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.
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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).
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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).
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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).
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Program
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08.00-08.15 |
Opening by Prof. Wiro Niessen |
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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
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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 |
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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
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09.30-09.35 |
Preview of challenge results |
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09.35-10.00 |
Poster Session (location: Poster Tent)
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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
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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
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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
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CV Dolph, MD Samad, KM Iftekharuddin (Vision Lab, Old Dominion University, VA, USA) Classi?cation of Alzheimer's disease using structural MRI
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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
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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
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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
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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
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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
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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
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10.00-10.30 |
Coffee break + Poster Session |
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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 |
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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 |
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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 |
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11.15-12.00 |
Presentation of the challenge results, including award ceremony
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