[visionlist] Master 2 internship position: medical imaging/machine learning at university of Poitiers, France
Olfa Ben Ahmed
olfa.ben.ahmed at univ-poitiers.fr
Tue Dec 11 13:43:52 -05 2018
The university of Poitiers and the XLIM institute are offering an
internship position of 6 months in medical imaging and machine learning
for Alzheimer's disease diagnosis.
*Title :* Classification of Alzheimer’s disease subjects using
Alzheimer’s disease (AD) is the most comment form of dementia.
Neuroimaging data is an integral part of the clinical assessment
providing a way for clinicians to detect brain abnormalities for AD
diagnosis. Structural MRI with machine learning techniques has been
widely studied to assess brain atrophy for AD detection and prediction
. In addition to structural changes, metabolic changes in some
brain regions could be a good biomarker for an early AD . Recently,
Magnetic Resonance Spectroscopy (MRS) have been proved to be effective
to quantify certain brain metabolites in vivo . The proposed
internship aims in testing and evaluating the effectiveness of machine
learning techniques for single subject level classification of
individuals affected by different stages of AD (healthy elderly
subjects, Mild Cognitive Impairment (MCI) and AD subjects) based on 1H
MRS data. Data used in this internship are provided by CHU of Poitiers.
-Evaluate and compare several machine learning algorithms for AD
spectroscopy data classification
-Propose solution for learning from few data of spectroscopy data for AD
-Jointly Investigate the structural and metabolic changes associated
with incipient AD pathology to improve MCI subject’s detection.
 Olfa Ben Ahmed et al "Recognition of Alzheimer's Disease and Mild
Cognitive Impairment with multimodal image-derived biomarkers and
Multiple Kernel Learning", International Journal Neurocomputing, vol.
220, p. 98-110, Elsevier 2017
 Sarraf, S., Tofighi, G.,. DeepAD: Alzheimer′s Disease Classification
via Deep Convolutional Neural Networks using MRI and fMRI. bioRxiv 2016
 Wang Z, Zhao C, Yu L, et al Regional metabolic changes in the
hippocampus and posterior cingulated area detected with 3-Tesla magnetic
resonance spectroscopy in patients with mild cognitive impairment and
Alzheimer's disease. Acta Radiol 2009;50:312–19
 Pedro J Modrego et al. Magnetic resonance spectroscopy in the
prediction of early conversion from amnestic mild cognitive impairment
to dementia: a prospective cohort study. BMJ Open 1, e000007.
*Key Words*: Alzheimer, MRI, spectroscopy, Artificial Intelligence,
Machine learning, information fusion, classification
MS student in Computer Science, Image and signal processing, machine
learning or related streams.
Strong knowledge in at least one of the following fields is required:
• good image processing and machine learning knowledge
• mathematical understanding of the formal background
• excellent programming skills (Python, C++, MATLAB)
• biomedical applications would be appreciated
*Salary*: 560€/ Month
*Application: *interested candidates should send their CV and a cover
letter to olfa.ben.ahmed at univ-poitiers.fr
<mailto:olfa.ben.ahmed at univ-poitiers.fr>
Dr. Olfa BEN AHMED
XLIM - University of Poitiers
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