 2009 al Jun 19, 2009.

Learning outcomes

The aim of this course is to introduce some image processing and visualization techniques not studied in the other courses and mainly applied to the medical field.
In detail, modalities to acquire digital diagnostic images will be analyzed as well as protocol to store and transmit the data.
Algorithms to process 2D and 3D images will be then described and practical applications will be performed using Matlab.

Program

1. Digital images and diagnostic imaging.

Goal: a review of image processing and an overview on images in hospitals.
-Digital images and related processing.
-Diagnostic imaging modalities: CT, MRI, US, PET, ecc.
-DICOM: image communication and archive in medicine
-Overview of medical image applications: Computer Aided Diagnosis, surgical planning, simulation
- Volume data visualization, Surface and Volume rendering techniques

2. 3D data segmentation and visualization.

Goal: Describing the most used 3D-4D recosntruction and visualization used in the medical practice
-Thresholding, region growing, mathematical morphology
-Methods based on clustering in color space, Graph cuts, Watershed, MRFs
-"Snakes" and other 2D/3D deformable models
- Model based approaches
- Region/volume processing, feature extraction, distance functions, curve skeletons

3. Image registration.

Goal: Introducing methods and applications of 2D/3D image registration
- Image based registration: rigid/nonrigid transforms, difference measures, interpolation methods, optimization approaches
- Point based registration: ICP, robust methods, related problems

4. Motion analysis

Goal: Introducing the computer vision techniques used to recover motion from image sequences.
- Motion field and optical flow
- Optical flow algorithms: block matching, Lucas-Kanade

5. Texture analysis

Goal: Introducing texture analysis and methods to extract features and characterize tissues appearance in diagnostic images
-Texture analysis basics
-Texture features: Gray Level Co-Occurrence Matrices. Run Length Matrices, Wavelets
-Supervised classification

Examination Methods

Written test and project assignment.

Type D and Type F activities

Academic year:

Modules not yet included

Career prospects


Module/Programme news

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.

Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.