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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| 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 |
| 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 |
| 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 |
| 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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
+39 045 802 7980
nome.cognome[at]uniud.it
angelo.pica@univr.it
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.
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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4° Year activated in the A.Y. 2008/2009
| Modules | Credits | TAF | SSD |
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5° Year activated in the A.Y. 2009/2010
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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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.
Medical image analysis (2008/2009)
Teaching code
4S01925
Teacher
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.
Location
VERONA
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
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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.
