Workshop
The challenge workshop was organized on the last day of MICCAI 2014,
Thursday 18 September 2014. The workshop included a lecture by Dr.
Marina Boccardi, presentations by the participating research groups, as
well as the announcement of the results.
Proceedings
The proceedings can be downloaded here.
Results
The results including the presentations and papers of the teams can
be found on the results page.
Awards
Awards were given to the authors of the three algorithms with the
best accuracies. The awards were sponsored by Quantib and
Biomediq.
|
The first prize was awarded
to
Lauge Sørensen, Akshay Pai, Cecilie Anker, Ioana Balas, Martin
Lillholm, Christian Igel and Mads Nielsen
Dementia diagnosis using MRI cortical thickness, shape, texture,
and volumetry (Soerensen-equal). |
|
The second prize was awarded to
Christian Wachinger, Kayhan Batmanghelich, Polina Golland and Martin
Reuter
BrainPrint in the Computer-Aided Diagnosis of Alzheimer's Disease
(Wachinger-enetNorm). |
|
The third prize was awarded to
Christian Ledig, Ricardo Guerrero, Tong Tong, Katherine Gray,
Alexander Schmidt-Richberg, Antonios Makropoulos, Rolf A. Heckemann and
Daniel Rueckert
Alzheimer’s disease state classification using structural
volumetry, cortical thickness and intensity features
(Ledig-ALL). |
Program
08.00-08.15 |
Opening by Prof. Wiro
Niessen |
08.15-09.00 |
Guest lecture by Dr. Marina
Boccardi (IRCCS San Giovanni di Dio - Fatebenefratelli,
Italy) Structural features for diagnosis
and tracking of Alzheimer's disease |
09.00-09.15 |
K Franke, C Gaser (Structural Brain
Mapping Group, Departments of Neurology & Psychiatry, Jena
University Hospital, Germany) Dementia classification based on
brain age estimation |
09.15-09.30 |
C Ledig, R Guerrero, T Tong, K Gray,
A Schmidt-Richberg, A Makropoulos, RA Heckemann, D Rueckert (Department
of Computing, Imperial College London, UK) Alzheimer’s disease
state classification using structural volumetry, cortical thickness and
intensity features |
09.30-09.35 |
Preview of challenge
results |
09.35-10.00 |
Poster Session (location: Poster
Tent)
- A Abdulkadir, J Peter, T Brox, O Ronneberger, S Kloeppel
(Department of Psychiatry and Psychotherapy, University Medical Centre
Freiburg, Germany) Voxel-based multi-class classification of AD,
MCI, and elderly controls. Blind evaluation on an independent test
set
- N Amoroso, R Errico, R Bellotti (National Institute of
Nuclear Physics, Branch of Bari, Italy) PRISMA-CAD: Fully
automated method for Computer-Aided Diagnosis of Dementia based on
structural MRI data
- D Cárdenas-Peña, A Álvarez-Meza, G Castellanos-Dominguez
(Signal Processing and Recognition Group, Universidad Nacional de
Colombia, Colombia) CADDementia based on structural MRI using
supervised kernel-based representations
- CV Dolph, MD Samad, KM Iftekharuddin (Vision Lab, Old
Dominion University, VA, USA) Classi?cation of Alzheimer's
disease using structural MRI
- SF Eskildsen, P Coupé, V Fonov, DL Collins (Center of
Functionally Integrative Neuroscience, Aarhus University,
Denmark) Detecting Alzheimer’s disease by morphological MRI
using hippocampal grading and cortical thickness
- E Moradi, C Gaser, H Huttunen, J Tohka (Department of Signal
Processing, Tampere University of Technology, Finland) MRI based
dementia classification using semi-supervised learning and domain
adaptation
- A Sarica, G Di Fatta, G Smith, M Cannataro, D Saddy
(Department of Medical and Surgical Sciences, Magna Graecia University
of Catanzaro, Italy) Advanced feature selection in multinominal
dementia classification from structural MRI data
- F Sensi, L Rei, G Gemme, P Bosco, N Amoroso, A Chincarini
(National Institute of Nuclear Physics, Branch of Genoa,
Italy) Global Disease Index, a novel tool for MTL atrophy
assessment
- GM Smith, ZV Stoyanov, DV Greetham, P Grindrod, JD Saddy
(School of Systems Engineering, University of Reading,
UK) Towards the Computer-Aided Diagnosis of Dementia based on
the geometric and network connectivity of structural MRI
data
- S Tangaro, P Inglese, R Maglietta, A Tateo (National
Institute of Nuclear Physics, Branch of Bari, Italy) MIND-BA:
Fully automated method for Computer-Aided Diagnosis of Dementia based on
structural MRI data
|
10.00-10.30 |
Coffee break + Poster
Session |
10.30-10.45 |
A Routier, P Gori, AB Graciano
Fouquier, S Lecomte, O Colliot, S Durrleman (Sorbonne Universités, UPMC
Université Paris, France) Evaluation of morphometric descriptors
of deep brain structures for the automatic classification of patients
with Alzheimer's disease, mild cognitive impairment and elderly
controls |
10.45-11.00 |
L Sørensen, A Pai, C Anker, I Balas, M
Lillholm, C Igel, M Nielsen (Department of Computer Science, University
of Copenhagen, Denmark) Dementia diagnosis using MRI cortical
thickness, shape, texture, and volumetry |
11.00-11.15 |
C Wachinger, K Batmanghelich, P
Golland, M Reuter (Computer Science and Artificial Intelligence Lab,
MIT, MA, USA) BrainPrint in the Computer-Aided Diagnosis of
Alzheimer's disease |
11.15-12.00 |
Presentation of the challenge results,
including award ceremony
|
|
|